Speakers

Hear from the best and brightest executive speakers how AI is transforming industry
Amr Awadallah
Amr Awadallah

Co-Founder And CTO

Cloudera

The 6th Wave Of Automation

Abstract

In this talk Dr. Amr Awadallah will go over what he refers to as the 6th wave of automation, the automation of decisions. Amr will explain what that wave means, the key underlying algorithms for it, then will go over a number of practical examples from the Cloudera customer base that illustrate how that wave is manifesting itself.

Bio

Dr. Amr Awadallah is Co-Founder and CTO of Cloudera since it was formed in Oct 2008. Before that he was an Entrepreneur-in-Residence at Accel Partners for about 3-months. Prior to joining Accel he served as Vice President of Product Intelligence Engineering at Yahoo!, and ran one of the very first organizations to use Hadoop for data analysis and business intelligence. Amr joined Yahoo after they acquired his first startup, VivaSmart, in July of 2000. Amr holds a Bachelor’s and Master’s degrees in Electrical Engineering from Cairo University, Egypt, and a Doctorate in Electrical Engineering from Stanford University.

Beena Ammanath
Beena Ammanath

Founder

Humans for AI Inc

Beena Ammanath, Humans for AI Inc

Bio

Beena is the founder of Humans For AI , a non-profit focused on building out a more diverse workforce for tech for the future leveraging AI. She believes that t he workforce of the future needs to be AI-savvy, so we have a unique opportunity to make this future tech workforce as diverse as the real world.

She is also an award winning senior executive leader with extensive global experience in digital transformations, artificial intelligence, big data and the IoT space. Her knowledge spans across e-commerce, financial, marketing, telecom, retail, software products, and industrial domains. Her corporate leadership experience has influenced the global strategic direction and implementation of innovative solutions with marquee companies such as GE, Thomson Reuters, British Telecom, Bank of America and E*TRADE as well as a number of Silicon Valley startups.

Beena has been honored several times for her contribution to tech and her philanthropic efforts, including the San Francisco Business Times’ 2017 Most Influential Women in Bay Area , WITI’s Women in Technology Hall of Fame , National Diversity Council’s Top 50 Multicultural Leaders in Tech , CIO.com and Drexel University’s Analytics 50 innovator, Forbes Top 8 Female Analytics Experts and Women Super Achiever Award from World Women’s Leadership Congress.

Peter Guerra
Peter Guerra

Chief Cyber Data Scientist

Booz Allen Hamilton

Peter Guerra, Booz Allen Hamilton

Bio

As a chief data scientist, Peter Guerra leads the firm’s cybersecurity data science and artificial intelligence business. He provides strategy and technical leadership for agencies such as the Department of Defense, the FBI, and the Department of Homeland Security. He has consulted with chief information officers at Fortune 500 companies including Microsoft, Amazon, and Facebook. Peter also sits on the advisory board for the Information Science and Operations Management department at Loyola University Maryland.

Ram Ravichandran
Ram Ravichandran

Director Of Analytics

Visa

Selling AI to your boss

Abstract

Although Artificial Intelligence is a fancy technology today and everyone outwardly wants an AI, it is not always easy to sell it across organizations for good reasons. Organizations have learnt from past mistakes to be on the watch of “shiny objects syndrome” and have rigorous checks to identify the fit with Corporate objectives and goals. Also not every organization, team or problem needs or is ready for an AI solution. Cognitive Analytics & Artificial Intelligence based solutions require a highly mature analytics program to be effective. The initial investments are significant, the waiting period are significant because of the learning curve and the RoI are not always realized right away. This presentation will cover the Strategy, Execution and Transformation aspects of a successful migration up the Analytics Value chain and pitfalls to watch out for.

