#cloud infrastructure automation

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Discover VastEdge’s Cloud Automation services, helping businesses streamline and optimize cloud infrastructure with cutting-edge automation tools. Achieve higher efficiency, reduce costs, and enhance scalability across cloud platforms. Partner with VastEdge for seamless cloud automation solutions.

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Secure and Scalable Cloud Infrastructure Management Strategies

Cloud infrastructure management must be taken seriously by contemporary IT operations. It includes the management, inspection, and optimization of resources in cloud-based contexts including data centers and virtualized infrastructure. By managing cloud infrastructure well, businesses may increase their productivity, scalability, and cost-effectiveness.

One advantage of cloud infrastructure management is that: Cloud infrastructure management offers a number of significant benefits for businesses, including: Flexibility: Due to the fast provisioning and de-provisioning of resources offered by cloud infrastructure, businesses can scale their operations in response to demand. Scalability: With cloud infrastructure management, organizations can easily scale their resources up or down to ensure maximum performance and cost-effectiveness. Cost-cutting: Effective cloud infrastructure management enables businesses to utilize resources more effectively, reducing costs where possible and maximizing return on investment. Reliability: Cloud infrastructure management capabilities that offer high availability and data security include built-in redundancy and disaster recovery. Flexibility: Due to the dynamic nature of cloud infrastructure, organizations may quickly adapt to changing consumer needs and market conditions.

The best practices for managing cloud infrastructure: When managing cloud infrastructure, the following best practices should be considered: Regular Monitoring: Keep an eye on the operation and condition of your cloud infrastructure to identify potential issues and optimize resource allocation. Resource Optimisation: Use strategies like resource tagging, load balancing, and auto-scaling to optimize resource allocation to ensure efficient use and cost savings. Automation: To hasten the deployment, configuration, and management of cloud resources, use infrastructure-as-code (IaC) strategies and automation tools. Disaster Recovery: To secure crucial data and guarantee company continuity in the event of failures, implement reliable backup and disaster recovery procedures. Compliance and Security: Adhere to security best practices recommended by the industry, such as access control, data encryption, and frequent vulnerability assessments. Up-to-date documentation of your cloud infrastructure's configurations, dependencies, and operating processes should be kept.

Cost Optimization for Cloud Infrastructure: Careful planning and execution are required for cost optimization for cloud infrastructure. Do the following: Analyze the use of resources: Locate resources that are not being used, and then alter their provisioning to take into account the demand that has been experienced. To automatically adjust resource capacity in accordance with workload trends, use auto-scaling features. Utilize Reserved Instances: Take use of the reserved instances or savings programs offered by cloud service providers to save costs for long-term resource utilization. Optimize Storage: Identify your storage requirements and choose the appropriate storage tiers to reduce costs. Utilize Serverless Computing: Consider serverless computing options to pay for computing resources only when they are actually utilized.

Cloud Infrastructure Management Security: Security must be ensured in cloud infrastructure management in order to protect sensitive data and maintain compliance. Do the following: Implement Access Controls: Establish granular access controls and implement trustworthy authentication methods to prevent unauthorized access. Data encryption: To encrypt data both at rest and while it is being transported, use the encryption methods and protocols recommended by your cloud service provider. Regular Vulnerability Assessments: To identify and address security weaknesses, do routine penetration testing and vulnerability scanning. Creating an incident response: The plan will help you respond to security incidents or breaches effectively and reduce their impact. Security audits and compliance: Constantly verify that your cloud infrastructure conforms with any security standards and laws that may be relevant.

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[jcmarchi]

Vasu Murthy, SVP and Chief Product Officer at Cohesity – Interview Series

New Post has been published on https://thedigitalinsider.com/vasu-murthy-svp-and-chief-product-officer-at-cohesity-interview-series/

Vasu Murthy, SVP and Chief Product Officer at Cohesity – Interview Series

Vasu Murthy is the SVP and Chief Product Officer at Cohesity, bringing over 25 years of enterprise software experience across data security, protection, and analytics. Prior to joining Cohesity, he held leadership roles at Rubrik, Oracle, and DataScaler, contributing to product growth and large-scale innovation.

Cohesity is the leader in AI-powered data security. Over 13,600 enterprise customers, including over 85 of the Fortune 100 and nearly 70% of the Global 500, rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with Veritas’ enterprise data protection business, the company’s solutions secure and protect data on-premises, in the cloud, and at the edge

You co-founded DataScaler, which was later acquired by Oracle. What lessons from your startup journey still guide your decision-making today?

