James Hendler is the Director of the Institute for Data Exploration and Applications and the Tetherless World Professor of Computer, Web, and Cognitive Sciences at RPI. He also is acting director of the RPI-IBM Artificial Intelligence Research Collaboration and serves on the Board of the UK’s charitable Web Science Trust. Hendler has authored over 400 books, technical papers, and articles in the areas of Semantic Web, artificial intelligence, agent-based computing, and high-performance processing. Hendler was the recipient of a 1995 Fulbright Foundation Fellowship, is a former member of the US Air Force Science Advisory Board, and is a Fellow of the AAAI, BCS, the IEEE, the AAAS, and the ACM. He is also the former Chief Scientist of the Information Systems Office at the US Defense Advanced Research Projects Agency (DARPA) and was awarded a US Air Force Exceptional Civilian Service Medal in 2002. He is also the first computer scientist to serve on the Board of Reviewing Editors for Science. In 2010, Hendler was named one of the 20 most innovative professors in America by Playboy magazine and was selected as an “Internet Web Expert” by the US government. In 2013, he was appointed as the Open Data Advisor to New York State and in 2015 appointed a member of the US Homeland Security Science and Technology Advisory Committee. In 2016, became a member of the National Academies Board on Research Data and Information and in 2018 became chair of the ACM’s US technology policy committee and was elected a Fellow of the National Academy of Public Administration.

Mike Piech is Vice President and General Manager of the Cloud Storage and Data Services organization, managing a team responsible for the product management, strategy, and marketing of Red Hat’s portfolio of data services offerings. These include cloud-native capabilities for storing, moving, transforming, and combining data for such applications as machine learning and edge computing. Prior to Red Hat, Piech held executive product roles at Magnet Systems (mobile app server) and Engine Yard (PaaS), after Oracle and BEA with product responsibility for WebLogic, Java™, and other enterprise platform technologies. He holds several patents.

As Executive Vice President and Chief Technology Officer, Bryan Harris is responsible for setting the technology direction for SAS and working with the executive leadership team to translate the organization’s strategic objectives and priorities into products and solutions. Harris has more than 20 years of experience researching and developing analytic techniques, enterprise search technologies, distributed computing and cloud architectures, and user experiences for both the federal and commercial industries. For nearly 10 years, he has been a critical senior leader of SAS R&D. Most recently, as Senior Vice President and Head of Engineering, Harris was instrumental in releasing the latest advancement of SAS® software, SAS® Viya®

Chris Wright is Senior Vice President and Chief Technology Officer (CTO) at Red Hat. He leads the Office of the CTO, which is responsible for incubating emerging technologies and developing forward-looking perspectives on innovations like artificial intelligence, cloud and edge computing, distributed storage, software-defined networking and network functions virtualization, containers, automation and continuous delivery, and distributed ledgers. During his 25 years as a software engineer, Wright has worked in the telecommunications industry and beyond on high-availability and distributed systems. He also has experience in the Linux® industry on security, virtualization, and networking. Wright has been a Linux developer for more than 15 years, with most of this time spent working deep in the Linux kernel. He is passionate about open source software serving as the foundation for next-generation IT systems.

Eric Gu works as a Senior Engineering Manager at DoorDash, overseeing teams working on search, discovery, consumer pricing, ordering experience, and client platform. Prior to DoorDash, he managed teams at Uber covering Marketplace predictions including ETA, food prep time, forecasting, and the Uber Eats Pricing team including real time pricing, structural pricing, demand shaping, and subscription. He earned his MS in Computer Science from USC.

Daniel Gray brings rich experience in technical solutions engineering as well as software engineering to his work with global enterprise organizations. Prior to joining AtScale to lead the Solutions Engineering team, Daniel spent many years in the analytics space including Hewlett-Packard’s Advanced Technology Center, Vertica, and Domino Data Lab. When he’s not in the office or onsite with customers, you’ll find Daniel running, climbing, hiking, and biking – basically anything outdoors.

