Skip Main Navigation
Page Content

Save This Event

Event Saved

Group tickets for 3rd Annual Global Artificial Intelligence Conference Santa Clara January 2019

Global Big Data Conference

Wednesday, January 23, 2019 at 7:30 AM - Friday, January 25, 2019 at 9:00 PM (PST)

Group tickets for 3rd Annual Global Artificial...

Ticket Information

Ticket Type Price    
Bronze (Any 1 day Pass) - Group of 3 to 4
Sales End Jan 25, 2019 More info
from $405.00
Full price
$450.00 +$0.00 Fee
TEST10
$405.00 +$0.00 Fee
Silver ( Any 2 Days) - Group of 3 to 4
Sales End Jan 25, 2019 More info
from $495.00
Full price
$550.00 +$0.00 Fee
TEST10
$495.00 +$0.00 Fee
Gold (All 3 days) - Group of 3 to 4
Sales End Jan 25, 2019 More info
from $675.00
Full price
$750.00 +$0.00 Fee
TEST10
$675.00 +$0.00 Fee
Workshop - Group of 3 to 4
Sales End Jan 25, 2019 More info
from $675.00
Full price
$750.00 +$0.00 Fee
TEST10
$675.00 +$0.00 Fee
Platinum (All 3 Days)
Sales End Jan 25, 2019 More info
from $899.10
Full price
$999.00 +$0.00 Fee
TEST10
$899.10 +$0.00 Fee
VIP ( All 3 Days)
Sales End Jan 25, 2019 More info
from $989.10
Full price
$1,099.00 +$0.00 Fee
TEST10
$989.10 +$0.00 Fee
Diamond (All 3 Days)
Sales End Jan 25, 2019 More info
from $1,709.10
Full price
$1,899.00 +$0.00 Fee
TEST10
$1,709.10 +$0.00 Fee
Bronze (Any 1 day Pass) - Group of 5 to 8
Sales End Jan 25, 2019 More info
from $360.00
Full price
$400.00 +$0.00 Fee
TEST10
$360.00 +$0.00 Fee
Silver (Any 2 days) - Group of 5 to 8
Sales End Jan 25, 2019 More info
from $450.00
Full price
$500.00 +$0.00 Fee
TEST10
$450.00 +$0.00 Fee
Gold (All 3 days) - Group of 5 to 8
Sales End Jan 23, 2019 More info
from $630.00
Full price
$700.00 +$0.00 Fee
TEST10
$630.00 +$0.00 Fee
Workshop - Group of 5 to 8
Sales End Jan 25, 2019 More info
from $630.00
Full price
$700.00 +$0.00 Fee
TEST10
$630.00 +$0.00 Fee
Platinum (All 3 Days) - Group of 5 to 8
Sales End Jan 25, 2019 More info
from $809.10
Full price
$899.00 +$0.00 Fee
TEST10
$809.10 +$0.00 Fee
VIP ( All 3 Days) - Group of 5 to 8
Sales End Jan 25, 2019 More info
from $899.10
Full price
$999.00 +$0.00 Fee
TEST10
$899.10 +$0.00 Fee
Diamond (All 3 Days) - Group of 5 to 8
Sales End Jan 25, 2019 More info
from $1,529.10
Full price
$1,699.00 +$0.00 Fee
TEST10
$1,529.10 +$0.00 Fee
Bronze (Any 1 day Pass) - Group of 9 to 12
Sales End Jan 25, 2019 More info
from $315.00
Full price
$350.00 +$0.00 Fee
TEST10
$315.00 +$0.00 Fee
Silver (Any 2 days) - Group of 9 to 12
Sales End Jan 25, 2019 More info
from $405.00
Full price
$450.00 +$0.00 Fee
TEST10
$405.00 +$0.00 Fee
Gold (All 3 days) - Group of 9 to 12
Sales End Jan 25, 2019 More info
from $540.00
Full price
$600.00 +$0.00 Fee
TEST10
$540.00 +$0.00 Fee
Workshop - Group of 9 to 12
Sales End Jan 25, 2019 More info
from $540.00
Full price
$600.00 +$0.00 Fee
TEST10
$540.00 +$0.00 Fee
Platinum (All 3 Days) -Group of 9 to 12
Sales End Jan 25, 2019 More info
from $585.00
Full price
$650.00 +$0.00 Fee
TEST10
$585.00 +$0.00 Fee
VIP ( All 3 Days) - Group of 9 to 12
Sales End Jan 25, 2019 More info
from $675.00
Full price
$750.00 +$0.00 Fee
TEST10
$675.00 +$0.00 Fee
Diamond (All 3 Days) - Group of 9 to 12
Sales End Jan 25, 2019 More info
from $1,349.10
Full price
$1,499.00 +$0.00 Fee
TEST10
$1,349.10 +$0.00 Fee

