Scaling AI Summit Agenda | Kisaco Research

Scaling AI Summit Agenda

Scaling AI Summit
30 November, 2022
VIRTUAL EVENT
Filter by:

Printable version

Wednesday, 30 Nov, 2022
08:15 - 08:50am (Pacific Time)
08:50 - 9:00am (Pacific Time)
Break
09:00 - 09:20am (Pacific Time)

Author:

Dragos Tudorache

Chair of the Special Committee on Artificial Intelligence in the Digital Age and LIBE rapporteur on the AI act
Member of the European Parliament
... read more

Dragos Tudorache

Chair of the Special Committee on Artificial Intelligence in the Digital Age and LIBE rapporteur on the AI act
Member of the European Parliament
9:20 - 9:30am (Pacific Time)
Break
9:30 - 10:10am (Pacific Time)

Get ahead of the curve with an understanding of how different businesses are proactively preparing as the US and EU start to align on future AI regulation. This panel will explore how regulation is likely to take shape and what organizations should be doing now to ensure they are proactively prepared.

Author:

Shawn Rizvi

Integrity Risk Launches - Artificial Intelligence & Machine Learning
Meta

Shawn (CIPP, CDPSE) has over 10 years of experience in managing Data Risk across Regulatory, Privacy, Governance and Cybersecurity vectors. He started his career with IBM in 2012 and would go on to join Deloitte’s Canadian practice in 2015 and EY’s Canadian practice in 2018. In 2021 he would become the CPO at the Edtechn Unicorn – Applyboard where established and led the company’s first Privacy & Data Governance department, program and strategy. His strategic leadership was critical to Applyboard’s success in preventing major operational cost from rapidly evolving regulatory changes across its over 120 countries in which it operated in. He is now currently at Meta, where he works within the Integrity and Risk Launches organization and has successfully helped launch over 300 related AI and ML related projects. He has also helped drive EU Digital Service Act and Digital Markets Act preparedness across multiple Meta products.   

Shawn has worked with market leaders across the globe to drive better business decisions based on enabling and scaling AI technologies through effective risk management and data governance techniques. This includes helping global brands navigate complex regulations and pioneering new frameworks that ensure cutting edge technology empowers society responsibly. He is also a subject matter expert on over 100 different regulations, framework and practices related to data risk. On his spare time, he provides mentorship to start up tech firms in Toronto and is passionate about helping start-ups succeed.

... read more

Shawn Rizvi

Integrity Risk Launches - Artificial Intelligence & Machine Learning
Meta

Shawn (CIPP, CDPSE) has over 10 years of experience in managing Data Risk across Regulatory, Privacy, Governance and Cybersecurity vectors. He started his career with IBM in 2012 and would go on to join Deloitte’s Canadian practice in 2015 and EY’s Canadian practice in 2018. In 2021 he would become the CPO at the Edtechn Unicorn – Applyboard where established and led the company’s first Privacy & Data Governance department, program and strategy. His strategic leadership was critical to Applyboard’s success in preventing major operational cost from rapidly evolving regulatory changes across its over 120 countries in which it operated in. He is now currently at Meta, where he works within the Integrity and Risk Launches organization and has successfully helped launch over 300 related AI and ML related projects. He has also helped drive EU Digital Service Act and Digital Markets Act preparedness across multiple Meta products.   

Shawn has worked with market leaders across the globe to drive better business decisions based on enabling and scaling AI technologies through effective risk management and data governance techniques. This includes helping global brands navigate complex regulations and pioneering new frameworks that ensure cutting edge technology empowers society responsibly. He is also a subject matter expert on over 100 different regulations, framework and practices related to data risk. On his spare time, he provides mentorship to start up tech firms in Toronto and is passionate about helping start-ups succeed.

Author:

Karen Silverman

CEO and Founder
The Cantellus Group

Karen is a leading global expert in practical governance strategies for AI and other frontier technologies. As the CEO and Founder of The Cantellus Group, she advises Fortune 50 companies, startups, consortia, and the public sector on how to manage cutting-edge technologies in a rapidly changing policy environment. Her expertise is informed by more than 20 years of practice and management leadership at Latham & Watkins, LLP where she advised global businesses in complex antitrust matters, M&A, governance, ESG, and crisis management. Karen chairs the board of a public benefit corporation developing complex content moderation tools. She is an SME for the Business Roundtable's Responsible AI Initiative, and a World Economic Forum Global Innovator and Karen sits on its Global AI Council. She serves on the boards of Krunam, AI.EDU, Legal Momentum and Not For Sale.

... read more

Karen Silverman

CEO and Founder
The Cantellus Group

Karen is a leading global expert in practical governance strategies for AI and other frontier technologies. As the CEO and Founder of The Cantellus Group, she advises Fortune 50 companies, startups, consortia, and the public sector on how to manage cutting-edge technologies in a rapidly changing policy environment. Her expertise is informed by more than 20 years of practice and management leadership at Latham & Watkins, LLP where she advised global businesses in complex antitrust matters, M&A, governance, ESG, and crisis management. Karen chairs the board of a public benefit corporation developing complex content moderation tools. She is an SME for the Business Roundtable's Responsible AI Initiative, and a World Economic Forum Global Innovator and Karen sits on its Global AI Council. She serves on the boards of Krunam, AI.EDU, Legal Momentum and Not For Sale.

Author:

Brandon Allgood

Chief AI Officer
Valo
... read more

Brandon Allgood

Chief AI Officer
Valo
10:10 - 10:20am (Pacific Time)
Break
10:20 - 10:40am (Pacific Time)

AI has tremendous potential to create sustained long-term value – as long as you get it right. From day one of developing AI strategies, it is imperative that management understand the risks and the opportunities – and how ethics can influence them both.

Author:

Daniel Wu

Strategic AI Leadership | Keynote Speaker | Educator | Entrepreneur Course Facilitator
Stanford University AI Professional Program

Daniel Wu is an accomplished technical leader with over 20 years of expertise in software engineering, AI/ML, and team development. With a diverse career spanning technology, education, finance, and healthcare, he is credited for establishing high-performing AI teams, pioneering point-of-care expert systems, co-founding a successful online personal finance marketplace, and leading the development of an innovative online real estate brokerage platform. Passionate about technology democratization and ethical AI practices, Daniel actively promotes these principles through involvement in computer science and AI/ML education programs. A sought-after speaker, he shares insights and experiences at international conferences and corporate events. Daniel holds a computer science degree from Stanford University.

... read more

Daniel Wu

Strategic AI Leadership | Keynote Speaker | Educator | Entrepreneur Course Facilitator
Stanford University AI Professional Program

Daniel Wu is an accomplished technical leader with over 20 years of expertise in software engineering, AI/ML, and team development. With a diverse career spanning technology, education, finance, and healthcare, he is credited for establishing high-performing AI teams, pioneering point-of-care expert systems, co-founding a successful online personal finance marketplace, and leading the development of an innovative online real estate brokerage platform. Passionate about technology democratization and ethical AI practices, Daniel actively promotes these principles through involvement in computer science and AI/ML education programs. A sought-after speaker, he shares insights and experiences at international conferences and corporate events. Daniel holds a computer science degree from Stanford University.

10:40 - 10:50am (Pacific Time)
10:50 - 11:30am (Pacific Time)

Mitigating risk is a means to achieve optimal business outcomes and ethical concerns belong in the conversation. So how can organizations effectively bridge current divides between innovation and ethics, and catalyze previously impossible growth?

Author:

Betsy Greytok

VP of Ethics and Policy
IBM
... read more

Betsy Greytok

VP of Ethics and Policy
IBM

Author:

Valeria Sadovykh

Technology Strategist
Microsoft
... read more

Valeria Sadovykh

Technology Strategist
Microsoft

Author:

Oriana Medlicott

Senior Researcher - Technology & Innovation Strategy (Lead on AI Ethics)
Fujitsu

Oriana Medlicott is leading AI Ethics in the Technology Strategy Unit at Fujitsu. She is the co-founder and co-host of Let’s Chat Ethics Podcast and on the advisory board of the AI Ethics Journal at UCLA. Prior to Fujitsu, Oriana worked as an AI Ethics consultant with start-ups, think tanks and academia across the USA and Europe. In Autumn of 2022, Oriana will lecture introduction to AI Ethics in industry at Nottingham Trent University.  She holds a Masters in Philosophy, looking at the Ethics of AI and Biotech.

... read more

Oriana Medlicott

Senior Researcher - Technology & Innovation Strategy (Lead on AI Ethics)
Fujitsu

Oriana Medlicott is leading AI Ethics in the Technology Strategy Unit at Fujitsu. She is the co-founder and co-host of Let’s Chat Ethics Podcast and on the advisory board of the AI Ethics Journal at UCLA. Prior to Fujitsu, Oriana worked as an AI Ethics consultant with start-ups, think tanks and academia across the USA and Europe. In Autumn of 2022, Oriana will lecture introduction to AI Ethics in industry at Nottingham Trent University.  She holds a Masters in Philosophy, looking at the Ethics of AI and Biotech.

11:30 - 11:40am (Pacific Time)
11:40 - 12:10pm (Pacific Time)

There is a strong need for Self-Service No-Code Multi-Persona Data-Centric AI Platform in order to scale out use case development, simplify usage of technology, empower Business Users with powerful automations like AutoML, AutoEDA, Orchestrations by hiding the complexities of Big data Engineering and by automatically scaling the workflows for petabytes of data. Self-Service capabilities also foster collaboration, preserve domain knowledge, reduce OPEX costs and accelerate Business Growth.

Author:

Ken Mandal

Chief Product Research Officer
Sparkflows
... read more

Ken Mandal

Chief Product Research Officer
Sparkflows
12:10 - 12:50pm (Pacific Time)

AI governance frameworks could help organizations learn, govern, monitor, and mature AI adoption and scale. While there is no one-size-fits-all approach, organizations can consider adopting processes to mitigate risk. This session will explore:

  • What an effective AI governance and risk management framework looks like in practice
  • The core principles that can be operationalized
  • Implementation of a functional framework irrespective of available resources and organization size
  • The most vital aspects of a framework and how to tailor them based on need
  • Generating maximum additional value as a result

Author:

Gurleen Virk

Responsible Innovation Program Manager- Responsible AI, ML
Google
... read more

Gurleen Virk

Responsible Innovation Program Manager- Responsible AI, ML
Google

Author:

Ken Archer

AI Ethics - Principal Product Manger
Twitch
... read more

Ken Archer

AI Ethics - Principal Product Manger
Twitch

Author:

Daniel Wu

Strategic AI Leadership | Keynote Speaker | Educator | Entrepreneur Course Facilitator
Stanford University AI Professional Program

Daniel Wu is an accomplished technical leader with over 20 years of expertise in software engineering, AI/ML, and team development. With a diverse career spanning technology, education, finance, and healthcare, he is credited for establishing high-performing AI teams, pioneering point-of-care expert systems, co-founding a successful online personal finance marketplace, and leading the development of an innovative online real estate brokerage platform. Passionate about technology democratization and ethical AI practices, Daniel actively promotes these principles through involvement in computer science and AI/ML education programs. A sought-after speaker, he shares insights and experiences at international conferences and corporate events. Daniel holds a computer science degree from Stanford University.

... read more

Daniel Wu

Strategic AI Leadership | Keynote Speaker | Educator | Entrepreneur Course Facilitator
Stanford University AI Professional Program

Daniel Wu is an accomplished technical leader with over 20 years of expertise in software engineering, AI/ML, and team development. With a diverse career spanning technology, education, finance, and healthcare, he is credited for establishing high-performing AI teams, pioneering point-of-care expert systems, co-founding a successful online personal finance marketplace, and leading the development of an innovative online real estate brokerage platform. Passionate about technology democratization and ethical AI practices, Daniel actively promotes these principles through involvement in computer science and AI/ML education programs. A sought-after speaker, he shares insights and experiences at international conferences and corporate events. Daniel holds a computer science degree from Stanford University.

12:50 - 1:00pm (Pacific Time)
Break
1:00 - 2:00pm (Pacific Time)

In groups, participants will share best practices and insight to address a series of challenges facing enterprises as they deploy and scale AI solutions. Attendees will take part in three out of five discussions, rotating every 20 minutes.

  • Defining, building and leveraging trust
  • Develop internally or buy third party?
  • Ensuring robustness and building resilience
  • Mitigating algorithmic bias
  • Shining a light on explainability
  • Establishing effective communication: top-down or bottom-up?

