The most exclusive and influential Big Data and Artificial Intelligence conference is coming back to Boston. Taking your place alongside more than 100 data scientists, AI innovators, machine learning forerunners, robotics engineers, leading analysts, IT strategists and business leaders who are redesigning the future of business.
We’ve hand-picked every speaker for their expertise, experience and influence in data, machine learning and AI technology and strategy for attendees to gain cutting-edge insights and networking opportunities.
Confirmed Speakers now include:
VP IT and Chief Digital Health Officer
VP and Chief Data Officer
Global Head of Data Science and Analytics
Director, Head of Data Architecture
Senior Data Scientist
Principal Data Scientist
Carly Brown Buxton
Director, Marketing Insights
Director, Data Science
Head of AI Initiatives / CAIO
Chief Data Scientist
VP, Data Strategy, Analytics and Machine Learning
Manager, Data Science
We co-develop the Summit Agenda with our speakers so you can expect a variety of activities, sessions and networking opportunities that will really maximise what you gain.
Event highlights including:
- Artificial Intelligence in usage: cases of day to day applications and management
- Rewriting life: data science in the health industry
- Leading the Way - Start-ups that are advancing and applying AI and machine learning technologies
- Advanced analytics and IT governance And many more...
08:00 – 08:50
08:50 – 09:00
09:00 – 09:30
Medical and Health in the digital age are about big data, artificial intelligence and patient-engagement technologies. And Boston Scientific is looking to address the fundamental issue using the connections between sensors and devices and patients and clinicians encompassed by the Internet of Things to address unmet needs and improve patients' lives. In this presentation David will uncover the data challenges and stories.
09:30 – 10:00
Artificial intelligence—AI—is already making healthcare more efficient. It’s not about robots replacing nurses; it’s about rerouting the many daily aggravations that get in the way of patient care. How can you start using AI to your advantage?
Join Girish Venkatachaliah, the VP of AI, Data Strategy, Analytics, and Machine Learning of athenahealth for an interactive online discussion. He’ll guide us through 5 steps of getting started with AI, sharing real-life examples of how AI is saving millions of hours of work per year for athenahealth’s customers.
10:00 – 10:30
Using sound to make life better is foundational to Bose. So it is no surprise that when Bose began exploring ways to use augmented reality to help customers feel more, do more, and be more, they started with sound. In this presentation Mukesh will not only share with us the innovation cases empowered by AI and machine learning technologies, but also elaborate the way to conquer challenges in employing and internalising the most advanced and complex AR technologies.
10:30 – 11:00
Day 1 Morning Coffee Break
11:00 – 11:45
MindMaze builds intuitive human machine interfaces through its breakthrough neuro-inspired computing platform. The innovations at the intersection of neuroscience, mixed reality and artificial intelligence are poised to transform multiple industries. As the Head of AI Initiatives and an highly experienced machine learning expert, Martin will present about the journey integrating AI & VR into the neurological healthcare applications.
11:45 – 12:30
According the Transportation Research Group, bad roads cost each US driver over $2,000 annually in unnecessary costs with an annual US cost of well over $100B and the costs of bad globally is estimated to be 5X that amount. A central challenge to maintaining good roads – that has existed since the Romans built the Appian Way over 2,000 years ago – is regular, thorough inspection of those roads. Two millennia ago a ‘liktor’ or road inspector sat on the back of a chariot looking for and making notes of imperfections and damage on the surface and along the edges of the road. He would then share those notes with the local road crew to fix. That process was tedious, expensive, dangerous and highly subjective. Regrettably little has changed in two thousand years, save for the fact that the chariot is now a Ford150 or Toyota truck.
Visual inspection is still the most popular method of road inspection, and not just for roads but for the inspection of large infrastructure. Fortunately, rapid advances in both AI/deep learning and the availability inexpensive, yet precise, sensors is transforming infrastructure monitoring and maintenance, with the result of lower costs and far greater transparency. My presentation will focus on how this revolution in 'asset transparency' is happening now by, among other things, using the presenter’s company, RoadBotics, as a prime example of this transformation. The presenter will highlight the opportunities and challenges of deploying this technology not only through the example of his own company but other similar companies assessing other infrastructure. We use deep learning and standard smartphones to assess road surfaces and roadways. We were spun out of Carnegie Mellon Robotics Institute in 2016 and we serve over 100 cities in 16 US states and 4 countries.
12:30 – 14:00
Day 1 Lunch Break
14:00 – 14:30
Himanshu is a Principal Data Scientist at Aetna, Fortune 10 company CVS Health. In his current role, he leads the development and execution of highly complex AI algorithms and applications for the health insurance industry.
