Topic

The good, the hype, and the reality of making AI work in practice: Enterprise lessons from the front lines

Abstract

Artificial Intelligence (AI) has been receiving a lot of hype as a magical solution for many difficult problems. Some have started to worry that AI would not only take over their jobs but also take over control of work and perhaps personal life. In this talk, I attempt to demystify most of these concerns by simply describing in reality what has worked and what has not. It turns out, most of AI has failed (with some very notable exceptions) and this has led to two AI winters in the early 1980’s and in the Iate 1990’s. We are on the verge of a third AI winter. I present this in the context of my own version of a “Brief History of AI”. This will help us to crystallize what has actually worked and why. It turns out – Machine learning (ML) is behind most of what has worked. This has major implications as most of ML algorithms succeeded not because of great algorithm design, but primarily because a lot more data became available. This means that Data is critical to making ML work, and hence to making most of AI work. We thus go into what the issues are in making data, especially BigData – which allows for the utilization of the majority of data in any organization (unstructured data) to be utilized properly. Despite all the hype, with the right Data in place, ML/AI are making their way into all kinds of business operations today as more companies explore how they can put their data to work. Among the most common reasons to apply ML to business processes is the ability of the technology to perform certain functions at scale, which would otherwise require significant amounts of time and resources. It’s also common to rely on ML for processing large volumes of data analysis beyond what’s possible for human capability. Data is the fuel that drives a machine learning solution and machine learning is the key to make most AI algorithms practical.

We will include several case studies on how success was achieved and we highlight the right approach for creating an environment that enables successful machine learning and data science, especially leveraging unstructured data as a resource.

Profile

Usama Fayyad is CEO of Open Insights in Silicon Valley which he reactivated after leaving Barclays in London. He is also Interim CTO for Stella.AI a Mountain View, CA VC-Funded startup in AI for recruitment. He is acting as Chief Operations & Technology Officer for MTN’s new division: MTN2.0 aiming to extend Africa’s largest telco into new revenue streams beyond Voice & Data. Until October 2016 he was Group Chief Data Officer at Barclays in London where his global responsibilities included the Data Strategy, Data Governance, performance and management of operational and analytical data systems, as well as delivering value by using BigData and analytics to create growth opportunities and cost savings for the bank. Usama is co-founder of OASIS-500, a tech startup investment fund, following his appointment as Founding Executive Chairman in 2010 by King Abdullah II of Jordan. He was also Chairman, Co-Founder and Chief Technology Officer of Blue Kangaroo Corp, a mobile search engine service for offers based in Silicon Valley 2011-2013. In 2008, Usama founded Open Insights, a US-based data strategy, technology and consulting firm that helps enterprises deploy data-driven solutions that effectively and dramatically grow revenue and competitive advantage. Prior to this, he served as Yahoo!’s Chief Data Officer and Executive Vice President where he was responsible for Yahoo!’s global data strategy, architecting its data policies and systems, and managing its data analytics and data processing infrastructure. The data teams he built at Yahoo! collected, managed, and processed over 25 terabytes of data per day, and drove a major part of ad targeting revenue and data insights businesses globally. He was the first person in the world to hold the CDO title. In 2003 Usama co-founded and led the DMX Group, a data mining and data strategy consulting and technology company specializing in Big Data Analytics for Fortune 500 clients. DMX Group was acquired by Yahoo! in 2004. In 2000 Usama left his leadership position at Microsoft to co-found and serve as Chairman and CEO Audience Science (digiMine). At Microsoft he spent 5 years leading the data mining and exploration group at Microsoft Research and also headed the data mining products group for Microsoft’s server division. From 1989 to 1996 Usama held a leadership role at NASA’s Jet Propulsion Laboratory where his work garnered him the Lew Allen Award for Excellence in Research from Caltech, as well as a U.S. Government medal from NASA. Usama has published over 100 technical articles on data mining, Artificial Intelligence, machine learning, and databases. He holds over 30 patents, is a Fellow of the Association for Advancement of Artificial Intelligence and a Fellow of the Association of Computing Machinery. He has edited two influential books on data mining and served as editor-in-chief on two key industry journals. Usama earned his Ph.D. in engineering in AI/Machine Learning from the University of Michigan, Ann Arbor. He holds two BSE’s in Engineering, MSE Computer Engineering and M.Sc. in Mathematics. He is active in the academic community with several adjunct professor posts and is the only person to receive both the ACM’s SIGKDD Innovation Award (2007) and Service Award (2003). He serves on several private and company boards.

