Scaling AI Summit 2022

Mitigating Risk and Ensuring Responsibility without Lassoing Innovation

Contact Us
Silicon Valley
30 November, 2022-1 December, 2022

“Feedback from other events in our AI series: I loved the targeted approach for an event like this. I thought the calibre of attendees was appropriate for the event. It offered a great chance to network with industry leaders. ”

Technical Marketing Manager, Samtec

Confirmed Speakers

 

Agus Sudjianto

Executive Vice President, Head of Model Risk
Wells Fargo

Agus Sudjianto is an executive vice president, head of Model Risk and a member of the Management Committee at Wells Fargo, where he is responsible for enterprise model risk management. Prior to his current position, Agus was the modeling and analytics director and chief model risk officer at Lloyds Banking Group in the United Kingdom. Before joining Lloyds, he was an executive and head of Quantitative Risk at Bank of America. Prior to his career in banking, he was a product design manager in the Powertrain Division of Ford Motor Company. Agus holds several U.S.

Agus Sudjianto

Executive Vice President, Head of Model Risk
Wells Fargo

Agus Sudjianto

Executive Vice President, Head of Model Risk
Wells Fargo

Agus Sudjianto is an executive vice president, head of Model Risk and a member of the Management Committee at Wells Fargo, where he is responsible for enterprise model risk management. Prior to his current position, Agus was the modeling and analytics director and chief model risk officer at Lloyds Banking Group in the United Kingdom. Before joining Lloyds, he was an executive and head of Quantitative Risk at Bank of America. Prior to his career in banking, he was a product design manager in the Powertrain Division of Ford Motor Company. Agus holds several U.S. patents in both finance and engineering. He has published numerous technical papers and is a co-author of Design and Modeling for Computer Experiments. His technical expertise and interests include quantitative risk, particularly credit risk modeling, machine learning and computational statistics. He holds masters and doctorate degrees in engineering and management from Wayne State University and the Massachusetts Institute of Technology.

 

Betsy Greytok

VP of Ethics and Policy
IBM

Betsy Greytok

VP of Ethics and Policy
IBM

Betsy Greytok

VP of Ethics and Policy
IBM
 

Daniel Wu

Head of AI & ML, Commercial Banking
JPMorgan Chase

Daniel Wu is a technical leader who brings more than 20 years of expertise in software engineering, AI/ML, and high-impact team development. He is the Head of Commercial Banking AI and Machine Learning at JPMorgan Chase where he drives financial service transformation through AI innovation. His diverse professional background also includes building point of care expert systems for physicians to improve quality of care, co-founding an online personal finance marketplace, and building an online real estate brokerage platform.

Daniel Wu

Head of AI & ML, Commercial Banking
JPMorgan Chase

Daniel Wu

Head of AI & ML, Commercial Banking
JPMorgan Chase

Daniel Wu is a technical leader who brings more than 20 years of expertise in software engineering, AI/ML, and high-impact team development. He is the Head of Commercial Banking AI and Machine Learning at JPMorgan Chase where he drives financial service transformation through AI innovation. His diverse professional background also includes building point of care expert systems for physicians to improve quality of care, co-founding an online personal finance marketplace, and building an online real estate brokerage platform.

Daniel is passionate about the democratization of technology and the ethical use of AI - a philosophy he shares in the computer science and AI/ML education programs he has contributed to over the years.

 

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

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

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
 

Gurleen Virk

Responsible Innovation Program Manager- Responsible AI, ML
Google

Gurleen Virk

Responsible Innovation Program Manager- Responsible AI, ML
Google

Gurleen Virk

Responsible Innovation Program Manager- Responsible AI, ML
Google
 

Ken Archer

AI Ethics - Principal Product Manger
Twitch

Ken Archer

AI Ethics - Principal Product Manger
Twitch

Ken Archer

AI Ethics - Principal Product Manger
Twitch
 

Valeria Sadovykh

Technology Strategist
Microsoft

Valeria Sadovykh

Technology Strategist
Microsoft

Valeria Sadovykh

Technology Strategist
Microsoft
 

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.

Suhas Manangi

Group Product Manager- AI,ML Defense Platform
Airbnb

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.

 

Hooman Sedghamiz

Director of AI & ML
Bayer

Hooman Sedghamiz is Director of AI & ML at Bayer. He has lead algorithm development and generated valuable insights to improve medical products ranging from implantable, wearable medical and imaging devices to bioinformatics and pharmaceutical products for a variety of multinational medical companies.

Hooman Sedghamiz

Director of AI & ML
Bayer

Hooman Sedghamiz

Director of AI & ML
Bayer

Hooman Sedghamiz is Director of AI & ML at Bayer. He has lead algorithm development and generated valuable insights to improve medical products ranging from implantable, wearable medical and imaging devices to bioinformatics and pharmaceutical products for a variety of multinational medical companies.

He has lead projects, data science teams and developed algorithms for closed loop active medical implants (e.g. Pacemakers, cochlear and retinal implants) as well as advanced computational biology to study the time evolution of cellular networks associated with cancer , depression and other illnesses.

