Speakers

Hear from the best and brightest executive speakers how AI is transforming industry
Jeremy Achin
Jeremy Achin

CEO

DataRobot

Keynote Address

Bio

Jeremy is a data scientist turned entrepreneur. As CEO of DataRobot, Jeremy sets the direction of the company, products, and the culture. He’s passionate about helping organizations become more efficient by deploying machine learning everywhere. Prior to DataRobot, he was Director of Research and Modeling at Travelers Insurance where he built predictive models for pricing, retention, conversion, elasticity, lifetime value, customer behavior, claims and much more. A true data science enthusiast, Jeremy spends his spare time building predictive models, usually on the data science competition platform Kaggle.com. Jeremy studied Math, Physics, Computer Science, and Statistics at University of Massachusetts, Lowell.

Abstract

Coming Soon

David Rose
David Rose

Entrepreneur, Author of Enchanted Objects and Researcher at the MIT Media Lab.

MIT Media Labs

Dreams for future cities: How AI wants to take care of us

Abstract

Two of the fastest moving technology waves, IoT and AI, are converging with the promise of redefining mobility, jobs, housing, food production, and more. David Rose, AI entrepreneur, author of Enchanted Objects, and MIT Media Lab researcher, takes on this brave new world with a uniquely humanistic and optimistic lens. How will our relationship to technology change in a future world of self-driving cars, robotic homes, ambient information displays, and seductive conversational agents?

Bio

David Rose is an entrepreneur, author of Enchanted Objects, and researcher at the MIT Media Lab. He’s also the CEO at Ditto Labs, an image-recognition platform that scours Instagram and Twitter to find brands and products.
David’s products have been featured at the MoMA, covered in The New York Times, WIRED, The Economist, and parodied on the Colbert Report.

Andy Steinbach
Andy Steinbach

Senior Director, Head of AI in Financial Services

NVIDIA

Accelerating Business Innovation with Deep Learning

Abstract

 

Deep Learning, the fastest growing technology in AI, is solving some of the most complex problems in today’s industries, from improving cybersecurity to advancing drug discoveryto better predictive analytics and many more. As billions of devices become connected, the impact of deep learning will become greater, driving a new wave of productivity and innovation. To capitalize on this immense opportunity,  businesses will need to AI-accelerate their big data, turning it into real-time, actionable knowledge. Learn how leading companies in key market segments are benefitting now from their investment, as well as the challenges they face as they move ahead.

Bio

Andy leads the global effort to drive adoption of the NVIDIA GPU platform in the Financial Services Industry. Andy specializes in developing applications of revolutionary technologies in new vertical markets. In his last role he built a new group to employ machine learning technology for the first time in a $1B imaging technology division of the global company ZEISS. Andy earned a PhD in physics from the University of Colorado, Boulder and has held numerous roles in product management and technology strategy within the semiconductor industry.

Andrew Smallwood
Andrew Smallwood

Lead Associate, Cyber Futures- Human Capital and Learning Team

Booz Allen Hamilton

Impact of MI/AI on Cyber Workforce

Abstract

Organizations are struggling to find and hold onto cyber talent. Given a potential gap of over 1 million Cyber security jobs going unfilled within the next few years, organizations are turning to automation and AI to plug the gap. This talk will discuss the results of our recent study on Cyber jobs and AI, discuss the top 3 jobs that are likely to be replaced by automation and AI, and how to cut through the hype to prepare your workforce.

Bio

Andrew Smallwood is the leader of the Cyber Futures Human Capital and Learning Team within Booz Allen Hamilton’s Strategic Innovations Group. Mr. Smallwood has been involved with significant cyber workforce related efforts including helping develop and refine the National Cyberspace Workforce Framework as part of the National Initiative for Cybersecurity Education. He also led the support team helping to implement this framework within the Department of Defense. He works with both U.S. Government and commercial fortune 500 clients to solve their cyber talent problems. He has authored numerous publications on cyber and workforce issues and holds a B.A. from the University of Nebraska- Lincoln and a Graduate Certificate in Cybersecurity Policy from the University of Maryland University College, as well as certifications in Human Capital Strategy, Compensation and is a Certified Information System Security Professional. 

