Artificial Intelligence & Machine Learning (AI/ML)
When & Where
AI/ML: Latest Advances in Artificial Intelligence
The Artificial Intelligence Track at TiEcon 2023 will highlight the latest advances in AI, such as Generative AI (e.g. ChatGPT), MLOPs (Machine Learning Operations), and the Application of AI for Customer Experience & Customer Success. We have a lineup of stellar speakers from across the industry spectrum who will share their thoughts and experiences, providing valuable help and guidance for both entrepreneurs and established industry professionals. Attendees will also have the opportunity to participate in hands-on training through the AI Bootcamp to complement what they learn during the AI Track Session. This is a must-attend Track, organized by industry veterans as Track Chairs, who have experience working at top companies such as Google, Amazon, Facebook, Twitter, Intel, VMware, Cisco, Juniper, Siemens, and Synopsys.
Track Agenda
- 05/04/2023 | 10:00 am – 10:30 am PDT
- 30 mins Hall A1Speakers
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- 05/04/2023 | 10:30 am – 11:00 am PDT
- 30 mins Hall A1SpeakersAnkit JainMachine Learning Tech Lead
MetaAnkit Jain currently works as a machine learning tech lead at Meta where he works on a variety of deep learning problems. Previously, he was a ML researcher at Uber AI where he worked on application of deep learning methods to different problems ranging from food delivery, fraud detection to self-driving cars. He has co- authored a book on machine learning titled TensorFlow Machine Learning Projects. Ankit also teaches AI and machine learning at various boot camps to empower the next generation of technologists. Additionally, he’s been a featured speaker in many of the top AI conferences and universities and has published papers in several top conferences like Neurips, ICLR. He earned his MS from UC Berkeley and BS from IIT Bombay (India).
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- 05/04/2023 | 11:00 am – 11:30 am PDT
- 30 mins Hall A1SpeakersDr Pandian currently serves as the Chief Technology Officer at Tech Mahindra’s High Technology Cluster as well as a Member of the Board of Directors at iGrantha Inc. Dr Pandian possesses a deep blend of insights in image processing and high-performance computing using multicore and GPU techniques, especially across the medical and industrial domains. Dr Pandian has also worked on developing a series of creative business propositions around leveraging cloud computing to allow digital media companies aggregate processing to reduce time-to-market and substantially improve time-to-cash flow for larger-scale digital productions.Hagay LupeshkoVP Engineering
Mosaic MLHagay Lupesko is the VP Engineering at Mosaic ML and is on a mission to make ML training more efficient and accessible. Prior to Mosaic ML, Hagay was a Director of Engineering at Meta AI, where he led machine learning engineering and applied research to deploy state- of-the-art AI systems at a massive scale, and powered key businesses and user experiences across Meta's platforms. Hagay has also led Deep Learning Engineering teams responsible for building deep learning systems and tools to help engineers and scientists leverage artificial intelligence in their services and applications. Earlier in his career, Hagay engineered and shipped products across various domains from 3D medical imaging, through global-scale web systems, and up to deep learning systems used at scale by engineers and scientists worldwide. Hagay has a Masters degree from Tel Aviv University in Computer Science and Bachelor of Computer Science degree from Ben Gurion University.
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- 05/04/2023 | 11:30 am – 12:00 pm PDT
- 30 mins Hall A1Speakers
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- 05/04/2023 | 12:00 pm – 12:30 pm PDT
- 30 mins Hall A1SpeakersDebanjan SahaCEO
Data RobotDebanjan is the CEO of DataRobot. He joined DataRobot at the beginning of 2022 as President and COO, and was appointed CEO in July, 2022. Before joining DataRobot, he was VP/GM of Data Analytics services, including BigQuery, Dataflow, PubSub, Dataproc etc in Google Cloud (GCP). In that role, Debanjan led engineering, operations, and drove go-to- market strategy and overall P and L, for GCP Analytics business. Prior to joining Google, Debanjan led Database services at AWS where he led the development and launch of Amazon Aurora, a massively scalable relational database service re-imagined for the cloud. In 2019, Debanjan was named one of the technology executive of the year for transforming database industry. He is also responsible for launching AWS Glue, a data integration and transformation service at the core of AWS Datalake. Debanjan has also held multiple executive and technical leadership positions in IBM, including a 2-year international assignment in Shanghai, China. He started his career as a Principal Engineer at Tellium, an optical networking pioneer and helped them grow from an early stage start-up to a public company ($3B+ IPO). Debanjan is a Fellow of the IEEE and a Distinguished Member of the ACM and has co-authored a book, 50+ US patent applications, 100+ technical articles, including award winning papers and major Internet standards. He has a MS and PhD degrees from the University of Maryland, and a BTech from IIT, all in Computer Science.