Finding product market fit was our primary goal in the early stages at DataScaler. While we had many enthusiastic prospects for the product, enthusiasm did not always translate into a repeatable use case. The power is in asking the right questions. If all you ask is “What would you like?” or “Would you use this?”, people are often in the mindset of their ideal self, thinking about what they’d like to use or need in a perfect world, and it doesn’t always reflect what they need in their day-to-day reality.

If something is truly important to a customer, chances are they’re already doing it, likely not efficiently or enjoyably. They might be using a clunky product they don’t like, spending more money, or handling things manually and wishing they could get time back. The better questions to ask are: “What are you doing today that’s hard?” or “What would save you time or money?” When you start with the right questions, you uncover problems that are worth solving.

What drove your decision to move from a giant like Oracle into the fast-paced world of Rubrik and later Cohesity?

I think of my career as a series of missions. Reid Hoffman calls it “Transformational Tours” in his book, The Alliance. A typical mission for me lasts 2-3 years and ends with a specific outcome for the business, and then it’s time to work on something new. While I was at Oracle, I was given a project that became a three-year mission. Once completed, I asked, “What’s next?” and they said, “Something even bigger!”, so I assembled a team and began the next mission. That cycle repeated itself, and each time, the challenge grew.

At the end of my third mission at Oracle, I was craving something at the pace and perspective of a high-growth startup, which led me to Rubrik. After Rubrik’s IPO, I took some time off to think about what was next, and set out to join a team with an exciting challenge, which is how I came into my role at Cohesity.

What unique opportunities did you see at Cohesity that convinced you this was the right next chapter in your career?

Cohesity’s recent acquisition of Veritas’ enterprise data protection business is exactly the kind of project that I was looking for. The opportunity to play a key role in integrating the companies while charting a smooth transition for the large customer base is both challenging and rewarding. I’m privileged to contribute to shaping the culture, influence product development, and making this transformation successful for our employees and customers.

You joined Cohesity just before the Veritas acquisition. What was your first focus as CPO coming into this high-stakes moment?

For a CPO, understanding the mindset of customers and employees is just as important as understanding the product and the market. Our customers are global, and our people have been through different experiences. Getting a message across that resonates with all of them is crucial.

Beyond communication, my top priority is to increase the pace of innovation we deliver to our customers, and earn the right to continue to expand our footprint. There’s an opportunity to guide our customers to the future of data security and AI.

Cohesity has a strong AI-first vision. How are you thinking about AI as a product layer versus an embedded capability?

Cohesity leverages AI in all aspects — from detecting anomalies and classifying data to helping customers accelerate and strengthen cyber recovery. With hundreds of exabytes of data under our management, there’s a big opportunity to unlock AI-driven insights from all across the platform.

Cohesity was built from the ground up as a platform, which makes us unique in this market. Designed to support multiple applications from the start, Cohesity has a strong position in many use cases on data. Customers pay us to bring their data into our platform, which gives us a powerful opportunity to build and deliver applications on top of it.

How do tools like Cohesity Gaia redefine how enterprises interact with their data?

80% of enterprise data is unstructured and traditionally difficult to manage or analyze, and generative AI has provided opportunities to extract insights and value from it.

To leverage unstructured data, it needs to be gathered from a variety of sources, cleaned to ensure it does not have unwanted private, sensitive data, and provided in immutable views for RAG and other ways to derive insights. Even when data is available, it takes significant effort to build the AI infrastructure to deliver insights.

Cohesity Data Platform already gathers and secures data from all locations, and we also built Gaia, a full-fledged RAG application to derive insights from data. This allows users to interact with their data using natural language, generate valuable insights, and seamlessly unify company knowledge across various data types and locations.

What are the most exciting customer use cases you’ve seen so far for AI-powered conversational search and threat detection?

There’s so much data worldwide that many customers don’t even know what they have. Being able to unlock that and leverage for more information is very powerful for business. One aspect I find particularly interesting is the concept of data sovereignty. In today’s geopolitical climate, countries are increasingly concerned about whether data stored within their borders gives their citizens control. A key question that’s been coming up, especially with AI, is whether these AI services are hosted in the cloud. People are worried about whether they can query their data and who can access it.

