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Data for Enterprise AI: at the very forefront of innovation

Cloudera

It’s been a year filled with disruption and uncertainty. UOB used deep learning to improve detection of procurement fraud, thereby fighting financial crime. 2020 may well go down as the year where what seems impossible today, did become possible tomorrow.

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Digital Leadership — Outlook and Trends

CIO Business Intelligence

In the face of emerging and disruptive technology, there is a need to transform your business processes and your interaction with your customers digitally. Finally, agility is very important in this era of Volatility, Uncertainty, Complexity, and Ambiguity (VUCA). To learn more, click here. IT Leadership

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. The AGI would need to handle uncertainty and make decisions with incomplete information. The idea is that true intelligence requires an agent to experience and learn from the world through a physical body.

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An AI Data Platform for All Seasons

Rocket-Powered Data Science

To see this, look no further than Pure Storage , whose core mission is to “ empower innovators by simplifying how people consume and interact with data.” In deep learning applications (including GenAI, LLMs, and computer vision), a data object (e.g.,

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Data Science, Past & Future

Domino Data Lab

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. You can take TensorFlow.js

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Product Management for AI

Domino Data Lab

This talk will describe how you can navigate all these challenges that you’re going to face and build a business where every product interaction benefits from your investment in machine learning. It used deep learning to build an automated question answering system and a knowledge base based on that information.