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5 artificial intelligence (AI) types, defined

CTOvision

Read Stephanie Overby define five types of artificial intelligence on Enterprisers Project : Artificial intelligence (AI) is redefining the enterprise’s notions about extracting insight from data. Indeed, the vast majority […].

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Palantir: The Next Big Player In Enterprise Data

CTOvision

’s future is bright as more and more businesses transition to artificial intelligence backed big data working environments on Seeking Alpha : In a world where technology is advancing faster than ever, it is not outlandish to see life imitate […].

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Edge computing and AI: 7 things to know

CTOvision

Read Stephanie Overby explain how Edge computing and Artificial Intelligence can work together on The Enterprisers Project : For decades, artificial intelligence (AI) lived in data centers, where there was […].

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Leveraging Gen AI on Structured Enterprise Data

IT Toolbox

Discover the future of business intelligence and the transformative power of generative AI in data analysis. The post Leveraging Gen AI on Structured Enterprise Data appeared first on Spiceworks.

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Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. Brought to you by Data Robot. Aligning AI to your business objectives. Identifying good use cases. Building trust in AI.

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Forrester’s AI Webinar Series: Navigate The Choppy And Exciting Waters Of Enterprise AI

Forrester IT

Navigate the choppy and always exciting waters of artificial intelligence (AI) with Forrester’s analysts.

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The 37 Major Machine Learning Tools For 2020

Forrester IT

Enterprises need more artificial intelligence (AI) and machine learning (ML) solutions to drive value, transform their businesses, and outperform the competition. But firms find it challenging to navigate the lifecycle of developing, deploying and maintaining their ML models and AI solutions. A key problem?

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5 Things a Data Scientist Can Do to Stay Current

Demand for data scientists is surging. With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Collecting and accessing data from outside sources.