Rohan Khade is a machine learning and data mining researcher with 10 years of experience working in academia and in collaboration with the industry. Spearheaded research into novel real-world machine learning algorithms for large streaming data which improved the current state of the art by 20% in the semiconductor manufacturing industry and reduced feedback time to users from days to hours. Skilled in machine learning, data mining, problem solving, and programming.

Itto Kornecki is a Product Manager at Deepnote. Before joining Deepnote, Itto was a Data Scientist at Verity as well as at various research labs at ETH Zurich, where he used data to answer questions in robotics and environmental sciences. Itto completed a Bachelor in Engineering at the University of Toronto and a Master in Robotics at ETH Zurich.

Aaron Richter is a software developer turned data engineer and data scientist. He has pioneered the development and implementation of large-scale data science infrastructure in both business and research environments. Inevitably, he spent a lot of time finding efficient ways to clean data, run pipelines, and tune models. Aaron is currently a Senior Data Scientist at Saturn Cloud, where he works to make data scientists faster and happier. He holds a PhD in machine learning from Florida Atlantic University.

Antonio Cotroneo has spent his career helping people around the world maximize their geospatial data, mapping technology, and spatial analyses to make critical decisions for their customers and community. As a Principal Solution Engineer at OmniSci he focuses on geospatial solutions for commercial businesses and academic institutions.

Bob Foreman has worked with LexisNexis and the open-source big data HPCC Systems technology platform and the ECL programming language for more than 9 years, and has been a technical trainer for over 25 years. He is the developer and designer of the HPCC Systems Online Training Courses and is the Senior Instructor for all classroom and remote training. This includes: Introduction to ECL (Part 1 and 2) – Concepts and Queries, the Extract, Transform and Load (ETL) Process, Advanced ECL (Part 1 and 2) – Working with Relational Data, Super files, Working with XML, and Free-form Text Parsing, ROXIE ECL – Indexes and Queries, Complex Query Development, and Applied ECL – ECL Code Generation Tools. He has over 30 years of industry experience in training, consulting, and technical writing with RDBMS platforms and most recently Big Data. Bob earned his A.S. in Electronic Engineering and was a Cryptologic Technician in US Navy for 5 years.

Hugo supports the development and delivery of training programs for the HPCC Systems platform in the Brazil region since 2019. Hugo has worked for over 15 years on various technical roles in the IT industry with a focus on High-Performance Computing. He is also a part-time researcher on Information Systems and a member of the UK Academy for Information Systems.

Torgil Hellman is the Chief Architect at WhereScape and has a deep knowledge and solid experience of e-commerce solutions. He has a rare understanding of both the technology and the business processes involved which makes him an excellent interface between senior operatives and system developers. He has over 10 years experience of in developing e-commerce solutions and content managing applications in an international environment.

Simon Asplen-Taylor is a former CDO at Rank Group, Tesco, Cushman & Wakefield He is a specialist in transforming business through the use of data, analytics, and artificial intelligence. Data IQ lists him as one of the 100 most influential people in data 2020. Simon is an Executive Speaker, Fellow of the Royal Statistical Society (FRSS), Fellow of the British Computer Society (FBCS).

Robert Lundberg is the CTO and Co-Founder of PerceptiLabs, a startup aimed at accelerating machine learning by streamlining the workflow and advancing the explainability of the models. To do this, PerceptiLabs created a visual modeling tool that gives full transparency into the process of machine learning development, combined with support functions for debugging and increased interpretability into the models.

Martin Isaksson is the CEO and Co-Founder of PerceptiLabs, a startup aimed at accelerating machine learning by streamlining the workflow and advancing the explainability of the models. To do this, PerceptiLabs created a visual modeling tool that gives full transparency into the process of machine learning development, combined with support functions for debugging and increased interpretability into the models.

Prabhakar Narasimhadevara, Director of Data Science, Advanced Analytics and Data Engineering, Stanley Black & Decker (Atlanta, GA). Prabhakar is responsible for the delivery of data engineering and analytics solutions in the Stanley Black & Decker organization. He has significant experience delivering analytical solutions in the healthcare, automotive, industrial distribution, industrial manufacturing, digital marketing, and services industries. Many of his projects involved Machine learning, artificial intelligence, advanced analytics, architecture, strategy development, implementation, and process improvement.