An AI-Driven Approach to Managing an Explosion of Data Alongside Data Privacy Concerns | Abhi Sharma, Relyance AI

As software development accelerates, it's becoming increasingly challenging for legal, security, and IT teams to track personal data flows. Manual workflows like forms and meetings can leave them in the dark, putting user and customer trust at risk. That's where Relyance AI comes in. Their machine learning technology builds a dynamic, real-time data inventory and map to monitor how personal data moves through code, applications, infrastructure, and third-party vendors.   On this episode, we're joined by Abhi Sharma, Co-Founder & Co-CEO of Relyance AI, a company that leverages machine learning to track personal data flows in real-time. Abhi is a tech entrepreneur and machine learning expert with a passion for driving change and innovation in the industry. He shares his background and experience building and marketing products involving compilers, large-scale data processing, machine learning, and observability tools. Abhi also explains how he applied metamodeling and machine learning to tackle the problems at the intersection of different domains, leading to the creation of Relyance AI.   If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development.    Founder Bio:    Abhi is a 2X tech entrepreneur and machine learning expert. He spent most of his career building tech and go-to-market for products involving compilers, real-time/large-scale data processing, machine learning, and observability tools for continuous visibility into data flows. Given his work in compilers, Abhi became obsessed with simplifying the expressibility of data-processing intent while automatically synthesizing data types, computation intent, call graphs, and data flows in applications and machine learning models. In 2019, he started advising first-time founders on product/go-to-market and was a technologist-in-residence in venture capital. During this time, he was actively exploring how extreme domain specializations in various industries could slow down the speed of innovation, cross-pollination of ideas, and thus human progress overall.    Show Notes:   02:26 Applications and entrepreneurship background 05:25 Different applications of machine learning on previous startups 07:11 How Relyance founded a solution to a privacy problem 09:23 Exploring the challenges of privacy and data governance 11:25 Addressing the challenges of data privacy compliance 15:35 Regulatory penalties faced by tech companies 17:53 Discussion on the growing importance of data privacy regulation 21:01 Privacy regulatory enforcement and Relyance solution to assist customers 24:34 Challenges of building a privacy program 29:32 Benefits of machine learning for data protection compliance 32:46 Leveraging public data and machine learning to provide timely value 36:01 Relyance AI foundational modes and defensibility strategies 41:04 Attracting top talent in AI/ML and hiring for data science and machine learning projects 46:57 How to get in contact with the Relyance team   Resources: Company website: https://www.relyance.ai/ LinkedIn: https://www.linkedin.com/company/relyanceai/ Twitter: https://twitter.com/relyanceai