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Free

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Mar

03


GLOBAL ARTIFICIAL INTELLIGENCE VIRTUAL CONFERENCE- WEBINAR (FREE)


by Global Big Data Conference
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740 followers
Free


ACTIONS AND DETAIL PANEL

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Register


EVENT INFORMATION

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DATE AND TIME

Thu, March 3, 2022

9:30 PM – 10:15 PM UTC

Location


LOCATION

Online event

Event description
Speakers from Amazon, Microsoft & Charles Schwab


ABOUT THIS EVENT

Free Online Webinar:

Thursday March 3 2022 : 1.30 PM PST - 2:15PM PST

Welcome to webinar hosted by Global Big Data Conference! Please start
registering by entering your name and email address to attend Webinar

Lakshmi Ravi (AI Research Scientist, Amazon), Anand Oka (Director, Microsoft),
Siddharth Sureka (Director, Charles Schwab)

About this event

We are very excited to organize Global Artificial Intelligence(AI) Virtual
Conference is held on March 17th to March 19th 2022. As we get closer to the
conference, we want to invite you to participate in Global Big Data Conference
Webinar - Online Warm-Up on March 3rd (1.30PM - 2.15PM) PST.



We will features with speakers from our upcoming Global AI Virtual Conference
each of which will present a 10 minute sessions.

Free Online Webinar:

Thursday March 3rd 2022 : 1.30 PM PST - 2:15 PST



Welcome to webinar hosted by Global Big Data Conference! Please start
registering by entering your name and email address to attend Webinar



Schedule:



1.30 - 1.40pm PST Multi-tiered digital twins with what-if analysis and
predictions (Anand Oka, Director, Microsoft)



1.40pm - 1.50pm Life cycle of data becoming a model (Lakshmi Ravi, AI Research
Scientist, Amazon)



1.50pm - 2.00pm Conversational AI (Siddharth Sureka, Director, Charles Schwab)

2:00pm-2:15pm: Q&A



KRS Murthy (CEO, I Cubed World) will moderate the webinar



---------------------------------------------------------------------------



Anand Oka (Director, Microsoft)

Topic: Multi-tiered digital twins with what-if analysis and predictions

Abstract

The COVID-19 pandemic has severely disrupted supply chains globally, and the
economic impact of these disruptions are expected to be felt for several months
to come. Supply chain planners and managers are having to deal with erratic
demand from customers, coupled with an uncertain supply of materials to fulfil
said demand.

In this session, we will discuss how such AI solutions are being built, and how
AI is ready to radically transform supply chain management.

Profile

Anand Oka is Senior Director for Product Management in the Business Applications
Group of Microsoft, where he drives innovative applications of connected
customer knowledge and cutting-edge AI to solve challenges faced by enterprises
making the Digital Transformation. Anand leads the product management of
Dynamics 365 Fraud Protection, an innovative new SaaS service from Microsoft
that helps enterprises protect themselves from fraud and abuse in omnichannel
transactions while keeping their doors open for legitimate business. Anand also
leads the program management for fraud-protection of Microsoft’s first-party
e-commerce businesses. Previously Anand worked on User Value Measurement and
Data Science for Controlled Feature Exposure and AB Experimentation in
Microsoft’s Office, Bing and Cortana businesses. He worked on Machine Learning
applications in search, recommendation, and systems optimization at Blackberry.
His original training is in physical layer Wireless Engineering and its
applications in broadband and ultra-broadband communications systems. Anand
holds a PhD from the University of British Columbia, and an MSc from The
Technion – Israel Institute of Technology, both in Electrical Engineering. He is
a Senior Member of the IEEE.



Lakshmi Ravi (AI Research Scientist, Amazon)

Topic: Life cycle of data becoming a model

Abstract

In this talk, I will first discuss the common practices of data collection. Data
collection process involves data scientists to work with Data Engineers,
Software Engineers and product Managers. Given the complexity of this process,
data science practitioners will have to be aware of the common problems that
arise in data collection and solutions I learned from my experience. The next
point of discussion will be about designing the feature extraction. The
different modeling algorithm choices which are appropriate for the use-case will
be analyzed and presented.

Profile

Applied Scientist at Amazon. 5 years of experience in ML science and Engineering
practice



Siddharth Sureka (Director, Charles Schwab)

Topic: Conversational AI

Profile

Leader with 14 years of experience in Product Management and Management
Consulting. Currently Director of AI Strategy and Planning at Charles Schwab



Check Global Artificial Intelligence Virtual Conference March 17-19 Agenda:
http://www.globalbigdataconference.com/santa-clara/global-artificial-intelligence-virtual-conference/schedule-129.html

Tags


TAGS



 * Online Events
 * Online Conferences
 * Online Science & Tech Conferences
 * #machinelearning
 * #machine_learning
 * #artificial_intelligence



Share with friends


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TwitterShare by Email


DATE AND TIME

Thu, March 3, 2022

9:30 PM – 10:15 PM UTC


LOCATION

Online event





ORGANIZER GLOBAL BIG DATA CONFERENCE

Organizer of Global Artificial Intelligence Virtual Conference- Webinar (Free)

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

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