Cohesity stands out to me in situations like this because it offers a solution through enabling on-premises data management. With Cohesity, customers don’t need to move their data to the cloud or worry about entities managing it in other countries. The growing concern around data sovereignty and “data gravity” means that more organizations want to keep things on-premises, and we can provide exactly that solution, working with our hardware partners and NVIDIA.

How do you ensure alignment across product, design, and documentation—especially when launching AI-first experiences?

Success of a company depends on all functions operating in harmony – not just product, design and documentation. Ideas can come from anywhere and when people feel heard, they feel a sense of ownership that drives the best outcome.

It is important to include all stakeholders early on, listen to them, and ensure they all have a say in the outcome. Product teams need to be good idea curators and help prioritize, designers need to keep customer experience at the forefront, and documentation teams need to focus on minimizing the time spent in documents by working with designers, providing in-line guidance as necessary. AI has a huge role to play in developing and delivering this experience.

What frameworks help you prioritize between customer pain points, visionary innovation, and technical debt?

It pays to start from first principles when determining priorities and shaping our approach. Frameworks can be helpful for communicating this, especially when they’re well-aligned. That said, I believe most products can generally be categorized into three types.

First, there are new products with few customers, where innovation should be the main focus. Then, you have the core products that are the bread and butter. Innovation is important here, but addressing customer pain points should also be a priority. Lastly, you have long-term, mature products that are well-established. In this case, the focus shifts more to managing customer pain points and technical debt.

What are your goals for Cohesity’s product portfolio over the next 12 to 18 months?

We’ve found so much that fits between Cohesity and Vertias’ enterprise data protection business since the acquisition. It’s the fastest I’ve ever seen two product suites come together. In Veritas’ most recent iteration, they converted their backup solution into a set of microservices within containers. Conversely, Cohesity started as a container-based application platform built on a flexible data layer. Because of this, it’s possible to drop Veritas services onto the Cohesity platform, and things work seamlessly because the data platform works with both.

Over the next 12 to 18 months, we want our workload support, data security and AI services to be common for all our customers. We’re also building a seamless upgrade path for all customers to get to a future proof platform for their data.

A product that I’m particularly excited about is RecoveryAgent, Cohesity’s new Agentic AI cyber orchestration solution. The first new offering from the joint development efforts of Cohesity and Veritas, it provides customers with easy cyber recovery preparation, testing, and automation to strengthen security postures, increase confidence in incident response, and prove compliance.

What advice would you give to other CPOs navigating this AI-dominated landscape?

People are feeling the immediate need to incorporate AI into applications. Often this is in the form of making workflows easier and assisting people in being more productive. While this is useful for customers, it is unlikely that customers pay significantly more for this incremental productivity improvement.

True AI differentiation requires re-thinking the workflows completely driven by AI. The technology is evolving rapidly and will become more valuable as the AI accuracy improves. AI can be great for natural language interactions and some planning, the core logic still requires a lot of validation, monitoring, error-correction, and scaffolding. While AI driven apps will improve over time, there is money to be made in AI and data infrastructure.

Thank you for the great interview, readers who wish to learn more should visit Cohesity. 

[futuretiative]

China has launched the world’s first commercial 10G broadband network in Xiong’an, Hebei Province, achieving download speeds up to 9,834 Mbps and upload speeds around 1,008 Mbps, with latency as low as 3 milliseconds. This initiative, a collaboration between Huawei and China Unicom, utilizes 50G Passive Optical Network (PON) technology, enhancing data transmission over existing fiber-optic infrastructure . 

The deployment of this ultra-fast network in Xiong’an—a city envisioned as a high-tech innovation hub—supports advanced applications such as 8K video streaming, cloud gaming, virtual and augmented reality experiences, and smart city technologies . This development positions China at the forefront of broadband technology, surpassing current top speeds in other leading nations .  

Source: tribune

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keywords: China 10G Broadband Commercial Network Xiong'an Hebei Province Huawei China Unicom 50G PON Passive Optical Network Download Speed Upload Speed Latency Fiber-optic Infrastructure 8K Video Streaming Cloud Gaming Virtual Reality (VR) Augmented Reality (AR) Smart City Broadband Technology Innovation Hub

[techjour]

Are you looking for Cloud Partner who can assist you with Cloud migration, infrastructure Monitoring, Cloud Cost Optimisation and architecture design?

