#IBM Maximo Predict

[sonalikrishnan]

Build predictive models with prebuilt templates

IBM Maximo Predict, part of the IBM Maximo Application Suite, focuses on the needs of maintenance managers and reliability engineers to identify potential failures and optimize production output. It looks for patterns in asset data, how the asset is being used, and the environment in which it is operating.

The world is more connected than ever before. Using Internet of Things (IoT) sensors and other technologies, engineers in asset-intensive industries are collecting large amounts of data from their equipment. Yet many engineers struggle to draw insights from this data. They struggle to understand data patterns and the causal relationships that can help them extend asset life, reduce unplanned downtime, and reduce maintenance costs. It’s as if their equipment is speaking on mute. Their equipment has so much to say but they simply can’t hear it.

Contact us free demo: https://pragmaedge.com/contact

[govindhtech]

IBM Maximo AWS Deployment Strategies

The Business Value of IBM Maximo, a recent IDC report that surveyed 9 companies with an average of 8,500 employees, found that adopting IBM Maximo resulted in a business benefit of USD 14.6 million per year per organization, 43% less unplanned downtime, and USD 8.6 million in total equipment cost avoidances.

One comprehensive, cloud-based application platform for asset monitoring, management, predictive maintenance, and reliability planning is IBM Maximo Application Suite (MAS). Maximo optimizes performance, extends asset lifecycles, and reduces downtime and costs for high-value assets using AI and analytics. Hosting Maximo on a scalable infrastructure maximizes performance, hence the current tendency is to shift it to the cloud. In this trip, MAS migration and deployment on AWS Cloud are gaining popularity.

The growing demand for Maximo AWS Cloud migration

Migrating to cloud helps enterprises improve operational resilience and dependability while updating software with minimal effort and infrastructure constraints. Due to the growing demand for data-driven asset management, firms must aggregate data from diverse departments to identify trends, generate predictions, and make better asset management decisions.

Last April, IBM said Maximo 7.6 and add-on support would stop in September 2025. All Maximo EAM customers must upgrade to the latest cloud-based MAS. Maximo migration and modernization are become increasingly significant to clients.

IBM has released new containerized versions of Maximo Application Suite as a Service (MAS SaaS) on AWS Marketplace with Bring Your Own License (BYOL) to assist Maximo migration to AWS. MAS SaaS on AWS is another milestone in Maximo’s integration of Monitor, Health, and Visual Inspection into a unified suite.

What makes MAS SaaS distinct

IBM Site Reliability Engineering (SRE) specialists use best practices to continuously maintain and administer MAS SaaS, a subscription-based AWS service. This partnership gives customers an industry-leading IBM asset management system underpinned by AWS’s size, agility, and cost-efficiency.

Upgrades and migrations to MAS 8 are possible with MAS SaaS. The data update is similar to prior upgrades, but ROSA and other dependencies require architecture changes. The migration is comparable to how clients transitioned from on-premise to Maximo EAM SaaS Flex, but with MAS changes. Perpetual on-premises customers would stop paying Service & Support (S&S) and purchase a SaaS subscription, on-premises Subscription License customers would start a new subscription, and existing MAS Flex and MAS Managed Service customers would start a new subscription to migrate to MAS SaaS.

Our IBM Consulting Cloud Accelerator (ICCA) technology lets firms plan migration and upgrade strategies before investing.

Maximo migration strategy of a global energy firm

IBM worked closely with an energy company confronting the following challenges:

Infrastructure needed for latest Maximo version takes longer.

WebSphere, Maximo’s core, experienced high-availability and performance difficulties.

Lack of data fabric and integration layer hinders cross-application data interchange.

Complex setup, failures, and security with manual end-to-end deployment.

Since Maximo Application Suite 8 (MAS8) tackles industry issues like failure risk, escalating maintenance costs, sustainability, and compliance laws, the customer chose it. The client chose AWS Cloud for its deployment flexibility, scalability, high availability, and secure architecture. 

Approach to solution

This is how IBM accelerated the energy company’s Maximo move to AWS:

Used Infra as a code to upgrade Maximo from 7.6.0.9 to 7.6.1.2.

IaC allowed instance spin-up for auto scaling. This automation reduces the time to spin up and execute the new environment and addresses multi-AWS availability zone deployment latency.

Used AWS DMS for data migration and schema conversion.

IaC spun the DR environment on demand to reduce database replication (DR) infrastructure and expense. DR capabilities update data in availability zone and DR area.

Achieved data exchange across applications using IBM Cloud Pak for Data and standardized integration using IBM Cloud Pak for Integration components.

Solution components

Maximum Enterprise Application Management (EAM) has a 3-tier design with these components:

HTTP/Web Tier and Application Tier using IBM WebSphere and HIS installed EC2 instance under private subnet for application security.

Database Tier uses AWS Oracle RDS with replication for DR under private subnet.

AWS best practices were used to configure VPC with public and private subnets.

Application servers and deployment manager were autoscaled by Auto Scaling Group. 

Maximum web-based UI resolution for external access using AWS Route 53.

WAF was the initial line of defense against web exploits.

Integration of Terraform and CFT IaC scripts provided autoscaling architecture.

AWS Reference Architecture

Max on RedHat OpenShift Service on AWS (ROSA) helps clients

Containerized MAS 8.0 runs on RedHat OpenShift. AWS, IBM, and RedHat developed an IBM MAS on ROSA reference architecture to help customers inexperienced with production containerization. ROSA, a fully managed, turnkey application platform, supports IBM MAS configuration and offloads cluster lifecycle management to RedHat and AWS, allowing organizations to focus on application deployment and innovation. This means IBM MAS clients don’t need to develop, administer, or maintain RedHat OpenShift clusters.

Operating Model and Maximo Migration

Top 3 Maximo AWS migration accelerators

Clients can migrate to the cloud using three IBM MAS deployment methods on AWS Cloud:

ROSA-powered MAS SaaS on AWS

ROSA-powered AWS MAS

Customer-hosted ROSA

Why use customer-hosted ROSA

The customer-hosted ROSA option for hosting IBM MAS in a customer’s VPC with ROSA is powerful. ROSA is perfect for MAS deployments because it seamlessly deploys, scales, and manages containerized applications.

The benefits of this choice are enormous. Full control over the infrastructure while still subject to the organization’s monitoring, controls, and governance standards allows businesses to customize and adjust the environment to their needs. This control includes adding MAS integrations and enforcing cloud security and governance requirements. ROSA charges are combined into one AWS bill and drawn from any AWS enterprise agreement, simplifying financial management.

AWS enterprise agreements and Compute Savings Plans offer infrastructure savings for MAS implementations. Because the ROSA cluster operates under the customer’s AWS account, customers can buy upfront ROSA contracts and get a one-year or three-year ROSA service charge discount.

Why IBM for Maximo AWS migration?

Any modernization effort must include cloud migration. Cloud migration is not a one-size-fits-all method, and each organization faces unique cloud adoption difficulties.

IBM Consulting’s Application Modernization offering helps clients migrate and modernize AWS applications faster, cheaper, and more efficiently, reducing technical debt and accelerating digital initiatives while minimizing business risk and improving business agility.

IBM offers unique cloud migration services to accelerate customer application migration to AWS:

Cloud migration factory capabilities including proven frameworks and processes, automation, migrating templates, security policies, and AWS-specific migration squads speed up delivery.

IBM Garage Methodology, IBM’s cloud services delivery capabilities, ROSA, and AWS Migration tools and accelerators accelerate migration and cloud adoption.

ICCA, IBM’s proprietary framework for migration and modernization, reduces risk. ICCA for AWS Cloud automates various modernization procedures, simplifying and speeding up company agility. Before investing, businesses can plan migration and modernization strategies. Discover IBM Consulting Cloud Accelerator for AWS Cloud.

Our well-defined pattern-based migration methodology includes re-factor, re-platform, and containerization using AWS managed services and industry-leading tools to remove and optimize technical debt.

Finally, IBM offers customizable t-shirt-sized price models for small, medium, and large migration sizes, ensuring clients’ migration scope is obvious.

IBM helps clients migrate applications, like Maximo to AWS Cloud

In conclusion, clients seek IBM’s expertise to:

1.Upgrade Maximo 7.6x (expiring 2025) to MAS 8. 