Adam Weinstein
Adam Weinstein

Executive Director of Analytics & Data Science

Athena Health

Panel Moderator- Business Strategies For Healthcare AI

Bio

Adam Weinstein is the Executive Director of Analytics & Data Science at athenahealth, with responsibility for the client-facing reporting experience, product analytics and data science teams. Prior to this role, he served in a variety of positions related to product operations at athenahealth, with responsibility for value-based payment programs, clinical content and clinical data standards. Mr. Weinstein holds an MBA from the MIT Sloan School of Management and an MS from the Harvard-MIT Division of Health, Science and Technology, as well as a BA in Computer Science from Brandeis University.

Abstract

Machine learning in healthcare is getting a lot of attention: there are 100+ startups pursuing AI strategies on one end of the spectrum, and companies like IBM Watson making noise on the other. However, creating and capturing value using AI in healthcare still remains elusive. Leaders from a range of companies in the healthcare industry – Fitbit, Kyruus, and athenahealth – will discuss the respective strategies their companies are taking to deploy advanced analytics and incorporate these into their business strategies.

Andrew Therriault
Andrew Therriault

Chief Data Officer

City of Boston

The Future of Data Science in the City of Boston

Abstract

Boston’s Citywide Analytics Team was founded in 2015 to improve all aspects of city government through the use of data and analytics. Over the course of its first year, the team racked up an impressive list of accomplishments through the use of data visualization, automated reporting tools, and statistical analysis. In 2016, we expanded the team’s scope to cover an even broader set of data science methods and tools. This talk will give recent examples of how the team is using predictive modeling, experimental testing, text analysis, and other techniques to improve the lives of Boston residents. We’ll also share some of the team’s plans for the coming years, as we continue to move Boston forward as a nationally-recognized leader in data-driven government.

Bio

Andrew Therriault joined the City of Boston as its first Chief Data Officer in June, 2016. An expert on predictive modeling, quantitative research, and data integration, he previously served as Director of Data Science for the Democratic National Committee and as Senior Data Scientist for Greenberg Quinlan Rosner Research. Therriault received his PhD in political science from New York University in 2011 and completed a postdoctoral research fellowship at Vanderbilt.

Catherine Havasi
Catherine Havasi

CEO & Co-Founder

Luminoso Technologies

How will AI and NLP impact the future of the customer service

Abstract

Customer service is one of the few ways that companies can truly differentiate themselves from their competitors. But as this vast amount of customer feedback continues to increase in various formats (chat bot and call center transcripts, email, social media, product review sites, etc) it can be difficult to consume and respond to customers and apply business insights to this unstructured data in a timely manner. Artificial intelligence (AI) and Natural Language Processing (NLP) can help companies to quickly monitor this feedback to identify trends and emerging issues in order to quickly respond to customer needs.

 

Bio

Dr. Catherine Havasi is the CEO and Co-Founder of Luminoso Technologies, an Artificial Intelligence (AI), natural language processing (NLP) company in Cambridge, MA. Luminoso was founded on nearly a decade of research at the MIT Media Lab on how NLP and machine learning could be applied to text analytics. For over 15 years she has been researching language and learning and was a research scientist in artificial intelligence and computational linguistics at the MIT Media Lab where she ran the Digital Intuition group. In the late 90s, she co-founded the Common Sense Computing Initiative, or ConceptNet, a big-data lexical resource used in over two thousand academic projects.

David Weisman, Ph.D.
David Weisman, Ph.D.

Vice President, Data Sciences

Indigo

Producing Large ROI from Advanced Analytics

Abstract

Producing a compelling Return on Investment (ROI) is an essential requirement of any large IT investment, whether in the decision or operational phase. Quantitatively demonstrating IT investment gains is often challenging, as the results can be indirect, providing supporting benefits to the organization. In sharp contrast, Advanced Analytics produces concrete measurable outcomes, for example, increased sales, and these outcomes provide the basis for meaningful ROI and Key Performance Indicator (KPI) measurements. This short session focuses on measuring and increasing ROI for predictive analytics initiatives.