14:30 – 15:00
With Machine Learning evolved Predictive Analytics is finding its way into more business applications. Coupled with machine learning data leaders can help to make sense of the big data and offer insights for marketing, customer service, and labor force and recruitment analysis. In this presentation Piya as the Director of Data Science will share with us how does machine learning empower the predictive analytics and drive up cross-functional alignment.
15:00 – 15:30
Day 1 Afternoon Coffee Break
15:30 – 17:00
Given the resurgence of neural network-based techniques in recent years, it is important for data science practitioner to understand how to apply these techniques and the trade-offs between neural network-based and traditional statistical methods. This lecture discusses two specific techniques, real-world applications and their advantages and disadvantages, and demonstrations of exploratory time series data analysis.
- Vector Autoregressive (VAR) Models – one of the most important class of multivariate time series statistical models applied in finance.
- Recurrent Neural Network (RNN) - a neural network architecture suitable for time series forecasting.
17:00 – 19:00
08:00 – 08:50
08:50 – 09:00
09:00 – 09:30
Clinical trials are fraught with missteps and data quality issues that often create costly delays in bringing life-saving drugs and diagnoses to the market. Often times, data quality issues and data integration challenges cause clinical trials to fail. Today’s complex clinical studies, which are also distributed around the globe, generate vast amounts of data from disparate sources, mobile heath devices, Internet of Things (IOTs), systems, vendors and clinical endpoints. Not only is the clinical data voluminous, it’s often comes at tremendous velocity commingled with data variety including a combination of structured, unstructured and binary data format. On top, these disparate systems don’t talk to each other in a standard manner, creating data silos and inhibiting real time integrated clinical trial information for real time decision making, risk analysis and regulatory compliance monitoring. This presentation will be focusing on the architecture of a modern, cloud-based real time data integration and analytics platform that ingests any type of clinical data (structured, unstructured, binary, lab values, etc.) at scale from any data sources. The presentation will focus on laying out the architectural building blocks of this modern data platform including explaining our “serverless” data pipeline, cloud architecture and deployment, continuous integration and deployment pipeline, platform scalability, data governance and master data management.
09:30 – 10:00
Unleash Data Power with the Right Data Architecture
10:00 – 10:30
Many organizations use Clickstream for reporting but struggle to turn that data into valuable Data Products and production-ready ML models. Thanks to Apache Spark and Cloud Computing, it’s not as daunting task as you may think. I’m going to cover in detail a recipe for you to take your Clickstream, explore it, ETL into a cloud platform, then create/publish data products into a REST API for consumption. This approach is designed to be nimble and iterative, with no back-end engineering needed.
10:30 – 11:00
Day 2 Morning Coffee Break
11:00 – 11:30
In this session, Jen will discuss how data scientists at Wayfair take data-driven approaches to analyze causal effects of advertising and drive incremental revenue.
11:30 – 12:00
How can data people implement strategy work? As Director of Market Insights for EF Education First, Carly leads market research and user research, uncovering actionable insights and putting data to work. In this talk, Carly shares best practices in how to motivate cross-functional teams to apply insights in ways that move the business forward.
I. Introduction: Familiar formats of how we receive information
II. A challenge for data scientists, quant/qual research teams: how to impart our insights across the company, to compel people to take action
III. This is a barrier that it often feels like we should not cross (data people should not be salesmen); here’s why we should
IV. Examples of putting data to work
12:00 – 13:00
Day 2 Lunch Break & End of the Event
What to expect
Our agendas consist of global and regional leading experts, curating talks on the latest hot topics and allowing you to understand the key take-aways from any presentation.
An exclusive event that boasts various activities for in-depth learning, experience sharing and effective networking, including keynotes, presentations, panel discussions, workshops, and much more.
A strict vendor and industry ratio control to avoid sales pitches and focus on real learnings and the exchange of relevant and effective knowledge.
A cross-industry mix of speakers and attendees to learn, network and collaborate through various interactive social sessions, including social breaks, buffet lunches, cocktail reception and Executive Dinner.
Located within the New Research Building at Harvard Medical School, The Joseph B. Martin Conference Center at Harvard Medical School offers a new standard of excellence for meetings and events.
The summit will take place in The Rotunda, 3rd Floor of the conference centre.Book your stay
Sponsors and Media Partners
We’re always looking for go-ahead, fascinating sponsors to align with our global leadership Summits which are packed full of senior connectivity potential. Our delegates are very select so we limit the number of sponsors for each of our Summits but if your values connect with ours, please reach out to Allan. We’d love to welcome you to our tribe!
Previous sponsors include:
Tickets and Price
Be part of the most exclusive and thought-provoking Big Data & AI Leaders Summit to connect with global thought leaders, learn new strategies and advance your data leadership skills.
Reserve your place today. We’re looking forward to welcoming you!