Piers is Senior Vice President of Customer Experience at Comcast Cable responsible for using context, machine learning, and AI to transform the customer experience. Previously Piers was Vice President of Product Development for Comcast Video Products, including the X1 Platform, Comcast’s next generation video platform, and Xfinity TV streaming apps.
David Monnerat is Senior Director of Product Management in the Technology and Product organization of Comcast Cable. In this role, he is focused on using AI and machine learning to enhance the way that Comcast interacts with its customers. His specialty is taking data from systems and devices to predict optimal solutions that make customer experience interactions timely, relevant, and simple.
Since joining Comcast in 2001, David has built software and data solutions across multiple Comcast products. His innovative approach to problem-solving has resulted in 13 granted patents and 15 patents pending. Prior to joining the AI team, David worked for Comcast's Intellectual Property team and helped other Comcast inventors turn their ideas into potentially patentable solutions that leveraged technologies including machine learning, virtual reality, and wireless.
David holds a Master’s Degree in Information Systems from the University of Colorado at Denver, and is a U.S. Army veteran. He lives in Philadelphia with his wife and son.
Nij (Neeraj) Chawla serves as the Chief Customer Officer. Nij has held senior leadership positions at Oracle, most recently heading up the Stores and Commerce businesses for Oracle Retail. Nij led vision, strategy, product management, and business development for two suites of enterprise solutions at Oracle. He was a key leader in driving early mobile products coming out of Oracle, and he also led Engineering groups across multiple geographic locations for 8 enterprise products. Before Oracle, Nij founded and led a cross- org Retail technology and architecture group at 360Commerce and helped with the transition of that company into Oracle. Prior to 360Commerce, Nij headed up a consulting practice at Trilogy. Nij holds an Electrical Engineering (with Computers) degree from the University of Texas at Austin.
Ami Ehlenberger is the Vice President of Solution Development for Comcast’s Enterprise Business Intelligence team. There she leads the design, development, and operations of a breadth of data solutions from traditional datamarts to our Next Best Action solutions, as well as overseeing the artificial intelligence & machine learning team. She is focused on xFinity Consumer Services trends, behaviors and insights. Prior to Comcast, Ami was an executive at IBM for over 20 years. Her background includes development, support, artificial intelligence & machine learning, and consulting services. She is from the Philadelphia area, and when not working, enjoys spending her time with her husband and two daughters.
Michael R. Hoffman
Michael R. Hoffman leads innovation and strategy for Bank of New York Mellon Corporate Trust technology where, for over 6 years, his “innovation swat team’ successfully launched over 70 solutions from concept to commercialization.
Hoffman is a customer experience guru and customer technology futurist. He is a recognized global thought leader on digital customer experience, marketing, customer value and customer profitability.
Hoffman wrote the management guide to digital transformation, Customer Worthy : How and Why Everyone in Your Organization Must Think Like a Customer (available at Amazon.com). Customer Worthy has been downloaded over one hundred thousand times and is used by leading consulting firms, software and service firms and universities.
Ranjit Jangam heads Data Science team at Comcast, Enterprise Business Intelligence as Executive Director supporting machine learning and AI functions. He is a data driven innovator who develops machine-learning solutions and a strategic thinker focusing on the development of predictive modeling solutions that span end-to-end life cycle of a consumer. Some of the data driven machine learning solutions include acquisition suite of models that capture preferred engagement channels/preferred products, next best recommendations, retention strategy models to mitigate risk, product engagement, consumer/messaging segmentation and increasing adoption of AI solutions across business units to power profitable growth leveraging machine learning.
Prior to his role at Comcast, Ranjit spent over 11 years in insurance industry leading data science capabilities and managing teams of highly skilled data scientists. In his prior roles, he has lead the development of data driven machine learning platforms and framework that enable building predictive modeling solutions.
Ranjit holds an MS in Industrial Engineering with major in Statistics & Operations Research from West Virginia University, and a BS in Mechanical Engineering from Mumbai University, India.
Preethi Bojja is Sr. Data Scientist in the Enterprise Business Intelligence group. She has 5 years of hands-on industrial experience with expertise in data driven ML solutions. In her current role, she has worked on risk modeling, unsupervised clustering, AI methods, etc. Prior to working at Comcast, Preethi was an intern at Volvo Groups, IHG while earning her Master’s degree from Georgia State University specialized in Data Mining and Analytics. She was also a Business Analyst at Cognizant. Preethi is a tech-enthusiast and has done projects on NLP, social-media analysis. She is President of Toastmasters at the Comcast Philadelphia Campus.