About the conference:

Global Big Data Conference’s vendor agnostic Global Artificial Intelligence(AI) Conference is held on October 1st, October 2nd, & October 3rd 2019 on all industry verticals(Finance, Retail/E-Commerce/M-Commerce, Healthcare/Pharma/BioTech, Energy, Education, Insurance, Manufacturing, Telco, Auto, Hi-Tech, Media, Agriculture, Chemical, Government, Transportation etc.. ). It will be the largest vendor agnostic conference in AI space. The Conference allows practitioners to discuss AI through effective use of various techniques.

Large amount of data created by various mobile platforms, social media interactions, e-commerce transactions, and IoT provide an opportunity for businesses to effectively tailor their services by effective use of AI. Proper use of Artificial Intelligence can be a major competitive advantage for any business considering vast amount of data being generated.

Artificial Intelligence is an emerging field that allows businesses to effectively mine historical data and better understand consumer behavior. This type of approach is critical for any business to successfully launch its products and better serve its existing markets.

Annual Global AI Conference is extended to three days based on feedback from participants. The event will feature many of the AI thought leaders from the industry. Annual Global AI Conference is an event acclaimed for its highly interactive sessions. This conference provides insights and potential solutions to address AI issues from well known experts and thought leaders through panel sessions and open Q&A sessions. Speakers will showcase successful industry vertical use cases, share development and administration tips, and educate organizations about how best to leverage AI as a key component in their enterprise architecture. It will also be an excellent networking event for Executives( CXO’s, VP, Directors), Managers, developers, architects, administrators, data analysts, data scientists, statisticians and vendors interested in advancing, extending or implementing AI.

EVENT SCHEDULE

DAY -1 (OCT 1ST 8:00AM-7:00PM )

8:00AM – 6:00PM	Registration
8:30 AM – 9:00AM	Business Track: Why ML Ops is your Business’ New Competitive Frontier (Ritu Jyoti, Vice President AI Strategies, IDC) (Room 253A) Business Track (Finance): The good, the hype, and the reality of making AI work in practice: Enterprise lessons from the front lines (Dr. Usama Fayyad, CEO, Open Insights & Ex Chief Data Officer, Barclays) (Room 252B)
9:00 AM – 9:40AM	Technical Track (Finance): Integrating Data and Machine Intelligence towards Customer Experiences (Nagen Shukla , Senior Manager Engineering, Capital One) (Room 253A) Business Track (Finance): Latest developments in deep learning in finance (Miquel Noguer Alonso, Founder, Artificial Intelligence Finance Institute) (Room 252B)
9:40 AM – 10:20AM	General Keynote : What’s Your AI Strategy? (William Thompson, Managing Director, Forbes) (Room 253A)
10:20AM -10:50AM	Break
10:50 AM – 11:30AM	Technical Track: Understanding Anomalous Network Behavior with AI and ML (Nikita Butakov, Data Scientist, Ericsson) (Room 253A) Business Track (Finance):Why are banks using AI in their back office functions? (Swapna Malekar, Product Management, Royal Bank of Canada) (Room 252B)
11:30 AM – 12:10PM	Technical Track (Finance): How to solve the curse of imbalanced data (SK Reddy, VP Data and AI, Fidelity Investments) (Room 253A)
12:10 PM – 12:50PM	Keynote Panel – Finance Track: AI in Finance (Room 253A) Swapna Malekar (Product Management, Royal Bank of Canada) Asya Bradley (VP, Socure) Niraj Tank (Senior Manager Engineering, Capital One) Anurag Yadav (CEO, PrimaFelicitas & Stanford) – Moderator Technical Track: Productive machine learning workflows in a hybrid cloud MLops world (Misha Kutsovsky, Product Management, Paperspace) (Room 252B)
12:50 PM – 1:50PM	Mentoring Lunch Session With Speakers (Access only to VIP, Platinum & Diamond Pass Holders only) AI in Finance AI in Blockchain Career Development The State of NLP Raising Money for AI Startups Visual Analytics Voice Engineering
1:50PM – 2:30PM	Technical Track (Finance): Machine Learning For Finance (Bruno Dupire, Head of Quantitative Research, Bloomberg) (Room 253A) Business Track: Data Science for Business (Anurag Wakhlu, Director, Dassault Systemes) (Room 252B)
2:30PM – 3:10PM	Keynote : AI is a Waste of Money (Arijit Sengupta, CEO, AIble) (Room 253A)
3:10PM – 3:40PM	Afternoon Break
3:40PM – 4:20PM	Business Track (Finance): Role of Big Data in Financial Services Industry (Ajay Jain, Executive Director, CME Group Inc) (Room 253A) Technical Track: Predicting Hybrid-Cloud Capacity with Regression Models and Steady State metrics (Idris Iqbal Tarwala, Cloud Performance Lead/Architect, WalmartLabs) (Room 252B)
4:20PM – 5:00PM	Panel: Leveraging AI and Technology to deliver a best in class user experience in Financial Services (Room 253A) Asya Bradley (VP, Socure) Erick Soto (VP of Product, Socure) Josh Goldenberg (Global Head Of AI, Ocrolus) Elizabeth Sabbatini (Director of Customer Success, Ocrolus) Technical Track (Finance): Operationalize ML by empowering people (Niraj Tank, Senior Manager Engineering, Capital One & Jeffrey Sharpe, Manager, Capital One) (Room 252B)
5:00PM – 6:00PM	Keynote Panel: Solving Business Problems with AI (Room 253A) Sreekar Bhaviripudi (Manager, Amazon) Jerry Gupta (SVP, Swiss Re) Rajesh Vadlamudi (Solutions Manager, Paperspace) Dr. Usama Fayyad (CEO, Open Insights & Ex Chief Data Officer, Barclays) Alan Louie (Research Director Life Sciences, IDC Health Insights) – Moderator
5:30PM – 6:00PM	Business Track (Insurance): Can Insurance Be Intelligent? The Present and Future of AI and Big Data in Insurance (Eric Biderman, Counsel, Arent Fox) (Room 252B)
6:00PM – 7:00PM	PM RECEPTION

