ODSC Team

ODSC Team

Community Developers

Bio: ODSC connects you to the world’s largest community of practicing data scientists, AI experts, and industry executives. Our data science conferences in Boston, San Francisco, London, and other locations attract thousands of data science attendees. Our co-located CxO Summit and AI Expo is a magnet for top executives from some of the world’s largest companies seeking solutions.

AI Investor Reverse Pitch: Fund Your Startup or Showcase Your Product

AI Investor Reverse Pitch: Fund Your Startup or Showcase Your Pro...

AI Investor Reverse Pitch The areas of data science and artificial intelligence are hot commodities in which organizations, VCs and even individuals actively seek to invest. While start-ups usually do the pitching of their idea, product and vision to investor in order to gain fund, it is a rarer site to see investor groups pitch […]

3 Top Tips for a Data Science Career Fair to Keep in Mind

3 Top Tips for a Data Science Career Fair to Keep in Mind

Spring is one of the hottest seasons for hiring. University students prepare to graduate. Companies organize budgets and projects for the rest of the year. Conferences and meet-ups pull together networking capabilities for these two different groups to connect. For job seekers in growing fields like data science and AI, niche job fairs that focuses […]

Announcing The ODSC Grant – Supporting the Startup and Data Science Community

Announcing The ODSC Grant – Supporting the Startup and Data...

ODSC hosts one of the largest communities of data scientist and AI experts.  We are constantly looking for ways to give back to that community via free meetups, scholarship tickets, and other initiatives. ODSC is delighted to announce a new community give-back initiative. At the end of each month  we provide a open source data […]

For Machine Learning Beginners: A Source for Core Concepts

For Machine Learning Beginners: A Source for Core Concepts

To solve machine learning problems, there is a wide range of different techniques and methods required, some suited better than others. As a data scientist it can be difficult to encapsulate all of them, and choose which work best for specific scenarios. If one is starting out in this space, it suits to understand the […]

ODSC Call for Bloggers

ODSC Call for Bloggers

We Want to Hear Your Voice and Perspective! Are you passionate about topics ranging from artificial intelligence to technology in business to open source programming languages and beyond? Do you enjoy sharing your expertise, research, insights and stories that can help the open data science community at large? If this is the case, consider submitting […]

IBM Paves Way for Closing Skills Gap in New AI Tool Release

IBM Paves Way for Closing Skills Gap in New AI Tool Release

“Deep Learning-as-a-Service” (DLaaS) can now be added to the “as-a-service” trend thanks to IBM’s recent announcement that it launched a tool within Watson Studio that “allows data scientists to visually design their neural networks and scale out their training runs while auto-allocation means paying only for the resources utilized.” According to the Wall Street Journal, […]

Interview with Remus Lazar,  Executive Director at IBM Watson, Moving Models From Experimentation to Production

Interview with Remus Lazar,  Executive Director at IBM Watson, M...

For large organizations moving data science projects for experimentation to production have always been a challenge.  It requires careful collaboration with both data scientists, technologies and business end users. Once machine learning models are in production it is another challenge to keep them performing well.  Sophisticated workflows now provide monitoring features, like model degradation tracking […]

Professor John Kelleher discusses recurrent neural networks and conversational AI

Professor John Kelleher discusses recurrent neural networks and c...

Voice translate assistants like Google Home, Siri, Alexa and other similar platforms are now commonplace.  However, for the most part, these device are limited to question and answer  type exchanges and not conversational.  The next big focus for machine translation is dialog systems that go beyond Q&A.  At ODSC Europe 2017 we sat down with […]

A conversation with  Professor Neil Lawrence, Director of Machine Learning at Amazon Research

A conversation with Professor Neil Lawrence, Director of Machine...

As the practice of data science and AI evolves and permeates all aspects of society, the need to understand its impact increases. In this wide ranging interview, Professor Neil Lawrence, Director of Machine Learning at Amazon Research, touches on a number of thought provoking topics. Neil discusses the need for a set of best practises […]