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AI integration News
June 04, 2019
IBM's new Db2 release adds a host of AI-powered enhancements, including a range of automated error reporting capabilities and tools to more easily create AI algorithms.
May 08, 2019
A new Google Firebase update simplifies machine learning app development. The update is part of a trend of making machine learning more accessible for developers to create and deploy.
April 29, 2019
Transportation and logistics companies are eying an ever expanding role for AI in their products and services, ranging from safer cars to prompter shipments.
April 19, 2019
Enterprises are having a hard time hiring data scientists, who are scarce and high-priced. But as edge devices get smarter, they may not need them as badly.
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Social robot definition: A social robot is designed to interact and collaborate with humans and other robots. Continue Reading
Enterprise AI collaboration is turning to an unlikely source for inspiration: dating apps that have long used machine-learning based personalization and communication. Continue Reading
Data science platforms include a variety of technologies for machine learning and other advanced analytics uses. This handbook examines them and how they can be used. Continue Reading
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In enterprise AI, bot technology is leading the charge. Seamless integration and process streamlining are initial benefits, but the true profit lies in what comes next -- auto-AI. Continue Reading
Gaining a reputation as a viable technology in niche applications like X-ray scans, fingerprint matching and robotics, computer vision looks to mainstream, commodified apps. Continue Reading
As AI spreads into most enterprises, it's imperative that devices or programs can make immediate smart decisions. Localized AI at the edge is aiming to tackle the lag. Continue Reading
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Professional services and consulting firms are adopting AI at a rapid rate, even though these types of jobs, which mainly focus on interpersonal interaction, may not seem like strong targets for automation. Continue Reading
Past generations have had to deal with rounds of inflated expectations and crushing disappointment when it comes to AI. This timeline charts the history of AI's rises and falls. Continue Reading
By reusing the data collected for AI algorithms and the insights they generate, enterprises can boost employee performance and improve business processes. Continue Reading
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Berklee College of Music needed intelligent integration for its two student portals after a merger with the Boston Conservatory. The college chose SnapLogic to connect the systems. Continue Reading
Many enterprises think their AI projects should start with massive amounts of data. But clean data for machine learning should be their first step toward AI. Continue Reading
The race to attain artificial general intelligence is on. Ranging from predictions of 10 to 200 years away, the one thing experts can agree on is that common sense AI is the next step in the journey. Continue Reading