Why DataOps Is Critical to Successfully Scaling AI
AI projects often fail to scale due to poor data quality and siloed pipelines. Learn how DataOps provides the governance, automation, and real-time …
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.
A Framework for Taking AI Pilots from Experiment to Enterprise
This framework provides phased validation, continuous integration, and comprehensive risk management, empowering firms to transition from pilot to enterprise …
AI Isn’t Static. Why Are We Still Feeding It Yesterday’s Data?
Developers need large context windows for breadth, automatic caching for efficiency, and easy-to-use embedding pipelines for retrieval.
AI Prompts are Real-Time Energy Pits
To address concerns about energy consumption, AI system providers are using research innovations and software and hardware improvements to increase energy …
Real-time Analytics News for the Week Ending September 20
In this week's real-time analytics news: NVIDIA and Intel Corporation announced a collaboration to jointly develop custom data center and PC products to …
The Revenue AI Imperative: Connecting Data, Context, and Guided Selling in Real Time
For enterprise revenue AI to work, it needs more than data. It needs context. Without it, accuracy breaks, decisions stall, and trust disappears. Here’s how …
AI Readiness is the Real Race – So Why Aren’t Organizations Set Up to Win?
As more organizations race to showcase AI capabilities, it’s easy to feel pressure to move fast. But AI readiness isn’t about speed. It’s about building …
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
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