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From Numbers to Ratios to Vectors to Graphs

Welcome to Doug Bryan, SVP Data Products at Merkle, as a guest blogger. Doug has decades of software and data science experience including practice lead at RichRelevance, VP of Analytics at iCrossing, product recommendations lead at Amazon.com, R&D manager at Accenture, and lecturer at Stanford University. Doug provides background on the evolution of data structure […]

Current Conversations In AI: John Sowa

Kyndi Founder and CEO Ryan Welsh recently sat down with John Sowa, a Kyndi fellow and a fellow at the Association for the Advancement of Artificial Intelligence. John is the inventor of conceptual graphs, a formalism for knowledge representation originally designed to map language to logic. Welsh and Sowa discussed knowledge graphs and how they […]

AI is Poised to Transform Financial Services

By Martijn Rasser, Director of Analysis, Kyndi At first blush, the latest advances in artificial intelligence (AI) portend unprecedented disruptive change for the finance sector. The imminent widespread adoption of AI is better thought of, though, as a quick evolutionary spurt—a punctuated equilibrium—in a history spanning decades. The world of finance has long been a […]

Kyndi CEO Ryan Welsh Talks Data with Megan Hanley of Freedom Financial

In the latest installment of Current Conversations In AI, Kyndi Founder and CEO Ryan Welsh sat down with Megan Hanley, Chief Marketing Officer at Freedom Financial Network, to talk about her experience using technologies to drive data decisions, the AI “black box” problem, and more.

What is Explainable AI™?

Kyndi is building the first Explainable AI™ platform for government, financial services, and healthcare. When we say “explainable,” we mean that our artificial intelligence (AI) systems can justify the reasoning behind their conclusions and results, allowing the user to have full confidence in the system’s outputs. Achieving this level of trust is crucial for AI adoption in regulated […]

Holding Artificial Intelligence Accountable With Explainable AI™

A recent Washington Post article posed a question that has been the subject of much debate lately: “Should AI be required to explain its decisions?” At Kyndi, we believe this question is crucial, not only to the current state of the rapidly growing artificial intelligence industry, but also to the future adoption of this transformative technology. […]

Four Reasons Why Company Values are Important (Even for a Small Business)

By Amy Guarino, COO, Kyndi As a veteran of seven small businesses, including two IPOs (Marketo and iPass), a number of acquisitions, and one spectacular failure, I’ve learned the importance of agreeing on clear company values as early as possible in the history of the company. Based on my experience – much of it hard-earned […]

Five Steps to Use AI to Solve Business Problems

Last year, McKinsey asked a key question: “Artificial Intelligence is getting ready for business, but are businesses ready for AI?” During my business career, I’ve encouraged business leaders to “Think big, start small and just get going.” I believe that this approach is urgently needed in the AI and machine learning space for government and […]

AI Resources

Artificial Intelligence (AI) is poised to transform business processes as we know them. Organizations that fail to adopt AI risk falling behind. While interest in AI is widespread, many don’t know where to start. Below are a few resources that we recommend: The Innovators: How a Group of Hackers, Geniuses and Geeks Created the Digital […]

The Economist Underscores the Importance of ‘Explainability’ to the Future of AI

Kyndi is building the first Explainable AI™ platform for government, financial services, and healthcare. We firmly believe that explainability is a fundamental product requirement for intelligent systems.  Kyndi’s Founder and CEO Ryan Welsh has written extensively on the Explainable AI™ opportunity, including in this recent post.   We were thus very interested to see that […]

The Productivity Paradox

In 1987 Robert Solow, a Nobel prizewinning economist, famously remarked that “you can see the computer age everywhere but in the productivity statistics.”  The question he and others were asking was: Why is productivity growth low if information technology is advancing rapidly? In 2018, this “Productivity Paradox” has again become one of the hottest topics […]