Bio

David Weisman, Ph.D. is an expert in data science, with over 30 years of accomplishment in IT consulting and computer science. His career began in compiler design, and in 1980, David co-founded Lydon LLP, a successful consulting firm. For over 25 years, Lydon developed financial systems, middleware architecture, compiler tools, and secure distributed systems. Lydon’s clients included EMC, ITT, Open Software Foundation, State Street Bank, Fidelity Investments, Harvard Management Company, Iron Mountain, Burlington Northern Railroad, British Telecom, Putnam Investments, Trident Capital, BankBoston Global Capital Markets, Osborn Capital, DataMedic, Clinical Information Advantages, Liant, Stratus Computer, Individual.com, Interwoven/NeonYoyo, and Sun Microsystems.

David is now Vice President of Data Sciences at Indigo Agriculture, applying state-of-the-art computational approaches to discover a vast array of natural, beneficial microbes that directly support agricultural plant health and growth. In addition, David is in high demand as a public speaker, and frequently presents talks and seminars on data science.

 

Ingo Mierswa
Ingo Mierswa

Founder & President

RapidMiner, Inc

How to Ruin your Business with Data Science & Machine Learning

Abstract

Everyone talks about how machine learning will transform business forever and generate massive outcomes. However, it’s surprisingly simple to draw completely wrong conclusions from statistical models, and “correlation does not imply causation” is just the tip of the iceberg. The trend of the democratization of data science further increases the risk for applying models in a wrong way. This presentation covers the typical data science problems, and suggests ways to avoid costly mistakes.

Bio

Dr. Ingo Mierswa, PhD, co-founded RapidMiner, Inc. in 2012 and serves on the Board. Ingo is responsible for strategic innovation and deals with all big picture questions around RapidMiner’s technologies.

Peter Waggett
Peter Waggett

Emerging Technology Director

IBM

From Cognitive Computing to Artificial Intelligence, the Next 10 years

Abstract

The leap from cognitive computing to artificial intelligence will require systems that can take account of sensory data directly and in real time. This will require new systems and methods of programming them. This talk will outline some of the challenges faced and possible solutions.

Bio

Dr Peter Waggett is IBM’s Director of Emerging Technology in the UK.  He manages a team of 150 technologists based at the Hursley Laboratory. The team is responsible for conducting research and developing proof of concept systems using outputs from wider research and development groups.

Janet Slifka

Janet Slifka

Senior Manager, Applied Modeling and Data Science Team

Amazon Echo, Alexa

Abstract

Coming Soon

Bio

At Amazon, Janet was part of the Machine Learning organization that brought Amazon Echo to market. Janet was given the opportunity to found and develop a new team with the charter to create the speech and language data and associated performance evaluation processes for Amazon Alexa. Janet defined and expanded the scope, and then grew the team from a start of 1 to a multi-site, global organization. She currently manages the Applied Modeling and Data Science team for the Alexa Machine Learning organization. The team charter includes: modeling solutions for natural language understanding, feature expansion and design, customer experience analytics, data collection for model support, and research and design for new data metrics and workflows.

John Langton
John Langton

Director of Data Science

Athena Health

Panelist- Business Strategies For Healthcare AI

Bio

John Langton is Director of Data Science at athenahealth. He has a PhD in computer science and a background in machine learning and artificial intelligence. John has extensive experience applying advanced analytics to real world problems at scale. Prior to athenahealth, he was Director of Data Science at Carbon Black where he worked with exabytes of cybersecurity data. He arrived at Carbon Black through their acquisition of his visual analytics company VisiTrend, where he was CEO for 9 years. John previously served as Principle Investigator (PI) on several DoD projects at Charles River Analytics (CRA). John has taught classes at Brandeis University and has several peer reviewed publications.

Abstract

Machine learning in healthcare is getting a lot of attention: there are 100+ startups pursuing AI strategies on one end of the spectrum, and companies like IBM Watson making noise on the other. However, creating and capturing value using AI in healthcare still remains elusive. Leaders from a range of companies in the healthcare industry – Fitbit, Kyruus, and athenahealth – will discuss the respective strategies their companies are taking to deploy advanced analytics and incorporate these into their business strategies.

