Comprehensive software reviews to make better IT decisions
KenSci Wins Gartner and Microsoft Awards for Its AI-Powered Predictive Healthcare Platform
KenSci, an AI-powered provider of predictive solutions for hospitals and healthcare centers, has been named a cool vendor in the Gartner report “Cool Vendors in Enterprise AI Governance and Ethical Response” (October 2019). Earlier this year, the company was recognized by Microsoft as a finalist of their Health Partner of the Year Award and winner of the Health Information and Management System Society (HIMSS) Innovation Award, both for the second year in a row.
The three-year startup grew out of research at the University of Washington Center for Data Science and recently attracted $22 million in Series B funding. Its platform, powered by machine learning, is used by the CDC, Madigan Army Medical Center, Rush University Medical Center, the NHS in the UK, and other leading healthcare providers and payers to identify clinical, financial, and operational risks and to save costs and lives.
The platform is built using Azure Machine Learning, SQL, and Power BI. It ingests data across a range of sources, formats, and infrastructure, including wearables, medical devices, and legacy electronic medical records and claims. KenSci automates data integration for machine learning, runs on infrastructure-agnostic containers, and provides customizable apps as well as development tools and software development kits (SDKs) for clients to build their own apps. KenSci claims to provide return on investment in 12 weeks.
Courtesy: KenSci Platform Overview
The machine learning models used to power these apps seem to be able to generate explanations and provide transparency into what is usually supplied as a black box, which helps mitigate risk and ensure compliance and trust. Transparency and explainability are hot topics in AI and machine learning, especially in sensitive verticals such as healthcare. We congratulate KenSci on the awards and commitment to building transparent and explainable AI.
If you are a hospital or healthcare provider (or payer) looking to add data-led predictive insights to improve patient care, decrease risks, and improve operations, take a look at this smart start-up well-positioned for continued growth and success.
Q headlines a bevy of announcements at AWS re:Invent 2023 in Las Vegas that shed more light on the cloud service provider’s AI strategy and where its differentiation from other vendors lies.
Transparency, explainability, and trust are pressing topics in AI/ML today. While much has been written about why these are important and what organizations should do, no tools to help implement these principles have existed – until now.
Recently I attended the inaugural Emotion AI conference, organized by Seth Grimes, a leading analyst and business consultant in the areas of natural language processing, text analytics, sentiment analysis, and their business applications. So, what is emotion AI, why is it relevant, and what do you need to know about it?
SortSpoke’s novel approach to machine learning answers a longstanding problem in financial services – how to efficiently extract critical data from inbound, unstructured documents at 100% data quality.
Amazon is offering its cashierless store technology to other retailers. The technology known as “Just Walk Out” eliminates checkout lines, offering an “effortless” shopping experience and shifting store associates to “more valuable activities”.
As the COVID-19 pandemic is shutting down whole countries, a few of you may be wondering whether AI can help create a vaccine for the virus responsible. After all, AI is magic, right?
Alphabet is facing backlash from its shareholders over its approach to digital privacy, reports the Financial Times. And not for the first time. This time, however, things will need to change.
The EU plans to invest €6 billion to build a single European data space, reports EURACTIV. The envisioned space will house personal, business, and “high-quality industrial data” and create the infrastructure for data sharing and use across businesses and nations.
“Facebook quietly acquired another UK AI startup and almost no one noticed,” reported TechCrunch on February 10. We looked into why.