#cloud data analytics

[shonatanwer98]

Top Data Analytics Company in Singapore for Actionable Insights | Applify

Looking for expert data analytics services in Singapore? Applify provides tailored solutions—from data architecture and AI analytics to real-time dashboards—to help your business convert raw data into competitive insights.

[ryanwilliamsonstuff]

Why Leverage Cloud Analytics for Your Business in 2024?

Know how to leverage cloud analytics to get data-driven business insights rapidly and cost-effectively. Read to learn about the benefits cloud analytics offers to businesses, along with top tools.

[bluentbusiness]

Cloud Data Analytics: A Journey to Actionable Insights & Data-driven Success

Cloud data analytics solutions are the saviors of enterprises managing massive data sets.

The adoption of cloud-based setups is set to intensify as most company CTOs are no longer willing to use local on-premises systems for various reasons.

The role of cloud analytics was made known when companies began using BI (Business Intelligence) solutions for quick and easy decision-making.

With a range of unstructured data to collect, manage, analyze, and preserve, leveraging cloud-driven big data analytics & insights can be more profitable than other approaches.

Almost 80% of the global data stored in the enterprise system will be unstructured by 2025. In such a scenario, storing & identifying a huge amount of unstructured data to define global trends, consumer demands, & competitor strategy may turn out to be more challenging than it seems. 

Despite all the ifs and buts, switching to cloud-based analytics is a great idea for businesses wanting to make future-proof decisions and stay ahead of the competition.

The Banking, Financial Services, and Insurance (BFSI) sector holds the largest segment of the global cloud analytics market. It's worth discussing why.

What is Cloud Data Analytics? How Does It Work?

The process of arranging and analyzing data in the cloud rather than local on-premises storage is referred to as cloud data analytics.

Using cloud computing for big data analytics empowers organizations to access, aggregate, and analyze both structured & unstructured data in one place.

Cloud analytics help businesses handle a huge collection of data and identify errors in ongoing operations. This ensures a better analysis of data trends and the early discovery of potential risks for predictive maintenance.

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Abathur

At Abathur, we believe technology should empower, not complicate.

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Why Choose Us? Expert-Led Innovation – Our team is built on experience and expertise. Security First Approach – Cybersecurity is embedded in all our solutions. Scalable & Future-Proof – We design solutions that grow with you. Client-Centric Focus – Your success is our priority.

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[datapeakbyfactr]

AI’s Role in Business Process Automation

Automation has come a long way from simply replacing manual tasks with machines. With AI stepping into the scene, business process automation is no longer just about cutting costs or speeding up workflows—it’s about making smarter, more adaptive decisions that continuously evolve. AI isn't just doing what we tell it; it’s learning, predicting, and innovating in ways that redefine how businesses operate. 

From hyperautomation to AI-powered chatbots and intelligent document processing, the world of automation is rapidly expanding. But what does the future hold?

What is Business Process Automation? 

Business Process Automation (BPA) refers to the use of technology to streamline and automate repetitive, rule-based tasks within an organization. The goal is to improve efficiency, reduce errors, cut costs, and free up human workers for higher-value activities. BPA covers a wide range of functions, from automating simple data entry tasks to orchestrating complex workflows across multiple departments. 

Traditional BPA solutions rely on predefined rules and scripts to automate tasks such as invoicing, payroll processing, customer service inquiries, and supply chain management. However, as businesses deal with increasing amounts of data and more complex decision-making requirements, AI is playing an increasingly critical role in enhancing BPA capabilities. 

AI’s Role in Business Process Automation 

AI is revolutionizing business process automation by introducing cognitive capabilities that allow systems to learn, adapt, and make intelligent decisions. Unlike traditional automation, which follows a strict set of rules, AI-driven BPA leverages machine learning, natural language processing (NLP), and computer vision to understand patterns, process unstructured data, and provide predictive insights. 

Here are some of the key ways AI is enhancing BPA: 

Self-Learning Systems: AI-powered BPA can analyze past workflows and optimize them dynamically without human intervention. 

Advanced Data Processing: AI-driven tools can extract information from documents, emails, and customer interactions, enabling businesses to process data faster and more accurately. 

