What is DATAx and why is it important?

DATAx New York City is a new event from Innovation Enterprise, designed to inspire and empower business leaders to unlock the power of AI and data science.

On 12-13th December we will open our doors for the first time to more than 700 guests and over 100 speakers. It will be the first of a series of festivals that will be rolled out in 2019 in London, San Francisco, Singapore, Chicago and Hong Kong.

What is DATAx?

Artificial Intelligence and the data that it runs on is rapidly sweeping through and forever changing industries. Machine learning algorithms - in particular deep learning - is having a profound impact now as the long-awaited promise of AI finally becomes a reality.

The global business value of AI is already estimated to be $1.2 trillion in 2018, and rising to $3.9 trillion by 2022. (Gartner)

The impact of AI will be felt differently across industries. Here is a breakdown from McKinsey which explains how deep neural networks can be used to improve performance beyond that provided by other analytic techniques. The difference from industry-to-industry is driven in part by how readily available the data is.

In AI Superpowers Kai-Fu Lee sets out that within ten to twenty years AI is "technically capable of automating 40 to 50 percent of jobs in the United States". With actual job losses has been estimated as closer to 20-25% by Bain and Company, it is no wonder that AI is being described as 'the fourth industrial revolution'.

An ecosystem of brands, platforms and technology vendors has built around AI, which DATAx events will bring together under one roof.

Here are some of the highlights for next week's event...

Five conferences, +100 presentations, one festival

DATAx New York has been designed from the ground up, with 5 conferences that will go deep into different areas of machine learning and data science.

Chief Data Officer Summit

• Google chief decision scientist Cassie Kozyrkov's opening keynote how to make data useful.
• General Electric chief commercial data scientist Cary Correia's presentation, Predictive marketing with advanced analytics.
• Microsoft AI & machine learning scientist Francesca Lazzeri's presentation, The Mindset for Innovation with Data Science: Emerging Technologies and Principles to Nurture a Healthy Data Science Function.
• Preview: Lazzeri spoke to us about how important it is companies create ethical AI

Deep into Machine Learning

• Meetup principal machine learning engineer Zachary Cohn's presentation: Sparking more Meetups with machine learning.
• Airbnb Senior machine learning software engineer Hangjun Xu talks about they use machine learning.
• WeWork senior product manager at Harsha Rao's presentation: How to build a lean recommendation engine.
• FanDuel's director of marketing science cautioned us on the dangers of making assumptions

AI & Big Data for Marketing Summit

• Disney-ABC Television Group VP of media strategy and planning Gary Shanas will be presenting: Inside. Outside. Tops-Down. Bottoms-Up. Crafting marketing analytics for the ever-changing world of television.
• Preview: In this article Shanas explains how to balance analytics with creativity
• Live Nation head of data product innovation Michael Finnegan will deliver a presentation titled: People-based marketing: The fan journey from digital to physical.
• NBC Universal VP of data technology and engineering Jeff Pinard will present: Uncovering opportunities to increase viewer effectiveness in media.

AI & Big Data for Pharma Summit 2018

• Johnson & Johnson senior VP and global head of data sciences Georgia Papathomas's keynote presentation: The changing face of healthcare in pharma.
• NYU Center for Data Science director Richard Bonneau's keynote presentation:Navigating the advanced analytics landscape.
• Boehringer Ingelheim head of health informatics and analytics Victoria Gamerman's case study: Applying advanced analytics to support of clinical drug development, drug lifecycle and commercialization.

AI & Big Data for Banking Summit

• Morgan Stanley VP lead data scientist Kenneth Yu Zhang's presentation: An exciting new Era in Banking: Artificial intelligence and machine learning.
• Martin Caupin from BNP Paribas, Somnath Roy from Barclays and Devanshu Mehrotra from MUFG will discuss How data analytics is driving the future of banking.
• Preview: Sarah Hoffman from Fidelity Investments delved into why it crucial for every firm to build an AI strategy

DATAx Tech Launchpad

• Meet some of New York's most innovative AI start-ups, including: Chameleon Metadata, ApotheCom, Pager and Newsela

Want to find out more?

We have published this free guide to AI and machine learning applications in banking, healthcare, marketing and more in this exclusive ebook from the DATAx team. DATAx Guide to AI and Machine Learning Trends in 2019