Artificial Intelligence Related Topics 
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 […].
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.
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IT Toolbox
AUGUST 16, 2024
The Massachusetts Institute of Technology (MIT) has released the world's first comprehensive database to catalog artificial intelligence risks. The post MIT Unveils Comprehensive Database of Artificial Intelligence Risks appeared first on Spiceworks Inc. Learn more about the effort and its importance for end users.
IT Toolbox
MAY 9, 2023
The post Amazon Throws Down Gauntlet in Artificial Intelligence Market; Develops AI-Based Ads appeared first on Spiceworks. Amazon plans to build AI tools to create visuals for advertising mediums on its platform.
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In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities?
IT Toolbox
AUGUST 1, 2024
The EU's landmark Artificial Intelligence Act took effect on August 1, 2024. Learn about the world's first artificial intelligence regulations and what they mean for organizations and the artificial intelligence industry worldwide.
Forrester IT
DECEMBER 19, 2022
The Forrester Wave™: Artificial Intelligence For IT Operations, Q4 2022 evaluated 11 vendors on 35 different capabilities. Read the report to see the vendor that came out on top with the highest-ranked capabilities for the broadest set of organizations.
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: GEP
Finally, there’s some breathing room, and the opportunity to create long-term strategy, build resilience and explore the growing potential of artificial intelligence.
Advertiser: Data Robot
You know you want to invest in artificial intelligence (AI) and machine learning to take full advantage of the wealth of available data at your fingertips. But rapid change, vendor churn, hype and jargon make it increasingly difficult to choose an AI vendor.
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? Renowned author and professor Tom Davenport conducted an in-depth study (sponsored by DataRobot) on how organizations have become AI-driven using automated machine learning.
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
Many organizations are dipping their toes into machine learning and artificial intelligence (AI). However, for most organizations embarking on this transformational journey, the results remain to be seen. And for those who are already underway, scaling their results across their organizations is completely uncharted waters.
Advertiser: Data Robot
Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization.
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.
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