Predictive Analytics: AI helps businesses forecast trends, detect anomalies, and make proactive decisions based on real-time insights. 

Enhanced Customer Interactions: AI-powered chatbots and virtual assistants provide 24/7 support, improving customer service efficiency and satisfaction. 

Automation of Complex Workflows: AI enables the automation of multi-step, decision-heavy processes, such as fraud detection, regulatory compliance, and personalized marketing campaigns. 

As organizations seek more efficient ways to handle increasing data volumes and complex processes, AI-driven BPA is becoming a strategic priority. The ability of AI to analyze patterns, predict outcomes, and make intelligent decisions is transforming industries such as finance, healthcare, retail, and manufacturing. 

“At the leading edge of automation, AI transforms routine workflows into smart, adaptive systems that think ahead. It’s not about merely accelerating tasks—it’s about creating an evolving framework that continuously optimizes operations for future challenges.”

— Emma Reynolds, CTO of QuantumOps

Trends in AI-Driven Business Process Automation 

1. Hyperautomation 

Hyperautomation, a term coined by Gartner, refers to the combination of AI, robotic process automation (RPA), and other advanced technologies to automate as many business processes as possible. By leveraging AI-powered bots and predictive analytics, companies can automate end-to-end processes, reducing operational costs and improving decision-making. 

Hyperautomation enables organizations to move beyond simple task automation to more complex workflows, incorporating AI-driven insights to optimize efficiency continuously. This trend is expected to accelerate as businesses adopt AI-first strategies to stay competitive. 

2. AI-Powered Chatbots and Virtual Assistants 

Chatbots and virtual assistants are becoming increasingly sophisticated, enabling seamless interactions with customers and employees. AI-driven conversational interfaces are revolutionizing customer service, HR operations, and IT support by providing real-time assistance, answering queries, and resolving issues without human intervention. 

The integration of AI with natural language processing (NLP) and sentiment analysis allows chatbots to understand context, emotions, and intent, providing more personalized responses. Future advancements in AI will enhance their capabilities, making them more intuitive and capable of handling complex tasks. 

3. Process Mining and AI-Driven Insights 

Process mining leverages AI to analyze business workflows, identify bottlenecks, and suggest improvements. By collecting data from enterprise systems, AI can provide actionable insights into process inefficiencies, allowing companies to optimize operations dynamically. 

AI-powered process mining tools help businesses understand workflow deviations, uncover hidden inefficiencies, and implement data-driven solutions. This trend is expected to grow as organizations seek more visibility and control over their automated processes. 

4. AI and Predictive Analytics for Decision-Making 

AI-driven predictive analytics plays a crucial role in business process automation by forecasting trends, detecting anomalies, and making data-backed decisions. Companies are increasingly using AI to analyze customer behaviour, market trends, and operational risks, enabling them to make proactive decisions. 

For example, in supply chain management, AI can predict demand fluctuations, optimize inventory levels, and prevent disruptions. In finance, AI-powered fraud detection systems analyze transaction patterns in real-time to prevent fraudulent activities. The future of BPA will heavily rely on AI-driven predictive capabilities to drive smarter business decisions. 

5. AI-Enabled Document Processing and Intelligent OCR 

Document-heavy industries such as legal, healthcare, and banking are benefiting from AI-powered Optical Character Recognition (OCR) and document processing solutions. AI can extract, classify, and process unstructured data from invoices, contracts, and forms, reducing manual effort and improving accuracy. 

Intelligent document processing (IDP) combines AI, machine learning, and NLP to understand the context of documents, automate data entry, and integrate with existing enterprise systems. As AI models continue to improve, document processing automation will become more accurate and efficient. 

Going Beyond Automation

The future of AI-driven BPA will go beyond automation—it will redefine how businesses function at their core. Here are some key predictions for the next decade: 

Autonomous Decision-Making: AI systems will move beyond assisting human decisions to making autonomous decisions in areas such as finance, supply chain logistics, and healthcare management. 

AI-Driven Creativity: AI will not just automate processes but also assist in creative and strategic business decisions, helping companies design products, create marketing strategies, and personalize customer experiences. 

