MASSTLC IN COLLABORATION WITH MIT CSAIL PRESENT
April 26, 2017
Tours of various AI Laboratories
April 27, 2017
Conference & Reception at UMassBoston
9:00am – Registration/Networking
9:45am – Opening Remarks
10:00am – Morning Keynotes
11:30am – Breakout Sessions
12:30pm – Lunch and Demos
1:45pm – Breakouts Sessions
3:15pm – TECH Talks
4:30pm – Closing Keynote
5:15pm – Networking Reception & Career Fair
The Massachusetts Technology Leadership Council and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) are collaborating to bring together Industry and Academia at this MassIntelligence Conference where cutting-edge science meets new business implementation. This unique two-day event is a deep dive into emerging AI techniques and technologies with a focus on real-world implementations.
is the former White House Presidential Innovation Fellow at Office of Science and Technology Policy, White House Presidential Innovation Fellows. As a catalyst in the Robotics/AI revolution, Dr. Daimler has served in the Robotics/AI workstreams in the Obama Administration’s White House Office of Science and Technology Policy (OSTP). He has 20+ years experience building companies including successful experience as a venture capitalist championing early-stage investments in household firms such as Hotmail (NASDAQ: MSFT) and TiVo (NASDAQ: TIVO). His early-career Quant work has matured into roles as a global Executive, Investor, and Advisor to many information-technology companies, including six as Co-Founder.
He studied Computer Science at the University of Washington, Carnegie Mellon University, and later Stanford University. With degrees in Computer Science and Economics, his academic research with Robotics has been in the domain of planning at the intersection of Machine Learning and Network Science (Graph Theory). His academic career culminated in time spent in the faculty of Carnegie Mellon’s School of Computer Science, and finally, as Assistant Dean.
is a Professor of Electrical Engineering and Computer Science in MIT’s Computer Science and Artificial Intelligence Laboratory. His research interests include databases, distributed computing, and networking. Research projects include the C-Store column-oriented database system, the CarTel mobile sensor network system, and the Relational Cloud “database-as-a-service”. Madden is a leader in the emerging field of “Big Data”, heading the Intel Science and Technology Center (ISTC) for Big Data, a multi-university collaboration on developing new tools for processing massive quantities of data. He also leads BigData@CSAIL, an industry-backed initiative to unite researchers at MIT and leaders from industry to investigate the issues related to systems and algorithms for data that is high rate, massive, or very complex.
Madden received his Ph.D. from the University of California at Berkeley in 2003 where he worked on the TinyDB system for data collection from sensor networks. Madden was named one of Technology Review’s Top 35 Under 35 in 2005, and is the recipient of several awards, including an NSF CAREER Award in 2004, a Sloan Foundation Fellowship in 2007, best paper awards in VLDB 2004 and 2007, and a best paper award in MobiCom 2006. He also received a a “test of time” award in SIGMOD 2013 (for his work on Acquisitional Query Processing in SIGMOD 2003), and a ten year best paper award in VLDB 2015 (for his work on the C-Store system).
John J. Leonard
is Samuel C. Collins Professor of Mechanical and Ocean Engineering and Associate Department Head for Research in the MIT Department of Mechanical Engineering. He is also a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). His research addresses the problems of navigation and mapping for autonomous mobile robots. He holds the degrees of B.S.E.E. in Electrical Engineering and Science from the University of Pennsylvania (1987) and D.Phil. in Engineering Science from the University of Oxford (1994). Prof. Leonard joined the MIT faculty in 1996, after five years as a Post-Doctoral Fellow and Research Scientist in the MIT Sea Grant Autonomous Underwater Vehicle (AUV) Laboratory. He was team leader for MIT’s DARPA Urban Challenge team, which was one of eleven teams to qualify for the Urban Challenge final event and one of six teams to complete the race. He served as Co-Director of the Ford-MIT Alliance from 2009 to 2013. He is the recipient of an NSF Career Award (1998) and the King-Sun Fu Memorial Best Transactions on Robotics Paper Award (2006). He is an IEEE Fellow (2014).
As Artificial Intelligence finally moves from being the province of the university labs to being a critical part of the software developer’s toolkit and a focus for mainstream companies, there is a growing and urgent need for information on applied AI, as opposed to the kind of research presented at academic conferences. Sessions will include business cases and strategic plans for companies using AI in their business, to enhance a user/customer experience or to ensure increased productivity.
The availability of immense computing power and capacity has enabled the process of artificial intelligence. Cloud computing; network enablers; data capture and storage, along with complex algorithms and analysis put artificial intelligence within reach of just about any company. Many platform providers are providing the infrastructure as well as offering access to APIs to build AI components inside an application with a few lines of code. Our panel will share their expertise and best practices for how to build your AI process.
Ron Miller, Enterprise Reporter, TechCrunch
Mike Frane, VP, Product Management, Earthlink
Robert Mawrey, IoT Principal, Mathworks
Representative from AWS
As consumer expectations for seamless and personalized experiences increases, brands need more advanced technology to connect and engage with customers on a deeper level than ever before. Today, brands have a massive opportunity to leverage AI to engage with their customers and build better brand loyalty at every point throughout the customer journey. This session will cover what is possible with AI today and look forward to answer how AI and Machine learning will play a more impactful role.