At techjour, an advanced Cloud Partner, we provide these benefits at no additional csot - ensuring you maximise the value of your Cloud investment.

Lets discuss, how you can leverage these advantage by partnering with us.

[tudipblog]

Beyond the Buzz: How IoT Redefines Business Operations

Moving from Hype to Reality

IoT has moved from being a futuristic idea to a practical solution that businesses use daily to improve operations and achieve sustainable growth. Though much of the discussion around IoT is about its potential, the real value that it presents is in how companies can use the technology to solve real-world problems.

Today, IoT is no longer a buzzword; it’s a necessity for any business looking to remain competitive and agile in a dynamic global environment. With its power to integrate devices, data, and processes, IoT helps businesses achieve efficiencies, improve customer satisfaction, and create new revenue streams. In this blog post, we explore how IoT is changing business operations across industries and what companies need to do to maximize its potential.

How Tudip Technologies Redefines IoT Solutions

Tudip Technologies empowers businesses with IoT solutions that tackle complex operational challenges and drive measurable outcomes.

Our Specialized Approach:

Edge Computing Integration: Enabling faster data processing closer to devices for real-time responsiveness.

IoT Ecosystem Design: Creating scalable ecosystems that adapt to changing business needs.

Sustainability-Focused Solutions: Tailoring IoT frameworks that align with environmental goals.

Example: Tudip partnered with a logistics provider to implement IoT-powered edge analytics, reducing data processing times by 60% and improving delivery accuracy across global operations.

Key Takeaways: Turning IoT Into Operational Strength

Invest in Scalable Solutions: Ensure your IoT systems can grow alongside your business needs.

Prioritize Security: Robust cybersecurity measures arToday, IoT is no longer a buzzword; it’s a necessity for any business looking to remain competitive and agile in a dynamic global environment. With its power to integrate devices, data, and processes, IoT helps businesses achieve efficiencies, improve customer satisfaction, and create new revenue streams. In this blog post, we explore how IoT is changing business operations across industries and what companies need to do to maximize its potential.

Redefining Operational Efficiency with IoT

1. Predictive Analytics: Smarter Urban Operations with IoT

IoT is revolutionizing energy management by integrating renewable energy sources into business operations. Smart systems analyze usage patterns and adjust power drawn from solar, wind, or traditional grids in real time.

Optimized Renewable Usage: IoT ensures renewable energy is used efficiently by monitoring supply-demand gaps.

Grid Stability:  Balances energy loads to prevent outages during peak hours.

Sustainability Goals: Helps businesses achieve net-zero emissions by prioritizing clean energy consumption.

Example: A technology campus integrated IoT in optimizing its solar energy consumption and reduced dependence on traditional grids by 40%, with a significant reduction in operational costs

2. Energy Management: Advancing Renewable Solutions

Predictive analytics powered by IoT is transforming urban infrastructure. Cities can now monitor critical assets like bridges, roads, and utilities in real time, ensuring timely maintenance and preventing costly failures.

Public Safety: Early detection of infrastructure stress minimizes risks to citizens.

Cost Efficiency: Avoiding large-scale repairs reduces budget overruns for municipalities.

Sustainability: Proactive maintenance extends the lifespan of assets, reducing waste.

3. Automation Excellence: Better Disaster Response Logistics

IoT-driven automation is transforming how disaster response occurs—getting aid to where it is needed, faster and more efficiently.

Real-Time Inventory Management: Monitors relief inventory and ensures its proper distribution to areas of greatest need.

Smart Transportation: Optimizes routes for rescue and supply vehicles during crises.

Collaboration Across Agencies: IoT systems enable seamless communication between response teams.

Example:In a recent hurricane, one global aid organization leveraged IoT-connected drones to survey damage and automate the delivery of supplies, resulting in a 50% faster response time.

Overcoming Common IoT Challenges

1. Integration of IoT with Existing Systems

One of the biggest hurdles businesses face is integrating IoT solutions with legacy systems. Compatibility issues can hinder seamless data exchange and functionality. Solution: Use a flexible IoT platform with built-in interoperability; make sure it provides APIs for smooth integration. Careful planning and phased implementation may also reduce disruptions to a minimum.

2. Data Security and Privacy

IoT ecosystems are all about continuous data gathering and transmission, which increases exposure to cyber threats. The security of sensitive information is the foundation of trust with stakeholders.