Share Group tickets for 3rd Annual Global Artificial Intelligence Conference Santa Clara January 2019

Event Details

Global Artificial Intelligence Conference is on Jan 23rd, 24th and 25th  2019.

This is SOLELY FOR GROUP tickets for  3rd Annual Global Artificial Intelligence(AI) Conference. If you are interested in single passes, please check here.

Global Big Data Conference's vendor agnostic 3rd Annual Global Artificial Intelligence(AI) Conference is held on January 23rd, January 24th, & January 25th 2018 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.

Speakers
Over 100 leading experts in Artificial Intelligence area will present at our conference. Please send an email to events@globalbigdataconference.com 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, Statistian, 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

  • 3000+ attendees
  • 100+ Speakers
  • 80+ Sessions
  • Keynote Sessions
  • Startup Pitch
  • Great Networking opportunity
  • Workshops

Payment

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

Attendee Companies

  • 110 Consulting
  • 0Xdata
  • 21CT
  • Accenture
  • ACI Worldwide
  • Adobe 
  • Advantage 2000 Inc
  • Agero
  • Agilent
  • AlixPartners LLP
  • Altamira Technologies Corporation
  • Altera Corporation
  • Altoros
  • AM Solutions
  • Amatra
  • Amazon
  • American Academy Of Physician Assistants
  • American Express
  • Analytics Automata
  • Ancestry.Com
  • AOL
  • Apple
  • Aricent
  • Armanino
  • Arris
  • Assia Inc
  • AT&T
  • Athena
  • Atscale
  • Auction.Com
  • AustinCSI
  • Ayasdi
  • Badgeville
  • BancVue
  • Bank of America
  • Bank of Tokyo
  • Battery Ventures
  • Bayessoft
  • Beats Electronics
  • Big Data Architects
  • Blacklight Solutions
  • Bloomberg
  • Blue Cross Blue Shield
  • BlueTalon
  • Bose
  • Brierley + Partners
  • British Petroleum
  • BROADCOM
  • C.A.P
  • CA Technologies
  • Calpont
  • Calxeda
  • Canon
  • Capital One
  • Capitol Information Group
  • Caspida
  • Center for Naval Analyses
  • Centrify Corp
  • Cequint
  • CGG
  • Charles Schwab
  • Chevron
  • ChinaLink Professional Services
  • CiberOC
  • Cisco Systems
  • CISCO-WEBEX
  • Citigroup
  • Citrix Systems
  • Clarity Solution Group
  • Clerysys Inc
  • Click Security
  • Cloudera
  • CloudGenix
  • CNCS
  • Cobalt Talon
  • Cognizant
  • Comcast
  • CompuMatrice
  • Conifer Health Solutions
  • Context Business Intelligence Ltd.
  • Continuum Analytics
  • Corpus
  • Costco
  • Couchbase
  • Cray
  • Credera
  • CSC
  • CTS
  • Data Community DC
  • Data Paradigm
  • DataStax
  • Declara
  • Dejalytics
  • Dell
  • Deloitte
  • Delta Dental
  • Dick's Sporting Goods
  • Digital Matrix Systems
  • Double Check Consulting
  • Double Line Partners
  • DST Systems
  • eBay
  • EcubeInfo
  • Edgespring
  • Elephant Scale
  • EMC
  • Emulex
  • ePOSa
  • Epsilon
  • Ericsson
  • Ex Google & CEO Stealth
  • Exxon Mobil
  • Facebook
  • Fannie Mae
  • Farmers Insurance
  • FedEx
  • FI Consulting
  • Fiserv
  • Flux Capacitor
  • Fordham University
  • Wrigley
  • Foundationdb
  • Foursquare
  • Franklin Templeton
  • Franklin Templeton Investments
  • Fremont Bank
  • Frontline Systems
  • Fujitsu
  • Fulcrum Technologies
  • Futurewei Technologies
  • Gainsight
  • GAP
  • Gazzang
  • GE
  • Genentech
  • genomic health
  • Gild
  • Gild inc.
  • Globalscape
  • Gooddata
  • Google
  • Grainger
  • Graphistry
  • Gravitant
  • Groupon
  • Guavus
  • Halliburton
  • Harman International
  • HCL
  • Hewlett Packard
  • Hitachi Consulting
  • Hive Technologies
  • Home Depot
  • Hood College
  • Hortonworks
  • Host Analytics Software
  • HP Enterprise Services
  • Huawei
  • IBM