2.On-premise workload to AWS Cloud for elastic, scalable, and highly available infrastructure and runtime

IBM Consulting can help

AWS Premier Partner IBM Consulting accelerates hybrid cloud journeys on the AWS Cloud by leveraging business and IT transformation skills, processes, and tools from many industries. On AWS Cloud, IBM’s security, enterprise scalability, and open innovation with Red Hat OpenShift enable enterprises grow swiftly.

BM Consulting develops cloud-native apps in AWS Cloud with 21,000+ AWS-certified cloud practitioners, 17 validated SDD programs, and 16 AWS competencies. IBM Consulting is the best AWS partner due to acquisitions like Nordcloud and Taos, advancements at IBM Research, and co-development with AWS.

Read more on Govindhtech.com

[differenttimemachinecrusade]

IoT Analytics Market Analysis: Size, Share, Scope, Forecast Trends & Industry Report 2032

The IoT Analytics Market was valued at USD 26.90 billion in 2023 and is expected to reach USD 180.36 billion by 2032, growing at a CAGR of 23.60% from 2024-2032.

The Internet of Things (IoT) Analytics Market is witnessing exponential growth as organizations worldwide increasingly rely on connected devices and real-time data to drive decision-making. As the number of IoT-enabled devices surges across sectors like manufacturing, healthcare, retail, automotive, and smart cities, the demand for analytics solutions capable of processing massive data streams is at an all-time high. These analytics not only help in gaining actionable insights but also support predictive maintenance, enhance customer experiences, and optimize operational efficiencies.

IoT Analytics Market Size, Share, Scope, Analysis, Forecast, Growth, and Industry Report 2032 suggests that advancements in cloud computing, edge analytics, and AI integration are pushing the boundaries of what’s possible in IoT ecosystems. The ability to process and analyze data at the edge, rather than waiting for it to travel to centralized data centers, is allowing businesses to act in near real-time. This acceleration in data-driven intelligence is expected to reshape entire industries by improving responsiveness and reducing operational lags.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/5493 

Market Keyplayers:

Accenture (myConcerto, Accenture Intelligent Platform Services)

Aeris (Aeris IoT Platform, Aeris Mobility Suite)

Amazon Web Services, Inc. (AWS IoT Core, AWS IoT Analytics)

Cisco Systems, Inc. (Cisco IoT Control Center, Cisco Kinetic)

Dell Inc. (Dell Edge Gateway, Dell Technologies IoT Solutions)

Hewlett Packard Enterprise Development LP (HPE IoT Platform, HPE Aruba Networks)

Google (Google Cloud IoT, Google Cloud BigQuery)

OpenText Web (OpenText IoT Platform, OpenText AI & IoT)

Microsoft (Azure IoT Suite, Microsoft Power BI)

Oracle (Oracle IoT Cloud, Oracle Analytics Cloud)

PTC (ThingWorx, Vuforia)

Salesforce, Inc. (Salesforce IoT Cloud, Salesforce Einstein Analytics)

SAP SE (SAP Leonardo IoT, SAP HANA Cloud)

SAS Institute Inc. (SAS IoT Analytics, SAS Visual Analytics)

Software AG (Cumulocity IoT, webMethods)

Teradata (Teradata Vantage, Teradata IntelliCloud)

IBM (IBM Watson IoT, IBM Maximo)

Siemens (MindSphere, Siemens IoT 2040 Gateway)

Intel (Intel IoT Platform, Intel Analytics Zoo)

Honeywell (Honeywell IoT Platform, Honeywell Forge)

Bosch (Bosch IoT Suite, Bosch Connected Industry)

Trends Shaping the IoT Analytics Market

The evolution of the IoT analytics market is marked by key trends that highlight the sector’s transition from basic connectivity to intelligent automation and predictive capabilities. One of the most significant trends is the growing integration of Artificial Intelligence (AI) and Machine Learning (ML) into analytics platforms. These technologies enable smarter data interpretation, anomaly detection, and more accurate forecasting across various IoT environments.

Another major trend is the shift toward edge analytics, where data processing is performed closer to the source. This reduces latency and bandwidth usage, making it ideal for industries where time-sensitive data is critical—such as healthcare (real-time patient monitoring) and industrial automation (machine health monitoring). Additionally, multi-cloud and hybrid infrastructure adoption is growing as companies seek flexibility, scalability, and resilience in how they handle vast IoT data streams.

Enquiry of This Report: https://www.snsinsider.com/enquiry/5493 

Market Segmentation:

By Type

Descriptive Analytics

Diagnostic Analytics

Predictive Analytics

Prescriptive Analytics

By Component

Solution

Services

By Organization Size

Small & Medium Enterprises

Large Enterprises

By Deployment

On-Premises

Cloud

By Application

Energy Management

Predictive Maintenance

Asset Management

Inventory Management

Remote Monitoring

Others

By End Use

Manufacturing

Energy & Utilities

Retail & E-commerce

Healthcare & Life Sciences

Transportation & Logistics

IT & Telecom

Market Analysis

The IoT analytics market is expected to grow significantly, driven by the proliferation of connected devices and the need for real-time data insights. According to recent forecasts, the market is projected to reach multibillion-dollar valuations by 2032, growing at a robust CAGR. Key factors contributing to this growth include the increasing use of smart sensors, 5G deployment, and a shift toward Industry 4.0 practices across manufacturing and logistics sectors.

Enterprises are rapidly adopting IoT analytics to streamline operations, reduce costs, and create new revenue streams. In sectors such as smart agriculture, analytics platforms help monitor crop health and optimize water usage. In retail, real-time customer behavior data is used to enhance shopping experiences and inventory management. Governments and municipalities are also leveraging IoT analytics for smart city applications like traffic management and energy efficiency.

Future Prospects

Looking ahead, the IoT analytics market holds vast potential as the digital transformation of industries accelerates. Innovations such as digital twins—virtual replicas of physical assets that use real-time data—will become more prevalent, enabling deeper analytics and simulation-driven decision-making. The combination of 5G, IoT, and AI will unlock new use cases in autonomous vehicles, remote healthcare, and industrial robotics, where instantaneous insights are essential.

The market is also expected to see increased regulatory focus and data governance, particularly in sectors handling sensitive information. Ensuring data privacy and security while maintaining analytics performance will be a key priority. As a result, vendors are investing in secure-by-design platforms and enhancing their compliance features to align with global data protection standards.

Moreover, the democratization of analytics tools—making advanced analytics accessible to non-technical users—is expected to grow. This shift will empower frontline workers and decision-makers with real-time dashboards and actionable insights, reducing reliance on centralized data science teams. Open-source platforms and API-driven ecosystems will also support faster integration and interoperability across various IoT frameworks.

Access Complete Report: https://www.snsinsider.com/reports/iot-analytics-market-5493 

Conclusion

The IoT analytics market is positioned as a cornerstone of the digital future, with its role expanding from simple monitoring to predictive and prescriptive intelligence. As the volume, variety, and velocity of IoT data continue to increase, so does the need for scalable, secure, and intelligent analytics platforms. Companies that leverage these capabilities will gain a significant competitive edge, transforming how they operate, interact with customers, and drive innovation.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[chloedecker0]

Choosing the Best APM Software: A Complete Guide to Boosting Business Performance

Have you ever wondered how companies maintain their assets and machinery working smoothly? The corporations built a well-defined asset performance management system.

Asset Performance Management (APM) optimizes physical asset performance and dependability through predictive maintenance, condition-based monitoring, and data analytics, extending lifespan and lowering operational costs.

With APM programs, you can monitor your equipment in real time and use predictive and condition-based maintenance to anticipate possible issues. In this blog, we will explore the depths of APM, exploring its definition, importance, top APM software vendors, etc.

Download the sample report of Market Share: https://qksgroup.com/download-sample-form/market-share-asset-performance-management-apm-software-2023-worldwide-6504 

What is Asset Performance Management (APM)?

Asset performance management (APM) is an asset management framework that reduces unexpected downtime, total maintenance costs, and environmental, health, and safety issues. APM addresses corporate objectives and how to use physical assets to achieve or surpass them. APM improves dependability while lowering costs in industries that need large equipment, such as oil and gas, manufacturing, and utilities.