Solution: Implement robust encryption protocols, regularly update security measures, and educate employees on cybersecurity best practices.

3. Adapting to Rapid Technological Changes

The rapid rate of innovation in IoT can make it challenging for businesses to adapt to new developments and keep their systems current. Solution: Collaborate with technology providers that offer scalable solutions and ongoing support to adapt to emerging trends without overhauling existing systems.

How IoT Drives Operational Transformation

1. Enhancing Decision-Making with Real-Time Insights

IoT provides companies with real-time data that enables informed decision-making. Whether it is revising supply chain strategies or optimizing production schedules, IoT ensures that companies can act quickly and confidently.

Dynamic Adaptability: Businesses can change their strategies according to up-to-date information and stay responsive to market demand.

Improved Collaboration: IoT systems enable better communication across departments, enabling coordinated efforts.

2. Creating Value Through Customization

IoT’s ability to collect granular data allows businesses to tailor their offerings and services to meet specific customer needs. Personalization not only enhances user experience but also builds stronger customer relationships.

e non-negotiable in today’s interconnected world.

Focus on Outcomes: Use IoT to achieve specific goals, whether it’s reducing costs, enhancing customer satisfaction, or achieving sustainability targets.

Conclusion: Moving Beyond the Buzz

IoT has evolved into an indispensable solution, reshaping how businesses optimize operations and achieve sustainable growth. By addressing real-world challenges and delivering actionable insights, IoT enables companies to stay competitive and adaptive.

To fully realize the benefits of IoT, businesses must focus on integrating flexible solutions, safeguarding data, and aligning technology with strategic objectives. With the right approach, IoT becomes more than a technological innovation—it becomes a cornerstone of operational excellence and sustainable growth.

Click the link below to learn more about the blog Beyond the Buzz: How IoT Redefines Business Operations

https://tudip.com/blog-post/beyond-the-buzz-how-iot-redefines-business-operations/

[olivergisttv]

Cloud DevOps Automation: Best Free Tools Today

Introduction to Cloud DevOps Automation In the world of software development, Cloud DevOps is a game-changer. The approach integrates development and operations to deliver applications faster, more efficiently, and with fewer errors. The secret to making this transition smoother and faster is automation. And with cloud infrastructure becoming the norm, DevOps automation has never been more…

[blackmoreops]

Netflix's Chaos Monkey: Embracing Failure for Resilience

Chaos Monkey is an innovative tool developed by Netflix as part of their Simian Army suite of testing tools. It deliberately introduces failures into your cloud infrastructure to test system resilience and recovery capabilities. Chaos Monkey works by randomly terminating instances in your production environment. This might sound counterintuitive, but by forcing failures to occur, it helps…

[cloudmigrationservice]

Cloud Migration Service: A Seamless Transition to the Cloud

In today's digital landscape, businesses are increasingly adopting cloud solutions to enhance scalability, flexibility, and cost efficiency. A Cloud Migration Service plays a crucial role in ensuring a smooth transition from on-premises infrastructure to cloud environments, minimizing risks and maximizing operational benefits.

What is a Cloud Migration Service?

A Cloud Migration Service involves the process of transferring data, applications, and IT resources from traditional systems to a cloud-based infrastructure. These services provide businesses with the necessary tools, strategies, and expertise to migrate efficiently while maintaining security and compliance.

Benefits of Cloud Migration Services

1. Enhanced Scalability

With cloud solutions, businesses can scale resources up or down based on demand, reducing unnecessary costs and ensuring optimal performance.

2. Cost Efficiency

Cloud migration eliminates the need for expensive on-premises hardware and maintenance, enabling businesses to pay only for what they use.

3. Improved Security

Leading cloud providers implement robust security measures, including encryption, access controls, and compliance frameworks, to protect sensitive business data.

4. Disaster Recovery and Business Continuity

Cloud migration ensures data redundancy and quick recovery solutions, minimizing downtime and enhancing business resilience.

Steps Involved in a Cloud Migration Service

1. Assessment and Planning

A thorough evaluation of existing IT infrastructure helps identify workloads best suited for migration and develop a strategic roadmap.

2. Selecting the Right Cloud Model

Organizations can choose from Public, Private, Hybrid, or Multi-Cloud environments based on their business needs.

3. Executing the Migration

A phased migration approach minimizes disruptions, ensuring a smooth transition of applications and data.

