ai-artificial-intelligence 
Forrester IT
APRIL 3, 2024
US federal agencies must now have a chief artificial intelligence officer responsible for operationalizing the safe use of AI. Learn more about this move and the implications in this blog post.
IT Toolbox
JANUARY 4, 2024
Articul8 AI has emerged as a result of Intel’s research work with Boston Consulting Group (BCG). The post Intel Establishes Articul8 AI Generative Artificial Intelligence Firm appeared first on Spiceworks.
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CTOvision
MAY 27, 2020
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 […].
IT Toolbox
DECEMBER 12, 2023
The approach to AI development is only getting mired in the same tussle that influenced the development of computing in the 20th century. The post Open Source vs. Proprietary AI: A Tussle for the Future of Artificial Intelligence appeared first on Spiceworks.
Advertiser: GEP
As artificial Intelligence (AI) becomes more prevalent, it’s crucial that firms adopt AI technology responsibly. This World Economic Forum-GEP report offers a holistic procurement process and structured framework to select responsible AI tools. Download the report today.
IT Toolbox
MAY 9, 2023
Amazon plans to build AI tools to create visuals for advertising mediums on its platform. The post Amazon Throws Down Gauntlet in Artificial Intelligence Market; Develops AI-Based Ads appeared first on Spiceworks.
CTOvision
MAY 19, 2020
Read Stephanie Overby bust some myths about machine learning and artificial intelligence on Enterprisers Project : Some people use the terms of artificial intelligence (AI) and machine learning (ML) interchangeably. […].
Advertiser: GEP
What’s Inside: How organizations can most effectively focus on long-term value creation, not just short-term cost savings The impact that embracing innovation and new technologies such as artificial intelligence (AI) can have The essential elements every organization needs to balance cost, risk, and sustainability
Advertiser: Data Robot
Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. But in order to reap the rewards that AI offers, it is essential that businesses first address how their organizations are set up, from their people to their processes.
Advertiser: Data Robot
The risk of bias in artificial intelligence (AI) has been the source of much concern and debate. Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data.
Advertiser: Data Robot
The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology. Download the report to gain insights including: How to watch for bias in AI.
Advertiser: Data Robot
While everyone is talking about machine learning and artificial intelligence (AI), how are organizations actually using this technology to derive business value? This white paper covers: What’s new in machine learning and AI. Real-world examples of companies using the DataRobot automated machine learning platform.
Advertiser: Data Robot
Many organizations are dipping their toes into machine learning and artificial intelligence (AI). Why do AI-driven organizations need it? How can MLOps help data science teams, business leaders, and IT professionals build a resilient and scalable foundation for their AI initiatives?
Advertiser: Data Robot
And more is being asked of data scientists as companies look to implement artificial intelligence (AI) and machine learning technologies into key operations. Read the ebook to get more information about staying up to speed with the latest technologies in a rapidly evolving AI environment.
Speaker: Dick Stark and Casey Steenport
70% of business decision-makers say that employees focus on more meaningful work with AI. The big buzz is around Artificial Intelligence, and how it can help IT service delivery teams crush their goals. You may have this question in your mind - ‘Is this the right time for deploying AI?'
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