Robust data management and industry-appropriate asset performance management software can help prevent equipment failure and save operating expenses. Asset performance management software developed to manage business assets. When used in information technology (IT), APM will proactively monitor programs to discover issues early on, allowing them to address them before influencing overall performance. Equipment performance management projects frequently employ big data analytics and artificial intelligence to decrease equipment failure and operating expenses. Asset data is gathered by sensors and evaluated with pattern recognition, predictive analytics, and machine learning techniques.

Top Asset Performance Management Software Vendors

IBM Maximo

IBM Maximo is an application package that suites asset monitoring, predictive maintenance management, and reliability planning. It combines AI, IoT connectivity, and analytics to help you make the most of your assets. It is deployable in the cloud as a managed SaaS service or your local Red Hat OpenShift system.

SAP EAM

SAP EAM is an asset management and maintenance software package that includes modules for asset performance management, collaboration, and spatial management, crowd service, and field service management.

 It includes elements such as risk estimate and failure modes and effects analysis to assist you in developing maintenance programs for improving asset performance and reducing downtime.

eMaint

eMaint is a CMMS platform that provides more comprehensive EAM and asset performance management features. It serves several industries, including food and beverage, automotive, warehousing, and health care, to mention a few.

It provides condition monitoring for asset performance management, allowing you to foresee breakdowns and make corrections based on AI-suggested maintenance tasks.

HxGN EAM

HxGN EAM (previously Infor EAM) is an asset management platform focused on asset performance management.

The cloud-based solution facilitates Geographic Information System (GIS) and Building Information Modeling (BIM) processes so maintenance teams can access critical information essential for assets in specific locations as needed.

It incorporates AI-powered capabilities such as risk management, condition monitoring, and reliability-centered maintenance, allowing you to make real-time, correct asset choices.

Emerson

Emerson, a worldwide technology and engineering firm, offers the Plantweb Optics Asset Performance Platform for asset performance management. The platform uses data from a variety of sources, including sensors, control systems, and maintenance records, to provide real-time asset health insights and predictive maintenance capabilities. Emerson’s solution is utilized by major corporations in the oil and gas, chemical, and power sectors to improve asset performance and save maintenance costs.

Download the sample report of Market Forecast: https://qksgroup.com/download-sample-form/market-forecast-asset-performance-management-apm-software-2024-2028-worldwide-6503 

Choosing the Best APM Software for Your Business Operations

Understanding how to explore multiple options is critical when looking for the best Asset Performance Management (APM) software for your business. This section provides a complete guide to choosing the proper Asset Management software that corresponds with your business goals.

QKS Group’s Market Intelligence Report is useful for firms wanting to select the finest Asset Performance Management Software Market. This research includes in-depth analysis, trends, and reviews of various platforms, revealing information about their capabilities, innovation, and market presence.

According to the Market Share: Asset Performance Management (APM) Software, 2023, Worldwide research, or fast-growing enterprises. Next, undertake extensive research on the various Asset Management software options. Consider their features, scalability, compatibility with your current infrastructure, simplicity of integration, and vendor support. Analyze case studies, customer evaluations, and industry reports to learn about their real-world efficacy.

The Market Forecast: Asset Performance Management (APM) Software, 2024-2028, Worldwide research anticipates sustained industry growth. Moreover, seek software that facilitates a user-friendly interface and offers customization options tailored to your specific requirements.

Talk To Analyst: https://qksgroup.com/become-client 

Conclusion

Selecting software is typically an in-depth process, but it does not have to be stressful. You can find asset performance management software that is right for your firm – and we can assist.

If you’re ready for a more detailed look at these and other leading EAM and asset performance management solutions. It’s an interactive analyst report that helps you compare ratings and reviews from genuine selection initiatives.

[cert007]

C1000-141 IBM Maximo Manage v8.x Administrator Real Dumps

The Salesforce AI Associate Certification is designed for individuals looking to demonstrate their foundational knowledge in the rapidly growing field of artificial intelligence (AI) within the Salesforce ecosystem. With AI becoming a crucial component in digital transformation, this certification opens doors to enhanced career opportunities in Salesforce-powered AI solutions.

In this blog post, we'll introduce the Salesforce AI Associate Certification, provide an overview of the exam's key topics, and recommend the best way to prepare using the latest Salesforce AI Associate practice exam from Cert007.

What is the Salesforce AI Associate Certification?

The Salesforce AI Associate Certification is intended for professionals or newcomers who want to build expertise in AI and its applications within the Salesforce platform. This entry-level certification verifies your ability to understand and apply AI concepts such as machine learning, natural language processing, and predictive analytics, all while using Salesforce tools like Salesforce Einstein and other AI-powered solutions.

The Salesforce AI Associate exam assesses a candidate's understanding of AI concepts, its role in Salesforce, and how to apply these principles to solve real-world business problems. The exam includes multiple-choice questions and practical scenarios to test your knowledge of both Salesforce and AI. Whether you are an administrator, developer, or data professional, earning this certification can significantly elevate your profile in the AI landscape.

Key Content Areas to Master

To successfully pass the Salesforce AI Associate Certification exam, candidates should master the following core content areas:

AI Fundamentals: 17%

Explain the basic principles and applications of AI within Salesforce.

Differentiate between the types of AI and their capabilities.

AI Capabilities in CRM: 8%

Identify CRM AI capabilities.

Describe the benefits of AI as they apply to CRM.

Ethical Considerations of AI: 39%

Describe the ethical challenges of AI (e.g., human bias in machine learning, lack of transparency, etc.).

Apply Salesforce's Trusted AI Principles to given scenarios.

Data for AI: 36%

Describe the importance of data quality.

Describe the elements/components of data quality.

How to Prepare for the Salesforce AI Associate Exam

Preparation is key to success, and using the right resources can make all the difference. We recommend using the latest Salesforce AI Associate practice exam from Cert007 to help you get ready. Cert007 provides:

Realistic Practice Exams: Cert007 offers practice exams that mimic the actual exam format, helping you get familiar with the type of questions you’ll face.

Detailed Explanations: Every question comes with thorough explanations to help you understand the rationale behind the correct answers.

Regular Updates: The practice exams are updated regularly to align with the latest exam objectives and Salesforce updates, ensuring you are studying the most current information.

Study Tips To Pass the Salesforce AI Associate Exam

Understand the Concepts: Make sure you have a firm grasp of AI basics, how Salesforce Einstein works, and how to apply AI in business contexts.

Practice Regularly: Use practice exams to test your knowledge and identify areas where you need more focus.

Join Salesforce Communities: Engage with other candidates or Salesforce professionals in forums to exchange insights and study tips.

Hands-On Experience: If possible, get hands-on experience with Salesforce Einstein or use Salesforce Trailhead modules for guided learning.

Conclusion

The Salesforce AI Associate Certification is a stepping stone for anyone interested in building a career in AI within the Salesforce ecosystem. By mastering key concepts in AI, understanding how Salesforce Einstein works, and applying ethical AI practices, you'll be well-prepared for the exam.

Don't forget to enhance your preparation by using the Salesforce AI Associate practice exam from Cert007, which provides high-quality, up-to-date practice questions to ensure you're fully ready for exam day.

Good luck on your certification journey!

[robertemma27-blog]

Building Twin Market Evolution: Detailed Overview and Future Outlook

The concept of a building twin, also known as the digital twin market for buildings, is revolutionizing the construction and real estate sectors. These digital replicas of physical buildings are not only transforming how structures are designed, managed, and maintained but are also paving the way for smarter and more sustainable urban environments. Below is an in-depth analysis of the building twin market, including its size, share, trends, key players, and more.

What is a Building Twin?

A building twin is a digital replica of a physical building that incorporates real-time data and simulations to mirror the actual structure. It allows for enhanced monitoring, analysis, and optimization of building operations, providing a powerful tool for managing the lifecycle of a building. The building twin integrates data from various sources such as IoT sensors, building information modeling (BIM), and other digital tools, creating a comprehensive and dynamic model of the building.

Download PDF Brochure:

https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=195753377

Building Twin Market Size and Growth

The global building twin market is experiencing rapid growth, driven by increasing demand for smart building solutions and the need for efficient building management. In 2024, the market size is projected to be USD 2.1 billion and is expected to reach USD 13.3 billion by 2029, growing at an impressive compound annual growth rate (CAGR) of 44.7% during the forecast period. This growth is fueled by advancements in IoT, AI, and big data, which are enabling more sophisticated and scalable digital twin solutions.