DAY – 1 (OCT 1ST WORKSHOP TRACK)

12:50 PM – 1:50PM	Mentoring Lunch Session With Speakers (Access only to VIP, Platinum & Diamond Pass Holders only)
9:00AM – 12:50 PM	Hands on Workshop: Spam filtering using various Supervised Learning models (Rick Gaston, Manager, Udacity) (Room 251)
2:00PM – 6:00PM	Workshop: Design Thinking for AI & Machine Learning: Methods and practices for human-centred AI solutions (Ramy Nassar, Founder, 1000 Days Out) (Room 251)

DAY – 1 (OCT 1ST EXHIBIT HOURS) 9AM-7:00PM

DAY -2 (OCT 2ND 8:30AM-6:00PM )

7:45 AM – 6:00 PM	Registration
8:00 AM – 8:30 AM	Business Track: Data Science in large enterprises. Data science for operations, manufacturing, supply chain. New technology development and Biopharma. (Erez Kaminski, Leader In Artificial Intelligence Solutions, MIT) (Room 253A)
8:30 AM – 9:00 AM	Business Track: How to Identify Opportunities to use AI to Generate New Revenue (Eric Jensen, CEO, Savvai)(Room 253A) Business Track: Scaling AI and Machine Learning with Containers and Kubernetes (Tushar Katarki, Product Management, Red Hat) (Room 252B)
9:00 AM – 9:40 AM	Business Track: Successful Big data strategy: myths and learnings from enterprise transformation to product innovation (Shahidul Mannan ,Head Of Data Eng & Innovation, DAO, Partners Healthcare) (Room 253A)
9:40 AM – 10:20 AM	General Keynote Session : How to extract stories from your data and tell them visually? (Ambal Balakrishnan, Director, IBM) (Room 253A)
10:20AM – 10:50AM	Break
10:50 AM – 11:30 AM	Retail/E-Commerce Track: Solving Challenging e-Commerce Problems Using Different Aspects of Data Science (Khalifeh AlJadda, Sr. Manager Data Science, Home Depot) (Room 253A) Technical Track: Data doesn’t lie… and other lies (Sneha Jha, Senior Researcher, Nuance Communications) (Room 252B)
11:30 AM – 12:10 PM	Retail/E-Commerce Track: Scaling and Deploying AI in ecommerce : The personalization journey (Sunanda Koduvayur Parthasarathy, Associate Director Data Science, Wayfair) (Room 253A) Technical Track: A/B Testing AI (Pavel Dmitriev, VP Data Science, Outreach) (Room 252B)
12:10 PM – 12:50 PM	Keynote Panel : AI in Retail/E-Commerce (Room 253A) Khalifeh AlJadda (Sr. Manager Data Science, Home Depot) Sunanda Koduvayur Parthasarathy (Associate Director Data Science, Wayfair) Jonathan Wray (Founder, Aible) Shahidul Mannan (Head Of Data Eng & Innovation, DAO, Partners Healthcare) – Moderator Technical Track: Kubeflow v0.6 Software Release – Community Update & Demonstration for ML Engineers and Data Scientists (Josh Bottum, VP, Arrikto) (Room 252B)
12:50 PM – 1:50PM	Mentoring Lunch Session With Speakers (Access only to VIP, Platinum & Diamond Pass Holders only) AI in Retail AI in Blockchain Raising Money for AI Startups Startup Pipelines Career Development Data Science Collaboration Tools & Best Practices Leadership in an Automated World with Machine Intelligence Tensorflow
