In this special guest feature, Amy Brown, Founder and CEO of Authenticx, discusses speech analytics in healthcare. Organizations must listen and learn from patients’ voices to gather insights, customize their approach and facilitate change and growth.
Real-time, Real Value: 80% of Businesses See Revenue Increases Thanks to Real-time Data
KX and the Centre for Business & Economics (CEBR) have published ‘The Speed to Business Value’ an industry report showing the commercial and operational benefits to be gained by businesses adopting real-time data analytics technologies.
Using Basic Data to Improve Public Services
In this contributed article, Prahlad Koti, a Partner at Netcompany, examines exactly what we mean when we talk about basic data, and how its digitization can assist the public and private sector. The digitization of public services is at the very top of government agendas across Europe, but the lack of accessible and reliable data, such as core information about individuals and businesses, creates challenges for digital administration.
WEKA Unveils Industry’s First Multicloud Data Platform for AI and Next Generation Workloads
WEKA, the Data Platform for AI company, unveiled the fourth generation of its software-based solution that delivers first to market results with artificial intelligence (AI), machine learning (ML) and other next generation workloads via a single, scalable, highly performant platform for hybrid cloud and edge environments – now available in any public clouds of their choosing.
The World’s Most Ambitious Knowledge Graph
In this contributed article, editorial consultant Jelani Harper highlights how knowledge graphs have become one of the foremost expressions of Artificial Intelligence today. Almost everyone—from vendors to organizations, analysts to regulators—relies on these applications at some point to compile, harmonize, and scrutinize specialized business information.
insideBIGDATA Latest News – 6/14/2022
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.
End-to-End Automation – The Key to Optimize and Transform IT
In the past several years, assisting new business models through use of advancing new technologies helped reveal IT as a strategic function in the enterprise as opposed to an ordinary operational area. This process, however, came at a distinct organizational cost – additional workload to existing IT teams. We’re seeing substantial increases in IT operational activities due to extra service requests, cyberattacks and demand for new digital services.
Video Highlights: How to Optimize Deep Learning Models for Production
In the video presentation embedded below, our friends over at Neural Magic present a compelling workshop: How to Optimize Deep Learning Models for Production. After watching this video, you’ll be able to optimize your NLP and/or computer vision model, apply your own data with a few lines of code, and deploy it on commodity CPUs at GPU-level speeds.
Video Highlights: Data Theory in the World Seminar: How Data Drives Business Decisions
I was pleased to learn that my alma mater UCLA has taken a very innovative direction by creating a new Data Theory undergraduate major, a collaboration of the Mathematics and Statistics departments. The video presentation below is a recent panel discussion that explains the genesis of the new major “Data Theory in the World Seminar: How Data Drives Business Decisions.”
Don’t Call It A “Data Product” Unless It Meets These 5 Requirements
In this special guest feature, Barr Moses, Co-founder and CEO of Monte Carlo, believes data products can transform an organization’s ability to be data-driven as long as they meet 5 key requirements. Data products can transform an organization’s ability to be data-driven, as long as they are implemented correctly and in good faith.