Building Twin Market Share

The building twin market is currently dominated by a few key players, with a significant portion of the market share held by large technology companies and specialized firms in the construction and real estate sectors. As the market grows, it is expected that more players will enter, further diversifying the competitive landscape.

Building Twin Market Trends

Several trends are shaping the future of the building twin market:

Integration with Smart Building Technologies: As smart buildings become more prevalent, building twins are increasingly being integrated with other smart technologies such as energy management systems, security systems, and HVAC controls.

Sustainability and Green Buildings: Building twins are being used to optimize energy consumption and reduce the environmental impact of buildings, aligning with the growing focus on sustainability.

Real-Time Data and Predictive Analytics: The use of real-time data and predictive analytics is enhancing the capabilities of building twins, allowing for proactive maintenance and better decision-making.

Increased Adoption in Urban Planning: Building twins are being adopted for larger-scale applications such as urban planning and smart city development, where they help optimize infrastructure and resource management.

Top Leading Building Twin Companies

Several companies are leading the charge in the building twin market:

Siemens: A global leader in digital twin technology, Siemens offers comprehensive solutions for building twins, including simulation, analytics, and real-time monitoring.

Microsoft: Through its Azure Digital Twins platform, Microsoft provides a scalable solution for creating and managing building twins.

Autodesk: Known for its BIM solutions, Autodesk is a key player in the building twin market, offering tools for digital twin creation and management.

IBM: IBM’s Maximo platform is widely used for asset management and building twin solutions, integrating IoT and AI for enhanced building operations.

How to Create a Digital Twin of a Building

Creating a digital twin of a building involves several steps:

Data Collection: Gather data from various sources, including BIM, IoT sensors, CAD drawings, and other digital tools. This data forms the foundation of the digital twin.

Modeling: Use BIM software to create a detailed 3D model of the building. This model should include all relevant structural, mechanical, electrical, and plumbing details.

Integration: Integrate real-time data from IoT sensors and other monitoring systems into the digital model. This step allows the twin to reflect real-time changes in the physical building.

Simulation and Analytics: Implement simulation and analytics tools to analyze building performance, predict potential issues, and optimize operations.

Deployment and Maintenance: Deploy the digital twin for ongoing monitoring and management of the building. Regular updates and maintenance are required to ensure the twin remains accurate and useful.

Building Twin Market Outlook and Future Trends

The outlook for the building twin market is highly positive, with strong growth expected in the coming years. As technology continues to evolve, building twins will become more sophisticated, offering even greater value in terms of efficiency, cost savings, and sustainability.

The smart building market, closely related to the building twin market, is also growing rapidly. The global smart building market is expected to reach USD 121.6 billion by 2026, driven by the increasing adoption of IoT, AI, and other advanced technologies.

Disadvantages of Building Twins in Construction

While building twins offer numerous benefits, there are some challenges and disadvantages to consider:

High Initial Costs: The creation and implementation of a building twin can be expensive, particularly for large and complex structures.

Data Management: Managing the vast amounts of data required for an accurate digital twin can be challenging and resource-intensive.

Complexity: The complexity of integrating various systems and data sources can be a barrier to adoption, particularly for smaller companies or less technologically advanced sectors.

Time Required to Build a Digital Twin

The time it takes to create a digital twin of a building depends on the size and complexity of the structure, as well as the level of detail required. For a typical commercial building, the process can take anywhere from several weeks to several months. Large or highly complex structures may take longer.

Largest Market for Building Twins by Region

Currently, North America is the largest market for building twins, driven by the high adoption rate of advanced technologies and the presence of major players in the region. However, Asia-Pacific is expected to experience the highest growth rate in the coming years, fueled by rapid urbanization and smart city initiatives.

Is Building Twin a Metaverse?

While the concept of a building twin shares some similarities with the metaverse, particularly in terms of creating a digital representation of a physical space, they are distinct. A building twin is a functional tool used for monitoring and managing physical buildings, whereas the metaverse is a broader concept encompassing virtual environments for various purposes, including social interaction, entertainment, and commerce.

Next Big Trend in Building Twins

The next big trend in building twins is likely to be the integration of AI and machine learning for predictive analytics and autonomous building management. Additionally, as the technology matures, we can expect to see more widespread adoption of building twins in residential buildings and smaller commercial properties, expanding the market further.

Inquiry Before Buying:

https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=195753377

Building Twin Market by Application: An In-Depth Analysis

Below is a detailed analysis of the building twin market segmented by key applications, including Design & Construction, Facility Management, Predictive Maintenance, Safety & Security Management, Energy Management, and other emerging applications.

1. Design & Construction

Design & Construction is one of the primary applications of building twins. In this phase, digital twins are used to create accurate and dynamic models of buildings before and during construction. These models help architects, engineers, and contractors visualize the building in a virtual environment, allowing them to simulate various scenarios and make data-driven decisions.

Benefits:

Enhanced collaboration among stakeholders.

Reduced errors and rework by identifying potential issues early in the design phase.

Optimization of construction schedules and resource allocation.

Impact:

Building twins in design and construction significantly reduce project timelines and costs, ensuring that the final structure is built according to specifications with minimal deviations.

2. Facility Management

Facility Management is another critical application area for building twins. Once a building is operational, the digital twin acts as a real-time, living model of the structure, providing facility managers with a comprehensive tool for monitoring and managing the building's operations.

Benefits:

Streamlined management of building systems, including HVAC, lighting, and security.

Enhanced occupant comfort and safety through real-time monitoring and control.

Improved space utilization and maintenance scheduling.

Impact:

Digital twins in facility management contribute to significant cost savings by optimizing maintenance schedules and extending the life of building systems. They also enhance the overall efficiency of building operations, leading to better ROI for building owners.

3. Predictive Maintenance

Predictive Maintenance is a transformative application of building twins, where data from sensors and IoT devices embedded in the building are analyzed in real-time to predict when maintenance is needed.

Benefits:

Prevention of costly equipment failures through early detection of potential issues.

Reduction in unplanned downtime by scheduling maintenance only when necessary.

Extended lifespan of building systems and equipment.

Impact:

Predictive maintenance is one of the most impactful applications of building twins, as it can significantly reduce maintenance costs while improving the reliability and efficiency of building operations.

4. Safety & Security Management

Safety & Security Management is an increasingly important application of building twins, particularly in large, complex structures like office buildings, hospitals, and shopping centers. Digital twins provide real-time data and simulations to enhance safety and security measures.

Benefits:

Real-time monitoring of building security systems, including surveillance cameras, access control, and emergency response systems.

Simulation of emergency scenarios to improve preparedness and response strategies.

Enhanced risk management through continuous analysis of security data.

Impact:

The application of building twins in safety and security management can save lives by ensuring that buildings are well-prepared for emergencies and that security systems are always functioning optimally.

5. Energy Management

Energy Management is another critical application area where building twins play a vital role. Digital twins enable real-time monitoring and optimization of a building's energy consumption, contributing to sustainability goals and cost savings.

Benefits:

Optimization of energy use by analyzing consumption patterns and identifying inefficiencies.

Integration with renewable energy sources to balance energy loads and reduce reliance on non-renewable energy.

Contribution to green building certifications and compliance with energy regulations.

Impact:

Building twins in energy management help reduce a building’s carbon footprint while lowering operational costs. This application is especially important as the world moves towards more sustainable construction practices.

6. Other Applications

Beyond the primary applications mentioned above, building twins are finding use in various other areas, including:

Urban Planning: Digital twins are used to model and simulate entire neighborhoods or cities, allowing urban planners to optimize infrastructure and resources.

Tenant Experience Management: Building twins can be used to enhance the tenant experience by personalizing services and amenities based on real-time data.

Renovation and Retrofit Planning: Digital twins help in planning and executing renovations by providing an accurate model of the existing structure.

Market Outlook and Future Trends

The building twin market is poised for significant growth across these applications, driven by the increasing adoption of IoT, AI, and big data technologies. As the technology matures, we can expect even more innovative applications to emerge, further expanding the market. The focus will likely shift towards enhancing the integration of digital twins with other smart building technologies, leading to more efficient, sustainable, and intelligent building management.

Explore the full Table of Contents here - https://www.marketsandmarkets.com/Market-Reports/building-twin-market-195753377.html

Contact:

Mr. Rohan Salgarkar

MarketsandMarkets™ INC.