  • Idea Cellular Limited
  • iDirect
  • IGT
  • IHS
  • Image in Asian Television
  • Impetus
  • Impetus Technologies
  • Infochimps
  • Infoobjects
  • Infoq
  • Informagix
  • Informatica
  • Informatica
  • Infosys
  • Innovative Element
  • Inome
  • InRhythm
  • Intel
  • Intersys Consulting
  • Intuit
  • IVY Comptech
  • Jaspersoft
  • JDSU
  • JNTU Kakinada
  • John Wiley & Sons
  • Juniper Networks
  • Kaiser Permanente
  • KPI Partners
  • KPMG
  • LARC Technologies
  • Lawrence Livermore National Laboratory
  • Levi
  • Lexisnexis Risk Solutions
  • LinkedIn
  • Liveoak Venture Partners
  • Lord Abbett
  • Luminex
  • Lyris
  • Macys
  • Madison Performance Group
  • Mantis Technology Group
  • Mapr Technologies
  • MarginXL Advisors
  • MarkLogic
  • MasterCard
  • Mathworks
  • Mavenir Systems
  • Maxim Integrated
  • Mckesson
  • McKinsey
  • Mckinsey Solutions
  • Media Matters for America
  • Merck
  • MetaScale
  • MetiStream
  • michaeljfox.org
  • Microsoft
  • Mondee
  • MongoDB
  • Monitise
  • Morgan Stanley
  • Motivitylabs
  • Mycityway
  • MYCO
  • Nasotech
  • National Institute of Technology Warangal
  • NBR
  • NEC
  • Neiman Marcus
  • NetApp
  • Netflix
  • Neustar
  • NICUSA
  • Nisum Technologies
  • Noah Consulting
  • Nokia
  • Novartis Healthcare
  • NRIT
  • Objectivity
  • OCWEN Financial Solutions
  • One Technologies
  • OneWest Bank
  • Opentable
  • Oracle
  • Orbitz Worldwide
  • Overlake Hospital Medical Center
  • Parabellum
  • Parstream
  • Paymark
  • PayPal
  • Peerless Network
  • PGC
  • PlainText Systems
  • Planon
  • Prime soft solutions
  • PrintPlace.com
  • Professional Nosql
  • PWC
  • Q1 Technologies
  • Q2
  • Qburst Technologies
  • Qualcomm
  • Qubole
  • RAC
  • Rackspace
  • Ramyam Intelligence
  • Redbasin Networks
  • Responsys
  • Revolution Analytics
  • Riyad Bank
  • Riverbed
  • RMS
  • RNSolutions
  • Rockwell Collins
  • Sabre Holdings
  • Saffron Technology
  • Sage
  • Sageit
  • Salesforce
  • Samsung
  • Sandia
  • SAP
  • SAS Institute
  • SCEA
  • ScientiaMobile
  • Scispike
  • SE Solutions
  • Sears
  • Sejong University
  • Sense Corp
  • Servergy
  • ServiceMesh
  • Shell
  • Siemens
  • Sigmoid Analytics
  • Silicon Valley Bank
  • Sirius XM
  • Sirqulate
  • Sisense
  • Skype
  • Soft10
  • Southwest Airlines
  • Sony
  • SparkCognition
  • Sprint
  • Splunk
  • Staples
  • Stryker
  • Stubhub
  • Sungard Consulting Services
  • Suning
  • Supremesoft
  • Supremesoft Corporation
  • SV Systems
  • Swatcloud
  • Symantec
  • System Managers
  • Tata Consultancy Services
  • TCS
  • Tech Mahindra
  • Tech Vedika Software
  • Techfetch
  • Tekcomms
  • Telarix
  • Teradata
  • Tesora Inc
  • Tessera Global Services Inc
  • TG
  • The ELP GROUP
  • The Hartford
  • The LIVESTRONG Foundation
  • The Smart Cube
  • themix.org
  • Thermofisher Scientific
  • Think Big Analytics
  • Thomson Reuters
  • Tibco
  • Tiger Analytics
  • Tivo
  • T-Mobile
  • Toshiba
  • Toyota
  • TPVISION India
  • Trifacta
  • Trulia
  • Twitter
  • UBS
  • UC Merced
  • Ultimate Software
  • United Healthcare
  • University of Pennsylvania
  • UNT Health Science Center
  • UPS
  • USU
  • UT Health Science Ctr
  • UXC Eclipse
  • Varian Medical
  • Veritis Group
  • Verizon
  • Versa Shore
  • VG Software Consultancy
  • Visa
  • VMSoft
  • VMWare
  • VRH Consutling
  • W2O Digital
  • W2O Group
  • Walmart
  • Walt Disney
  • Wavelength Market Analytics
  • Weather Analytics
  • Wells Fargo
  • Wheel Innovationz
  • White Sky
  • Whole Foods
  • Wipro
  • Workday
  • Xebia
  • XO
  • Yahoo
  • Yarcdata
  • YASH Technologies
  • Zenoss Inc
  • Zensar Technologies
  • Zettaset
  • Zigron
  • Zynga

