Talk to Data: Can AI Unlock Business Intelligence for Teams?

Mohamed is a Senior Manager at Amazon and Head of Alexa Speaker Recognition. He was Director of AI at Cisco, which acquired Voicea (now Webex Assistant), where Mohamed was a Co-Founder and Chief Architect; he also worked on Speech, NLP, and an AI Assistant. At LinkedIn and Microsoft, Mohamed led AI and big data teams that served hundreds of millions of users. He worked on LinkedIn’s news-feed personalization, Outlook.com, and Visual Studio Team Foundation Server. Mohamed co-authored a book, Computing with Data, which explores how to work with big data; he’s been working on another book that navigates applied ML practices. Mohamed also worked as a part-time Teaching Assistant for Machine Learning (CS229) and Deep Learning (CS230) at Stanford University. Mohamed is an avid calligrapher and photographer; in 2011, one of his shots made it as Bing.com’s wallpaper; a few more got published in books after that. Before COVID-19, Mohamed loved to travel.

Igor is the founder and CEO of Pryon, an artificial intelligence (AI) company delivering an enterprise knowledge management platform. Pryon’s natural language processing (NLP) engine ingests and transforms data into experiences that solve critical business challenges. Previously at IBM, Igor grew impatient with the gap between the invention and commercialization of AI and departed to establish cloud computing pioneer Yap. Five years later, Amazon acquired the company for its AI expertise and machine learning (ML) technology, now embedded in billions of Alexa-powered devices. Igor was subsequently awarded Eisenhower and Truman National Security fellowships to leverage entrepreneurial ecosystems in addressing geopolitical concerns. Igor passionately supports STEM careers and educational opportunities. As such, he is a TechStars’ Alexa Accelerator mentor, was a Blackstone NC Entrepreneur-In-Residence (EIR), and founded a chapter of Global Shapers, a program of the World Economic Forum (WEF). Igor holds a BS degree in Computer Engineering from The Pennsylvania State University, where he was named an Outstanding Engineering Alumnus, and an MBA from The University of North Carolina.

A dedicated and ambitious Data Science and Analytics executive offering broad-based experiences in delivering solutions for driving business decisions, setting analytic strategy, and ensuring a commitment to integrity, dependability, and compliance. Interests: Fraud, Cybersecurity, Machine Learning (ML), Artificial Intelligence (AI), NLP, Modeling, Data Mining, Simulation, Optimization, and Automation.

Victoria Livschitz founded Grid Dynamics in 2006 to bring big, new ideas — open-source, clouds, and big data — to large enterprises. Under her leadership, Grid Dynamics became a successful, fast-growing engineering IT services company known for transformative, mission-critical cloud solutions for the retail, finance, and technology sectors. In 2015, Victoria transitioned to the role of Chief Technology Officer.