Editor's note
Due to the rapid spread of COVID-19, IBM Think 2020 went digital. Fittingly, conference sessions and speakers covered ways to bolster the remote workforce and modernize IT digital infrastructures, including advanced cloud computing and back-end automation.
With the completion of Red Hat's acquisition last year, IBM is pushing toward open source infrastructure supported by individual toolkits, including its recently released AI Explainability 360 toolkit. IBM is also digging into advanced AI modeling with coverage of data streams, transparency and decision automation.
This guide reports on Red Hat's and Watson's latest developments as well as AI's role in speeding the transformation of the digital workforce in the wake of COVID-19.
1News from IBM Think 2020
Red Hat, Watson, digital transformation and COVID-19 issues dominated the news, events and product announcements reported by the editors of SearchEnterpriseAI from the virtual show floor of IBM Think.
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AI in digital transformation vital for enterprises
Without using AI, enterprises will not be able to compete effectively, according to the CEO of Box. Companies need to infuse AI into their digital transformation efforts now. Read Now
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IBM's Watson AIOps aims to help networks run smoothly
Launched during IBM Think 2020 amid the coronavirus pandemic, IBM's Watson AIOps aims to use AI to help CIOs more quickly and efficiently keep their networks running. Read Now
2Big Blue's AI and mainframe developments
Read about IBM's long trail of acquisitions, including Red Hat, its latest mainframe developments and Watson enhancements, and COVID-19's effect on the demand for COBOL programmers.
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Lower-cost IBM z15 mainframes add security for multi-clouds
Two new low-end IBM z15 mainframes and security software aim to help users better prevent internal attacks, as well as monitor workloads across on-premises and multi-cloud environments. Read Now
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IBM officially supports Red Hat Ansible for mainframe DevOps
IBM will support mainframe DevOps through mainstream distributed systems tools such as Red Hat Ansible and Jenkins, even when it has equivalent mainframe-specific products. Read Now
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IBM interprets machine models with AI Explainability kit
IBM's open source AI Explainability 360 toolkit packages algorithms and training examples to help humans better understand the decision-making process of machine learning models. Read Now
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IBM acquisitions may be best path back to the top
With internal AI and cloud projects such as Watson failing to deliver much revenue, analysts think IBM needs to acquire, not build, its way back to sustainable growth. Read Now
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COVID-19 unemployment claims up demand for COBOL programmers
There is an urgent need for COBOL programmers amid the COVID-19 pandemic that has devastated the U.S. economy and overwhelmed unemployment insurance systems in some states. Read Now