Real-time Analytics News for the Week Ending September 13
In this week's real-time analytics news: MLCommons announced new results for its industry-standard MLPerf Inference v5.1 benchmark
Topic: Artificial intelligence technologies
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
The Expert Agent Imperative: Why Specialized Intelligence Will Define Enterprise Success
The question facing every enterprise technology company is simple but urgent: Will you be an essential expert agent that first agents rely on, or will you …
Why Interoperability Is the Next Big Test for Enterprise AI Agents
Interoperability is critical because AI agents have to be able to share tools, context, and tasks securely across
Why Data Quality Is the Cornerstone of AI Success
In today’s AI-driven business environment, data quality is essential to ensure smarter decision-making, lower risk, and more agile responses across the …
Navigating the Evolution of AI: Trust, Oversight, and the Power of Agentic Systems
For enterprises to harness the full potential of agentic AI, they must invest in planning, robust training, and continuous
The Changing Landscape of Telcos: 6 Trends That are Shaping the Future
Telcos will rely heavily on artificial intelligence and AI agents to meet user demands, increase operational efficiencies, carry more traffic, and improve …
AI-First Development: The Strategic Imperative for Modern Enterprises
AI-First Development has evolved from an innovative approach to a strategic necessity for enterprises seeking to remain competitive in today's rapidly changing …
Studies Find Scaling Enterprise AI Proves Challenging
To successfully scale enterprise AI, organizations must focus on enterprise productivity, rather than just individual task
Addressing the Hidden Security Risks of AI Agents in Industrial Operations
Industrial organization using AI agents must treat them as first-class citizens in the security architecture, not just as tools.
Are We Ready for the Real-time Demands of AI? Survey Says No
The ability to observe, monitor, and if necessary, intervene in AI-driven processes in real time has become the most pronounced challenge for enterprises of …