Jeff Emberger is a Technical Lead at Vanguard working on application development that focuses on leveraging the cloud to develop new or existing applications. He also has worked on enabling artificial intelligence/machine learning projects using the cloud. Prior to this, he spent the bulk of his time at Vanguard working on mainframe-based projects. He has worked at Vanguard for 20 years and started at Vanguard right out of college. He graduated with a degree in computer science from Millersville University and a graduate degree in software engineering from Penn State University. He currently holds 2 AWS certifications (associate developer and associate solutions architect). He is passionate about trying to take new cloud services and develop reusable frameworks to use them. In his free time, he enjoys traveling and also playing tennis/volleyball.
Justin has been a developer at Vanguard for 8 years. Most recently, he has been involved in big data and AI initiatives. Justin previously worked on java mid-tier/UI coding primarily focused on legacy application development.
Hongcheng Wang manages the xFinity Home Intelligence team and aiQ research team. He and his team focus on developing scalable machine/deep learning and computer vision technologies for smart home video and IoT intelligence, and predictive and diagnostic intelligence for customer service. Before Comcast, he worked for United Technologies Research Center as a Principal Investigator on UAV perception, machine vision and video surveillance applications. He has published 40+ technical papers, and holds 40+ patents and patent applications (24 issued). He has been serving as an Associate Editor (AE) for the Visual Computer Journal by Springer since 2012, and Area Chairs or industry Chairs for a number of conferences. He holds a PhD in computer engineering from the University of Illinois at Urbana-Champaign (UIUC), and he is a senior member of IEEE.
Mary Beth Moore
Mary Beth Moore is an Artificial Intelligence and Language Analytics Strategist at SAS. She is responsible for providing strategic marketing direction and leads global SAS messaging for artificial intelligence and text analytics. She frequently presents and writes on a wide range of technology topics, including AI, NLP and SAS’ Data for Good initiatives. Prior to SAS, Mary Beth served in the United States Marine Corps and spent several years as an intelligence analyst and senior instructor in the US Department of Defense and Intelligence Community, primarily supporting expeditionary units and special operations. She is also a special education advocate, a disability rights consultant and a believer in community inclusion for people of all abilities.
Sudhir Borra is an enterprise architect working on building AI models for our video ecosystem at Comcast. He has several years experience in data science, and currently leads devops teams in building micro services architectures in AWS. Sudhir holds a Masters degree in Computer Vision and AI.
Joe Morrison leads business development for projects related to imagery analysis and visualization at Azavea, a Philadelphia-based software firm that builds custom web applications for civic and social good. In the past few years, he has had the chance to work with customers ranging from Fortune 500 companies to small startups using satellite, aerial, and drone imagery to tackle all kinds of fascinating problems. Prior to his current role, he worked on an open source software tool that helps cities across the U.S. map their street trees and calculate the total environmental benefit of urban forests. He shares ideas related to the latest trends in machine learning, drone and satellite tech, and his two indoor cats on Twitter at @mouthofmorrison.
Sepideh Seifzadeh is a Data Scientist/Machine Learning Engineer on IBM Data Science Elite team, based in San Francisco. After completing her PhD at the Center for Pattern Analysis and Machine Intelligence at University of Waterloo, she started her journey as a Big data & Analytics consultant. She really enjoys being on the DSE team and applying AI in real world applications to help customers on their Data Science journey. Sepi is a speaker at Conferences, Meetups and Summits and she is passionate about sharing the recent trends in technology with everyone. She mostly uses open source tools in Watson Studio, with her recent passion being around detecting model bias using Watson Open Scale to ensure Machine learning models provide fair decisions with trust and transparency. She has a passion for technology and always tries to keep herself up to date about the recent trends and innovations in the field.
Vidya Setlur is a staff research scientist in the Tableau Palo Alto office. Prior to joining Tableau, she worked as a principal research scientist at the Nokia Research Center for 7 years. She earned her doctorate in Computer Graphics in 2005 at Northwestern University. Her research interests lie at the intersection of natural language processing and computer graphics. In particular, the goal of her work is to develop new computer algorithms and user interfaces that enhance visual communication and understanding of the semantics of the underlying data.
Since joining Tableau Research in 2012, Vidya has worked on various projects and prototypes involving semantics and visual representation such as semantic icon encoding and semantically resonant color palettes. She has also been interested in exploring analytical conversation using natural language interaction via a system called Eviza. Subsequently, as part of productizing Tableau's natural language feature, Ask Data, she moved to engineering and was a manager on the Natural Language Team at Tableau Software. There she focused primarily on developing the theory and engineering of user intent in analytical conversation to provide analytically useful interpretations of users' utterances among other things. With the first release of the feature and the second release in Beta, she has moved back to research to explore medium and longer term natural language initiatives at Tableau.
Arpit was recognized as one of Philadelphia’s 10 Tech Disruptors of 2017 by the Philadelphia Business Journal. He co-founded the Android Philly developer group (which later became an official Google Developers Group) that he has been helping run since 2011. Arpit holds a Masters degree in Computer Engineering from Rutgers University and an Undergraduate degree from the University of Madras in Electronics and Instrumentation.
