Mouli Narayanan

As a technologist, entrepreneur, and innovator over three decades, Mouli Narayanan has started companies, raised capital, and developed strategic customers/markets in the areas of fintech, digital health, and data center technologies, and delivered on transformational technologies, including in IoT and AI. In various senior technology and innovator roles at JPMorgan and BearStearns, Mr. Narayanan has delivered on the most extensive grid computing system on Wall Street for quant, an award-winning brokerage workstation technology, a global order, and execution management technology that traded $4 billion notional daily, and a market-leading clearing platform integrating partners, on-prem and cloud technologies. As an entrepreneur, he won critical projects in clinical pharma by creating use cases using AI and digital biomarkers. Through Zeblok Computational, Mr. Narayanan wishes to truly democratize AI and enable every business, small and large, to create AI inspired digital assets to deliver impactful products and services to their customers. Mr. Narayanan’s deep-tech background spans high-performance computing, distributed and enterprise computing, GPU acceleration, messaging systems, cloud architectures, AI, and algorithms. He has published papers and holds a patent in enterprise messaging systems. He is an advisory board member in NSF CVDI and an advisory board member at Shenzhen IoT. Mr. Narayanan holds a Master of Science in Computer Science & Engineering from Penn State University.

ABSTRACT

Whether EdgeAI or EnterpriseAI - delivering an End-to-End Artificial Intelligence Solution is an Ecosystem play!

We are living in the era of digital transformation 3.0. Beyond the data, AI-driven insights on data are enterprise Digital Assets. It's the oil of the 21st century. And enterprises need to create shareable AI assets to deliver new innovative products for their customers, expand partner networks and establish new business models. AI algorithms are super-specialized. Multiple AI Independent Software Vendors (AI-ISVs) are needed to deliver a solution. It is further complicated by technology companies, such as hardware OEMs, CSPs, MSPs, and telcos wishing to participate in the AI ecosystem. Cloud technology exists in big data centers but not at the Multi-Access-Edge data centers (MEC). There is a need for an AI- MicroCloud. In the talk, we'll discuss why AI-API and AI-AppStores are essential for delivering use cases like SmartCities, and the enterprises need to embrace the AI-Ecosysteons.