In this special guest feature, Ryan Welsh, Co-founder and CEO of Kyndi, discusses how organizations are leveraging the latest natural language processing techniques to enable sophisticated natural language understanding. Ryan started Kyndi in 2014 with a vision of creating a world where AI would empower humans to do their most meaningful work. Under his leadership, Kyndi has created the natural language enablement category, offering a powerful Natural Language Enablement Platform and natural language-enabled solutions. Ryan received his B.A. in Anthropology from The Catholic University of America, his M.S. in Applied Math/Economics from Rutgers University, and an M.B.A. from the University of Notre Dame. According to Deloitte, as much as 80% of all information is hidden in unstructured, text-based data living in various systems inside and outside of the companies.

Analyst house Gartner, Inc. has released its newest research highlighting four emerging solution providers that data and analytics leaders should consider as compliments to their existing architectures. Cool Vendors in Enterprise AI Governance and Ethical Response features information on startups that offer some disruptive capability or opportunity not common to the marketplace. Gartner analysts Van Baker, Saniye Alaybeyi, Alys Woodward, Svetlana Sicular, Erick Brethenoux, and Jim Hare compiled the materials for this report. Solutions Review's editors have read the complete report, which is available here, and want to take the opportunity to provide a brief, independent introduction to each of the cool vendors listed. Though Gartner's process for selecting Cool Vendors is somewhat mysterious, we believe our unique view of the space can help you to better understand how these analytics solutions will fit into the marketplace as time goes on.

The use of artificial intelligence and machine learning is almost commonplace in the biotech and pharma industry as multiple companies are harnessing the power to aid in drug discovery and development. This week more companies have announced advancements in their AI programming. This morning, San Francisco-based Notable Labs announced it secured $40 million in a Series B funding round to use its artificial intelligence platform to advance cancer drug development. The company's approach is aimed at predicting which types of patients are most likely to respond to a drug in as little as five days. The process is designed to help physicians make more informed decisions about which clinical trials will be effective with patients and can also benefit the likelihood of a trial's success by matching the right patients to the right trial.

Kyndi, an artificial intelligence startup building the first explainable AI platform, has secured$20 million in Series B funding to expand the company's engineering and sales teams to meet growing customer demand in government, financial services and life sciences. The round was led by Intel Capital, with participation from UL Ventures, PivotNorth Capital, and existing investors. Kyndi was founded in 2014 by Arun Majumdar, Paul Tarau, Ryan Welsh, and Shafe Ramsey. The Sillicon Valley-based startup is building the first Explainable AI platform for critical government and commercial institutions. Kyndi transforms business processes by offering auditable AI solutions.

For the past five years, the hottest thing in artificial intelligence has been a branch known as deep learning. The grandly named statistical technique, put simply, gives computers a way to learn by processing massive amounts of data. Thanks to deep learning, computers can easily identify faces and recognize spoken words, making other forms of humanlike intelligence suddenly seem within reach. Companies like Google, Facebook and Microsoft have poured money into deep learning. And the technology's perception and pattern-matching abilities are being applied to improve progress in fields such as drug discovery and self-driving cars. But now some scientists are asking whether deep learning is really so deep after all.

There are a lot of big new areas in technology that have grown to immense popularity. Blockchain, cryptocurrency and artificial intelligence easily fit that bill. It seems that from CES to SXSW and every event in between we saw hundreds of companies in these industries using big buzz words and talking in their own little industry cliques about how they will dominate the world. But history in technology has shown one thing… They won't. That's why with crypto and blockchain we like companies like BeeToken and in artificial intelligence we like companies like Kyndi.