Human-AI Collaboration: AI will become an integral part of the workforce, working alongside employees as an intelligent assistant, boosting productivity and innovation. 

Decentralized AI Systems: AI will become more distributed, with businesses using edge AI and blockchain-based automation to improve security, efficiency, and transparency in operations. 

Industry-Specific AI Solutions: We will see more tailored AI automation solutions designed for specific industries, such as AI-driven legal research tools, medical diagnostics automation, and AI-powered financial advisory services. 

AI is no longer a futuristic concept—it’s here, and it’s already transforming the way businesses operate. What’s exciting is that we’re still just scratching the surface. As AI continues to evolve, businesses will find new ways to automate, innovate, and create efficiencies that we can’t yet fully imagine. 

But while AI is streamlining processes and making work more efficient, it’s also reshaping what it means to be human in the workplace. As automation takes over repetitive tasks, employees will have more opportunities to focus on creativity, strategy, and problem-solving. The future of AI in business process automation isn’t just about doing things faster—it’s about rethinking how we work all together.

Learn more about DataPeak:

[digital-specialist]

Acadecraft Partners with Wadhwani Foundation's Government Digital Transformation Initiative to Develop eLearning Courses

[jcmarchi]

French initiative for responsible AI leaders - AI News

New Post has been published on https://thedigitalinsider.com/french-initiative-for-responsible-ai-leaders-ai-news/

French initiative for responsible AI leaders - AI News

ESSEC Business School and Accenture have announced the launch of a new initiative, ‘AI for Responsible Leadership,’ which marks the 10th anniversary of the establishment of the role of Chair at ESSEC, titled the ESSEC Accenture Strategic Business Analytics Chair.

The initiative aims to encourage the use of artificial intelligence by leaders in ways that are responsible and ethical, and that lead to high levels of professional performance. It aims to provide current and future leaders with the skills they require when faced with challenges in the future; economic, environmental, or social.

Several organisations support the initiative, including institutions, businesses, and specialised groups, including ESSEC Metalab for Data, Technology & Society, and Accenture Research.

Executive Director of the ESSEC Metalab, Abdelmounaim Derraz, spoke of the collaboration, saying, “Technical subjects are continuing to shake up business schools, and AI has opened up opportunities for collaboration between partner companies, researchers, and other members of the ecosystem (students, think tanks, associations, [and] public service).”

ESSEC and Accenture aim to integrate perspectives from multiple fields of expertise, an approach that is a result of experimentation in the decade the Chair has existed.

The elements of the initiative include workshops and talks designed to promote the exchange of knowledge and methods. It will also include a ‘barometer’ to help track AI’s implementation and overall impact on responsible leadership.

The initiative will engage with a network of institutions and academic publications, and an annual Grand Prix will recognise projects that focus on and explore the subject of AI and leadership.

Fabrice Marque, founder of the initiative and the current ESSEC Accenture Strategics Business Analytics Chair, said, “For years, we have explored the potential of using data and artificial intelligence in organisations. The synergies we have developed with our partners (Accenture, Accor, Dataiku, Engie, Eurofins, MSD, Orange) allowed us to evaluate and test innovative solutions before deploying them.

“With this initiative, we’re taking a major step: bringing together an engaged ecosystem to sustainably transform how leaders think, decide, and act in the face of tomorrow’s challenges. Our ambition is clear: to make AI a lever for performance, innovation and responsibility for […] leaders.”

Managing Director at Accenture and sponsor of the ESSEC/Accenture Chair and initiative, Aurélien Bouriot, said, “The ecosystem will benefit from the resources that Accenture puts at its disposal, and will also benefit our employees who participate.”

Laetitia Cailleteau, Managing Director at Accenture and leader of Responsible AI & Generative AI for Europe, highlighted the importance of future leaders understanding all aspects of AI.

“AI is a pillar of the ongoing industrial transformation. Tomorrow’s leaders must understand the technical, ethical, and human aspects and risks – and know how to manage them. In this way, they will be able to maximise value creation and generate a positive impact for the organisation, its stakeholders and society as a whole.”

Image credit: Wikimedia Commons

See also: Microsoft and OpenAI probe alleged data theft by DeepSeek

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.

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what u think, to much colour, or less?

