IBM CEO Arvind Krishna said that digital transformation has been accelerated during the COVID-19 pandemic and ultimately "every company will become an AI company." Krishna, speaking during a keynote to kick off IBM's Think Digital 2020 conference, reiterated comments made on the company's most recent earnings conference call. IBM's virtual conference includes curriculum and sessions grouped by topics such as quantum computing, cybersecurity, cloud computing, remote work and AI. While it wasn't surprising the Krishna outlined IBM's AI tools to manage IT infrastructure as well as hybrid cloud and edge computing products with Red Hat, the CEO outlined how he wants the company to evolve. What is artificial general intelligence?
IBM Chairman and CEO Arvind Krishna says that the company's latest investments have IBM poised to continue with capturing cloud share. In a new letter to investors, Krishna outlined areas where IBM has invested in hybrid cloud and artificial intelligence and discussed how the company is driving growth going forward. Ultimately, IBM "is positioned to lead as we enter the era of hybrid cloud and AI," Krishna said. "Every company in every industry wants to build a much stronger digital foundation to fundamentally change the way its business works," Krishna said in the letter. "There is no going back. In the next two to three years, we expect to see digital transformation at a rate that, before 2020, we thought would take 5 to 10 years."
One of the most crucial and knowledge-intensive steps of patent examination is the determination of prior art -- evidence that the idea claimed by a patent is already known. Automated prior art retrieval algorithms, if effective, can assist expert examiners by identifying literature that would otherwise take substantial research to uncover. Our approach is to build a patent search algorithm which functions as a cognitive as-sistant to the patent searcher. Contrary to the approach of treating the search algorithm as a black box, all components of the search algorithm are explained, and these components expose controls that can be adjusted by the user. This level of transparency and interactivity of the algorithm not only enables the experts to get the best use of the tool, but also is crucial in gaining the trust of the users. In this paper we discuss the engineering of the cognitive assistant search tool, referred to as Sigma, and the various interactions it affords the users. The tool is currently being piloted to patent examiners in the unit 2427.