3rd Annual Global Artificial Intelligence Conference

Day -1 (January 23rd 8:00AM-7:00PM )

8:00 AM - 9:00 AMRegistration
9:00 AM - 9:40AM Business Track: How to Create Business Value From the Marriage of AI and IoT (Maciej Kranz, VP, Cisco)
Finance Track: Deep Learning In Finance(Miquel Noguer Alonso, CEO, Artificial Intelligence Finance Institute & Ex-Executive Director, UBS)
Technical Track: One Smooth Stone: How To Beat Goliath With Quality Training Data (Jennifer Prendki, VP AI and Machine Learning, Figure Eight)
9:40 AM - 10:20AM General Keynote
10:20AM -10:50AMBreak
10:50 AM - 11:30AM Business Track: Real World AI (Arijit Sengupta, CEO, AIble)
Finance Track: Data And Artificial Intelligence Are About People First, Technology Second (Christian Nelissen, SVP, TD Bank Group)
Technical Track: The History And Future Of Machine Learning At Reddit (Anand Mariappan, Senior Director, Reddit)
Use Case Track
Agriculture Track
11:30 AM - 12:10PM Finance Track:  Role of Big Data in Financial Services Industry (Ajay Jain, Executive Director, CME Group)
IoT Track
Technical Track: Natural Language Understanding at Scale On Apache Spark (David Talby, CTO, Pacific AI)
Chatbot Track: Designing Intelligent Conversational Experiences (Beerud Sheth, CEO, Gupshup)
12:10 PM - 12:50PM Keynote Panel -  Finance Track:  AI in Finance
Amit Chowdhary (VP, Visa)
Nikhil Singhvi (Director, Credit Suisse)