4. Testing and Optimization

Post-migration testing is crucial to ensure performance, security, and compliance are maintained in the new cloud environment.

Overcoming Common Cloud Migration Challenges

Data Security Risks: Implementing encryption and access controls.

Application Downtime: Adopting a phased or hybrid migration strategy.

Cost Management: Utilizing cloud cost optimization tools.

Compatibility Issues: Assessing and refactoring applications for cloud readiness.

Choosing the Right Cloud Migration Service Provider

When selecting a Cloud Migration Service provider, businesses should consider:

Expertise in cloud platforms like AWS, Azure, or Google Cloud.

Security and compliance certifications.

Scalability options and 24/7 support.

Conclusion

Migrating to the cloud can be a game-changer for businesses looking to innovate and grow. A professional Cloud Migration Service ensures a hassle-free transition, enhanced security, and cost-efficient operations. With the right strategy and expert guidance, organizations can unlock the full potential of cloud computing for a competitive edge in the digital era.

[jcmarchi]

Saudi Arabia moves to build its AI future with HUMAIN and NVIDIA

New Post has been published on https://thedigitalinsider.com/saudi-arabia-moves-to-build-its-ai-future-with-humain-and-nvidia/

Saudi Arabia moves to build its AI future with HUMAIN and NVIDIA

Saudi Arabia’s new state subsidiary, HUMAIN, is collaborating with NVIDIA to build AI infrastructure, nurture talent, and launch large-scale digital systems.

The effort includes plans to set up AI “factories” powered by up to 500 megawatts of energy. The sites will be filled with NVIDIA GPUs, including the Grace Blackwell GB300 supercomputers connected via NVIDIA’s InfiniBand network. The goal is to create a base for training models, running simulations, and managing complex AI deployments.

A major part of the push is about control. Saudi Arabia wants to build sovereign AI – models trained using local data, language, and systems. By building its own infrastructure, it avoids relying on foreign cloud providers. The shift aligns with a broader trend, as governments around the world start to question how AI tools are built, where data goes, and who controls it.

HUMAIN is meant to give Saudi Arabia more say in that process. While other countries have launched national AI strategies, HUMAIN stands out for its structure. It’s not just a policy office or research fund; instead, it operates across the full AI value chain – building data centres, managing data, training models, and deploying applications. Few countries have a single body doing likewise with such a broad remit.

Singapore’s NAIS 2.0, for example, focuses on public sector use cases and talent development, and the UAE’s approach, which emphasises frameworks and governance. China has set up AI labs in several cities, but they tend to work in silos. HUMAIN brings elements together with a central goal: make Saudi Arabia a producer, not just a user, of AI.

The ambition is clear, but it comes with trade-offs. Running GPU-heavy data centres on this scale will use a lot of power. The 500-megawatt figure is far beyond typical enterprise deployments. Globally, the environmental cost of AI has become a growing concern. Microsoft and Google have both reported rising emissions from AI-related infrastructure. Saudi Arabia will need to explain how its AI factories will be powered – especially if it wants to align with its own sustainability targets under Vision 2030.

The partnership with NVIDIA isn’t just about machines, it also includes training for people. HUMAIN and NVIDIA say they will run large-scale education programmes to help thousands of Saudi developers gain skills in AI, robotics, simulation, and digital twins. Building local talent is a core part of the effort, and without it, infrastructure likely won’t get used to its full potential.

“AI, like electricity and internet, is essential infrastructure for every nation,” said Jensen Huang, founder and CEO of NVIDIA. “Together with HUMAIN, we are building AI infrastructure for the people and companies of Saudi Arabia to realise the bold vision of the Kingdom.”

One of the tools HUMAIN plans to deploy is NVIDIA Omniverse, to be used as a multi-tenant platform for industries like logistics, manufacturing, and energy. These sectors could create digital twins – virtual versions of real systems – to test, monitor, and improve operations. The idea is simple: simulate before you build, or run stress tests in digital form to save time and money later.

This type of simulation and optimisation supports Saudi Arabia’s broader push into automation and smart industry. It fits in a wider narrative of transitioning from oil to advanced tech as a core pillar of the economy.

The deal fits into NVIDIA’s global strategy, and the company has similar partnerships in India, the UAE, and Europe. Saudi Arabia offers strong government support, deep funding, and the promise to become a new AI hub in the Middle East. In return, NVIDIA provides the technical backbone – GPUs, software platforms, and the know-how to run them.

