It’s Time to Stop Treating Predictive Analytics as Data Science Projects
Rather than focusing on data science metrics, predictive analytics efforts must be tied to business
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Rather than focusing on data science metrics, predictive analytics efforts must be tied to business
While GenAI will be prominent at the Gartner Data & Analytics Summit, at least half the agenda is dedicated to traditional topics covering good data management …
The challenges associated with shadow AI will likely get worse before they get better as the implementation of AI tools is occurring at a faster rate than most …
Quick answer: No, you don’t always need data in motion to operate in real time. However, some high volume/low latency real-time systems do use data in motion …
An overview of Informatica's efforts to help clients realize the value of data-driven decisions from real-time data through the use of AI in data
It's clear that the world of AI and data analytics is in a state of dynamic change. The future demands a balanced approach, where innovation is coupled with …
Make your transactions more profitable, more effective, and cheaper to handle by adding real-time decisions to your mainframe
Becoming an AI-first organization requires that businesses today get foundational digital transformation
2024 was a big year for real-time data and AI. Here are 19 women we watched who are moving technology, business, and ethics of real-time data and AI
A key to cracking the hallucinations problem is adding knowledge graphs to vector-based retrieval augmented generation (RAG), a technique that injects an …