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Supriya Goswami
Why Workforce Preparedness Determines Digital Transformation Success
Technology investments in solutions such as AI platforms, automation frameworks, cloud infrastructure, and advanced customer engagement…
Salvatore Salamone
Sovereign AI Explained: How and Why Nations Are Developing Domestic AI Capabilities
Sovereign AI is a national strategy in which a country develops and controls its own AI…
Peter Weckesser
Building Resilient and Sustainable Industries With AI, IoT, Software-Defined Systems, and Digital Twins
Leaders today face relentless pressure: deliver growth while navigating rising costs, volatile supply chains, and intensifying…
Kevin Cochrane
Breaking the Barriers to AI Maturity
AI-mature organizations that have successfully woven artificial intelligence (AI) into their daily operations are already seeing…
Building Trust and Safety in the Age of AI
As digital ecosystems become more complex and stakeholder expectations rise, industry leaders have an opportunity to treat trust as a differentiator. Invest in trust now, and then the returns in loyalty, innovation, and brand strength will follow.
The Evolution of Real-Time Intelligence at the Edge
Adaptive edge intelligence transforms edge nodes into mini real-time decision hubs, reducing reliance on centralized cloud decision pipelines and enabling responsive, autonomous behavior.
AI That Plays by Your Rules: Why Enterprise MCP Integration Changes Everything
The future of enterprise AI isn't about choosing between security and productivity. MCP makes that possible by providing proven frameworks for governing AI interactions with sensitive data.
Why Workforce Preparedness Determines Digital Transformation Success
Digital transformation suffers when employees can't master new solutions quickly enough. Application simulation and AI-based roleplay training can overcome such issues, creating comprehensive preparedness that enables users to master digital workflows and interpersonal interactions.
Cybersecurity’s Next Evolution: How MCP Is Rewiring Training for the AI Era
MCP helps alleviate some of the pain points of traditional cybersecurity training methods by enabling adaptive learning paths that evolve in real time.
Real-time Analytics News for the Week Ending November 29
In this week's real-time analytics news: A light week for announcements due to the Thanksgiving holiday in the U.S.
Sovereign AI Explained: How and Why Nations Are Developing Domestic AI Capabilities
Sovereign AI gives countries the ability to develop, host, deploy, and govern AI systems using domestic data, infrastructure, and more.
When AI Becomes the First Sales Call: How to Prepare for “AI-to-AI” B2B Buying
In the next phase, the B2B website becomes an intelligent layer that serves both human visitors and AI intermediaries with the same level of clarity, nuance, and trust.
Building Resilient and Sustainable Industries With AI, IoT, Software-Defined Systems, and Digital Twins
The industrial sector has always thrived on adaptation. AI, IoT, software-defined systems, and digital twins represent the next stage of that evolution.
Mission-Critical AI: When Failure Isn’t an Option for Service Professionals
Successful service businesses understand that the best AI deployments are all about reliability and uptime. When your ultimate goal is to serve customers, failure is simply not an option.
Microsoft Ignite Takes Aim at AI
This week’s event had a strong focus on AI. As a result, there were many announcements from Microsoft and its partners.
Real-time Analytics News for the Week Ending November 22
In this week's real-time analytics news: Microsoft, NVIDIA, and Anthropic announced new strategic partnerships.
Beyond Dashboards: How Retailers Are Turning Conversations into Customer Insights
Retailers can no longer afford to rely solely on static dashboards. The combination of conversational analytics, Gen AI, and semantic intelligence provides both agility and trust.
What Is Sovereign AI? Why Nations Are Racing to Build Domestic AI Capabilities
Explore why countries are prioritizing sovereign AI, the advantages of domestic AI ecosystems, and key insights from the World Economic Forum.
Why Data, Not Tech, Drives Digital Transformation
Ready to move forward? Start by auditing your data workloads and prioritizing those that drive business value.
When AI Writes Code: How the Role of Developers is Changing
Modern AI coding tools now offer full-project context awareness, understanding of relationships across files, and enable large-scale refactoring.
The Hidden Costs of Backhauling Continuous Data to the Cloud
Backhauling data to centralized facilities no longer works in industries that have high volumes of continuous streaming data. That’s were adaptive edge intelligence can help.
Adaptive Edge Intelligence: Real-Time Insights Where Data Is Born
IoT data is the fuel that powers adaptive edge intelligence. By analyzing IoT data directly at the edge, organizations gain the ability to interpret context the moment it occurs.
Real-time Analytics News for the Week Ending November 15
In this week's real-time analytics news: MLCommons announced the results for the MLPerf Training v5.1 benchmark suite, highlighting the significant performance improvements from new generations of systems.
Closing the Latency Gap: Real-Time Decision Making at the Point of Data Creation
The shift toward real-time decision-making at the edge is an evolution in how businesses operate. Closing the latency gap means smarter, safer, and more resilient operations.
NaaS for AI Takes Center Stage at GNE 2025
The network demands of today's distributed AI workloads was apparent throughout this week's annual Global NaaS Event (GNE).
2025 Cloud Database Market: The Year in Review
The cloud database market transitioned in 2025. It is no longer just “databases in the cloud.” It has become the data and AI control plane for the enterprise.
Hybrid RAG: The Key to Successfully Converging Structure and Semantics in AI
Hybrid RAG is a unified framework that intelligently combines vector-based and graph-based retrieval within a single, orchestrated workflow.
When AI Starts Seeing and Hearing, IT Must Start Rethinking
In 2026, the question for IT isn't whether to adopt multimodal AI. It's how fast they can do so without turning into chaos.
Agentic AI and the Next Leap in Industrial Operations
Agentic AI represents the fusion of data intelligence and operational autonomy, bringing the long-promised vision of smart, adaptive, and resilient industrial systems into reality.