Chatbot Track: How AI Improves Human Conversations In Messaging (Patrick Perrin, Chief Scientist, Emogi)
Technical Track: Role Of Unsupervised Learning In Video Summarization (Divya Jain, Director, Adobe)
12:50 PM - 1:50PMLunch Break
1:50PM - 2:30PM Business Track: Winning The Talent Wars: Recruiting & Retaining Diverse Technical Talent (Amy Gershkoff Bolles, Chief Data Officer, Bitly)
Finance Track: Data, Analytics, Technology To Drive Insights Into Consumer Behaviors. (Edward Colet, VP Big Data, Equifax)
Technical Track: Real-Time, Multi-Cloud ML/AI With PipelineAI, TensorFlow, GPU, TPU, Spark, Kafka (Chris Fregly, Founder and Research Engineer, PipelineAI)
Technical Track: Architectural Study In Deep Learning Era (Hyeran Jeon, Assistant Professor, San Jose State University)
2:30PM - 3:10PM Technical Track: Making Sense of Unstructured Data (Navneet Kesher, Head of Data Sciences, Facebook)
Finance Track:
Business Strategy And Risks With Banking AI-ML Use-Case (Senthil Selvaraj, SVP, PNC)
Business Track: Delivering Transformative Business Outcomes With AI (Ranjeeta Singh, VP Technologies, Teradata)
Healthcare/Pharma/BioTech Track: Data Lake And Modern Data Platform At Scale In The Cloud - Role Of Microservices, Master Data Management And Serverless Computing  (Dr Prakriteswar Santikary, Global Chief Data Officer, ERT)
3:10PM - 3:40PMAfternoon Break
3:40PM - 4:20PM Business Track: Bootstrapping And Scaling A Data Science And Machine Learning Product Organization (Madhura Dudhgaonkar, Senior Director, Workday)
Finance Track : Security And AI (Upendra Mardikar, VP Technologies, American Express)
Use Case Track:
Technical Track: Convolutional Neural Networks – Unleashing the power of visual search (Aamer Charania, Director Data Science, Capital One)
Technical Track: Deep Learning for Speech Recognition (Pranjal Daga, Data Scientist, Cisco Systems)
4:20PM - 5:00PM Keynote Panel: Women in AI (Room 203)


General Track:
Finance Track : Building and Automating the Network Infrastructure for a Scalable Datacenter (Tochi Onyenokwe, Software Engineer, Square)
Enterprise Track:
Technical Track: Improving Customer Support with Deep Learning and NLU (Sami Ghoche, Founder, Forethought)
5:00PM - 6:00PM Keynote Panel: The Future of Artificial Intelligence (Room 203)

5:00PM - 5:30PM Business Track: The collision course between Big Data+AI, Privacy, Ethics and Regulations in the AI world (Ashwin Krishnan, COO, UberKnowledge)
Technical Track
5:30PM - 6:00PM Use Case Track:
Blockchain Track:
Blockchain Based Identity Management (Jimmy Su, Senior Director, JD.com)
6:00PM - 7:00PM PM RECEPTION

Day - 1 (Jan 23rd Workshop Track) (Room 207)

9:00AM - 12:50 PM Workshop : Hands on Workshop : Minimally Sufficient Pandas (Theodore Petrou, Founder, Pandas)
CATEGORY: Intermediate-Advanced
12:50 PM - 1:50PMLunch Break
2:00PM - 6:00PM Workshop: Getting Started In Deep Learning With TensorFlow (Robert Crowe, Data Scientist, Google)
CATEGORY: Beginner | Intermediate | Deep-Learning

