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It is difficult to think of an industry that AI is not currently transforming. AI is on a clear path to make a huge difference in healthcare, education, transportation, retail, communications and more. A wide range of activities and processes can greatly benefit from the implementation of intelligent systems and algorithms.
The toughest challenge for AI and advanced analytics is not AI, it’s the data. The scale of data has far exceeded the technologies that traditionally handled it.
Because of the enormous volumes, the variety and velocity of data, IT is busy implementing strategies and infrastructure to manage it all. Meanwhile, the business keeps demanding faster and simpler access to trusted data, and more self-service capabilities.
Modern analytics, as well as major digital transformation initiatives, are supported by AI and machine learning. So, the critical question becomes: how do you ensure the AI models are fed with data that is of high quality, relevant, and well understood?
This session will explore the main challenges companies are facing as they embrace AI and machine learning at a larger scale.
By joining this webinar, you will learn
Duration: 20 minutes plus Q&A
Rick Mutsaers, Principal Architect, Informatica