Category Archives: AI Enterprise
Cinchy Aims to Make Dataware a New Market Category
A data-centric approach to help manage the data tsunami. Read more
AI and Product Management in the Data Business
Managing data with AI-powered automation and data product managers. Read more
How to Succeed in the Future of Work?
Verbit’s technology foundation, its global community of freelancers, and its mass customization strategy are the three features of Verbit’s future of work model. Read more
Predictive Maintenance AI for Data Centers
CDS announced Nebula, a machine learning program for predictive maintenance, improving the management of data centers and IT infrastructure. Read more
The State of Data, May 2021
Data is eating the world, byte after byte after byte. Read more
AnyClip Raises $47 Million
Visual intelligence company AnyClip raised $47 million to help businesses manage their video assets and consumers to find the video clips they need. Read more
AI by the Numbers: 84% of Americans are worried about data collection for Covid-19
Recent surveys, studies, forecasts and other quantitative assessments of AI highlight the current state of adoption of AI by enterprises worldwide, the future of deep learning, and consumers’ attitudes regarding Covid-19 contact tracing. Read more here
AI by the Numbers: Mixed Results for Enterprise AI
Recent surveys, studies, forecasts and other quantitative assessments of AI highlight the mix results of implementing AI in the enterprise; the increased adoption of Robotic Process Automation (RPA) and Work From Home (WFH) practices as a result of Covid-19; and … Continue reading
AI by the numbers: The impact of automation on jobs
Recent surveys, studies, forecasts and other quantitative assessments of AI highlight the number of manufacturing jobs eliminated by robots; why robots could replace financial analysts; the very small number of organizations not evaluating or using AI today; and the debate … Continue reading
What Happened to AI in 2019?
After years in the (mostly Canadian) wilderness followed by seven years of plenty, Deep Learning was officially recognized as the “dominant” AI paradigm and “a critical component of computing,” with its three key proponents, Geoffrey Hinton, Yann LeCun, and Yoshua … Continue reading