Julie Yoo
Julie Yoo

Co-Founder and Chief Product Officer

Kyruus

Panelist- Business Strategies For Healthcare AI

Bio

Julie Yoo oversees product, engineering, and business development as the Co-Founder / Chief Product Officer of Kyruus. .Prior to founding Kyruus, Julie served as the Vice President of Clinical Products at Generation Health, where she led the development of the company’s analytics and clinical content products. She also managed the development and launch of the world’s first private whole genome sequence analysis platform as a product manager at Knome .Julie completed her undergraduate work at MIT in computer science and pre-medicine, and earned MS and MBA degrees through the Harvard-MIT Health, Sciences, and Technology (HST) program and MIT Sloan School of Management. She currently serves on the Board of Trustees of the Massachusetts Technology Leadership Council, the Advisory Board of NewCo Boston, and is a World Economic Forum Young Global Leader.

Abstract

Machine learning in healthcare is getting a lot of attention: there are 100+ startups pursuing AI strategies on one end of the spectrum, and companies like IBM Watson making noise on the other. However, creating and capturing value using AI in healthcare still remains elusive. Leaders from a range of companies in the healthcare industry – Fitbit, Kyruus, and athenahealth – will discuss the respective strategies their companies are taking to deploy advanced analytics and incorporate these into their business strategies.

William Crawford
William Crawford

Former VP of Engineering

Fitbit

Panelist- Business Strategies For Healthcare AI

Abstract

Machine learning in healthcare is getting a lot of attention: there are 100+ startups pursuing AI strategies on one end of the spectrum, and companies like IBM Watson making noise on the other. However, creating and capturing value using AI in healthcare still remains elusive. Leaders from a range of companies in the healthcare industry – Fitbit, Kyruus, and athenahealth – will discuss the respective strategies their companies are taking to deploy advanced analytics and incorporate these into their business strategies.

Bio

William Crawford is launching a mysterious new company. He was a VP of Engineering at Fitbit from June 2013 to March 2017, where he built Fitbit’s Boston office and managed teams focused on core fitness technologies, ecommerce, customer support and Fitbit’s core data analytics infrastructure. He also served as Fitbit’s VP of Business Systems from 2013 to 2015. Prior to Fitbit, he was CEO of Linked Medical, a Massachusetts General Hospital spin-off, CTO of an early pharmaceutical software SaaS firm, and a policy adviser to the US Department of Health and Human Services. He is the co-author of several books on enterprise software architecture, hold an MBA and MS from MIT, and lives in Cambridge with his wife and his cat. 

Patricia Florissi
Patricia Florissi

Vice President & Global CTO for Sales

Dell EMC

The Dawn of the Digital Era

Bio

Patricia Florissi is Vice President and Global Chief Technology Officer (CTO) for Sales. As Global CTO for Sales, Patricia helps define mid and long term technology strategy, representing the needs of the broader Dell EMC ecosystem in strategic initiatives. Patricia also acts as the liaison between Dell EMC and our customers and partners, to foster stronger alliances and deliver higher value.
Patricia was previously the Vice President and Global CTO for Sales at EMC prior to the merger between Dell and EMC. She also holds the honorary title of EMC Distinguished Engineer, having been nominated in October 2007.
Patricia is the creator, author, narrator, and graphical influencer of the educational video series EMC Big Ideas (http://bit.ly/EMCBigIdeas), on emerging technologies and trends.

Abstract

We are experiencing the dawn of a new era, the digital era, which is forcing businesses to either transform or perish.

Accelerated technology advancements are causing four different types of transformation: digital, IT, workforce and security transformation. In this new emerging world order, a software and a data science DNA will determine businesses’ ability to survive. This presentation will overview the four transformations, while focusing on the digital one, and will discuss the emerging trends on the next generation of data science.

Michael Hayes
Michael Hayes

CEO

FeatureX

Panel-Monetizing New Data Sources

Bio

Michael is a senior executive with over 20 years of experience building and leading high-growth teams. Michael is currently the CEO of FeatureX, an artificial intelligence (AI) software company which uses computer vision and other machine learning (deep learning) technologies to discover meaningful patterns in the world’s data. FeatureX is backed by Tudor Investment Corporation.

Prior to FeatureX, Michael was founder and CEO of Tripleshot, the first game-proof block trading solution for institutional traders. Michael has a patent on the market construction technique used by Tripleshot (US 8,732,065). Previously, Michael ran a variety of sales, marketing, and client service organizations in fast-growing enterprise software companies. He also has significant experience creating business alliances between companies of all sizes, including between US and international companies.
Michael started his career as an officer aboard the USS La Jolla (SSN-701), a nuclear-powered fast attack submarine.