Nitzan Shear, Co-Founder and CEO, WEVO Conversion
Shashi Kant, Founder, Netra
Jeff Nicholson, Vice President, CRM Product Marketing, Pegasystems
In this session you will learn about the unique attributes of the data generated by connected products and devices in the IoT and how this data enables better products, processes, and experiences. This session will feature use case studies identifying how companies are already generating business value in both the industrial and consumer arena.
Chris Rezendes, Managing Director, IoT Impact LABS
Chris Jones, VP of Technology, iRobot
Rob Patterson, VP Product Strategy for ThingWorx, PTC
AI has been playing a significant role in businesses for decades, from fraud detection in financial systems, or recommendation engines on e-commerce sites or even airline route planning. The recent breakthroughs in computing and machine intelligence techniques have brought about this next wave of AI, causing reinvention of business models through increased efficiency and automation of what was previously considered human-only tasks. This session will feature use case-studies from a variety of industries where such approaches were applied to generate business value and impact the top-line and bottom-line.
Abhi Yadav, Founder, ZyloTech
Rashesh Jethi, Head of Research & Development, Amadeus North America
Dave Krupinski, Co-Founder and CTO, Care.com
Ajay Kapoor, VP of Digital Transformation & Strategy, SharkNinja
Ivan Matviak, Executive Vice President, State Street Corporation
In this connected age, technology has enabled human behavior to be captured and analyzed allowing companies to understand what drives the behavior and improve engagement. Our speakers will share their insights on the power of natural language processing and the relationship between the computer and human communication. We will also hear how facial and emotional recognition will provide the consumer with optimized marketing.
Vivjan Myrto, Managing Partner, Hyperplane Venture Capital
Gabi Zijderveld, Chief Marketing Officer, Affectiva
Jane Nemcova, VP & GM Global Services for Machine Intelligence, Lionbridge
Chris Sowa, Founder & CEO, ToonCrier
Applying machine learning and artificial intelligence has created huge benefits in the healthcare industry as care delivery becomes more effective and efficient. Providers are able to much more quickly predict medical occurrences, accelerate diagnoses, and optimize treatment allowing for improved point of care and lower costs. Our panel members will share their use cases on the current applications and share their insights on what we can expect in the future.
Ra’ad Siraj, CTO, Pulse Infoframe
Bill Crown, Chief Scientific Officer, OptumLabs
Carl Kraenzel, Vice President, Watson Health Commercial Operations, IBM
Mark Michalski, Executive Director, MGH BWH Center for Clinical Data Science
Winston Binch, Chief Digital Officer, Deutsch North America
According to The Washington Post, “the next hot job in Silicon Valley is for poets.” AI can do a lot, but to unlock its full potential, it needs personality. Bringing creativity to AI – hear how AI technologies will impact the future of storytelling and brand marketing.
Liam Paull, Chief Operating Officer, Duckietown Engineering Co
Duckietown is an open, inexpensive and flexible platform for autonomy education and research. The platform comprises small autonomous vehicles (“Duckiebots”) built from off-the-shelf components, and cities (“Duckietowns”) complete with roads, signage, traffic lights, obstacles, and citizens (duck- ies) in need of transportation. A Duckiebot is able to: follow lanes while avoiding obstacles, pedestrians (duckies) and other Duckiebots; localize within a global map; navigate a city; and coordinate with other Duckiebots to avoid collisions.
Li Bian, Co-founder and Head of Boston, Emotibot
AI technologies might be a tool, but robots are not. With today’s technology advancement that rivals the imagination of Hollywood, it is not hard to imagine a future where intelligent robots, virtual or physical, enrich our human life with their wisdom and affection. We are essentially creating a new species: lock it up and it will never reach our expectation of true intelligence, set it free and we risk burying humanity without last invention.
Max Versace, CEO of Neurala and Director of the Boston University Neuromorphics Lab
Today’s mobile robots, drones, and self-driving cars need advanced and coordinated capabilities in perception and mobility to be effectively ‘put to work’ in complex environments. To date, the best implementations of these capabilities come from biology. This talk will illustrate an NVIDIA compatible working “mini-brain” that can drive drones, ground robots, and cars and help them learn, map and understand the layout of the environment, objects in it, while avoiding collisions.
Brendan Kohler, CTO and Co-Founder, Sentenai
The massive efforts of large teams resulting in PR wins like Watson’s Jeopardy appearance or AlphaGo’s rapid ascendance tantalize us with examples about what is possible with vertical artificial intelligence. In practice, however, most companies struggle to implement even very simple machine learning models at scale. This talk illustrates the behind-the-scenes “human intelligence” necessary to make sophisticated machine learning applications run, and explores the need for new technologies to enable AI at scale.
For more than 30 years, MassTLC has served as the premier network for thousands of companies and entrepreneurs seeking valuable connections. We have earned a reputation as the leading technology association in one of the world’s leading technology regions: Massachusetts
CSAIL Alliances is a gateway for organizations seeking a closer connection to the work, researchers and students of CSAIL. The program provides a comprehensive and proactive approach to developing strong connections with all CSAIL has to offer. Leading organizations come to CSAIL to learn about cutting-edge research, recruit talented graduate students, and explore research collaborations.
Hyperplane Venture Capital is an early-stage venture capital investment firm based in Boston focused on data and machine intelligence companies.