His experience in healthcare also extends to image processing for Computer Tomography (CT), iX-Ray (Interventional X-Ray) as well as signal processing of physiological signals such as ECG, EMG, EEG and ACC.

Recently, his team has been working on cutting edge natural language processing and developed cutting edge models to address the healthcare challenges dealing with textual data.

 

Jillian Powers

Responsible AI Lead
JP Morgan Chase

Jillian Powers

Responsible AI Lead
JP Morgan Chase

Jillian Powers

Responsible AI Lead
JP Morgan Chase
 

Adhar Walia

Senior Director of Product Management, AI ML
CVS Health

Adhar Walia

Senior Director of Product Management, AI ML
CVS Health

Adhar Walia

Senior Director of Product Management, AI ML
CVS Health
 

Pradeep Gupta

Senior Director- AI Industries, Solutions and Architecture
NVIDIA

Pradeep Gupta

Senior Director- AI Industries, Solutions and Architecture
NVIDIA

Pradeep Gupta

Senior Director- AI Industries, Solutions and Architecture
NVIDIA
 

Raynor Ren

Principal Engineer AL/ML
Amazon

Raynor Ren

Principal Engineer AL/ML
Amazon

Raynor Ren

Principal Engineer AL/ML
Amazon
 

Aysha Machingara

Risk Strategy- Decision Science & Analytics
Uber

Aysha Machingara

Risk Strategy- Decision Science & Analytics
Uber

Aysha Machingara

Risk Strategy- Decision Science & Analytics
Uber
 

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.

Oriana Medlicott

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

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.

 

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.

Shawn Rizvi

Integrity Risk Launches - Artificial Intelligence & Machine Learning
Meta

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.

 

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 Silverman

CEO and Founder
The Cantellus Group

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.

WHO WILL YOU MEET?

REGISTER YOUR INTEREST TO ATTEND

A member of the team will follow-up to discuss participation options in more detail.

About The Event

As global enterprise AI adoption reaches “critical mass,” AI is embedded in everyday life, business, government, medicine, finance and much more. But so too are the potential failures and consequential business risks and as AI is scaled, problems can (and often do) scale too – from autonomous collisions and algorithm prejudice to facial recognition fiascos and chatbot slanders.

Now a board priority, businesses must embed oversight into AI applications and processes, mitigating risk and ensuring responsibility without hindering innovation.

Scaling AI Summit is a unique platform for business leaders and tech marvels to come together and benchmark how best to achieve innovative risk-averse AI systems found on trust and reliability.

Attendees will…

  • Hear Board perspective and vision for unlocking long-term value through trusted AI
  • Cut through the divide and align innovation and business strategy with ethics, responsibility and trustworthiness
  • Understand how different organizations and industries are differentiating AI, machine learning, deep learning and neural networks internally – and why
  • Benchmark AI governance and risk management frameworks across organizations of different size and industry
  • Discuss human circuit breakers and their importance for building trust, resilience and robustness
  • Explore potential solutions for overcoming data quality and compliance challenges
  • Assess AI failures and how they could have been managed, mitigated and prevented

2022 Information Pack

Please complete your details to receive a copy of the 2022 Scaling AI Summit Information Pack.

  • Get an overview of the content themes for each day. For detailed information, view our agenda here
  • Projected Audience Breakdown
  • Take a look at our top speakers that you can expect to connect with
  • View detailed insights into who has previously attended the events 

Download Information Pack

Our Partners

Event Partner

Media Partners

Registration

Sending Your Team? Group Discounts Available!

Applicable for Primary Market, Service Provider and Industry Rates Only. Not available for Academic or ‘Start-Up’ rates

Book a Team of 3+ - Save an Additional 10% Off
Book a Team of 5+ - Save an Additional 15% Off

If you would like to register a team of 3 or more, please email [email protected] for your discount coupon code before registering. PLEASE NOTE: Discounts cannot be combined with Early Bird Pricing or any other discount or offer. If you have any questions about your registration, please call us on +44 (0)20 3696 2920

We accept the following cards through Stripe:
Thursday, August 18, 2022 to Wednesday, December 14, 2022
Enterprise Organisations
$499
Save $500
2 Day Conference Access
In-Person networking opportunities and virtual networking platform
These passes are limited for those attending from enterprise organisations. Registrations outside of this will be cancelled
Thursday, August 18, 2022 to Friday, October 14, 2022
AI Technology Developers
$999
Save $500
2 Day Conference Access
In-Person networking opportunities and virtual networking platform
Friday, August 19, 2022 to Monday, November 14, 2022
AI Audit Providers, Consultancies and Law Firms
$1,499
Save $500
2 Day Conference Access
In-Person networking opportunities and virtual networking platform
Preparing registration...

PARTNERSHIP OPPORTUNITIES

Interesting in partnership with Scaling AI Summit? Get in touch with Travis Howarth to learn about the opportunities available to you. 

DOWNLOAD THE SPONSORSHIP PROSPECTUS

E: [email protected]

T: +44 (0)20 3897 6807

Feedback from other events in our AI series

Contact Us