Abstract

Coming Soon

Johannes Hermann
Johannes Hermann

Director, Machine Learning and Advanced Algorithms

Johnson & Johnson

Frontiers of AI: Challenges and Applications in Healthcare

Abstract

Since coming of age, many AI type applications have disrupted an increasing number of industries. The healthcare sector is dominated by large pharmaceutical companies, but many technology driven companies have entered the field with novel and innovative approaches to pressing healthcare problems by offering new products or services. As established healthcare companies try to benefit from those ideas through partnering or similar in house development efforts, there is a huge opportunity to fundamentally change decision making for established processes by reducing human bias and relying more on automated data driven machine learning based AI type applications. Motivation and concepts from the pharmaceutical industry will be shared and illustrated with actual real world examples from Janssen.

Bio

Johannes Hermann is leading the machine learning group in Data Sciences at Janssen Pharmaceutical Companies (Johnson & Johnson). In his current role Johannes is responsible for a variety of big data, advanced analytics and AI projects that span across the entire value chain at Janssen from Discovery through Development to Commercial with pre and post launch as well as Supply Chain and Business Development.

Johannes has extensive experience in data mining and machine learning techniques and the applicability to healthcare having worked in different roles in the pharmaceutical industry at Roche and Johnson & Johnson. He holds a PhD in computational chemistry (quantum & molecular mechanics) from the University of Düsseldorf and conducted postgraduate work at the University Bristol/UK and the University of California San Francisco. He has authored more than 40 peer reviewed publications & patents incl. a Nature title story.

Chris Poulin
Chris Poulin

Principal/Director for Strategic Innovation Group

Booz Allen Hamilton

Replacing passwords with behavioral characteristics, enabled by the IoT

Abstract

The Internet of Things promises to create a frictionless, idyllic experience with cars, elevators, electric meters, and refrigerators all cooperating to improve the quality of life for their human overlords. One of the greatest adoption barriers, though, is the fear of hackers, putting the data and the very lives of users at risk. But the IoT introduces a security opportunity: the potential to get rid of passwords for good. Using behavioral characteristics gleaned from data captured by IoT devices, the user themselves become their password. Of course, the devil’s in the details—or analytics in this case.

Bio

Chris Poulin is Principal/Director for Booz Allen Hamilton’s Strategic Innovation Group, where he leads the Internet of Things and Threat Intelligence R&D activities for the Cyber Futures team. He has filled a number of roles in information security spanning 32 years, most recently focusing on the IoT, with a specialty in connected cars, as well as threat intelligence and cognitive computing. Chris began his career as a software developer in the United States Air Force and managing global intelligence networks for the National Reconnaissance Office, then jumped to the private sector and startups. He built, ran, and sold his own information security consultancy, FireTower, Inc. Chris joined Q1 Labs, a startup in the security intelligence space, as Chief Security Officer, then spend 5 years at IBM managing their X-Force security research team.

Steve Cohen
Steve Cohen

COO & Co-Founder

Basis Technology

AI is Built on Data

Abstract

AI has returned in a big way, this time showing real, positive return as it integrates into our products, architectures, and technological conscience. What is driving it to success this time? Answer: it’s the data, not the software or an advanced algorithm. Collecting, creating, cleaning, and consuming the data, both in terms of extracting deep information, and in shaping the AI logic itself determines success. From Basis Technology’s experience in NLP, we will explore the importance of data and how AI developers should approach data creation and usage.

Bio

Steve is responsible for worldwide sales and the planning and operations of Basis Technology’s linguistic product research and development. Before starting Basis Technology with Carl Hoffman, Steve was engineering manager for Cognex Corporation’s Tokyo office and development manager for SMT device inspection. He has also consulted on software internationalization engineering and developed software for embedded systems and electronic test equipment. Steve earned a bachelor’s degree in electrical engineering from MIT and studied at Waseda University in Tokyo.