Day - 1 (Jan 23rd Exhibit Hours)  9AM-7:00PM (Room 210)

Day -2 (January 24th 8:15AM-7:00PM )

8:15 AM - 9:00 AMRegistration
9:00 AM - 9:40 AM Retail/E-Commerce Track: From BI To AI: Turning Data Into An Asset (Pavan Arora, Chief AI Officer, Aramark)
Business Track:
Cloud AI and Future Robotics (Robert Zhang, President, Cloudminds Technology)
Technical Track: Deep Learning For Developmental Robotics (Douglas Blank, Associate Professor, Bryn Mawr College)
9:40 AM - 10:20 AM General Keynote Session : Innovation at Amazon (Paul Misener, VP, Amazon)
10:20AM - 10:50AMBreak
10:50 AM - 11:30 AM Retail/E-Commerce Track: Data Science And Applications At Kohl's Retail (Alan Lee, VP Data Science, Kohl's)
Enterprise Track:
Building Enterprise AI Companies (Mohan Reddy, Chief Technology Officer, The Hive)
Technical Track: How Machine Learning Powers On-Demand Logistics At DoorDash (Raghav Ramesh, Machine Learning Engineer, DoorDash)
11:30 AM - 12:10 PM Keynote Panel : AI in Retail/E-Commerce (Room 203)
Anjan Goswami (Director Data Science , Salesforce)
Sreekar Bhaviripudi (Manager, Amazon)

Technical Track: Machine Learning Interpretation (Pramit Choudhary, Lead Data Scientist, H2O.ai)
Business Track: Blockchain, Artificial Intelligence, Internet Of Things - The Future Societal Framework (Anurag Yadav, CEO, PrimaFelicitas)
12:10 PM - 12:50 PM Enterprise Track:
Technical Track: Natural Language Processing - Concepts And Applications In AI (Sumit Amar, Sr Director Engineering, Visa)
Use CaseTrack
12:50 PM - 1:50PMLunch Break
1:50 PM - 2:30PM Technical Track: Unleashing The Power Of Monotonicity With TensorFlow Lattice (Sen Zhao, Data Scientist, Google)   
Business Track: The Insights Supply Chain: Organizing for Big Data (Duru Ahanotu, Director, Oath)

Keynote Panel : AI from Investment perspective (Room 203)
Bill Reichert (Managing Director, Garage Technology Ventures)
 
2:30 PM - 3:10 PM Retail/E-Commerce Track: Automate capacity management of applications for a hybrid cloud ecosystem (Vilas Veeraraghavan, Director, Walmart)
Enterprise Track:
Business Track: Productionizing your Machine Learning Models (Jon Peck, Software Engineer, Algorithmia)
Technical Track: Decentralized AI: Convergence Of Blockchain & AI (Geeta Chauhan, Chief Technology Officer, DeepCloudAI)
3:10PM - 3:40PMBreak
3:40 PM - 4:20 PM Business Track: What Google Learned About Creating Effective Teams (Matt Sakaguchi, Manager, Google)
Retail/E-Commerce Track: Product Design For A Segment Of One: How To Design And Deliver Highly Personal Products For Our Users (Pree Kolari, Director, eBay)
Technical Track: An Active Learning Framework to Optimize Training of Deep Model with Human-in-the-loop (Humayun irshad, Senior Research and Software Engineer, Figure Eight)
4:20 PM - 5:00 PM Travel/Transportation Track:
Technical Track: AI And ML In Optimization And Recommendation Use Cases (Nadim Hossain, Product Management, Uber)
Retail/E-Commerce Track: AI / ML In Data Science Engineering And Operational Excellence (Ravi Kumar Buragapu, Director, Kohls Technology)
5:00 PM - 6:00 PM Keynote Panel: Solving Business Problems With AI
5:00 PM - 5:30 PM Security Track: Fraud Analysis and the Value of Layered Modeling (Matthew Leichter, Principal Data Scientist, Cardpool)
Technical Track: Running Effective Machine Learning Teams: Common Issues, Challenges and Solutions (Gideon Mendels, CEO, Comet.ml)
5:30 PM - 6:00 PM SecurityTrack: Data Science in Security: Machine Learning for Identity Verification (Siobhan McNamara, Data Scientist, Agari)
Chatbot Track: Empowering Workplace Efficiency By Chabot And NLP (Dave Chen, Principal Architect, Workday)

