Global Artificial Intelligence Conference

Global Big Data Conference's vendor agnostic Global Artificial Intelligence(AI) Conference is held on January 19th, January 20th, & January 21st 2017 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.


Over 50 leading experts in Artificial Intelligence area will present at our conference. Please send an email to This email address is being protected from spambots. You need JavaScript enabled to view it. for speaking engagements.

You Get To Meet

You get to meet technical experts, Senior , VC and C-level executives from leading innovators in the AI space (Executives from startups to  large corporations will be at our conference.)

Who Should Attend:

CEO, EVP/SVP/VP, C-Level, Director, Global Head, Manager, Decision-makers,  Business Executives responsible for AI Intiatives, Heads of Innovation, Heads of Product Development, Analysts, Project managers, Analytics managers, Data Scientist, Statistician, Sales, Marketing, human resources, Engineers, AI & Software Developers, VCs/Investors, AI Consultants and Service Providers, Architects, Networking specialists, Students, Professional Services, Data Analyst, BI Developer/Architect, QA, Performance Engineers, Data Warehouse Professional, Sales, Pre Sales, Technical Marketing, PM, Teaching Staff,  Delivery Manager and other line-of-business executives

What you will learn

You'll get up to speed on emerging techniques and technologies by analyzing case studies, develop new technical skills through in-depth workshop, share emerging best practices in AI and  future trends.  The depth and breadth of what's covered at the annual Global AI conference requires multiple tracks/sessions.  You can either follow one track from beginning to end or pick the individual sessions that most interest you.


1. Industry Vertical Use Cases ( Where AI applications are working/not working, What hot Technologies are used to implement AI, How to develop AI applications etc..)

2. Cognitive Computing

3. Chatbot

4. Data Science, Machine Learning & Deep Learning

5. IoT

6. Security

7. NLP

8. Computer Vision

9. Home Assistant

10. Robotics

11. Neural networks

12. Data Mining and Data Analytics

13. Speech Recognition, Image processing, Unsupervised Learning

14. Workshops


Conference Location

Santa Clara Convention Center, 5001 Great America Parkway, Santa Clara, CA 95054 (map)

Conference Highlights

1000+ attendees

50+ Speakers

30+ Sessions

Keynote Sessions

Startup Pitch

Great Networking opportunity




Although Online Order using credit card is preferable, we accept several other types of payment:  Wire Transfer, checks and Invoices / Purchase orders.


Refund Policy

No refunds will be given for cancellations


8:30 AM - 9:00 AM Registration
9:00 AM - 9:40AM General Keynote: The State of AI (Jim Mchugh, VP, Nvidia)
9:40 AM - 10:20AM Use Case Track  :  Serving AI to Enterprise (Peter Brodsky, CEO, HyperScience)
Technical Track : Embeddable Deep Pose Estimation (Alex Londeree, Data Scientist, Knit Health)
10:20AM -10:40AM Break
10:40 AM - 11:20AM General Track : Product Liability Issues in AI Systems (Stephen Wu, Partner, Silicon Valley Law Group)
Technical Track: Using NLP, Machine Learning & Deep Learning algorithms to extract meaning from text (David Talby, VP, Atigeo)
11:20 AM - 12:00PM Keynote Use Case Track: Conversational AI in Amazon Alexa (Ashwin Ram, AI Researcher, Amazon)
12:00 PM - 1:0PM Lunch Break
1:00PM - 1:40PM General Track : Why is AI back in the spotlight? (Jordi Torras, CEO, Inbenta)
Use Case Track : AI in Medicine (Anthony Chang, Director, CHOC Children's Medical Intelligence and Innovation Institute)
1:40PM - 2:20PM Technical Track: Machine Learning at Scale (Aditya Kalro, Manager, Facebook)
Use Case Track : AI and the automation of the business back office (Kunal Verma, CTO, AppZen)
2:20PM - 3:00PM Use Case Track :  Applications of deep learning in game development (Dave Sullivan, Founder, Blackcloud BSG)
Use Case Track : How conversational commerce will revolutionise how we shop (Syed Ali Ahmed, Founder, Dispatch (Lutebox Ltd.))
3:00PM - 3:30PM Afternoon Break
3:30PM - 4:10PM Keynote Session
4:00PM - 4:40PM Use Case Track : Deep Learning Applications in Business (Diego Klabjan, Professor, Northwestern University)
4:40PM - 5:30PM

