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Dev Nag
Foundation Models Arrive in Radiology: One Network, Many Tasks
Artificial intelligence in imaging used to feel like patchwork: one small algorithm to flag lung nodules,…
Elizabeth Wallace
How AI Is Forcing an IT Infrastructure Rethink
As AI adoption accelerates, organizations are discovering that many legacy systems aren’t built to support the…
Salvatore Salamone
How is AI Really Being Used?
AI is an excellent fit for tasks that are high-volume, repetitive, and data-driven. In areas like…
Terence Chesire
Closing the AI Readiness Gap: Unlocking the Full Potential of AI Agents
Artificial intelligence is no longer a futuristic concept—it’s a present-day reality reshaping industries worldwide. AI Agents…
Real-time Analytics News for the Week Ending July 12
In this week’s real-time analytics news: Amazon Web Services (AWS) announced new capabilities in Sagemaker AI.
Why Some Companies Are Pumping the Brakes on AI
AI isn’t failing. It’s maturing, and the companies pulling back may be the ones thinking most clearly about what comes next.
Enabling a New Wave of Innovations with Agentic AI
Agentic systems will replace some roles. However, they will also create new opportunities to manage and develop the intelligent systems and ensure they remain on track.
Why Layered and Agentic AI Demand a New Kind of Data Infrastructure
Agentic AI success requires platforms that can serve as immutable sources of truth while providing real-time streaming capabilities, contextual event organization, and the ability to rehydrate historical data for new model requirements.
Beware of Vengeful AI Agents
In simulated experiments, testers showed how easily AI agents can adopt self-preservation tactics when placed in high-stakes scenarios. Specifically, similar to disgruntled human employees, AI agents might take unethical actions to complete tasks and survive.
The AI Data Protection Revolution: Why Your Current Backup Strategy Won’t Cut It
AI-ready data protection must deliver enterprise-grade security and compliance capabilities while maintaining the agility and performance that AI workloads demand.
IBM Reveals CEO Expectations, Concerns with AI Implementation
Despite early setbacks, CEOs remain committed to AI, focusing on strategic leadership, measurable ROI, and workforce transformation to turn ambition into value.
Foundation Models Arrive in Radiology: One Network, Many Tasks
Foundation models won’t replace radiologists, but they are already redrawing the job description. By catching faint signals, shaving minutes off critical paths, tailoring maps to unique anatomies, and flagging trouble long before symptoms appear, these neural generalists let physicians spend more time doing what only humans can do.
The Growing Importance of Securing MCP Servers for AI Agents
As MCP servers become the backbone of multi-agent AI systems, their design and protection demand first-class architectural status.
Agentic AI in Industry: The Technologies That Will Deliver Results
Agentic AI promises to move industrial automation from rigid workflows to adaptive, intelligent systems. But the path forward isn't purely technical. It demands investment in infrastructure, culture, and trust.
Report Shows AI Driving Automation in Software Development
As AI systems grow more capable, the roles of human programmers may evolve significantly, offering insight into the broader transformation of skilled work in the AI era.
5 Things Every DBA Needs to Do Today to Ensure AI Compliance for Tomorrow
By enforcing robust data governance policies, implementing AI-auditing frameworks, fortifying access controls, streamlining documentation, and staying informed about evolving standards, DBAs can navigate the complex intersection of AI and data compliance with confidence.
The Rise of Agentic GBS: Orchestrating Intelligence Across the Enterprise
For companies determined to future-proof their operations, now is the time to reimagine GBS as the orchestrator of enterprise intelligence.
Digital Twins Pave Way for AI-Enabled Smart Factories
Manufacturers find that the integration of digital twins, AI, and simulation technologies supports advanced plant modeling, simulation, planning, and operations management.
Quantum Image Encryption for Next-Generation Data Security
A new encryption algorithm uses quantum key images to deliver advanced protection for sensitive visual data across finance, healthcare, government, and IoT systems.
Working at the Edge: Realizing the Full Value of Distributed Intelligence and Its Role in Modern Data Strategy
The edge has become an active layer of enterprise execution, where decisions are made, value is created, and real work gets done. As organizations continue to modernize their infrastructure and connect data with action, the ability to operate effectively at the edge will separate those moving forward from those still trying to keep up.
AI Agents in Industrial Operations: Build or Buy?
The build-vs-buy decision is not just about cost or control. It’s about aligning an approach to AI with an organization’s long-term digital ambitions, organizational capabilities, and operational realities.
Real-time Analytics News for the Week Ending June 28
In this week’s real-time analytics news: The Linux Foundation launched a new project focusing on secure AI agent-to-agent communications and collaboration.
Corporate AI Governance: Best Practices for a Secure and Ethical Future
AI governance cannot be treated as an IT problem alone. It is an enterprise-wide challenge requiring strategic alignment, operational rigor, and cultural change.
How AI Is Forcing an IT Infrastructure Rethink
A recent report reveals IT leaders are rearchitecting legacy systems to support scalable, secure, and cloud-integrated infrastructure for their AI efforts.
Model-Based Systems Engineering: A Simpler Way to Build Smarter Vehicles
Tomorrow's automotive leaders will be those who embrace model-based systems engineering (MBSE) today, not just to build better vehicles but to drive a fundamental transformation toward a more agile, efficient, and innovative industry.
Beyond Cybercriminals: Insider Threats and Data Vulnerabilities Within the AI Industry
Effective cybersecurity must go beyond addressing hackers who seek to gain access to AI company data by toppling security systems. A comprehensive system will also address insider threats and the data vulnerabilities that can occur due to internal oversights.
Drowning in Data? Smart Content is Here to Help
Smart Content doesn’t just mean responsive documents that guide us. It will evolve into a dynamic corporate knowledge base and intelligent business process stack, one that’s far more proactive than today’s static PDFs and forgotten Teams files.
Amazon Introduces Its First Touch-Sensitive Robot
Amazon has introduced robots with another key human sense necessary for precise movement. That sense is a sense of touch.
Kill the Dinosaur: Why Legacy Data Governance Is Holding Back the AI Era
The AI era demands better data systems. Organizations must recognize that yesterday's tools of governance are holding them back and they must put in the hard work to build something new.