The partnership helps both sides. Saudi Arabia gets the tools to build AI from the ground up and build a new economic version of itself, while NVIDIA gains a long-term customer and a foothold in a growing market.

There are still gaps to watch. How will HUMAIN govern the use of its models? Will they be open for researchers and startups, or tightly controlled by the state? What role will local universities or private companies play? And can workforce development keep pace with the rapid buildout of infrastructure?

HUMAIN isn’t just building for now. The structure suggests a long-term bet – one that links compute power, national priorities, and a shift in how AI is developed and deployed. Saudi Arabia wants more than access. It wants influence. And HUMAIN, in partnership with NVIDIA, is the engine it’s building to get there.

(Photo by Mariia Shalabaieva)

See also: Huawei’s AI hardware breakthrough challenges Nvidia’s dominance

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

[bookishscrolls]

Technical Aspects and Infrastructure for Running a Community Radio Station

Behind every captivating broadcast from a Community Radio Station (CRS) lies a complex and well-maintained technical setup. It’s not just about having the right equipment; it’s about creating a cohesive infrastructure that keeps your station running smoothly and your community engaged. Whether you’re just starting out or looking to upgrade your setup, this guide will walk you through the…

[productiveandfree]

How Technology is Transforming Business Communication and Management

In this world of business, technology has become the single most pivotal force in shaping organizations to communicate, manage operations, and interact with their clients.

The rapid advancements in communication tools, automation in processes, and management systems have let businesses achieve more efficiency, competitiveness, and agility toward market dynamics. This transformation has not only aligned the internal processes but has also revolutionized customer engagement, team collaboration, and decision-making.

The article now goes through how technology is changing business communication and management, highlighting key trends and tools that drive such change.

Cloud-Based Communication Platforms

Among the many innovations in business communication, cloud technology is likely the most impactful. Traditional phone systems and on-premise email servers are giving way to flexible, scalable, and more economical cloud platforms.

Unified Communication as a Service (UCaaS)

The latest of these is Unified Communication as a Service (UCaaS). With UCaaS, voice, video, messaging, and conferencing are all integrated into one solution accessible from any device capable of accessing the internet. In other words, work teams can communicate in real-time is the technology that has made working from home and hybrid workplaces possible, as companies remain productive and their workers communicate effectively over-dispersed geographies.

Reduced Infrastructure Cost

With the use of cloud-supported communication tools, a company isn't required to invest in hardware and other maintenance costs of conventional systems.

Instead of investing in a PBX system or an on-premise data center, companies can invest in subscription models that scale as required. This has made access to enterprise-level communication tools easier for small and medium businesses without heavy upfront investments.

Improved Security and Data Privacy

Cloud communication platforms are also integrated with strong security functions, including encryption, multi-factor authentication, and adherence to data privacy laws. This means that sensitive business communication will be safe from unauthorized access and prevent the leakage of critical business information.

Mobile Technology for Remote Management

Mobile technology has made it possible for business leaders and employees to stay connected and manage tasks from anywhere, at any time. A prime example of this transformation is the role of mobile connectivity in facilitating seamless communication during business trips. With tools like mobile project management apps and communication platforms, remote work has become more seamless.

For esim international travel, professionals can easily switch between networks without the hassle of changing SIM cards, ensuring they remain connected wherever they go. This ensures that even when traveling internationally, business leaders can access important documents, attend virtual meetings, and stay in touch with their teams without interruptions.

AI in Communication

The use of AI is redefining business-customer interaction and internal communication in organizations.

●     AI-Powered Customer Support: AI-powered chatbots and virtual assistants have indeed completely transformed customer support. Such applications can process hundreds of queries simultaneously in real-time and promptly respond with accuracy to the customers 24/7.

●     Natural Language Processing (NLP): This is a branch of AI-engaging computers to perceive and interpret human language. Companies are leveraging NLP in email, chat, and customer feedback analyses to understand major trends and problems in communication.

●     AI in Internal Communication: Coupled with communication with customers, AI also enhances the internal processes of communication. AI-driven tools could automate routine tasks of meeting scheduling, reminders, and keeping the workflow organized.

Team Management Collaboration Tools

Collaboration tools have now played a very important part in team management, with many employees embracing the concept of working from home and hybrid work models.

