Could Unsupervised Learning be THE Key to Enterprise AI Adoption?

84% of Enterprise AI projects have not scaled – is supervised learning the problem? By Ryan Welsh, Founder & CEO, Kyndi Enterprise AI requires a new AI approach. That is our belief here at Kyndi, and that was a central theme at NeurIPS 2020, which was held virtually from December 6th – 12th. Among the AI […]

Explainable AI Isn’t Just About Explanations

By Ryan Welsh, Founder & CEO We created the Explainable AI category several years ago. Since then, it has become increasingly important. In early 2018, The Economist proclaimed, “For AI to thrive, it must explain itself.” In December 2018, a Bloomberg article cited an IBM survey that showed that a lack of explainability was the […]

Six Things We Learned at AI Summit 2019 – San Francisco

Last week, we joined 6000 attendees at the Palace of Fine Arts in San Francisco. A beautiful part of the city, albeit quite warm for San Francisco as the temperatures hit 90 degrees. Wanted to share our learnings from the week. 1) Great quote from the US CTO – Need to get AI right. “Our […]

Kyndi Adds $20m to Expand Team and Accelerate Growth

By Ryan Welsh, Kyndi Founder & CEO I’m thrilled to announce that we finalized our Series B funding for $20m, led by Intel Capital.  UL Ventures, PivotNorth, Pinnacle Peak, and all existing investors also participated. Intel’s Sunil Sanghavi joins our board. At Kyndi, our mission is to empower people to do their most meaningful work. […]

Understanding Explainable AI Concepts

As explainability has become a hot topic in the artificial intelligence (AI) community, confusion around the different concepts of explainable AI has surfaced. Right now, “explainable AI” is an umbrella term for several different types of explainability. Below are some of the sub-categories of explainability we are seeing offered today: Training Data Quality Management We’ve […]

Ethics and AI: SXSW Panel Recap

As adoption of artificial intelligence (AI) technologies has grown in recent years, so too have ethical concerns. AI today is too often a “black box,” unable to explain the reasoning behind its decision-making. If AI is to be used in critical situations such as criminal sentencing, loan approval, and defense, it must be transparent and […]

Three Reasons Why China Won’t Be the Next Global AI Superpower

By Ryan Welsh, Kyndi™ Founder & CEO Recently there have been increasing assertions that China will become the world’s artificial intelligence superpower because it has the most data. Most recently, Kai-Fu Lee was on 60 Minutes asserting this by saying “China’s advantage is in the amount of data it collects.” He’s wrong. First and foremost, […]

Six Key Takeaways from AI Summit New York

Kyndi™ was an exhibitor at this week’s AI Summit NY. We appreciated the feedback we received from organizations looking to leverage artificial intelligence (AI) and learned more about the types of challenges they are facing. Here are our top takeaways from the conference: 1. Ethics and Bias. As adoption of AI technologies in the enterprise has grown, so […]

Kyndi™ CEO Ryan Welsh Chats with John Furrier of theCUBE

At Kyndi™, we believe that explainability is a fundamental requirement for artificial intelligence (AI) technologies. The ability for a system to explain the reasoning behind its decision making is critical, especially in regulated industries such as government and financial services. Recently, Kyndi™ CEO Ryan Welsh had the opportunity to sit down with John Furrier, co-host […]

Explainable AI and Beyond: Fujitsu Panel Session Recap

Despite amazing strides in recent years, artificial intelligence (AI) continues to struggle with a “black box” problem. As AI adoption grows in regulated industries, so too does the need for the technology to be transparent and explainable. Last week’s Fujitsu Advanced Technology Symposium focused on this issue, with the theme being “Make AI Trustworthy! Explainable […]

What’s all the Fuss about the Challenges of Deep Learning?

The hype around Deep Learning is at an all-time high, but is it justified? While it excels at tasks such as image recognition and language translation, Deep Learning is not without its limitations. Earlier this year, Gary Marcus (http://garymarcus.com), scientist, author and CEO/Founder of Geometric Intelligence (recently acquired by Uber), discussed the 10 challenges for Deep Learning […]