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Track Chairs
has worked on recommendations systems and NLP at Amazon/Twitch, Twitter
and Capital One. He has founded startups and worked in large enterprises over
his 20+ year long career. Ashish published a book on Advanced NLP. He is the
co-founder of the IIT AI/ML forum growing it to over 1500 members.
Intel
substantial experience in semiconductor ecosystem related to EDA, IP, Design
Services, MAG, and Cloud. He is also responsible for Intel Foundry Services'
partner press releases, coordinating outbound partner activities, Intel external
technical presentations approver, and automation of internal processes.
As Founder and CEO of Vasten Inc, he has substantial experience in HPC,
SaaS, ML, and EDA. Prior to that, Lalit worked as Director of Data Engineering
and Machine Learning at Contiq, a content management AI startup.
As Director of Product Engineering and Customer Engagement at Cadence, he
managed an entire software product line with annual revenue in excess of $40M.
He has over 25 years of experience in product engineering, product
management, customer engagement and pre-post sales at Siemens, Synopsys,
and Cadence. He also has experience in license negotiations and technical
project management with government agencies such as DARPA, DOE, and GRI.
Juniper Networks
500 companies, Surbhi has built and led product and engineering teams at technology icons
including Google, YouTube, Netflix, and Cisco. Over the last decade she has launched
multiple successful & insightful products, many of which encompass AI and machine
learning expertise. Additionally, Surbhi led query disambiguation and speech recognition
efforts on leading edge Google Home and Google Assistant enabled devices using Google
Cloud ML models.
Currently Surbhi is leading Juniper's Customer Experience charter focused on incorporating
Juniper's Experience-First Networking initiatives into every aspect of the customer journey.
She is focused on building omnichannel engagements and ML based proactive and
predictive support capabilities. Leveraging her EQ-based motivational leadership style,
Surbhi is leading highly cross-functional initiatives enabling digital transformation of both
services and enterprise business.
Surbhi holds a Bachelor's in Engineering from IIT Kanpur and a Master's degree in computer
science from Texas A&M University. She also holds General Management Program (GMP)
degree from Harvard Business School
Surbhi leads Global Inclusion & Diversity initiatives at Juniper and is passionate about
supporting and giving back to the IIT community. She is a key leader of the IIT Artificial
Intelligence & Machine Learning forum, a Board Member for IIT Kanpur Foundation, and
the former President of IIT West Coast alumni association. She has also Chaired and led
the "Women in Product" San Francisco Bay Area organization and is an active member of
Chief.
TiEcon 2023 Tracks
- AI/ML
- Cloud/Edge
- Cybersecurity
- Healthcare
Healthcare Disruption: Redefining the Future
A New Era of Innovation and Patient Care
- Manufacturing
- Supply Chain
Supply Chain
Transforming the supply chain to be smart & sustainable for the digital age volatility & complexity
- Web3 & Metaverse
Web3 & Metaverse
Where Web3 & Metaverse technology meets the future of business and innovation.
- Global Connect
GLOBAL CONNECT
Expanding entrepreneurial and technological networks across the globe
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AI/ML
AI/ML: Latest Advances in Artificial Intelligence
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Cloud/Edge
Creating the AI future on Cloud & Edge
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Cybersecurity and Compliance
Defending Our Digital Lives
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Healthcare Disruption: Redefining the Future
A New Era of Innovation and Patient Care
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Next-Gen Manufacturing
Riding the Waves of Disruption
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Supply Chain
Transforming the supply chain to be smart & sustainable for the digital age volatility & complexity
-
Web3 & Metaverse
Where Web3 & Metaverse technology meets the future of business and innovation.
-
GLOBAL CONNECT
Expanding entrepreneurial and technological networks across the globe