1:40 PM – 2:30PM	Keynote Panel : AI from Investment perspective (Room 253A) Adrian Mendoza (General Partner & Founder, Mendoza Ventures) Isaiah Kacyvensk (Managing Partner, Will Ventures) Benjamin Gorman (Investor, F-Prime Capital) Sarah Fay (Managing Director, Glasswing Ventures) Sam Foster (Managing Director, Pennant Equity Partners, LLC) Anurag Yadav (CEO, PrimaFelicitas & Stanford) – Moderator
1:50 PM – 2:30PM	Business Track: Why isn’t your company seeing huge gains from data science and AI? (Jamie Warner, Director Data Science, Lincoln Financial) ( 1:50PM- 2:10PM 20min) (Room 252B) Technical Track: Examples of using predictive analytics within K-12 education (Rich Huebner, Director Data Science, Houghton Mifflin Harcourt) (2:10PM-2:30PM 20 min)(Room 252B)
2:30 PM – 3:10 PM	Business Track: A comprehensive approach to protecting your image processing pipelines against manipulation (Vikas Vats, Chief Analytics Officer, Verisk) (Room 253A) Technical Track: Natural language processing for music information technology (Shuo Zhang, Sr. Machine Learning Engineer, Bose Corporation) (Room 252B)
3:10PM – 3:40PM	Break
3:40 PM – 4:20 PM	Business Track: Acclimate with Voice Of Customer (Helen Yu, CEO, Tigon Advisory Corp.) (3:40PM-4:00PM 20 minutes) (Room 253A) Business Track: Creating value with AI: Building and managing data science teams for maximum business impact (Bülent Kiziltan, Founder, Stealth Startup) (4:00PM-4:20PM 20 minutes) (Room 253A) Technical Track: Fast Scans for Continuous Variable Predicate Workloads (Edward Schwalb, Technical Architect, MSC Software) (40 Minutes) (Room 252B)
4:20 PM – 5:00 PM	Business Track: Empowering Your Organization Through Data Literacy: What it is data literacy, why I want it, and how I can help drive change? (Dave Mathias, Co-Founder, Beyond the Data) (Room 253A) Business Track: How to Make Artificial Intelligence Work for Your Organization (Kevin Sieck, Regional Sales Director,Orion Governance) (Room 252B)
5:00 PM – 6:00 PM	Keynote Panel: The Future of Artificial Intelligence (Room 253A) Rich Huebner (Director Data Science, Houghton Mifflin Harcourt) Dave Mathias (Co-Founder, Beyond the Data) Kevin Sieck (Regional Sales Director, Orion Governance) Bülent Kiziltan (Founder, Stealth Startup) Jamie Warner (Director Data Science, Lincoln Financial) Shahidul Mannan (Head Of Data Eng & Innovation, DAO, Partners Healthcare) – Moderator
5:00 PM – 5:30 PM	Business Track: Avoid the pitfalls of ineffective data strategies and unhappy customers – why design thinking is the key to achieving the best data-driven customer experience (Nicole Cacal, Founder, Mastermindai) (Room 252B)

DAY – 2 (OCT 2ND WORKSHOP TRACK)

12:50 PM – 1:50PM	Lunch Break
9:00AM – 12:50 PM	Hands on Workshop: TFX: Production ML Pipelines with TensorFlow Workshop (Ruoyu Liu, Senior Software Engineer, Google) (Room 251)
2:00PM – 6:00PM	Workshop: Building Real World AI Solutions (Alexander Liss, Director – Digital Platform, AI & DS Engineering, Ancestry.Com) (Room 251)

DAY – 2 (OCT 2ND EXHIBIT HOURS) 9AM-6:00PM

DAY -3 (OCT 3RD 8:30AM-6:00PM )

