Why Is It So Hard to Trust Industrial Data? And What Can Be Done About It?
A discussion on the importance of having trust in industrial data, the challenges that have prevented past technologies from working, and how Generative AI …
Topic: Generative AI
Three Industrial Workflows Tailor-made for Gen AI
Common front-line worker tasks like data exploration, root cause analysis, and turnaround planning can all be helped with a suitably implemented Gen AI …
Overcoming Gen AI Adoption Obstacles Across Process Industries
Process industries face many obstacles that are preventing the straightforward deployment and adoption of Gen AI. Here are some tips to overcome those …
The Last Mile of Data Analysis Stood in the Way of Real-Time Decision-Making, Then AI Came Along
AI-boosted business intelligence will simplify query generation and empower data analysts to delve deeper into data analysis by producing comprehensive reports …
Real-time Analytics News for the Week Ending January 13
In this week's real-time analytics news: NVIDIA is bringing Generative AI down to the individual developer and consumer level with its GeForce RTX SUPER …
Real-time Analytics News for the Week Ending January 6
In this week's news: Microsoft announced a new Copilot key to Windows 11 PCs, the first major change to the Windows keyboard in nearly 30
Gartner Forecasts Robust Growth in Worldwide Public Cloud Spending
Thanks to the ability to scale, organizations deploying GenAI services are expected to turn to the public cloud. This is at a time when emerging technologies …
Generative AI: A Symphony of Precision Across the Data Lifecycle
Organizations that view data as a critical corporate asset and embrace generative AI throughout the data lifecycle will position themselves at the forefront of …
How to Fix AI’s Hallucinations Problem: Corral It With Facts
A key to cracking the hallucinations problem is adding knowledge graphs to vector-based retrieval augmented generation (RAG), a technique that injects an …
How to Make Generative AI Work for Industry
Risk-averse industries must address concerns about hallucinations, security, and privacy before they can confidently embrace generative AI. Here are some tips …
