As a Senior Analyst for the Data Platform and Analytics team, Krishna Roy is responsible for the coverage of self-service analytics, predictive analytics and performance management.
Prior to joining 451 Research, Krishna held a number of positions as a journalist in London and the US, including several years writing for Computergram International. She was also an Assistant Editor at the monthly magazine IBM System User, which focused on IBM software and hardware. In addition, Krishna spent three years covering M&A activity throughout Silicon Valley and was a founder of M&A Impact, a newsletter highlighting M&A activity in the software industry.
Krishna holds a 1st Class Honors Degree in English Literature and American Studies.
Artificial intelligence is being infused into business intelligence to enable organizations to analyze their data in fresh and easier ways. But while the marriage of AI and BI is broadly beneficial, it can come with challenges.
The company has unveiled a series of forthcoming enhancements to its BI platform, which is delivered as a multi-tenant cloud service and positioned as an operating system for business decision-makers to run their business on a phone. Domo could also follow through on a longtime goal to go public this year, which would be a significant fillip for the firm, and cloud BI at large.
The startup is looking to expand its presence in the cognitive-based decision-making sector by serving up an unsupervised artificial intelligence platform for analyzing large volumes of text using a deep-learning-based approach.
The startup is seeking to rethink BI by providing business personnel with daily analysis in the form of four or five important insights that they wouldn't know or would find impossible to locate in very large volumes of structured data.
The company is freshly funded and seeking to automate all aspects of business analytics with the goal of reducing the complexity involved in delivering insights to C-level executives, senior VPs and other personnel in the front office of an enterprise.
The company seeks to better support enterprise AI by addressing some of the major pain points early adopters have experienced, such as the challenge of making enterprise data ready for AI and managing AI development. IBM has unleashed cloud services as well as a consulting package with these issues in mind.
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