April Davis
April Davis

Industrial Principal Director, Global Life Sciences, R&D

Accenture

PV First: An AI-driven NLP solution for augmenting adverse event management and reporting

Bio

April Davis is an Executive in Accenture’s Life Sciences Pharma R&D practice, based in Boston. She has over twenty-four years’ experience in the strategy, management, implementation, and operation of global enterprise technology solutions and services. April specializes in working with pharmaceutical and CRO organizations, delivering technology strategies, solutions and services related to the R&D domain. Currently April has overall global responsibility for the design and execution of innovative cognitive based pharmacovigilance solutions.

Abstract

Coming Soon

Rumman Chowdhury
Rumman Chowdhury

Senior Manager

Accenture

PV First: An AI-driven NLP solution for augmenting adverse event management and reporting

Bio

My passion lies at the intersection of artificial intelligence and humanity. I come to data science from a quantitative social science background. Currently, I am a Senior Manager at Accenture, working on cutting edge applications of Artificial Intelligence. I also serve on the Board of Directors for three AI startups.
I hold two undergraduate degrees from MIT, and a Masters in Quantitative Methods of the Social Sciences from Columbia University. I am near completion of my PhD from the University of California, San Diego.
In mainstream media, I have been interviewed for the PHDivas podcast, German Public Television, Software Engineering Daily and fashion line MM LaFleur. In 2017, have talks at the Global Artificial Intelligence Conference, at Strata + Hadoop San Jose, Digital Humanities and Data Journalism, and Strata + Hadoop London.

Abstract

Coming Soon

Hemant Joshi
Hemant Joshi

Director of Global Big Data Science

L'Oreal

Data Science in the Cosmetics Industry

Bio

Abstract

The world of beauty and cosmetics is filled with consumers, products, beauty routines, lifestyles, and consumer science. L’Oreal, as industry leader, has challenged itself with apps, devices and cosmetics to address personalized consumer needs. Consider the launch of UV Patch and its companion mobile app in 2016. UV Index is predicted for any given area. We analyzed individual UV exposure for our consumers over a period of time. The use of UV Patch allows consumers to understand their personalized UV exposure and how it is affected by their lifestyle instead of generalized UV Index. We collect anonymized data on how quickly the consumer is exposing herself to UV.

Gregory Piatetsky-Shapiro
Gregory Piatetsky-Shapiro

President

KD Nuggets

Moderator

Bio

Gregory Piatetsky-Shapiro, Ph.D. is the President of KDnuggets, a leading site for Analytics, Big Data, Data Science, and Data Mining. Gregory is a co-founder of KDD (Knowledge Discovery and Data mining conferences), a co-founder and past chair of ACM SIGKDD, a professional association for Data Mining and Data Science, and a well-known expert in the field.

Abstract

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Andy Palmer
Andy Palmer

Co-Founder & CEO

Tamr

Bass Ackwards: Why ML Projects Built on Bad Data Always Fail

Bio

Andy Palmer is co-founder and CEO of data analytics start-up Tamr, Inc. , a company that he founded with fellow serial entrepreneur and 2014 Turing Award winner Michael Stonebraker, PhD, adjunct professor at MIT CSAIL; Ihab Ilyas, University of Waterloo;and others. Previously, Palmer was co-founder and founding CEO of Vertica Systems, a pioneering big data analytics company (acquired by HP). He also founded Koa Labs, a shared start-up space for entrepreneurs in Cambridge’s Harvard Square, and holds a Research Affiliate position at MIT CSAIL. In February 2016, he and Michael Stonebraker will present their online course, “Startup Success: How to Launch a Technology Company in 6 Steps,” for MIT on edX. During his career as an entrepreneur, Palmer has served as founding investor, BOD member or advisor to more than 50 start-up companies in technology, healthcare and the life sciences. He also served as Global Head of Software and Data Engineering at Novartis Institutes for BioMedical Research (NIBR) and as a member of the start-up team and Chief Information and Administrative Officer at Infinity Pharmaceuticals (NASDAQ: INFI). Previously, he held positions at innovative technology companies Bowstreet, pcOrder.com and Trilogy.

Abstract

The popularity (and success) of AI is fueling dramatic new investment in AI and ML. In his talk I will talk about the importance of large organizations putting the horse (data quality & curation) before the cart (algorithms, AI, ML).