2016 Artificial Inteligence Report Technical Review 
Paul Hobcraft
OCTOBER 17, 2019
Everywhere you turn, you stumble across reports on one aspect or another of the energy transformation we are undertaking. Technology innovation, suggested new business models, outline proposals for changing policies, processes, and market design all are being “sketched out.”
hackerearth
NOVEMBER 30, 2017
The 2018 Gartner CIO Agenda Survey demonstrates that technological innovation and digitalization are changing the way CIOs work. Of the CIOs surveyed in India, 51 percent reported that they were heading innovation, whereas 49 percent reported that they were leading digital transformation. billion on technology in 2016.
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Yet2
MAY 10, 2018
Artificial intelligence (AI) is poised to change how we work, play, and live, but it may not change things nearly as quickly or as impressively as today’s hype claims it will. The reality is that AI, machine learning (ML), and deep learning (DL) capabilities today lie somewhere in the middle.
hackerearth
APRIL 25, 2018
Innovative healthcare technologies can help optimize health services, reduce threats to public health, make the diagnosis of life-threatening diseases more efficient, offer effective clinical services, and facilitate communication between doctors and patients. The lenses were projected to begin testing in 2016. Source: Nexeon.
Paul Hobcraft
NOVEMBER 22, 2016
A recent Altimeter report “ the 2016 State of Digital Transformation ” discusses these problems, along with many others. So that you are aware, the data and insights in this report are based on the input of more than 500 digital transformation strategists and executives who are leading change within their organizations.
Acuvate
MARCH 12, 2019
According to the Harvard Business Review , data-driven decision-making practices are on the rise. BI and analytics tools that require all users to be tech-savvy, limit user adoption. Business users again have to depend on IT or MIS teams to generate reports or access insights. is predicted to swell to $9.4 billion by 2020.
Idea Drop
SEPTEMBER 28, 2017
Our Corporate Team is looking at machine learning software for large-scale document review for due diligence, and our Construction Team is looking at a combination of machine learning capable software, and also contract automation for the review of low-level contracts for clients, and delivery of automatic reports.
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