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MassTLC & MIT CSAIL Present: MassINTELLIGENCE, The Age of Machine Learning

MassIntelligence Conference

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.

  • 26 April 2017, Tours of various AI Laboratories & Poster reception at MIT/CSAIL
  • 27 April 2017, Conference & Reception at UMassBoston

Laboratory Tours:  See industry applications firsthand with visits to local AI and Machine Learning Labs

  • Duckietown (automated vehicles lab at CSAIL)
  • Neurala
  • IBM Watson Health
  • Sentenai
  • Verizon Innovation Center (invited)

MIT/CSAIL poster reception: Speak to MIT students and learn about their AI research and projects


  • Samuel Madden – Professor of Electrical Engineering and Computer Science at MIT’s CSAIL. He is leader in investigating issues related to systems and algorithms for data that is high rate, massive or very complex.
  • John J. Leonard – Samuel C. Collins Professor of Mechanical and Ocean Engineering and Associate Department Head for Research in the MIT Department of Mechanical Engineering (CSAIL member). Research addresses navigation and mapping for autonomous mobile robots
  • Eric Daimler – White House Presidential Innovation Fellow at Office of Science and Technology Policy, White House Presidential Innovation Fellows

TECH talks:  Hear about exciting research/findings in the area of AI and Machine Learning

  • Liam Paull, Research Scientist, Distributed Robotics Lab, COO, Duckietown Engineering Co.
  • Li Bian, Head of Boston Office, Emotibot
  • Winston Binch, Chief Digital Officer, Deutsch North America
  • Max Versace, Co-Founder and CEO, Neurala

Breakout Sessions: 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.  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.

Starting Your AI Initiative – 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

Applying AI techniques to drive efficiency, optimization, and scaling – 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,
Ajay Kapoor, VP of Digital Transformation & Strategy, SharkNinja
Ivan Matviak, Executive Vice President, State Street Corporation

Machine Learning, Artificial Intelligence, and the Internet of Things – 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

Using the “human” as a sensor for AI and Machine Learning – 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

AI & Machine Learning affecting Healthcare from Payments thru diagnosis and care – 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

The Future of Customer Engagement in the age of AI and Machine LearningAs 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 Shaer, Co-Founder and CEO, WEVO Conversion
Shashi Kant, Founder, Netra
Jeff Nicholson, Vice President, CRM Product Marketing, Pegasystems

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