Project Management Software

Project management tools allow your team to organize work, follow through on progress, and collaborate in real-time. On the platform, members can delegate tasks, set deadlines, and communicate effectively so there is no miscommunication or a lost deadline.

They even give insights into the timeline of projects to ensure people are on the same page about what is happening with the status of a project.

Real-Time Collaboration on Documents

This has been further improved through other platforms, whereby many users can edit one document simultaneously. A team can edit a document spreadsheet or presentation, comment, and even suggestions that can be reviewed. This certainly has taken collaboration to a new level, more so when the team members are scattered in different locations.

Virtual Meeting Tools

Built-in integrations like screen sharing, virtual whiteboards, and breakout rooms make remote meetings truly far more interactive. The hybrid way of working has made these platforms do magic, connecting all the employees, those in-office and working remotely, to one platform where every single one of them has equal opportunity to participate and contribute.

Automation in Business Management

Automation is another crucial technology transforming how business activities are managed in any business to reduce workloads and further enhance operational efficiency.

●     Workflow Automation: This helps businesses automate repetitive activities. It could also mean that customer data is routed automatically to a CRM system, instead of having to be keyed in when a new lead is created or a customer makes a purchase, reducing chances of human error and thus assuring speedier processing.

●     Automated Reporting and Analytics: Automation tools will immediately report, at a frequency defined by the business rules, to make sure that managers and leaders have access to current information for making informed decisions.

●     Human Resources and Payroll Automation: Automation has also brought a sea change in HR and payroll practices. This ensures further compliance with labor laws and frees up administrative burdens on HR teams to focus on employee engagement and development.

Improved Customer Relationship Management

The application of CRM in business is central to the handling of interactions with clients and prospects. Advanced modern CRM systems, leveraging AI and automation, may unlock deeper insights for businesses into customer behavior and preferences for personalized communication and marketing strategies.

AI-Driven CRMs

CRM systems apply AI toward identifying patterns in how customers interact and then predict their future behaviors. This can include automation of things like lead scoring on the likelihood to convert, suggesting next steps for sales teams, and personalized marketing content to better engage prospects.

AI-driven CRMs offer improvements in business-customer relations because they ensure that the communication is timely, relevant, and personal.

Omnichannel Communication

The modern CRM system unifies multi-channel communications like email, social media, phone, and chat - all within one system. This ability to engage the customer across the touchpoints allows for a consistent and seamless experience in engaging them.

When the customer calls the business, writes an email, or reaches out via social media, the CRM system monitors all of these interactions to enable insight into the big picture of the customer's journey.

Data Analytics and Business Intelligence (BI)

It has indeed brought about an absolute revolution in the way businesses make decisions-from insights into performance, customer behavior, and market trends.

Real-Time Data Insights

This allows the organization to realize the data in real-time to make informed strategic decisions. These tools aggregate data from various sources into comprehensible dashboards. Based on the observation of KPIs, business executives make fact-based decisions instead of gut-based decisions.

Predictive Analytics

Artificial Intelligence and machine learning-driven predictive analytics can help businesses to accurately predict future trends and outcomes.

For example, companies can estimate the rate of churn in customers, optimize inventory levels, and even predict market demand using historical data. Using this technology, predictive analytics enables a business to pre-emptively make decisions that will enhance efficiency and profitability.

Conclusion

Technology is transforming business communication and management on an unprecedented scale. Business managers leverage these innovations on everything from cloud-based communication platforms and AI-powered customer support to automation tools and data analytics.

As technology continues to evolve, only companies that adopt new tools will remain flexible in changing market conditions, enhance customer experience, and ensure long-term success. This is what will allow businesses to continue to be competitive and thrive in the high-speed world of business today.

FAQs

1.At which points does the utilization of cloud-based communication tools improve the way business is conducted?

Cloud-based tools make communication easier, the cost of the infrastructure is reduced, and it allows for working remotely.

2.What part does AI play in improving customer service?

AI empowers businesses by providing constant support through chatbots and virtual assistants, enhancing response time and customer satisfaction.

3.Why is automation important for business management?

Automation reduces human effort to the lowest level, reduces errors, and speeds up operations in many business processes.

Daniel Martin

Dan has had hands-on experience in digital marketing since 2007. He has been building teams and coaching others to foster innovation and solve real-time problems. In his previous work experiences, he has developed expertise in digital marketing, e-commerce, and social media. When he's not working, Dan enjoys photography and traveling.

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