Bio

As the Director of Analytics & A/B Testing, I am responsible for enabling a Data Driven Decision Making culture via quantifiable impact and actionable insights. The team’s responsibilities span facilitating Strategy, optimizing execution and driving value with the Analytics Value Chain for stakeholders across Product, Marketing and Relationship Management. Critical focus areas are Conversion Rate Optimization, Customer Lifecycle Management and Voice of Customer. A fervent believer in power of data, importance of iterative learning, valuing customer feedback and delivering easy to adopt solutions. Hit me up on value of Big Data, Responsible leadership with Data and Artificial Intelligence applications.  
Disclaimer:Everything (participation, content, views, opinions) are personal and do not represent Visa Inc in any form or matter. Content based on general learning.

Ashok Ramani
Ashok Ramani

Product Lead, Big Data

ebay Inc

Ashok Ramani, ebay Inc

Bio

Ashok is a multi-faceted product leader with a passion for Consumer Experiences as well as Data and Internet Platforms that enable consumer experiences. He enjoys working in fast-paced environments with creative and high-performing people! 

Ashok has led Product, UX and Engineering teams globally for 18+ years at eBay, Yahoo!, IBM, startups, Vitria; envisioning and launching top-notch consumer products as well as platforms, enabling new markets and revenue streams.

Kamelia Aryafar
Kamelia Aryafar

Director Of Machine Learning

Overstock

Machine Learning and Data Science in E-Commerce

Abstract

Machine learning is at the heart of e-commerce in various products, from personalized search to recommendations and personalization. In this talk, Kamelia will walk you through multiple machine learning and data science use cases in e-commerce and how they can help transform your business.

Bio

Kamelia Aryafar, Ph.D. is the Director of Machine Learning (ML) at Overstock. She leads a team of data scientists and machine learning engineers focused on building scalable ML/AI and computer vision tools to curate
a personalized experience for Overstock users. Prior to Overstock she has been a Senior Data Scientist at Etsy for more than four years. Before Etsy, she was doing a Ph.D. in computer science
and machine learning in Drexel University, building large-scale music classification models. 
Debajyoti (Deb) Ray
Debajyoti (Deb) Ray

CTO

EndCue

Debajyoti (Deb) Ray, EndCue

Bio

Debajyoti (Deb) Ray is the CTO of EndCue, where he leads the development of EndCue’s artificial intelligence platform for analyzing and generating original content.

Previously, Deb was the Chief Data Officer for VideoAmp, a cross-screen data and buying platform for digital video and TV advertising, where he continues to serve as an Advisor. Prior to that, he was the Chief Scientist of Pasadena Labs, where he built a ML-based hyperlocal ad platform used by clients such as Microsoft and IAC. He developed computer vision products at Microsoft Research, and deep learning algorithms for high-frequency trading.

Deb is also a Fund-advisor and L.P. at Signalfire, a VC firm based in San Francisco. Deb completed his PhD at Caltech in Computation and Neural Systems, has been awarded several patents, and his publications are highly cited.

Ron Bodkin
Ron Bodkin

Vice President & General Manager, Artificial Intelligence

Teradata

AI for Anti-Fraud Solutions

Abstract

Innovative financial institutions are enhancing existing fraud detection engines with deep learning algorithms that can analyze thousands of complex features across channels and over time and integrating cyber security information. This is leading to significantly higher fraud detection rates and fewer false positives.  As fraudsters rapidly evolve their nefarious capabilities and exploit increased financial digitization, banks are realizing that existing analytic techniques based on hand written rules, isolated intuition, light analysis, and manual response are no longer satisfactory.   

In this session, we’ll explore how leading banks are using deep learning for better fraud detection and changing business processes to be AI-first based on customer experience. We look at approaches to explaining black-box models and the shift from reactive work for investigators to proactive improvement. We also discuss incremental adoption to AI.

Bio

Ron is responsible for leading a cross-functional team spanning product development, strategic offerings, and analytics consulting. The team’s charter is to identify and commercialize value that AI technologies (notably Deep Learning with neural networks) can provide to Teradata. The AI team is developing product offerings and integration into existing Teradata products, defining priority use cases and valuable solutions for customer applications and internal uses of AI to improve the existing offerings and business operations of Teradata’s.