1615 South Congress Ave.

Suite 103

Delray Beach, FL 33445

USA: +1-888-600-6441 Email: sales@marketsandmarkets.com

[erpsoftwaredubaiuae]

Top Fixed Assets Management Software for Dubai Businesses in 2024

As Dubai continues to establish itself as a global business hub, efficient management of fixed assets has become increasingly crucial for companies of all sizes. Fixed assets, which include buildings, machinery, vehicles, and equipment, are significant investments that require careful tracking and maintenance. In 2024, the right Fixed Assets Management Software (FAMS) can provide Dubai businesses with the tools they need to manage these assets effectively, reduce operational costs, and ensure compliance with local regulations.

In this blog, we will explore some of the top Fixed Assets Management Software options available for Dubai businesses in 2024, highlighting their key features, benefits, and why they stand out in a competitive market.

1. SAP S/4HANA

SAP S/4HANA is a leading enterprise resource planning (ERP) system that includes a robust module for fixed assets management. Designed for large enterprises, this software offers comprehensive tools for tracking, depreciating, and maintaining fixed assets.

Key Features:

Real-time asset tracking and reporting

Integrated with financial and operational systems

Automated depreciation calculations based on UAE tax laws

Scalable solutions for businesses of all sizes

Why It’s Great for Dubai Businesses: SAP S/4HANA’s ability to handle large volumes of data and integrate with other SAP modules makes it an ideal choice for large enterprises in Dubai. Its compliance with local financial regulations ensures that businesses can manage their assets in line with UAE laws.

2. Oracle NetSuite

Oracle NetSuite is another powerful ERP solution that includes fixed assets management capabilities. It is particularly popular among mid-sized businesses due to its flexibility and cloud-based infrastructure.

Key Features:

Cloud-based accessibility for remote management

Comprehensive asset lifecycle management

Customizable depreciation schedules

Integration with accounting and procurement modules

Why It’s Great for Dubai Businesses: Oracle NetSuite’s cloud-based nature allows Dubai businesses to manage their assets from anywhere, a feature particularly valuable in a city known for its dynamic business environment. Its customizable options make it suitable for a wide range of industries.

3. IBM Maximo

IBM Maximo is known for its asset management capabilities, particularly in industries such as manufacturing, utilities, and transportation. It provides detailed insights into asset performance and maintenance needs.

Key Features:

Predictive maintenance tools

Detailed asset performance analytics

Integration with IoT devices for real-time monitoring

Comprehensive reporting and compliance features

Why It’s Great for Dubai Businesses: For businesses in Dubai that rely heavily on physical infrastructure, such as construction companies or manufacturing plants, IBM Maximo offers advanced tools to extend asset life and reduce downtime, which is crucial for maintaining competitive advantage.

4. Infor EAM (Enterprise Asset Management)

Infor EAM is a versatile asset management software that offers industry-specific solutions, making it ideal for businesses with unique requirements.

Key Features:

Industry-specific asset management modules

Cloud and on-premise deployment options

Mobile accessibility for on-the-go asset management

Advanced analytics and reporting

Why It’s Great for Dubai Businesses: Infor EAM’s ability to tailor solutions to specific industries makes it a great choice for specialized businesses in Dubai, such as those in the hospitality or real estate sectors. The mobile accessibility feature is particularly useful in Dubai’s fast-paced business environment.

5. Sage Fixed Assets

Sage Fixed Assets is designed specifically for managing fixed assets, making it a focused solution for businesses looking to streamline their asset management processes.

Key Features:

Easy-to-use interface with intuitive asset tracking

Comprehensive depreciation management

Built-in compliance with local and international regulations

Seamless integration with Sage’s accounting software

Why It’s Great for Dubai Businesses: For small to medium-sized businesses in Dubai, Sage Fixed Assets offers an affordable, user-friendly solution that doesn’t compromise on functionality. Its strong focus on compliance ensures that businesses can avoid costly errors related to asset management.

6. Asset Panda

Asset Panda is a cloud-based asset management platform that is both powerful and highly customizable, making it a popular choice for businesses of all sizes.

Key Features:

Customizable asset tracking and management

Mobile app with barcode scanning for easy data entry

Cloud-based with real-time data access

Comprehensive reporting and analytics

Why It’s Great for Dubai Businesses: Asset Panda’s flexibility and ease of use make it an attractive option for Dubai businesses looking for a solution that can grow with them. The mobile app is particularly useful for companies with assets spread across multiple locations in the city.

7. FMIS Fixed Asset Management

FMIS offers a specialized fixed asset management solution that is designed to integrate with existing financial systems, providing a seamless experience for users.

Key Features:

Detailed asset tracking and audit trails

Integration with ERP and accounting systems

Advanced depreciation calculations

Compliance with international accounting standards

Why It’s Great for Dubai Businesses: FMIS Fixed Asset Management’s ability to integrate with existing systems makes it an ideal choice for businesses in Dubai that already have established financial processes. Its detailed audit trails also help businesses meet stringent regulatory requirements.

Conclusion

Choosing the Best Fixed Assets Management Software Dubai is a crucial decision for any business, especially in a dynamic market like Dubai. The options listed above offer a range of features and benefits that can help businesses manage their assets more effectively, ensuring compliance, reducing costs, and improving overall efficiency.

When selecting software, it's important to consider the specific needs of your business, including the industry you operate in, the size of your company, and your long-term growth plans. By investing in the right Fixed Assets Management Software, Dubai businesses can position themselves for continued success in 2024 and beyond.

[bizworldinsights]

Enterprise Asset Management (EAM)

The global market size for Enterprise Asset Management (EAM) is estimated to reach US$ 5.3 billion in 2019, with an expected CAGR of 8.7% during the forecast period. Key factors such as optimizing enterprise costs and performance, managing OPEX and CAPEX, and fostering collaboration among OEMs and service providers are anticipated to fuel market growth. Technology enablers, including increased adoption of IoT, analytics across various industries, and enterprise mobility, contribute to the sector's advancement. Certain end-user industries, such as healthcare and manufacturing, are keen on adopting solutions compliant with diverse local and regional regulations.

To read more about the topic please visit site : https://bekryl.com/industry-trends/enterprise-asset-management-eam-market-share-analysis

Latest News, Key Developments, and Trends in the EAM Market:

Industry players are actively engaging in collaborations, mergers, and product launches to strengthen their local or regional presence and expand their solution portfolios.

In January 2019, CentralSquare Technologies acquired Lucity, Inc., a US-based EAM solution provider, aiming to broaden its solution portfolio and enhance its government sector presence.

August 2019 saw the release of 'Validated Maximo,' a cloud-based IBM Maximo EAM solution for the life sciences market, announced by GenesisSolutions and Projetech Inc.

Global EAM Market Analysis and Insights, by Region:

North America dominated the global EAM market in 2019, securing over 37% revenue share. The region's growth is fueled by increasing complexity, stringent government regulations, and the rising adoption of cloud-based solutions among medium-sized enterprises.

The Asia Pacific EAM market is expected to witness a significant CAGR during the forecast period, driven by higher investments and steady growth in the healthcare industry.

Global EAM Market Size and Forecast: Competition Landscape:

IBM Corporation currently holds the dominant position in the global EAM market, accounting for 35% market share, followed by SAP with over 12%. These key players are focusing on integrating IoT-based solutions into their EAM portfolios to tap into lucrative markets. Additionally, some players are keen on enhancing their presence in emerging markets.

Key EAM Market Players:

Oracle Corporation

IBM Corporation

IFS

SAP

ABB

Intelligent Process Solutions

Maintenance Connection

AVEA

Nuvolo

Aptean

eMaint

CGI

UpKeep

AssetWorks

Ultimo Software Solutions

RFgen Software

Research Scope:

By Product Type:

Solution Type

Asset Lifecycle Management

Inventory Management

Work Order Management

Labor Management

Reporting and Analytics

Predictive Maintenance

Facility Management

Services

Managed Services

Professional Services

By Deployment Type:

On-premise

Cloud-based

By Organization Type:

Small and Medium Enterprises

Large Enterprises

By End-use:

Energy and Utilities

Manufacturing

BFSI

Healthcare

Transportation and Logistics

IT and Telecom

Government and Defense

Others

[james-pratt]

What is the difference between IBM Maximo's Enterprise Asset Management and Asset Performance Management?

