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Head of Technology Research
UK
+16 years experience
IT, Enterprise Decision Maker
By Tom Pringle 16 Apr 2019
It is important for organizations adopting AI-powered capabilities based on labor-saving business cases to specifically address how they will upskill and redeploy the employees affected.
IT, Enterprise Services, Enterprise Decision Maker
By Tom Pringle 08 Apr 2019
Joining advisory business SoftServe’s analyst event in New York City one message stood out above all others – innovation backed by some 25 years of software engineering capability is at its core. Innovation is not just for SoftServe clients; however, the business has carefully engineered its own organization and approach to talent to better serve its markets.
IT, Enterprise Decision Maker
By Tom Pringle 12 Mar 2019
Hot on the heels of Qlik's acquisition of Crunch Data, Qlik announced that it had entered into a definitive agreement to acquire data management and integration vendor Attunity.
IT, Enterprise Decision Maker
By Tom Pringle 06 Mar 2019
Hierarchies of control and management within software are standard fare today, with programs managing programs. Expect it to happen soon in AI – bringing together and compounding many small returns into bigger, more valuable opportunities for transformation.
IT, Enterprise Decision Maker
By Tom Pringle 22 Feb 2019
During January 2019, Qlik announced that it had acquired Crunch Data. Crunch Data's AI bot, CrunchBot, brings conversational analytics to Qlik's customers – helping to open up analytics to a whole new user audience.
IT, Enterprise Decision Maker
By Tom Pringle 22 Jan 2019
The critical role that data management technology plays in enabling enterprises' business priorities is still less than well understood.
IT, Enterprise Decision Maker
By Tom Pringle 20 Nov 2018
The ethics of AI is an emerging area of growing importance as we automate an ever-expanding amount of work.
IT, Enterprise Decision Maker
By Tom Pringle 15 Oct 2018
The infusion of artificial intelligence (AI) into an ever-growing range of enterprise applications is the “bottom-up” approach to building the data-driven enterprise, tackling persistent skills gaps, but the importance of a “top-down” approach, including enterprise-wide data governance, must not be forgotten.
IT, Enterprise Decision Maker
By Tom Pringle 09 Oct 2018
Growing mounds of unstructured data contain hugely valuable insights yet are largely ignored by BI and analytics programs within enterprises. It’s time for this to change.
IT, Enterprise Decision Maker
By Tom Pringle 29 Aug 2018
As analytics and artificial intelligence capabilities are baked into an ever-growing range of enterprise applications and the need to squeeze value from data investments grows, enterprises will be forced to be data driven.
IT, Enterprise Services, Enterprise Decision Maker
By Tom Pringle 05 Jun 2018
The enterprise reality of AI is both less terrifying and more enriching for enterprises who adopt it: a labor-saving, outcome-improving technology that enables productivity gains.
IT, Enterprise Decision Maker
By Tom Pringle 30 Jan 2018
Getting checks signed for data management work has never been easy. Even in situations where requests were driven by compliance requirements, the response has often been resigned acceptance instead of enthusiastic approval. However, the rationale for making these investments is growing ever stronger.
IT, Enterprise Services, Enterprise Decision Maker
By Tom Pringle 26 Oct 2017
Enterprises must bring prior investments in IT along for the digital transformation ride, and there is an obvious catalyst and vehicle to help achieve this journey: the cloud.
IT, Enterprise Decision Maker
By Tom Pringle 20 Sep 2017
Artificial intelligence, as the flavor du jour, is overly hyped and often discussed in impenetrable technical terms. This has created confusion around a technology that promises to be the next revolution in productivity.
IT, Enterprise Decision Maker
By Tom Pringle 12 Apr 2017
At its European analyst day in London, Salesforce focused on its recent product announcements surrounding Einstein, its foray into artificial intelligence (AI). Two things make Einstein particularly interesting: the platform approach, which creates the possibility of infusing AI into each of the vendor's cloud solutions; and what Salesforce believes are its differentiating features – its customers' large data volumes, and application integration.
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