Accure is opening the world of machine learning, cognitive science and artificial intelligence to the people who make a difference.
Our platform and data science team support the development of smarter cities, social media monitoring to prevent bullying,
energy efficiency and higher quality healthcare at lower costs.
The possible applications of machine learning are limitless, yet the talent pool of data scientists capable of producing machine
learning applications is severely constrained. Our machine learning platform, coupled with a rigorous training regimen, integrated
applications and consulting team can manifest domain-specific machine learning applications rapidly and efficiently.
Every sector, domain and industry, including healthcare, financial services, transportation, manufacturing, marketing and government,
has the opportunity to improve results by applying machine learning. Accure will support the development of domain-specific applications
on a membership-services model.
Participating corporate members will propose useful applications and provide data sets to train machine learning algorithms.
Data scientists and programmers will be rewarded for building the domain-specific applications.
Applications developed for the platform will be available to all corporate members as part of an annual subscription fee.
Featured video: Teaser video for our machine learning application that amplifies messages and responds to queries on social media.
Visit our YouTube channel for more.
Because our materials describe a security token or pre-sales security being offered under several SEC’s exemptions,
you will be directed to the document repository appropriate for the status of your accreditation and verification.
30 years’ experience within the telecommunications, computing, software and services. Former Nortel Networks as President of Enterprise Sales and Strategic Advisor for Wipro focused on the Vodafone global account.
Accure President and CEO. Technical expertise in the area of big data, cognitive science, and machine learning. Previously worked as the principal architect and director of engineering at Apixio building big data analytics platform for healthcare. Co-authored four US patents in the area of big data healthcare analytics. He also worked at IBM.
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