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Blog
AI democracy, hybrid clouds top IBM Think takeaways
IBM's extension of its Watson AI services beyond the IBM Cloud to users on other cloud platforms impressed IBM Think attendees, but is it ready for enterprise use? Meanwhile, IBM's hybrid cloud and ... Read Now
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Article
IBM's Project Debater loses debate but shows off AI prowess
While Project Debater, the IBM AI debate system, lost the live IBM Think 2019 debate, it impressed those who watched the event. Maybe next time, Debater. Read Now
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Article
IBM Watson OpenScale: AI control, monitoring for any cloud
OpenScale, a new IBM AI product, enables organizations to monitor their AI models. Global services provider KPMG is using OpenScale to help power its own AI monitoring tool. Read Now
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Blog
Five cloud migration themes at IBM Think
The IBM Think conference will provide insight into Big Blue's current and future cloud agenda, which now focuses on private and multi-cloud scenarios. Like many legacy IT vendors, IBM has struggled ... Read Now
Editor's note
Like other top IT vendors, IBM has made AI and advanced analytics a cornerstone of its technology strategy, along with the data management systems that drive analytics applications. Data and AI analytics will also be at the heart of the IBM Think 2019 conference in San Francisco.
AI tools in particular are getting a big push from IBM and rivals. Whether the hype matches current enterprise IT reality remains to be seen. In a recent Q&A, Babson College IT professor Tom Davenport said he thinks AI "will be revolutionary in the long run, but it's pretty evolutionary in the short run."
IBM will make the case for its AI and analytics technologies at Think 2019. Follow our coverage of the event here.
1Analytics and AI technology developments
The launch of the Watson cognitive computing system early this decade signaled an expansion of IBM's analytics strategy in general and an increased focus on AI technologies in particular. This section covers new developments in data and AI analytics at IBM Think 2019 as well as related steps and planned initiatives.
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Blog
AI democracy, hybrid clouds top IBM Think takeaways
IBM's extension of its Watson AI services beyond the IBM Cloud to users on other cloud platforms impressed IBM Think attendees, but is it ready for enterprise use? Meanwhile, IBM's hybrid cloud and ... Read Now
-
Article
IBM Watson OpenScale: AI control, monitoring for any cloud
OpenScale, a new IBM AI product, enables organizations to monitor their AI models. Global services provider KPMG is using OpenScale to help power its own AI monitoring tool. Read Now
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Article
IBM's hybrid cloud plans extend AI to users across platforms
IBM doubles down on its hybrid cloud strategy with tools to help customers funnel data through their chosen cloud platform and apply IBM's AI to it all. Read Now
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Article
IBM's Project Debater loses debate but shows off AI prowess
While Project Debater, the IBM AI debate system, lost the live IBM Think 2019 debate, it impressed those who watched the event. Maybe next time, Debater. Read Now
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Article
IBM Project Debater crowdsources to boost its AI, NLP skills
Project Debater, an IBM AI system, creates viewpoints with the help of people who type in arguments on topics. That may also help drive future business uses. Read Now
2Data management technologies and issues
As analytics becomes more central to business decision-making in companies, new data management technologies -- and challenges -- are emerging. This section examines some of those technologies and the evolving issues faced by data management teams, including changes in data architecture and data governance processes.
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Article
IBM sales strategy enlists users as product partners
Big Blue's decision to revert to an old IBM sales strategy -- selling products and co-creating packages with users -- could better position the company in hybrid cloud and AI markets. Read Now
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Blog
Five cloud migration themes at IBM Think
The IBM Think conference kicks off next week but a close read through its session catalog gives some insight into Big Blue’s current and future cloud agenda, which now focuses on private and multi-cloud scenarios. Read Now
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Article
IBM Weather Channel location data use spurs privacy concerns
IBM CEO Ginni Rometty pushed real-time weather data mining for travel and other uses, even as the Los Angeles city attorney is suing IBM's Weather Company unit over its sharing of location data with business partners. Read Now
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Article
Mendix deepens native integration with IBM Cloud, Watson AI
IBM cloud users gain low-code options, as Mendix's re-engineered platform natively integrates with IBM Cloud services, particularly Watson AI and Kubernetes container orchestration. Read Now
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Article
IBM renews code challenge to stress-test open source projects
IBM's Code and Response challenge builds on last year's Call for Code to apply open source development efforts to actual natural disasters. Read Now
3General AI, analytics and data management trends
In addition to tracking what happens at IBM Think 2019 involving Big Blue's products, analytics and data management teams need to know about broader technology and deployment trends. This section features emerging technologies and processes that are expected to play a bigger part in AI, analytics and data management during 2019.
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Article
The future of AI technology: 2019 and beyond
Enterprise AI trends in 2019 will likely include more AI-powered tools for healthcare and fintech, as well as accelerating consolidation among smaller AI vendors. Read Now
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Article
AI winter is coming? Not this time, Tom Davenport says
A new AI winter, or downturn, is unlikely, even if the current slew of inflated expectations surrounding AI predicts inevitable disappointment, analytics expert Tom Davenport says. Read Now
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Article
Analytics trends we'll see in 2019
BI and analytics software looks to evolve further in 2019, as tools will keep getting easier to use and more AI-powered technologies will augment user experiences. Read Now
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Article
Data management trends for 2019: Governance, DataOps, cloud
Better data governance, increased cloud use and wider DataOps adoption head the list of trends for data management teams to plan for in 2019, IT analysts say. Read Now