Artificial intelligence platforms
It's important to be aware of what's available in the artificial intelligence platform market, whether you've only just begun to evaluate AI platforms or have already invested in AI tools such as machine learning. Find valuable insights into how to make enterprise AI software and device decisions and how to integrate those AI tools into your existing IT infrastructure.
Top Stories
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Feature
24 Oct 2024
AI in cloud computing: Benefits and concerns
Businesses see public cloud as the primary vehicle for delivering generative AI's benefits in productivity, operational efficiency and workflow automation, but challenges remain. Continue Reading
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News
22 Oct 2024
Anthropic adds computer use AI tool to Claude
The startup said computer use can let developers automate repetitive tasks, scroll, move a cursor, click buttons and type texts. The function can also help with AI agents. Continue Reading
By- Esther Ajao, News Writer
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Feature
06 Sep 2018
Machine learning in production challenges developers' skills
Deploying machine learning models requires an entirely different skill set than developing them, and data scientists and engineering teams need to be ready to bridge this gap. Continue Reading
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Feature
05 Sep 2018
Music composed by AI breathes new life into video games
AI-generated music could help indie video game developers incorporate another element into procedurally generated worlds, making them more dynamic and lifelike. Continue Reading
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Feature
30 Aug 2018
IBM and AI: Researcher talks current and future projects
The goal of numerous IBM AI projects is to ultimately create programs to augment human skills and jobs, not to take jobs away from humans, an IBM researcher says. Continue Reading
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Feature
31 Jul 2018
Data science in healthcare demands dual focus, expert says
Symphony Post Acute Network is seeing success blending analytics for clinical and business operations, a change compared to how healthcare systems have traditionally used analytics. Continue Reading
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Feature
30 Jul 2018
Where the IBM Project Debater AI system may be headed
Unveiled during a live debate in June, IBM's Project Debater will be partially released in 2019 and could have real-life applications, particularly in education. Continue Reading
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Feature
20 Jul 2018
Data science tools of the trade fill skills gap
Data science tools are becoming more intelligent and better at understanding intent and context. But don't stop advertising that data scientist job on the web just yet. Continue Reading
By- Bridget Botelho, Editorial Director, News
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Feature
18 Jul 2018
AI for business operations starts to offer value
Businesses are starting to implement AI in operations to smooth out back-office processes and streamline repetitive tasks that currently take too much time for human workers. Continue Reading
By- Kathleen Walch, Cognilytica
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Tip
13 Jun 2018
On-device machine learning offers security, reduced latency
Where should IT process machine learning data? Mobile devices can now process machine learning, but it's important to evaluate all the options -- including the cloud. Continue Reading
By- Jack Gold, J.Gold Associates, LLC.
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News
30 May 2018
New data science platforms aim to be workflow, collaboration hubs
Oracle's acquisition of DataScience.com is shining a spotlight on workbench-style platforms designed to centralize advanced analytics work by teams of data scientists. Continue Reading
By- Craig Stedman, Industry Editor
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Podcast
13 Apr 2018
CTO Simon Crosby explains edge intelligence, talks AI uses and risks
Edge intelligence is the newborn child of edge analytics and machine learning. In this podcast, CTO Simon Crosby explains the tech and discusses AI uses, data breaches and more. Continue Reading
By- Bridget Botelho, Editorial Director, News
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Feature
21 Mar 2018
Slow pace for AI implementation is a prudent business strategy
Enterprises eyeing AI development need to keep expectations under control and make sure projects align with business priorities to get real value from the technology. Continue Reading
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Feature
08 Nov 2017
AI components make tools more than the sum of their parts
AI applications, rather than being one monolithic tool, are built around a diverse collection of tools and techniques that combine to produce advanced functionality. Continue Reading
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