I now certified to sell IBM Maximo Enterprise Asset Management software.

Wind turbines under construction in central Oklahoma near Calumet. IBM Maximo can be used to track maintenance and provide predictive analysis on repairs using Watson AI technology. IBM’s Maximo software is a comprehensive suite of applications designed to help industries such as electrical power generation and transmission, governments, and manufacturers manage and optimize their myriad of…

[fumpkins]

IBM to Develop an AI-Powered IoT Solution to Help Clients Manage and Monitor Aging Bridges, Tunnels, Highways and Railways

Utilizing drones for assessment. Credit: Sund & Bælt

At IBM’s IoT Exchange, IBM today revealed a cooperation with Sund & Bælt — which owns and runs a few of the biggest facilities worldwide — to help in IBM’s advancement of an AI-powered IoT solution created to help extend the life-span of aging bridges, tunnels, highways, and railways. The brand-new market solution, IBM Maximo for Civil Facilities, additional extends the IBM Maximo portfolio while supplying deep market and task-specific performance to help companies manage, monitor and administer their facilities properties.

Weakening facilities is a worldwide difficulty. Organizations battle with aging centers, the trouble of physical examinations and high expense of ongoing upkeep.  According to the American Roadway & Transport Builders Association 2019 Bridge Report, in the United States, 47,052 bridges are thought about “structurally deficient.” Today’s statement leverages Sund & Bælt’s functional competence with IBM’s Maximo Business Possession Management and Possession Efficiency Management (APM) services, to help extend the life-span of facilities and minimize total upkeep expenses.

Maximo for Civil Facilities combines different sources of information consisting of upkeep and style information, near real-time IoT information created from sensing units put on structures, wearables from employees, fixed electronic cameras and drones, and weather condition information from The Weather condition Business, to help clients recognize and determine the effect of damage such as fractures, rust and rust, along with displacement vibrations and tension. By carrying out predictive and authoritative upkeep methods utilizing IBM Maximo APM paired with AI visual acknowledgment tools established by IBM Research study, companies can strive to design, map and monitor each structure. This can help them carry out fast evaluation to focus on upkeep choices that target crucial repair work, and address compliance problems in order to help them fulfill regulative responsibilities.

“Bridges, tunnels, and roads provide access to family, job opportunities, education and more, but much of this infrastructure is aging. With Maximo for Civil Infrastructure, IBM is applying IoT and AI technology to help organizations improve the way these structures are monitored and managed,” stated Kareem Yusuf, Ph.D., General Supervisor, IBM Watson IoT. “Sund & Bælt’s industry expertise coupled with IBM’s 30-year investment in Maximo capabilities for the management of physical assets and  IBM’s Maximo Asset Performance Management portfolio, can be leveraged to help organizations with their maintenance and operation of aging infrastructure worldwide.”

Sund & Bælt makes use of AI to preserve a few of the world’s biggest bridges

Sund & Bælt owns and runs a few of the biggest facilities worldwide, such as the Storebælt Link and the 16km Øresund Link in between Denmark and Sweden. Presently preparing building and construction for the world’s longest immersed tunnel, the 18 km Femern Belt Fixed Link in between Denmark and Germany, Sund & Bælt is working  to likewise make this Europe’s most intelligent tunnel. The Maximo for Civil Facilities solution is created to help companies more effectively run and preserve this essential public facilities.

“As our infrastructure facilities are aging and traffic increases, it is crucial for us to take in new methods for keeping the structures safe and operational at all times while avoiding rising costs,” stated Mikkel Hemmingsen, CEO at Sund & Bælt. “Collaborations with world leading tech-partners such as IBM can help us secure the future operation of our link, and at the same time we are pleased that the know-how from our operation can benefit organizations in the industry around the globe through this new IoT solution.”

About IBM IoT Exchange: At IBM IoT Exchange, IBM will lay out brand-new offerings, customer engagements, collaborations, technology advancements and designer tools that highlight how IBM and partners are driving higher functional performance and efficiency by using the power of IoT information and expert system. For more details about IoT Exchange check out: https://www.ibm.com/internet-of-things/news-views/conference/ and follow the conference on Twitter at #watsoniot and #iotexchange. For more details on IBM Watson IoT, please visit www.ibm.com/iot.

New post published on: https://livescience.tech/2019/04/27/ibm-to-develop-an-ai-powered-iot-solution-to-help-clients-manage-and-monitor-aging-bridges-tunnels-highways-and-railways/

[govindhtech]

Applications of Generative AI in Digital Twins

A digital twin is the identical copy of a physical item that exists only in the digital realm. It does this by combining data from the real environment (both in real time and from the past) with engineering, simulation, or machine learning (ML) models in order to improve operations and assist with human decision-making.

Conquer obstacles to maximize the benefits of the digital twin

It is necessary to have a data and logic integration layer in addition to a role-based presentation in order to reap the benefits of having a digital twin. In any asset-intensive business, such as the energy and utility industries, you are required to integrate a variety of data types, as shown in Figure 1. These data sets include things like:

OT (real-time data from equipment, sensors, and the internet of things)

Information technology solutions such as enterprise asset management (like Maximo or SAP, for instance)

Management of the plant’s lifecycle systems

ERP in addition to a variety of other unstructured data types, including P&ID, visual pictures, and auditory data

For the presentation layer, you can leverage various capabilities, such as 3D modeling, augmented reality and various predictive model-based health scores and criticality indices. At IBM, we strongly believe that open technologies are the required foundation of the digital twin.

When leveraging traditional ML and AI modeling technologies, you must carry out focused training for siloed AI models, which requires a lot of human supervised training. This has been a major hurdle in leveraging data—historical, current and predictive—that is generated and maintained in the siloed process and technology.

As illustrated in Figure 2, the use of generative AI increases the power of the digital twin by simulating any number of physically possible and simultaneously reasonable object states and feeding them into the networks of the digital twin.

he current status of the physical item may be continually determined with the use of these skills. For instance, heat maps may be used to highlight where potential bottlenecks in the power network may arise as a result of an anticipated heat wave that is induced by intensive use of air conditioning (and how these bottlenecks could be alleviated by intelligent switching). In addition to the requirement for an open technical basis, it is essential that the models be reliable and geared toward the business domain.

Use applications for generative artificial intelligence and digital twins in asset-intensive sectors

When generative AI is leveraged for digital twin technologies in an asset-intensive business, such as energy and utilities, several use cases become a reality. Take a look at some of the following use cases that were submitted by our customers in the industry:

1.A look behind the scenes: We are able to make use of the neural network architectures by first developing a fundamental model of a number of different utility asset classes, such as towers, transformers, and lines; then, by using large scale visual pictures; and last, by adapting to the client configuration. We may make use of this to scale the application of artificial intelligence in the identification of abnormalities and damages on utility assets as an alternative to manually evaluating the image.

2.Management of the performance of assets: We build large-scale fundamental models for anomaly detection based on time series data and its co-relationship with other types of data, such as work orders, event prediction, health ratings, criticality index, user manuals, and other types of unstructured data. We make use of the models to construct individual twins of assets, and these twins contain all of the historical knowledge that is relevant to the functioning of the asset in the present and the future.

3.Services in the field: We construct a question-answer feature or multi-lingual conversational chatbot (based on documents or dynamic material from a large knowledge base) that gives field service support in real time by utilizing retrieval-augmented generation activities to create the feature. This technology has the potential to have a significant influence on the performance of field services crews as well as an increase in the dependability of energy services. It does this by providing answers to asset-specific inquiries in real time, without the need to send the end user to documentation, links, or a human operator.

The area of artificial intelligence (AI) faces new challenges as a result of the development of generative AI and large language models (LLMs), and we do not pretend to have all the answers to the concerns that these new solutions raise. IBM is aware that fostering trust and openness in artificial intelligence is not a technological barrier, but rather a socio-technology challenge. This is something that the company is well aware of.

We see a high percentage of artificial intelligence initiatives become stalled in the proof of concept phase for a variety of reasons, including misalignment with business strategy and lack of faith in the model’s outcomes. IBM combines a large amount of experience in the field of transformation with industry expertise as well as proprietary and partner technology. IBM ConsultingTM is in a position to assist organizations in developing the strategy and capabilities necessary to operationalize and scale trusted AI in order to achieve their goals because of the mix of expertise it possesses and the partnerships it maintains.