8:30 AM – 5:00 PM	Registration
9:00 AM – 9:40 AM	Business Track (Healthcare): How Data, AI, and Analytics are getting impacted by Blockchain (Anurag Yadav, CEO, PrimaFelicitas) (Room 253A) Technical Track: How to efficiently manage groundwater resources using GA-based ANN algorithm? (Nikunja Dash, Architect, Oracle) (Room 252B)
9:40 AM – 10:20 AM	Keynote Session: Utilizing systems-level representation to reduce prediction uncertainty of high-stakes events (Vijayant Kumar, VP Predictive Analytics, Sentient Science) (Room 253A) Technical Track: Utilizing Reinforcement learning and Machine learning for workforce expansion in the nonprofit industry (Nima Abbasi, Director Data Science, Gravyty) (Room 252B)
10:20AM – 10:50AM	Break
10:50 AM – 11:30 AM	Business Track (Healthcare): AI and Machine Learning in Clinical Trials: Real-life use cases using a modern, cloud-based and scalable platform-centric approach (Dr. Prakriteswar Santikary, Chief Data Officer, ERT) (Room 253A) Technical Track: Semantic SentenceRank to Facilitate Reading for Understanding (Jie Wang, Professor, Univ. of Massachusetts Lowell) (Room 252B)
11:30 AM – 12:10 PM	Technical Track (Healthcare) : Deep Learning for Radiology Text Report Classification (Sadid Hasan, Senior Research Scientist, Philips Research) (Room 253A) Business Track: How AI is Disrupting the Workplace (Ken Lazarus, CEO, Scout Exchange) (Room 252B)
12:10 PM – 12:50PM	Keynote Panel: AI Adoption In Healthcare: Real-World Use Cases (Room 253A) Dr. Prakriteswar Santikary (Chief Data Officer, ERT) Jonathan Wray (Founder, Aible) Sujay Kakarmath (Physician Scientist, Partners Healthcare & Harvard Medical School) Sadid Hasan (Senior Research Scientist, Philips Research) Chris Requena (Co-Founder, Boston New Technology) – Moderator Technical Track: Financial Loan Risk Analysis Using Keras Deep Learning (Martin Lurie, Sr Systems Engineer, Cloudera) (Room 252B)
12:50 PM – 1:50PM	Mentoring Lunch Session With Speakers (Access only to VIP, Platinum & Diamond Pass Holders only) AI in Healthcare AI and IoT AI in Blockchain Testing AI-Based Systems KubeFlow Data Science in Python
1:50 PM – 2:30PM	Business Track (Healthcare/Pharma/BioTech): Patient-Centric AI: Saving Lives with ML-Driven Hospital Interventions (Miguel Martinez, Data Scientist, UnitedHealth Group) (Room 253A) Business Track: Ethical dilemmas of AI/Big Data (James Brusseau, PhD, Data Ethics Site / Pace University NYC) (Room 252B)
2:30 PM – 3:10 PM	Business Track: Leadership Development Through Augmented Training and Coaching (Beth Porter, CEO, Riff Learning) (Room 253A)
3:10PM – 3:40PM	Break
3:40 PM – 4:20 PM	Business Track (Finance): Multivariate Time Series and Deep Learning (Victor Martinez, Managing Director, State Street Corp) (Room 253A)
4:20 PM – 5:00 PM	Business Track: It’s not really AI – lessons learned while implementing enterprise NLP and ML for major financial services brands (Evan Gerber, Head of Digital Experience, C Space) (Room 253A) Business Track (Healthcare) : Importance of clinical context in evaluating machine learning-based solutions for healthcare (Sujay Kakarmath, Physician Scientist, Partners Healthcare & Harvard Medical School) (Room 252B)
5:00 PM – 5:30 PM	Keynote: Top Ten Takeaways from the Global Artificial Intelligence Conference Oct 1-3 Boston (Room 253A) Evan Gerber (Head of Digital Experience, C Space) Sujay Kakarmath (Physician Scientist, Partners Healthcare & Harvard Medical School) Victor Martinez (Managing Director, State Street Corp) Anurag Yadav (CEO, PrimaFelicitas & Stanford) – Moderator

DAY – 3 (OCT 3RD WORKSHOP TRACK)

12:50 PM – 1:50PM	Lunch Break
9:00AM – 12:50 PM	Workshop: Hands on Workshop : KubeFlow (Josh Bottum, VP, Arrikto) (Room 251)
2:00PM – 6:00PM	Workshop: Intro to Data Science and Machine Learning in Python (Nirav Shah, Founder, OnPoint Insights & Paul Conway, Founder, Covidea) (Room 251)