Trust in Digital Transformation: AI in the Enterprise

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Presented by

Matt Sanchez, CTO, CognitiveScale

About this talk

In the wake of the COVID-19 pandemic, our way of life is moving faster than ever, becoming digital in entirely new ways. Virtual and online interactions have become the new normal for professional and personal interactions. Industries like healthcare, banking, & retail are having to reimagine their entire supply chains. How can AI accelerate the digital transformation needed to address these challenges? What unintended risks come with automated decisions? In this session we will discuss these issues, why Trust As A Service is key to digital transformation, and how Cortex Certifai enables accelerated model deployment with trusted digital systems. In this session you will learn: - How AI will change the enterprise due to the impact of COVID-19. - Why trust in digital systems is more important than ever. - How solutions like Cortex Certifai tackle the 6 key dimensions of digital trust: Explainability, Fairness, Robustness, Data Risk, Performance, & Compliance. - About a common language to communicate between various stakeholders. - The application of organizational & domain policy to model risk & control. About the speaker: Matt Sanchez is the Founder and CTO, leading the development of CognitiveScale’s core products and infrastructure. He serves as the principal architect and product visionary for the company’s cloud-based cognitive applications across various industries. Recently, Matt was the leader of IBM Watson Labs and was the first to apply IBM Watson to the financial services and healthcare industries. Before joining IBM, Matt was Chief Architect and employee number three at Webify, which was acquired by IBM in 2007. Matt earned his BS degree in Computer Science from the University of Texas at Austin in 2000, has been granted six US patents, & is the author of more than a dozen more. Red Hat’s: www.redhat.com/en/about/privacy-policy CognitiveScale’s: https://www.cognitivescale.com/privacy-policy/
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