Keynote Panel: The Future of Artificial Intelligence


Day -2 (January 20th 8:45AM-6:00PM )

8:45 AM - 9:00 AM Registration
9:00 AM - 9:40 AM General Keynote Session
9:40 AM - 10:20 AM General Track: Artificial Intelligence Combined with Deep Learning (Bryan Bell, Executive Vice President, Expert System)
Use Case Track : How to Become a Self-Driving Car Engineer (David Silver, Self-Driving Car Lead, Udacity)
10:20AM - 10:40AM Break
10:40 AM - 11:20 AM Use Case Track: Using Ontologies and NLP to Diagnose and Address Logistics Challenges in Global Pharmaceutical Supply Chains (Elisa Kendall, Partner, Thematix)
Technical Track: Virtual Assistants and Art of Influence (Davood Shamsi, Researcher, AOL/Verizon)
11:20 AM - 12:00 PM Use Case Track : AI in commerce (Andy Pandharikar, CEO, COMMERCE.AI)
12:00 PM - 1:00PM Lunch Break
1:00 PM - 1:40PM Technical Track : AI Based Data Extraction (George Roth, CEO, Recognos)
Use Case Track :  IoT and Healthcare – Designing a New System to Predict Adverse Reactions (Ravi Srivatsav, VP Business Development, NTT Innovation Institute)
1:40 PM - 2:20 PM Use Case Track : Machine Learning for Cross-channel Advertising at scale with Apache Spark (Debajyoti Ray, Chief Data Officer, VideoAmp)
Use Case Track : Extracting profiles for People, Organizations and Beyond: Summarization on Steroids (Tatiana Erekhinskaya, Research Scientist, Lymba Corporation)
2:20 PM - 3:00 PM General Track : Why we don’t talk anymore How natural language delivers the intimacy to bring customers closer (Andy Peart, Chief Strategy Officer, Artificial Solutions)
Use Case Track : “From concept to launch –  The journey of AI"  (Mahesh Thakur, Small Business Leader, Intuit)
3:00PM - 3:30PM Break
3:30 PM - 4:10 PM General Session Track : The 7 Myths of AI (Robin Bordol, CEO, CrowdFlower)
4:10 PM - 4:50 PM Use Case Track:  AI in retail (Eldar Sadikov, CEO, Jetlore)
Technical Track: Real-time streaming data analysis with HTM (Yuwei Cui,  Artificial Intelligence Researcher, Numenta)
4:50 PM - 6:00 PM Keynote Panel: Solving Business Problems With AI

Day -2 (Jan 20th Workshop Track)

8:00AM - 9:00 AM Big Data & AI Technical Overview : Tutorial
9:00AM - 12:00 PM Machine Learning Workshop
12:00 PM - 1:00PM Lunch Break
1:00PM - 3:00PM Workshop: AI using Deep Learning in Azure (Anusua Trivedi, Data Scientist, Microsoft)
3:00PM - 3:30PM Break
3:30PM - 6:00PM Workshop : Building Chatbots (Anusua Trivedi, Data Scientist, Microsoft)

Day -3 (January 21st 8:45AM-6:00PM)

8:45AM - 9:00 AM Registration 
9:00AM - 10:00 AM TensorFlow in the Wild (Kaz Sato, Lead Developer Evangelist, Google)
10:00AM - 1:00 PM 3-hour Applied Tensorflow Tutorial (Rumman Chowdhury, Senior Data Scientist, Metis)
1:00 PM - 1:30PM Lunch Break
1:30PM - 6:00PM Workshop


- See more at: