Aug 2023


From Innovation to Scale (I2S)


Discuss and learn how to successfully build, commercialize, and scale AI innovations in challenging market conditions

Workshop held in conjunction with KDD 2023

From Innovation to Scale (I2S) 2023

In recent years, the AI community has witnessed an exciting acceleration in innovation across foundation models, deep learning, new AI applications across numerous verticals, and more. In addition, AI innovations driven by both academic and industry research labs have rapidly been adopted by big tech companies and startups to deliver value-differentiated products and services.

For many machine learning researchers looking at commercializing their work, one of the frequently wondered questions is - “How do I kickstart a startup that can commercialize my research innovations?”. For many ML practitioners in the KDD community, there is always curiosity on how big tech and startups take AI research and innovations, and scale it to be used by millions of users.

This interactive workshop aims to achieve two goals: First, the workshop will bring together invited AI thought leaders working in academia, big tech as well as startups to share their perspective on the next big AI ideas that will change the world, and deliver impact. Second, the workshop will invite startup founders (from both academia and industry) to share their journey of acquiring customers, building a team, pitching for initial funding, and commercializing their research into successful enterprises.

From Innovation to Scale (I2S) -Discuss and learn how to successfully build, commercialize, and scale AI innovations in challenging market conditions We are excited to announce the "From Innovation to Scale (I2S)" workshop, which aims to provide a platform for sharing knowledge and best practices on successfully building, commercializing, and scaling AI innovations in challenging market conditions. The workshop will take place on 8/6/2023, part of the KDD 2023 in Long beach, CA, USA. We are looking for speakers from academia and big tech to share their insights on the next big AI ideas that will change the world and deliver impact, as well as those from startups for the journey of acquiring customers, building a team, pitching for initial funding, and commercializing their research into successful enterprises.

Topics of interest in this workshop include but are not limited to:

- Commercializing AI research innovationsn

-Scaling AI startups

- Acquiring customers in challenging market conditions

Building successful teams

- Pitching for initial funding

- Developing and executing go-to-market strategies

- Best practices for AI innovation

If you have valuable insights and experiences to share in any of these areas, we encourage you to submit a proposal to speak at the I2S workshop. We welcome submissions from AI thought leaders, startup founders, and other professionals with relevant expertise.

Keynote Speakers

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AI value creation - a view across aisles

Vijay Narayanan

Fellow and Partner, Fellows Fund

AI has the potential to fundamentally rewire value chains in every sphere of human activity. In this talk, I will share some perspectives of how AI can create value, from my experience both as an operational leader in small and large enterprises and investing in AI startups"

Speaker Bio:
Vijay K Narayanan is currently a Fellow and partner at Fellows Fund, an early-stage VC composed of a network of senior technical executives in data, ML/AI, life sciences, security etc. He was earlier the Chief AI officer at ServiceNow, leading research, science and engineering at Pinterest, the Head of Algorithms and AI Solutions at Microsoft, Director at Yahoo Labs, Analytic Science manager at FICO and a post-doc fellow at Princeton Univerrsity. He holds a Ph.D in Astronomy and has worked in data and ML platforms, products and solutions for over 2 decades in both consumer and enterprise companies.

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Froomle's Journey from Research to Recommendations

Bart Goethals

Professor at University of Antwerp, Co-founder and CTO Froomle

Speaker Bio:
Bart Goethals is professor at the department of computer science of the University of Antwerp in Belgium. He leads the Adrem Data Lab research group, which performs fundamental research on the structures, the basic properties and the power of languages, algorithms and methodologies for processing and analysing large quantities of data. His primary research interests are the study of recommender systems and data mining techniques to efficiently find interesting patterns and properties in large databases. He received several awards for his publications. He was organizer and program chair of ECML PKDD 2008, program chair of SIAM DM 2010, and general chair of IEEE ICDM 2012. He has served as general chair of the ECML PKDD Steering Committee, and is action editor of the Data Mining and Knowledge Discovery journal, Specialty Chief Editor of the Recommender Systems section in Frontiers in Big Data, and associate editor of ACM Transactions on Recommender Systems, and ACM transactions on Information Systems, and he was Editor-in-Chief of the ACM SIGKDD Explorations newsletter. In 2016, he founded the spin-off company Froomle which provides a SAAS recommender systems platform to its customers.

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Hema Raghavan

Co-founder and Head of Engineering @Kumo.AI

Speaker Bio:
Hema is a co-founder and Head of Engineering at Kumo AI, where the team is building a product that makes Querying the Future (predictions) as easy as querying the past (SQL). At its heart Kumo uses Graph Neural Networks and the team at Kumo believes that GNNs will transform how AI is done on data warehouses in a similar way that the LLM revolution has impacted areas of text, NLP and vision. Hema received her PhD from Umass Amherst in 2007 in Search and Information Retrieval. She started her career in Applied Research labs in Yahoo! and IBM. She also spent nearly a decade in LinkedIn building innovative systems to power Linkedin's notifications ecosystems and People You May Know. She is not only well known for building industry scale AI systems, but also for building teams and companies that are inclusive and diverse and where innovation is at the forefront.

Fireside Chat

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Lu Zhang

Founder & Managing Partner

Speaker Bio:
Lu Zhang, Founder and Managing Partner of Fusion Fund, is a renowned Silicon Valley based investor, a serial entrepreneur, and a Stanford Engineering alumna. Lu is a World Economic Forum (Davos) Young Global Leader and was recently selected as a Best 25 Female Investor by Business Insider. She has also garnered other accolades including the Featured Honoree in VC of Forbes 30 Under 30, Silicon Valley Women of Influence, and Town & Country 50 Modern Swans – Entrepreneurship Influencer. Lu is also on the Jury Board of Cartier Young Leader Award. Prior to starting Fusion Fund, she was the Founder and CEO of a medical device company focused on non-invasive technology for the early diagnosis of Type II diabetes (acq. 2013). Lu is a frequent speaker at tech events and conferences such as Davos Economic Forum, Future Investment Initiative (FII), Forbes, Web Summit, SuperReturn, etc. and also serves as a mentor and advisor to several tech innovation programs in Silicon Valley. Lu is the board member of the Youth Council of Future Forum and Future Science Award. She received her M.S. in Materials Science and Engineering from Stanford University.

Workshop Program

Time Speaker Title
08:00AM - 08:10AM, 2023/08/06 (PDT) Host Chair Welcome and Open Remarks
08:10AM - 08:50AM, 2023/08/06 (PDT) Vijay Narayanan Keynote 1: AI value creation - a view across aisles
08:50AM - 09:30AM, 2023/08/06 (PDT) Bart Goethals Keynote 2: Froomle's Journey from Research to Recommendations
09:30AM - 10:10AM, 2023/08/06 (PDT) Hema Raghavan Keynote 3: TBD
10:10AM - 10:30AM, 2023/08/06 (PDT) Tea Break
10:30AM - 11:10AM, 2023/08/06 (PDT) Lu Zhang Fireside Chat hosted by Michael
11:10AM - 12:00PM, 2023/08/06 (PDT) Michael Zeller, Vijay Naranan, Lu Zhang Panel discussion moderated by Ankur Teredesai
12:00PM - 12:10PM, 2023/08/06 (PDT) Closing Remarks

Panel Discussion

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Ankur M. Teredesai (Moderator)

CueZen Inc., & University of Washington
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Michael Zeller

Temasek
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Vijay Naranan

ServiceNow
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Lu Zhang

Fusion Fund

WORKSHOP ORGANIZERS

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Ankur M. Teredesai

CueZen Inc., & University of Washington
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Michael Zeller

Temasek
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Shenghua Bao

Amazon
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Wee Hyong Tok

Microsoft
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Linsey Pang

Salesforce

Contact: ai2s.workshop@gmail.com