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Leading Microsoft Solutions Partner in Gurgaon | IFI Techsolutions

IFI Techsolutions is Microsoft Solution partners in Gurgaon. Our Implementation expertise involves automation, migration, security, optimize and managed cloud.

[sigzentechnologies]

The Future of Retail & Wholesale: Innovate with ERPNext Solutions by Sigzen

In the dynamic landscape of retail and wholesale, businesses are constantly seeking innovative solutions to stay ahead. Enter ERPNext, a comprehensive enterprise resource planning (ERP) platform designed to revolutionize operations in both retail and wholesale sectors. With its user-friendly interface and powerful features, ERPNext offers a seamless solution for managing inventory, optimizing…

[mobio-solutions]

Embracing the synergy of Cloud & DaaS revolutionizes data analytics! Instant access, supreme scalability, & cost-effectiveness drive data-driven decisions. We're at a new horizon, unbound by limits, ready to soar with informed strategies. Join the journey towards boundless innovation!

[mikekelvin]

SAP Analytics Cloud: Empowering Data-Driven Decisions for Competitive Edge

In today's digital business landscape, data rules decision-making. SAP Analytics Cloud stands as a potent tool, unlocking data's potential for invaluable insights. Benefits include centralized data management, real-time analytics, and self-service capabilities. The tool's advanced visualization aids comprehension, while seamless collaboration and cloud-based scalability add to its prowess. Key features encompass data integration, modeling, and advanced analytics with machine learning. Smart Insights spot patterns efficiently. Planning and budgeting are streamlined, and embedded collaboration enhances teamwork. Versatile use cases span sales, finance, supply chain, HR, and operations. Embrace SAP Analytics Cloud and usher in a data-driven era of success.

Originally published on: https://www.kellton.com/kellton-tech-blog/leverage-sap-analytics-cloud-to-accelerate-decision-making-capabilities

[astutebusiness]

Empower Your Business with Analytics Cloud Enablement

Get powerful insights fast with Astute’s ACE – Analytics Cloud Enablement. Our 2-week, fixed-fee service helps you launch Oracle Analytics Cloud with pre-built dashboards and data models. Ready to transform your data? Let’s begin!

[aurotekcorp]

In today’s fast-paced digital landscape, organizations constantly seek ways to enhance efficiency and innovation. This is where Cloud DevOps consulting services and solutions come into play, revolutionizing how businesses operate. By merging development and operations through cloud technology, these services empower teams to collaborate seamlessly, automate processes, and accelerate the deployment of applications. Imagine a world where your project cycles are shorter, your teams are more responsive, and your customers receive updates in real-time. That’s the promise of embracing Cloud DevOps. This article delves into how these consulting services can transform your business, driving not only productivity but also fostering a culture of continuous improvement and adaptability. Discover the strategies and benefits of leveraging Cloud DevOps consulting and unlock new opportunities for growth and success in your organization.

[tandeminformaticsmadurai]

UI/UX Design Mastery Course in Madurai – Elevate Your Design Skills

The UI/UX Design Mastery Course in Madurai is an ideal program for aspiring designers and tech enthusiasts eager to break into the world of user interface and user experience design. Tailored for beginners as well as professionals looking to enhance their skills, this course offers a perfect blend of theoretical knowledge and hands-on experience.

Participants will learn the fundamentals of design thinking, user research, wireframing, prototyping, and usability testing. The curriculum also covers industry-leading tools like Figma, Adobe XD, and Sketch, ensuring learners gain practical expertise. The course emphasizes real-world projects and case studies to help students build an impressive design portfolio.

Guided by experienced mentors and industry experts, students receive personalized feedback and career guidance throughout the program. Whether you aim to work with top tech companies, start your freelance design journey, or build your own product, this course equips you with the skills to deliver intuitive and engaging digital experiences.

Located in Madurai, this program offers in-person and hybrid learning options, making it accessible and flexible for learners from different backgrounds. With a focus on creativity, innovation, and user-centric design, the UI/UX Design Mastery Course is your gateway to a rewarding career in the dynamic field of digital design.

Enroll today to unlock the power of design and transform your ideas into user-friendly interfaces that make a lasting impact.