At the moment, IBM is one of the very few companies on the market that not only offers solutions based on artificial intelligence (AI), but also has a consulting practice that is dedicated to assisting customers in the ethical and responsible application of AI. The Center of Excellence for Generative AI at IBM helps clients build ethically acceptable generative AI solutions and operationalize the whole AI lifecycle.

The process of using generative AI should, among other things: a) be driven by open technologies; b) ensuring that AI is accountable and managed in order to establish confidence in the model; and c) empower those who use your platform. As energy and utility companies work to upgrade their digital infrastructure in preparation for the transition to renewable energy, we think that generative artificial intelligence has the potential to help turn the digital twin promise into a reality. You can become an AI value generator by partnering with IBM Consulting, which gives you the ability to train, deploy, and administer data and AI models on your own.

https://govindhtech.com/applications-of-generative-ai-in-digital-twins/

[differenttimemachinecrusade]

Connected Mining Market Overview: Key Innovations and Future Trends 2032

The Connected Mining Market Size was valued at USD 12.80 billion in 2023 and is expected to reach USD 31.31 billion by 2032, growing at a CAGR of 10.48% over the forecast period 2024-2032

Connected Mining is revolutionizing the global mining industry by integrating digital technologies, IoT, and automation to enhance efficiency, safety, and sustainability. The demand for real-time monitoring, predictive maintenance, and remote operations is driving the rapid adoption of connected solutions. As mining companies strive to optimize productivity while reducing environmental impact, connected mining is becoming a crucial component of modern mining operations.

Connected Mining Market continues to evolve, enabling better decision-making, cost efficiency, and safer working environments. With advancements in AI, machine learning, and cloud computing, mining companies are shifting towards smart mines that leverage data analytics to improve operational performance. Governments and industry players are investing heavily in digital transformation to meet the growing demand for minerals while addressing environmental concerns.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/3778 

Market Keyplayers:

Cisco (Industrial IoT Solutions, Networking for Mining Operations)

IBM (Maximo Asset Management, IBM Watson for IoT)

Eurotech Communication (Everyware IoT, ReliaGate Edge Gateway)

SAP (SAP Digital Manufacturing Cloud, SAP Leonardo IoT)

ABB (ABB Ability MineOptimize, ABB Ability Safety and Asset Management)

Schneider Electric (EcoStruxure Mining, EcoStruxure Asset Advisor)

Rockwell Automation (FactoryTalk, PlantPAx Distributed Control System)

Komatsu (Komatsu Mining Service, Autonomous Haulage System)

Caterpillar (Cat MineStar, Cat Command for Hauling)

Trimble (Trimble Connected Mine, Trimble Fleet Management)

PTC (ThingWorx, Vuforia Augmented Reality)

Siemens (MindSphere, Siemens Digital Industries)

MST Global (MST iVolve, IntelliFLEET)

Howden (Howden Compressors, Howden Fans for Mining Ventilation)

Hexagon (MinePlan, HxGN MineOperate)

Accenture (Accenture Connected Mining, Accenture IoT Analytics)

Hitachi (Hitachi Smart Mining, IoT for Mining Equipment)

Wipro (Wipro’s IoT for Mining, Wipro Connected Solutions)

GE Digital (Predix, GE Digital APM)

Getac (Getac Mining Solutions, Getac Rugged Devices for Mining)

Trends Shaping the Connected Mining Market

IoT and Real-Time Monitoring – The integration of IoT sensors allows mining operators to track equipment performance, detect faults, and prevent unexpected downtime.

Automation and Remote Operations – Autonomous vehicles and remote-controlled machinery are reducing labor risks and increasing efficiency in hazardous mining environments.

AI and Predictive Analytics – Advanced AI algorithms are being used for predictive maintenance, resource estimation, and risk assessment to optimize production.

Sustainable Mining Practices – Connected mining technologies are helping companies minimize their carbon footprint by improving energy management and reducing waste.

Enquiry of This Report: https://www.snsinsider.com/enquiry/3778 

Market Segmentation:

By Offering

Solutions

Asset Tracking and Optimization

Fleet Management

Industrial Safety and Security

Workforce Management

Analytics and Reporting

Process Control

Others

Services

Professional Services

Managed Services

By Mining Type

Surface

Underground

By Deployment

On-premises

Cloud

By Application

Exploration

Processing and Refining

Transportation

Market Analysis

The connected mining market is experiencing significant growth, driven by technological advancements and increased investment in digital transformation.

Rising Demand for Efficiency – Mining companies are adopting connected solutions to maximize output and minimize operational costs.

Increasing Safety Regulations – Governments worldwide are enforcing strict safety guidelines, pushing the industry to adopt automated and remote-controlled operations.

Adoption of Cloud and Edge Computing – Real-time data processing through cloud and edge computing is enhancing decision-making and operational efficiency.

Growth in Emerging Markets – Developing countries are investing in smart mining technologies to boost production and compete globally.

Future Prospects

Connected Mining is set to become a standard in the industry, with continued advancements in AI, 5G connectivity, and digital twin technology. The increasing need for sustainable mining solutions and efficient resource management will drive further innovation in the sector. As more mining companies embrace digitalization, the industry will witness improved productivity, reduced environmental impact, and enhanced worker safety.

Access Complete Report: https://www.snsinsider.com/reports/Connected-Mining-Market-3778 

Conclusion

The connected mining market is rapidly expanding, reshaping the mining sector with smart, data-driven technologies. Companies investing in automation, AI, and IoT solutions will gain a competitive edge while ensuring safer and more efficient mining operations. As the demand for minerals continues to rise, connected mining will play a pivotal role in shaping the future of the industry.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[anitakumarigrewal]

Rising Insights of Global Remote Asset Management Market Outlook: Ken Research

Remote asset management is an analytical system that monitors and maintains the belongings of remote areas or offices. Remote asset management offers real-time two-way communication between the organization's asset and central observing application. This permits central watching application to have well control and management of the assets. Remote asset management are profitable, efficient and convenient for surveillance operations.  Implementation of remote asset management solution assistances increases overall equipment efficacy leading to higher management in better control and management of assets. Enterprises have embraced remote asset management to boost remote authorization of assets and decrease maintenance prices.

According to the analysis, ‘Global Remote Asset Management Market to reach USD 42.8 billion by 2027.’There are plenty of firms that are operating for the enhancement of the market which consist of Cisco Systems, Inc., International Business Machines (IBM) Corporation, Schneider Electric, Rockwell Automation, Inc., Infosys Limited, Siemens AG, SAP SE, Hitachi, Ltd., AT&T Inc., PTC Inc.The global Remote Asset Management is being extremely demanded owing to the corona virus pandemic as workers are asked to work from home and organizations are temporary shutdown. Therefore numerous corporations are adapting Remote Asset Management for functioning their business competently. The surge within the adoption of IoT-enabled remote asset management solutions to manage assets effectiveness, reducing price of IoT-based sensors optimize asset life cycle during remote asset management solutions and extrapolative maintenance to increase the acceptance of remote asset management, thereby reducing operational price of remote assets encourages the expansion of the global Remote Asset Management Market. Additionally, the rising advancements and other strategic alliance by market key players will make a profitable demand for this market. For example: on 06th November 2019, U.S. based IBM propelled Maximo Asset Monitor, a new AI-powered monitoring solution. A Maximo Asset Monitor assistances organization to conserve operates and enhances the performance of their high-value physical assets remotely. However, concerns of administrations related to data security and confidentiality is the main issue obstructing the expansion of global Remote Asset Management market throughout the forecast period.

The regional examination of global Remote Asset Management Market is taken into the account for the key regions like Asia Pacific, North America, Europe, Latin America and remainder of the World. North America is that the main county over the world in terms of market share because of the rising adoption of latest technologies and infrastructure development within the region. Whereas, Asia-Pacific is in addition predicted to exhibit maximum growth rate / CAGR over the forecast period 2020-2027.

Furthermore, the remote asset management market is predictable to register the significant expansion in the short and long run, attributed to an enhanced demand for connected devices; rise in affordability of cloud computing services; improved internet connectivity; decreased cost of components; increase in Information, Communication, & Technology (ICT) expenditure by administrations in the numerous developed and the emerging regions, including North America, Europe, and Asia-Pacific. Additional factors that increase the remote asset management market are high mobile adoption, rise in broadband penetration, and major advancements in the field of IoT. Thus, it is predicted that the Global Remote Asset Market can increase within approaching years.

