Understand how Persistent helps you interpret the reasoning behind your AI output.
The inability to interpret decisions made by AI systems is a major barrier to its widespread adoption. From serious regulatory mandates to customers demanding increased transparency, businesses need the ability to investigate AI model behavior and explain AI-driven decisions.
We help you unlock and understand AI decisions and predictions. We develop interpretable AI systems from scratch to identify and fix model bias, model drift, and other disparities. Our solutions enable you to build trust with users and enhance transparency through layman explanations of the decision by ML models.
Persistent’s machine learing algorithms reduce diagnosis time by 70%, accelerating LungLife’s efforts to greatly reduce the impact of the disease.
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Accelerate time to value with ready-to-use solutions for natural language processing, predictive analytics, document analytics, cognitive search, and more that are delivered as a composable digital mosaic.
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Jiani Zhang is President of the Alliance and Industrial Solution Unit at Persistent Systems. Prior to this role, Jiani was the General Manager of Industrial Sector for Persistent Systems. Jiani has extensive experience in management consulting, marketing, product development and technology management. She also holds expertise in building and growing a business with P&L responsibility and leading teams in business strategy, offering & product development, go-to-market, and sales execution. Prior to Persistent, Jiani has also served as Director of Offering Management for IBM Watson IoT Platform and Head of Offering Strategy for IBM Industrial IoT where she pioneered the creation of the Industrial Analytics/AI IoT solutions.
Vice President, Principal Analyst Serving CIO Professionals
Jeffrey helps CIOs and digital leaders succeed by working with them to improve their software delivery capability and by helping them assess the relevance of emerging software technologies. As a 25-plus-year software industry veteran, he’s helped clients improve their development shop culture, apply Agile and continuous delivery best practices, and build successful developer ecosystems. Jeffrey’s been a developer; managed development teams; built award-winning commercial development tools; and, over the past decade, has helped Forrester clients navigate mobile, cloud, IoT, DevOps, and low-code technologies and tools.
Previous Work Experience
Jeffrey has been with Forrester since 2006. Prior to joining Forrester, Jeffrey worked at IBM, Rational Software, and was part of Accenture’s Advanced Systems Group.
Education
Jeffrey holds a B.S. in economics from the Wharton School at the University of Pennsylvania.
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