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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…
Elizabeth Wallace
AI Agents are Reasoning with Tools: What MCP Means for Autonomy
One of the biggest promises of deploying AI was the chance to offload mentally demanding, error-prone…
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.
Real-time Analytics News for the Week Ending June 21
In this week’s real-time analytics news: MCP continues to gain momentum with multiple vendor announcements for support of the protocol.
How is AI Really Being Used?
While technical applications like content generation and coding assistance still rank highly, the dominant theme this year is “Personal and Professional Support,” according to an HBR survey.
Enterprises Take Note: A Knowledge-First Approach is Critical for Agentic AI Success
Enterprises that want to succeed with agentic AI must structure business knowledge so AI agents can reason effectively, moving beyond fragmented data pipelines to an integrated, knowledge-driven approach to unify enterprise intelligence.
Agentic AI: Transforming Global Freight Compliance with Real-Time Trade Intelligence
As international trade becomes increasingly digital, Agentic AI will be the layer of intelligence that bridges regulation with execution. Freight operators who embrace this shift will gain not only efficiency but also a competitive edge in a volatile trade environment.
How Multi-Disciplinary Product Development is Transforming Innovation
Effective multi-disciplinary product development for innovation requires an integrated technology stack combining PLM, CAD, CAE, and manufacturing planning tools.
Using AI to Modernize Off-Channel Communications Compliance
AI will help change financial communications surveillance from a rules-based morass of red herrings to a surgical, risk-based discipline, freeing up time to investigate true non-compliance threats.
U.S. Edge Computing Market Set to Reach $43.59 Billion by 2029
The edge computing market is set to boom over the next few years. Find out what’s driving its exponential growth.
Why Scaling Visual AI in Industrial Operations Is So Hard
The promise of visual AI in industrial environments is clear, but the road to scale is littered with challenges. Models don’t generalize well, and even when they do, the operational differences across facilities introduce friction at every turn. With thoughtful design, these challenges are solvable.
Real-Time Visual Intelligence in the Energy Industry
As energy systems become more decentralized, automated, and data-driven, real-time visual intelligence is poised to play a more critical role in supporting operations.
Real-time Analytics News for the Week Ending June 14
In this week’s real-time analytics news: The Databricks Data + AI Summit yielded numerous announcements from Databricks and its partners.
Orchestrating Real-Time Fulfillment: Architecture Patterns from High-Velocity E-Commerce
Orchestrating real-time fulfillment is about marrying speed with control. An event-driven, streaming-based architecture provides a blueprint for doing exactly that.