Day - 2 (Jan 24th Workshop Track) (Room 207)

9:00AM - 12:50 PM Workshop: Introduction to PyTorch (Robert Alvarez, Data Scientist, Metis)
12:50 PM - 1:50PMLunch Break
2:00PM - 6:00PM Workshop: NLP workshop (Luis Serrano, Manager, Udacity)
 

Day - 2 (Jan 24th Workshop Track) (Room 212)

8:30AM - 12:30 PM Workshop
12:00 PM - 1:00PMLunch Break
1:00PM - 3:00PM Workshop
 
3:00PM - 3:30PMBreak
3:30PM - 6:00PM Workshop
 

Day - 2 (Jan 24th Exhibit Hours)  9AM-6:00PM

Day -3 (January 25th 8:30AM-6:00PM )

8:30 AM - 9:00 AMRegistration
9:00 AM - 9:40 AM Technical Track: Incremental-Decremental Methods For Time Series Analysis (Joseph Ross, Data Scientist, SignalFx)
Healthcare/Pharma/BioTech Track: AI In The Health & Life Sciences Industry (Chris Gough, Chief Architect, Intel)
Business Track: Machine Learning vs. Feature Engineering: What should the Focus be in Attempting to Predict Customer Behaviour  (Richard Boire, CEO, Boire Filler Group)
9:40 AM - 10:20 AM General Keynote Session: Lessons from Google's Journey to AI-First (Ron Bodkin, Technical Director for Applied AI, Google)
10:20AM - 10:50AMBreak
10:50 AM - 11:30 AM Technical Track: An Intriguing Failing Of Convolutional Neural Networks And The CoordConv Solution (Rosanne Liu, Senior Research Scientist, Uber AI Labs)
Healthcare/Pharma/BioTech Track: Meshing of Thinking in Carbon with Thinking in Silicon: Risks and Opportunities (John Mattison, CMO, Kaiser Permanente)
Business Track: Best And Worst Practices For Creating A AI/ML Practice: The Ten Labors Of A Data Scientist (Ali Arsanjani, VP AI and Machine Learning, 8x8 Global Cloud Communication)
11:30 AM - 12:10 PM Healthcare/Pharma/BioTech Track:  Use Of AI In Empowering Patients (Vishaal Virani, Director, Ada Health)
Technical Track: Natural Language Processing Is Fun: Generate Lyrics In The Style Of Your Favorite Artist (Joan Xiao, PhD, Figure Eight)
Business Track: AI- Beyond Cats And Dogs (Rohit Tandon, Partner, BootUP Ventures)
12:10 PM - 12:50PM Keynote Panel: AI in Healthcare
Dan Humble (Chief Data & Analytics Officer, Walgreens Boots Alliance)