Author:

Jillian Powers

Responsible AI Lead
JP Morgan Chase
... read more

Jillian Powers

Responsible AI Lead
JP Morgan Chase

Author:

Shawn Rizvi

Integrity Risk Launches - Artificial Intelligence & Machine Learning
Meta

Shawn (CIPP, CDPSE) has over 10 years of experience in managing Data Risk across Regulatory, Privacy, Governance and Cybersecurity vectors. He started his career with IBM in 2012 and would go on to join Deloitte’s Canadian practice in 2015 and EY’s Canadian practice in 2018. In 2021 he would become the CPO at the Edtechn Unicorn – Applyboard where established and led the company’s first Privacy & Data Governance department, program and strategy. His strategic leadership was critical to Applyboard’s success in preventing major operational cost from rapidly evolving regulatory changes across its over 120 countries in which it operated in. He is now currently at Meta, where he works within the Integrity and Risk Launches organization and has successfully helped launch over 300 related AI and ML related projects. He has also helped drive EU Digital Service Act and Digital Markets Act preparedness across multiple Meta products.   

Shawn has worked with market leaders across the globe to drive better business decisions based on enabling and scaling AI technologies through effective risk management and data governance techniques. This includes helping global brands navigate complex regulations and pioneering new frameworks that ensure cutting edge technology empowers society responsibly. He is also a subject matter expert on over 100 different regulations, framework and practices related to data risk. On his spare time, he provides mentorship to start up tech firms in Toronto and is passionate about helping start-ups succeed.

... read more

Shawn Rizvi

Integrity Risk Launches - Artificial Intelligence & Machine Learning
Meta

Shawn (CIPP, CDPSE) has over 10 years of experience in managing Data Risk across Regulatory, Privacy, Governance and Cybersecurity vectors. He started his career with IBM in 2012 and would go on to join Deloitte’s Canadian practice in 2015 and EY’s Canadian practice in 2018. In 2021 he would become the CPO at the Edtechn Unicorn – Applyboard where established and led the company’s first Privacy & Data Governance department, program and strategy. His strategic leadership was critical to Applyboard’s success in preventing major operational cost from rapidly evolving regulatory changes across its over 120 countries in which it operated in. He is now currently at Meta, where he works within the Integrity and Risk Launches organization and has successfully helped launch over 300 related AI and ML related projects. He has also helped drive EU Digital Service Act and Digital Markets Act preparedness across multiple Meta products.   

Shawn has worked with market leaders across the globe to drive better business decisions based on enabling and scaling AI technologies through effective risk management and data governance techniques. This includes helping global brands navigate complex regulations and pioneering new frameworks that ensure cutting edge technology empowers society responsibly. He is also a subject matter expert on over 100 different regulations, framework and practices related to data risk. On his spare time, he provides mentorship to start up tech firms in Toronto and is passionate about helping start-ups succeed.

Author:

Aysha Machingara

Risk Strategy- Decision Science & Analytics
Uber
... read more

Aysha Machingara

Risk Strategy- Decision Science & Analytics
Uber

Author:

Suhas Manangi

Group Product Manager- AI,ML Defense Platform
Airbnb

Suhas Manangi is the product head of the AI/ML Defense Platform team at Airbnb, where he leads work on accelerating the use of AI and machine learning in fighting fraud and abuse to ensure trust and safety on the online marketplace. Before joining Airbnb, he spent many years working with trust and safety teams at Amazon, Lyft, and Microsoft. Manangi is also active in the product management community, helping product managers transition to using AI/machine learning in their products.

... read more

Suhas Manangi

Group Product Manager- AI,ML Defense Platform
Airbnb

Suhas Manangi is the product head of the AI/ML Defense Platform team at Airbnb, where he leads work on accelerating the use of AI and machine learning in fighting fraud and abuse to ensure trust and safety on the online marketplace. Before joining Airbnb, he spent many years working with trust and safety teams at Amazon, Lyft, and Microsoft. Manangi is also active in the product management community, helping product managers transition to using AI/machine learning in their products.

Author:

Jie Chen

Managing Director in Corporate Model Risk
Wells Fargo
... read more

Jie Chen

Managing Director in Corporate Model Risk
Wells Fargo

Author:

Kiran Yalavarthy

Executive Vice President, Head of Risk Modeling Group
Wells Fargo
... read more

Kiran Yalavarthy

Executive Vice President, Head of Risk Modeling Group
Wells Fargo

Author:

Adhar Walia

Senior Director of Product Management, AI ML
CVS Health
... read more

Adhar Walia

Senior Director of Product Management, AI ML
CVS Health
2:00 - 2:15pm (Pacific Time)

Want to join us?

Register your place for just $99!

REGISTER

WANT TO FIND OUT MORE? DOWNLOAD THE INFORMATION PACK