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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO Business Intelligence

A data lakehouse supports business intelligence (BI), analytics, real-time data applications, data science and ML in one place. It provides rapid, direct access to trusted data for data scientists, business analysts, and others who need data to drive business value. Just starting out with analytics?

Analytics 123
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Predictive Analytics: 4 Primary Aspects of Predictive Analytics

Smart Data Collective

Deep Learning, Machine Learning, and Automation. Many business processes are trending towards the utility of the business intelligence sphere, especially where certain predictive analytics tools are concerned. From a predictive analytics standpoint, you can be surer of its utility.

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How to choose the best AI platform

IBM Big Data Hub

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. trillion in value.

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CIO Bhavani Amirthalingam on driving change in the AI era

CIO Business Intelligence

It has been around since the 1950s with machine learning. Using data and algorithms to imitate the way humans learn came into the scene in the 1980s, and this further evolved to deep learning in the 2000s. Pilots often reveal the feasibility of scaling; however, not all initiatives will make business sense to expand.