For More Information, click on the link below:-

Global Remote Asset Management Market Research Report

Related Report:-

Global Remote Asset Management Market Report 2020 by Key Players, Types, Applications, Countries, Market Size, Forecast to 2026 (Based on 2020 COVID-19 Worldwide Spread)

Contact Us:-

Ken Research

Ankur Gupta, Head Marketing & Communications

ankur@kenresearch.com

+91-9015378249

[srimanasvi]

What is predictive monitoring and how to make...

DYK what predictive monitoring is, and how to make it happen? Rob Mora from @NovateInc explains on our IBM blog (and #Maximo Academy!)

What is predictive monitoring and how to make...

Predictive monitoring is a game changing concept in almost every industry. But what can be predicted? How can it work within existing infrastructures? And what will it take to make a reality?

IBM Get Social Hub

[itschitra]

What is predictive monitoring and how to make...

DYK what predictive monitoring is, and how to make it happen? Rob Mora from @NovateInc explains on our IBM blog (and #Maximo Academy!)

What is predictive monitoring and how to make...

Predictive monitoring is a game changing concept in almost every industry. But what can be predicted? How can it work within existing infrastructures? And what will it take to make a reality?

IBM Get Social Hub

[mitchellbelstead6675]

Smart Water Management Market Analysis & Forecast with 2020

Global Smart Water Management Market: Overview

Set to grow at a magnificent rate (CAGR - Compound Annual Growth Rate) the global smart water management market is ready to reach a significant market valuation by the end of the forecast period - from 2019 to 2027.  Some of the significant reasons behind the steady growth projected for the market over the stated period are growing demand for quality water services, and up-gradation of water related infrastructure. Besides, growing digitalization of the utilities sector is also supporting growth in the market. Additionally, it is worth noting here that the government regulations emerging in the market landscape are also favouring growth.

Global Smart Water Management Market: Notable Development

The global smart water management market is expected to grow at an impressive CAGR owing to a couple of reasons. Some of these are related to the active vendor landscape of the market. Certain developments that have happened in the recent past and are ready to shape the future of this marketscape are outlined below:

In the year 2019, Itron and Xcel Energy forged an alliance to improve market penetration (for former), and efficiency, reliability, and security (for the latter). In the same year, Maximo Asset Monitor was launched by IBM. It is a monitoring solution that is powered by artificial intelligence technology or AI. By helping high value assets (physical) gain improvement in performance, it allows for better maintenance and operations. Additionally, in 2019 itself, Kemira and ABB entered into a partnership to combine ones expertise in treatment of water with other’s automation solutions.

Request A Sample Copy Of The Report https://www.transparencymarketresearch.com/sample/sample.php?flag=S&rep_id=1196

The global smart water management market is fragmented and with entry of new players, the competitive landscape is predicted to be more fragmented. Key names in the global smart water management market are:

ABB (Switzerland)

Arad Group (Israel)

AquamatiX (UK)

Badger Meter (US)

Honeywell Elster (US)

Huawei (China)

HydroPoint (US)

IBM (US)

i2O (UK)

Itron (US)

Oracle (US)

Landis+Gyr (Switzerland)

Sensus (US)

Schneider Electric (France)

Siemens (Germany)

Suez (France)

SenzIoT (India)

TaKaDu (Israel)

Trimble Water (US)

XENIUS (India)

Global Smart Water Management Market:  Key trends and driver

It is pertinent to note here that a plethora of trends and drivers are supporting growth in the global smart water management market. Some of these are outlined below:

Demand for quality water management is increasing as need for water increases and its availability hits a new low. This is also the reason why governments across the world are trying to promote smart water management.

In order to ensure water management is proper, need to improve existing infrastructure is high and this is leading to demand for smart water management, helping the market take a high growth trajectory.

Global Smart Water Management Market:  Regional Analysis

The Asia Pacific region (APAC) holds a major chunk of the market share and the trend is set to roll into the forecast period, for which the market is assessed in the upcoming report of Transparency Market Research. Some of the factors underscoring this growth are a massive population marking the region, industrialization, and urbanization. Besides, owing to the massive consumer base, move towards any technology would have a notable impact on the global smart water management market. Information intensive technologies are already making in-roads into the region owing to adoption by countries such as Japan, India, and China. This helps them plug demand gaps in utilities sector. Thus, it is pertinent to mention here that the region will offer players operating in the global smart water management market with great opportunities.

Request For Covid19 Impact Analysis https://www.transparencymarketresearch.com/sample/sample.php?flag=covid19&rep_id=1196

This study by TMR is all-encompassing framework of the dynamics of the market. It mainly comprises critical assessment of consumers' or customers' journeys, current and emerging avenues, and strategic framework to enable CXOs take effective decisions.

Our key underpinning is the 4-Quadrant Framework EIRS that offers detailed visualization of four elements:

Customer Experience Maps

Insights and Tools based on data-driven research

Actionable Results to meet all the business priorities

Strategic Frameworks to boost the growth journey

The study strives to evaluate the current and future growth prospects, untapped avenues, factors shaping their revenue potential, and demand and consumption patterns in the global market by breaking it into region-wise assessment.

The following regional segments are covered comprehensively:

North America

Asia Pacific

Europe

Latin America

The Middle East and Africa

The EIRS quadrant framework in the report sums up our wide spectrum of data-driven research and advisory for CXOs to help them make better decisions for their businesses and stay as leaders.

Below is a snapshot of these quadrants.

1. Customer Experience Map

The study offers an in-depth assessment of various customers’ journeys pertinent to the market and its segments. It offers various customer impressions about the products and service use. The analysis takes a closer look at their pain points and fears across various customer touchpoints. The consultation and business intelligence solutions will help interested stakeholders, including CXOs, define customer experience maps tailored to their needs. This will help them aim at boosting customer engagement with their brands.

2. Insights and Tools

The various insights in the study are based on elaborate cycles of primary and secondary research the analysts engage with during the course of research. The analysts and expert advisors at TMR adopt industry-wide, quantitative customer insights tools and market projection methodologies to arrive at results, which makes them reliable. The study not just offers estimations and projections, but also an uncluttered evaluation of these figures on the market dynamics. These insights merge data-driven research framework with qualitative consultations for business owners, CXOs, policy makers, and investors. The insights will also help their customers overcome their fears.

3. Actionable Results

The findings presented in this study by TMR are an indispensable guide for meeting all business priorities, including mission-critical ones. The results when implemented have shown tangible benefits to business stakeholders and industry entities to boost their performance. The results are tailored to fit the individual strategic framework. The study also illustrates some of the recent case studies on solving various problems by companies they faced in their consolidation journey.

4. Strategic Frameworks

The study equips businesses and anyone interested in the market to frame broad strategic frameworks. This has become more important than ever, given the current uncertainty due to COVID-19. The study deliberates on consultations to overcome various such past disruptions and foresees new ones to boost the preparedness. The frameworks help businesses plan their strategic alignments for recovery from such disruptive trends. Further, analysts at TMR helps you break down the complex scenario and bring resiliency in uncertain times.

You May Also Like PRNewswire on https://www.prnewswire.co.uk/news-releases/increasing-requirement-of-updating-traditional-systems-to-drive-uptake-of-global-transportation-management-systems-market-valuation-to-rise-up-to-us-59-748-5-mn-by-2030-end-notes-tmr-856142726.html

The report sheds light on various aspects and answers pertinent questions on the market. Some of the important ones are:

1. What can be the best investment choices for venturing into new product and service lines?

2. What value propositions should businesses aim at while making new research and development funding?

3. Which regulations will be most helpful for stakeholders to boost their supply chain network?

4. Which regions might see the demand maturing in certain segments in near future?

5. What are the some of the best cost optimization strategies with vendors that some well-entrenched players have gained success with?

6. Which are the key perspectives that the C-suite are leveraging to move businesses to new growth trajectory?

7. Which government regulations might challenge the status of key regional markets?

8. How will the emerging political and economic scenario affect opportunities in key growth areas?

9. What are some of the value-grab opportunities in various segments?

10. What will be the barrier to entry for new players in the market?