Technical Track: In Search Of Better Recommendation Systems Based On Neural Networks (SK Reddy, Chief Product Officer AI & ML, Hexagon)
Insurance Track: Nudging in a World of AI and Machine Learning (Wei Ke , Managing Partner, Simon-Kucher & Partners)
12:50 PM - 1:50PMLunch Break
1:50 PM - 2:30PM Healthcare/Pharma/BioTech Track:  Transforming Regression Into Neural Network For Multi-Chain Economic Model (Shyam Sarkar, CEO, AyushNet)
Technical Track: Embeddings@Twitter (Abhishek Tayal, Staff Software Engineer, Twitter)
InsuranceTrack: Insurance, underwriting, AI/machine learning, process improvement and automation (Mike Gulla, Director, Hippo Insurance)
2:30 PM - 3:10 PM Healthcare/Pharma/BioTech Track: Major Applications Of AI In Healthcare (Alex Ermolaev, Director of AI, Change Healthcare)
Technical Track: Data-Driven Methods For Improving Conversion And User Engagement (Long Pei, Data Scientist, eBay)
Transportation Track:  Making The Case For Artificial Intelligence (Petrick Adams, Manager, FedEx)
3:10PM - 3:40PMBreak
3:40 PM - 4:20 PM
 

Technical Track:
Travel/Transportation Track: Dynamic Pricing and its AI Revolution  (Maokai Lin, CTO & Founder, Smarking)
Healthcare/Pharma/BioTech Track: Big Data And Predictive Analytics For Infectious Disease Epidemics (Nita Madhav, VP Data Science, Metabiota)

4:20 PM - 5:00 PM Supply Chain  Track:  Real Life Application of Artificial Intelligence in Supply Chain Operations (Mudasir Ahmad, Sr. Director Operations, Cisco)
Technical Track : Enough Data Engineering for a Data Scientist (Stephen O'Sullivan, Founder, Data Whisperer)
Healthcare/Pharma/BioTech Track: Analytics as Augmented Human Intelligence (Matthew Baggott, Director, Genentech)
5:00 PM - 6:00 PM Keynote

Day - 3 (Jan 25th Workshop Track)

9:00AM - 12:50 PM Workshop: Data Science with Missing Data (Matt Brems, Global Lead Data Science Instructor, General Assembly) (Room 207)
Category: Beginner-Intermediate
12:50 PM - 1:50PMLunch Break
2:00PM - 6:00PM Workshop: Deep learning in production: going beyond Python (Hagay Lupesko, Engineering Leader, Amazon Web Services) (Room 207)
Workshop: Data Visualization in Python (Matt Brems, Global Lead Data Science Instructor, General Assembly) (Room 211)
Category: Beginner-Intermediate-Advanced


Latest Agenda: Click Here
NOTE: Agenda and speakers subject to change without notice

Workshop Requirements
Each attendee should bring their own laptop(Minimum 8GB ram and 25GB-50GB hard disk) with administrative privileges and wireless connectivity.

Refund Policy
No refunds will be given for cancellations
lPlease note: Ticket prices are subject to increase or decrease, at the discretion of Global Artificial Intelligence Conference, before and/or after you have made your purchase, and do not entitle the purchaser to a partial refund or credit.

Terms & Conditions
In order to obtain a high-quality audience at the Conferences, Global Artificial Intelligence Conference reserves the right to revoke any purchased tickets from an attendee without explanation.

If you have any questions concerning the event, please do not hesitate to contact events@globalbigdataconference.com or Call 408-400-3769

Have questions about Group tickets for 3rd Annual Global Artificial Intelligence Conference Santa Clara January 2019? Contact Global Big Data Conference

Save This Event

Event Saved

When & Where


Santa Clara Convention Center
5001 Great America Parkway
Santa Clara, CA 95054

Wednesday, January 23, 2019 at 7:30 AM - Friday, January 25, 2019 at 9:00 PM (PST)


  Add to my calendar

Organizer

Global Big Data Conference

Organizer of the Global Career Fair - The Largest AI & Data Science Career Fair of 2019(FREE)

Organizer of the Global Artificial Intelligence Conference - The Largest AI Conference of 2019

  Contact the Organizer

Please log in or sign up

In order to purchase these tickets in installments, you'll need an Eventbrite account. Log in or sign up for a free account to continue.