The Silicon Review
Many businesses are just discovering the benefits of Self-serve Business Intelligence and establishing Data Democratization initiatives but, as every business manager and team member knows, business markets and competition move rapidly and yesterday’s Business Intelligence initiatives are morphing into Advanced Analytics efforts. As businesses consider the transition, it is important to understand the advantages of Advanced Analytics. When an enterprise chooses to implement Self-serve Advanced Analytics, it encourages user empowerment and user adoption. It also enables data sharing and allows the organization to produce fast, dependable insights and improve the value of business analysis across the enterprise, democratizing the use of Advanced Analytics and augmented predictive tools among business users.
Virtualitics, Inc. is an advanced analytics company that helps enterprises and governments make smarter business decisions, faster with ready-to-use AI that can be understood–by analysts and business leaders alike. Its AI platform allows organizations to rapidly process complex data into powerful multi-dimensional graph visualizations, and predict future business outcomes with clear, explainable no-code AI modeling. Virtualitics puts AI into use across the enterprise with enhanced analytics that’s easily integrated into the flow of work. The company's patented technology is based on over 15 years of research at the California Institute of Technology and NASA Jet Propulsion Laboratory. The platform has been deployed across Department of Defense agencies, Federal Civilian agencies, and enterprise companies.
Robust Advanced Analytics Solutions Offered
Virtualitics AI Platform: It provides AI-driven insights that are easy to understand, interpret, and trust by analysts and business stakeholders alike. Give everyone the power of business intelligence-infused decisions to drive improvement across the enterprise. Users can work together to explore insight and share findings across the business to create change that makes a difference. You can predict the impact of change using machine learning to test the impact of new actions based on those of the past. Visualize the hidden relationships in your data—no matter how complex and vast the data set—and find the potential. Interact with the insight generated by AI and machine learning and see the results from a different perspective. Give people on the front lines prescribed insight on what needs to be done and one-click action points to do it. Skip the heavy lifting and leverage proven AI to jump right into using the networked insight from your data set. Seamlessly integrate best-in-class machine learning and visualizations into your existing processes and tech stack.
Industry 4.0: The power of applying machine learning to industry lies in the ability to leverage data in ways the human brain cannot accomplish alone. For the industrial sector to take advantage of machine learning, it requires historical and live data collection from various streams, aggregation of data from disparate sources, and integrated platforms for data analysis and 3D visualizations. With Virtualitics, get proactive analytics that simplify the complexity of your operations and help you keep things running smoothly, delivering quality products on time and without costly inefficiencies.
Financial Services: Be ready to act with AI-assisted analysis of huge volumes of data, regardless of source of format, enabling your people to take the right action—to keep troops safe, optimize logistics, secure networks, and more. Increase your customer satisfaction and reduce your risk exposure with advanced analytics that provide direction–on meeting customer needs, applicant screening, portfolio monitoring, and more.
The Pre-Eminent Leader
Michael Amori is a co-founder and the Chief Executive Officer of Vitualitics, Inc. He is a data scientist and entrepreneur with a background in finance and physics. He co-authored many of the patents underpinning the Virtualitics AI platform. He believes that AI applied to data analytics can help solve some of the world’s toughest challenges.
Prior to co-founding Virtualitics, he was a Managing Director at Deutsche Bank, where he started and headed a data driven trading desk in London, New York, and India focused on the insurance and pensions markets and managed a large group of data scientists. Designed the group’s predictive modeling and risk management systems. Started and was technical advisor to the bank’s first insurance-linked fund. Previously was an interest rates derivatives trader at various large banks. He graduated from the Goldman Sachs analyst program. Michael was also a researcher in nanotechnology at Caltech, where he contributed to two papers and obtained one patent. The patent is related to a quantitative method for determination of target molecules in the context of nanotechnology devices applied to medical research.
Michael is interested in science education, especially for early childhood, to reduce inequality. He is a member of the Board of Caltech’s Computer Science Department (IST division), a member of the Board of the Pasadena Math Academy, and judge at the LA County Junior High Physics Science Fair. He was a member of Caltech Children’s Center Board. He has an MBA from Harvard, an MS in Applied Physics from Caltech, and a BS in Physics with honors from Columbia University.