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Essential skills and traits of chief AI officers

CIO Business Intelligence

Driving business benefits Companies seeking CAIOs are looking to reap myriad benefits from AI adoption, ranging from improved decision-making, to increased efficiency of business processes, higher-quality services, profitability, talent management, customer experience, and innovation.

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Does AI Decision-Making Drive Your Business?

DataRobot

Reduce its operational costs? Increase ROI through Greater Operational Savings. In a survey of field service and IT staff, GE and GE Service Max found that unplanned downtime costs companies about $260K per hour. Keeping that possibility in mind, take a look at potential AI benefits in the field of drug discovery.

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What is asset reliability?

IBM Big Data Hub

When a critical asset like an expensive piece of machinery or infrastructure breaks unexpectedly, it affects customers and can cost companies millions. Enterprises are constantly looking for new ways to optimize performance, increase reliability and extend asset lifespans—all without adding unnecessary costs. What is an asset?

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The most valuable AI use cases for business

IBM Big Data Hub

Technical AI use cases Speed operations with AIOps There are many benefits to using artificial intelligence for IT operations (AIOps). AIOps is one of the fastest ways to boost ROI from digital transformation investments. Here are some of the industries that are benefiting now from the added power of AI.

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Data Scientist Spotlight: Atalia Horenshtien

DataRobot Blog

But the secret for getting an actual benefit from AI is not as simple as developing some models or purchasing an AI platform. Steward uses machine learning to make big decisions about staff and patients, reduce costs, and improve patient outcomes and experiences, and they have already started achieving their goal of decreasing costs.

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Advanced Data Discovery and Augmented Analytics: Simple, Sophisticated Tools for Business Users

Smarten

Business users can quickly and easily prepare and analyze data and visualize and explore data, notate and highlight data and share data with others to identify the important ‘nuggets’, buried in traditional data, and to connect the dots, find exceptions, identify patterns and trends and better predict results.

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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data. What is text mining?