Previously, Ron was the founding CEO of Think Big Analytics. Think Big provides end to end support for enterprise Big Data including data science, data engineering, advisory and managed services and frameworks such as Kylo for enterprise data lakes. Think Big was acquired by Teradata in 2014 and was the leading global pure play big data services firm.

Lukas Biewald
Lukas Biewald

Founder & Chief Data Scientist

CrowdFlower

Deep Learning in the Real World

Abstract

As company take machine learning out of R&D and into production they face a whole set of new challenges. Human in the loop, active learning and transfer learning are all essential design patterns for making deep learning real.

Bio

Lukas Biewald is the founder and Chief Data Scientist of CrowdFlower. Founded in 2009, CrowdFlower is a data enrichment platform that taps into an on-demand to workforce to help companies collect training data and do human-in-the-loop machine learning.
 
Following his graduation from Stanford University with a B.S. in Mathematics and an M.S. in Computer Science, Lukas led the Search Relevance Team for Yahoo! Japan. He then worked as a senior data scientist at Powerset, acquired by Microsoft in 2008. Lukas was featured in Inc Magazine’s 30 Under 30 list. 
 
Lukas is also an expert level Go player.
Sumit Gupta

Sumit Gupta

Vice President - Cognitive Business Systems

IBM

Summit Gupta, IBM

Bio

Sumit Gupta is a Vice President in the IBM Cognitive systems business, responsible for offering (product) and business management for High Performance Computing (HPC), Machine and Deep Learning, and High Performance Data Analytics (HPDA). With over 20 years of experience, Sumit is a recognized industry expert in the fields of HPC, deep learning, and data analytics.  Sumit has been instrumental in formulating IBM’s PowerAI deep learning software offering.

Sumit joined IBM in 2015 from NVIDIA, where he was the general manager for the Tesla GPU accelerator business. He was central in building this startup business within NVIDIA from zero to a several hundred million dollar business and in building its large developer ecosystem and deep learning strategy. Sumit is a product management, marketing, and business leader for enterprise systems and software products. He has previously held positions in marketing, business strategy, and engineering at Tensilica, Tallwood Venture Capital, Intel, S3, and IBM. Sumit has a Ph.D. in Computer Science from the University of California, Irvine, and a Bachelor of Technology in Electrical Engineering from the Indian Institute of Technology, Delhi. He has authored one book, one patent, several book chapters and more than 20 technical publications.

Marc Maleh
Marc Maleh

Global Director

Havas

Panel- Designing with AI: A new era of opportunity, challenges and collaborations

Abstract

Design and Digital marketing with AI: A new era of opportunity and challenges

Data is no longer just the input that informs and measures a consumer’s brand experience; it is increasingly the product, the content, and even the campaign with its own creative identity.

AI and machine learning is transforming vast reams of raw data into a whole new breed of brand engagements and disrupting the way brands are connecting with their consumers. Data now has a face, voice, a look and a language that speaks to consumers in a precise way. For creators, that means the old rules of creativity no longer apply. What does the creative process look like in this new landscape? As brand guardians, how can we win consumers hearts with these innovations? What are the challenges and pitfalls of operationalizing these initiatives?

Bio

Marc has over 13 years of experience in interactive and emerging technology. Prior to his role as Global Director of Cognitive at Havas Marc served as VP, Managing Director at R/GA, where he helped grow a team of Data Scientists, technologists, and creatives who built data driven platforms and campaigns for Nike, LA Dodgers, MD Anderson Cancer Research Center, Samsung and Verizon.  Marc has also managed international design and technology teams in New York and Shanghai for Screampoint, working with clients that included Apple, AIG, World Trade Center Development, Hudson Yards Development and Jamba Juice. Marc has been a Judge at the Cannes International Festival of Creativity and has spoken at Fast Company Innovation Festival, Venture Beat AI Conference,  NYC Media Lab, General Assembly, NYU, Parsons and Montana State University.