State of AI and ML-December 2019

In this event as part of series of regularly planned events, we plan to cover the state-of-the art advances in AI technology.

December 3rd-4th, 2019

8am-5pm SEMI

673 S Milpitas Blvd, Milpitas, CA 95035

Program Schedule
 DAY 1 
8 am to 9 am
Breakfast & Networking
9 am to 12.15 pm

Key Note & Unified Session

12.15 to 2 pm

Lunch & Exhibits

2 pm to 5.00 pm

Track 1 || Track 2

(Key note and unified sessions are in-person talks held in room for track 1 and live streamed to attendees of  track 2 in their room)
 
 DAY 2 
8 am to 9 am
Breakfast & Networking
9 am to 12:15 pm

Tutorial (Unified Session)

12:15 to 2 pm

Lunch & Exhibits

2 pm to 5.00 pm

Track 1 || Track 2

Coffee and networking breaks are for 15-minutes in the morning at 10.15am on Day 1 and 10.30am on Day 2.
Coffee and networking breaks are for 30-minutes in the afternoon at 3.30pm
Speakers
Tom Blewitt
 VP and Chief Technical Officer
 Connected Technologies businesses
UL
Key Note talk title: Are autonomous systems safe? Why do we need UL 4600 for Autonomous Systems Safety?
Dr. Kiran Gunnam
Program Chair, ValleyML.ai,
Distinguished Engineer - Machine Learning & Computer Vision, Western Digital
Tutorial: Deep Learning with CNN
Ashok Banerjee
CTO, Symantec Corp
Personalized Security: ML for self-driving security learning "you" 
Normal Chang
Chief Technologist, Semiconductor BU, ANSYS Inc
Use of AI/ML in Simulation -based product innovation
Ram Appalaraju
Executive Analyst, Rainq Strategies
Developing AI based products and Services – Product Management Perspective
Markus Stripf
Co-founder and Co-CEO, Spoon Guru
How AI based personalisation is transforming the shopping experience
Kaniska Mandal
Lead Machine Learning & Big data Engineer, Verizon Smart City
Application of ML and AI in eCommerce
Clifton Dawson
CEO, Greenlight Insights
Market Trends and Opportunities for Computer Vision in the Entertainment Industry
Manjeet Singh
Group Product Manager, Service Now
AI and Blockchain for Managers
Soham Gharia
Principal Business Consultant, Infosys 
Use of AI, Blockchain and IoT towards FOOD WASTAGE & CREATE SUSTAINABLE SOCIETY
Anant Kadiyala
Senior Director of Transformational Technologies, Oracle
AI and the digital infrastructure for the future
Sujata Tibrewala,
 Technology evangelist, Intel
App Driven Edge and Unified Platform architecture with AI & ML as an enabler
Anand Joshi
Tractica Principal Analyst
Market for AI/ML Accelerators
Rohit Sharma
www.ai-techsystems.com       Founder
DNN Compiler for Edge Devices
Girish Adiga
Oracle Cloud Solution Engineer
Hands on Lab - Machine Learning using SQL and Apache Zeppelin Notebooks
Ben Levine
Rambus Senior Director, Product Management
Implementing Strong Security for AI Accelerators
Michelle Tomasko
 VP of Engineering,  Groq
Uma Kelkar
Entrepreneur and Innovator AI Systems.
Gayathri Radhakrishnan
Director, Venture Capital
Venture Capital at Micron, Inc..
Federico Simonetti
Chief Security Officer, FortressSecure 
Prasad Saripalli
VP ML & AI and Distinguished Engineer at MINDBODY, Inc.
Lavanya Shukla
Designing Your Neural Networks: A Step By Step Walkthrough
Priyanka Makhijani
Software Engineer (Computer Vision), DeepNorth
Madhumitha Sridhara
Senior Software Engineer, Nvidia
 
Panel Discussion
Frequently Asked Questions
 
About ValleyML.ai
Valley Machine Learning and Artificial Intelligence (ValleyML.ai) is the most active and important community of ML & AI Companies and Start-ups, Data Practitioners, Executives and Researchers in the Silicon Valley. We have more than 18,000 active members.ValleyML.ai bring together business leaders and applied machine learning and deep learning practitioners. We collaborate with other non-profit professional organizations such as ACM, IEEE Silicon Valley CS/CAS/CIS/SPS/SSCS/RAS Chapters and other AI related organizations bringing a series of regularly planned events, seminars, conferences, and workshops. We plan to cover the state-of-the-art advancements in AI technology. Attendees for Valley ML “State of AI and ML” and Boot Camps get IEEE Certificates for Professional Development Hours. AI is in its currently nascent form of Artificial Narrow Intelligence and is the third era of computing. AI is becoming omnipresent in our daily routines set to usher in Fourth Industrial Revolution with unprecedented scale of changes in how we work and live. Amplifying our human intelligence with AI has the potential of helping humanity flourish like never before, if we (humans!) correctly apply our wisdom to managing AI to keep the technology beneficial. In a series of regularly planned events, we plan to cover the state-of-the art advances in AI technology. Our current and previous sponsors include UL, SEMI, Intel, Western Digital, Texas Instruments, Google, Facebook, Cadence, Xilinx.
 
Platinum Sponsors
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Silver Sponsors
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Sponsor State of AI and ML

Entire Program schedule along with speaker bios and talk abstracts can be downloaded here as a PDF.

Please see this document for sponsorship opportunities. 

Our current and previous sponsors include UL, SEMI, Intel, Western Digital, Texas Instruments,Google, Facebook, Cadence, Xilinx.

WHY SPONSOR?

Audience includes highly regarded executives and decision makers, world renowned researchers and scientists, and a group of
young and diverse professionals and students.

The theme of the conference is "AI is in its currently nascent form of Artificial Narrow Intelligence and is the third era of computing.
AI is becoming omnipresent in our daily routines set to usher in Fourth Industrial Revolution with unprecedented scale of changes
in how we work and live. Amplifying our human intelligence with AI has the potential of helping humanity flourish like never before,
if we (humans!) correctly apply our wisdom to managing AI to keep the technology beneficial. In a series of regularly planned
events, we plan to cover the state-of-the art advances in AI technology."

Please see this document for sponsorship opportunities. Our current and previous sponsors include UL, SEMI, Intel, Western
Digital, Texas Instruments, Google, Facebook, Cadence, Xilinx.