Gartner Keynote: Be AI-ready to Empower Change
Business success is dependent on having AI-ready data. The way to ensure that is through an iterative process based on the availability of metadata to measure, …
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Business success is dependent on having AI-ready data. The way to ensure that is through an iterative process based on the availability of metadata to measure, …
A look at the four kinds of software that perform real-time analytics on event streams and when to use
With a universal semantic layer that organizes and standardizes your data, your company is ready to embrace AI wherever it leads.
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