Nikhil Kishore is a Software Developer at Comcast with an extensive background focused on improving the customer experience. He is currently working with the AiQ team to develop a machine learning platform that will scale for billions of events a day in real time to create a better customer experience. He also worked on a project to design and develop a platform to send real time notifications to customers.
Nikhil holds a Master’s degree in Applied Data Science from NYU and a Bachelors in Computer Science from Brunel University London. He is passionate about improving the customer experience by developing scalable AI solutions.
Matthew Wander is a Data Scientist at TD Bank. Prior to switching his career to data science, he was a professional research scientist specializing in theoretical geochemistry.His particular interest was the nature of chemical bonding and how it behaved. the goal of this work was to create better models of chemical reactivity for modeling on a computer.
Since switching his career to Data Science, he has become something of a generalist. At TD Bank, he focuses on Big Data, but his passion is reinforcement learning. In his personal time, Matthew enjoys brewing his own beer and finding really weird things to study with data science techniques.
Swami Chandrasekaran (@swamichandra) is a managing director at KPMG's AI Innovation & Enterprise Solutions. He leads the architecture, technology, creation of AI and emerging tech offerings as well as innovation efforts. He has led the creation of AI-based products and solutions that have solved a wide range of problems in areas such as tax and audit, industrial automation, aviation safety, contact centers, insurance claims, field service, multimedia enrichment, social care, digital marketing, M&A, and KYC. He is currently also driving explainable and trusted AI efforts.
Previously, he spent 12 years at IBM and was appointed as one of their most elite IBM Distinguished Engineers. Prior to IBM, he worked at Webify Solutions (acquired by IBM), BearingPoint, and Ericsson Research. He holds a Master’s degree in electrical engineering from UT Arlington, has filed about 20 patents, and is an IBM Master Inventor. He is an avid video gamer, and when he finds the time, he writes on http://nirvacana.com.
Dilleswara (Dill) Anupoju
Dilleswara (Dill) Anupoju is a Sr. Platform/Cloud Engineer on the platform Architecture and Engineering team that provides application services to Comcast’s developers. He has 15 years of experience comprising software engineering, data structures, algorithms, java/spring frameworks, java/jee design patterns, SOA and micro services architecture, data analytics and cloud based technologies. Dill is a Sun Certified Enterprise Architect and Certified Cloud Foundry developer.
In his free time, Dill loves traveling, exploring new avenues, star-gazing, astrophysics. He identifies as a thought leader and is passionate about technology that builds a better world.
Gourab De is the VP of Data Science at DataRobot leading the customer-facing data science team. His training is in Statistics through undergraduate and post-graduate programs at the Indian Statistical Institute (ISI), and the Ph.D. program in Harvard University. His prior experience includes pharmaceutical consulting, with specific experience in statistical genetics, clinical trials, retrospective claims analysis, chart review studies, predictive modeling and pharmacoeconomic modeling. Gourab’s research spanned a variety of therapeutic areas.
Tom Weeks is the Chief Customer Officer at Ascend.io, where he focuses on optimizing the customer journey and accelerating customer adoption and success. Over the past 15 years, he has focused on building and scaling customer success teams, holding similar SVP and GM roles at SAP, ThoughtSpot, and Apigee.
Lindsay Withers is a Watson Data & AI Specialist at IBM dedicated to clients in the Telecommunications/Media & Entertainment sectors. She works every day helping companies like Comcast leverage AI technologies to create differentiating customer experiences, solve challenging business problems, and stay relevant during this time of digital transformation. Lindsay is an upstate New York native, currently living and working for IBM in Manhattan. When she's not in the office, she enjoys cooking and exploring the diverse food scene that NYC has to offer.
Ed Lawrence is a Data & AI Client Architect professional at IBM focused on helping some of IBM’s largest customers in the Communications, Media & Entertainment and Energy & Utilities industries. Ed works with his customers to architect, set strategy, and envision how IBM’s Data & AI offerings can aid them in solving complex business problems in today’s fast paced world of digital transformation.
Jeff Martin is a cloud and cognitive professional at IBM experienced in defining, designing, developing, and deploying innovative technology solutions to solve complex business problems. Jeff has a proven track record of driving results by applying technical expertise, leadership skills, effective communication, and change management to ensure successful user adoption. Jeff is currently focused on machine learning and AI solutions using IBM Watson and open source technologies.
David Whiting is the Head of Global Training at H2O.ai. David has a Ph.D. in Statistics from Texas A&M University, with a background in computational statistics and big data analytics. He has over 25 years of experience teaching, leading teams, and building and deploying machine learning models to solve real world problems in industry and academia.