12:00 pm to 12:10 pm EST
Chair's Welcome and Opening Remarks
12:10 pm to 12:40 pm EST
Opening Keynote: The state of AI governance in banking
- Practical examples for what to consider in building a model for AI ethics and governance.
- The ethical, legal, social, and technical challenges with AI.
- Thoughts on regulators’ and global standards and state-of-the art technical approaches to integrating ethical considerations for AI roll out.
Madeline Bennett has been a technology journalist and commentator since 2000, covering everything from enterprise applications and FinTech to digital transformation.
Teuta Mercado leads the Responsible AI program at Capital One which seeks to empower associates to ethically innovate machine learning. Prior to leading the Responsible AI program, Teuta spent almost a decade in Compliance, mostly within the financial services industry, providing guidance and oversight on various regulations, policies, and practices.
Jason Maude is a coder, coach, and public speaker. He has over a decade of experience working in the financial sector, primarily in creating and delivering software. He is passionate about explaining complex technical concepts to those who are convinced that they won’t be able to understand them. He currently works at Starling Bank as their Chief Technology Advocate and host of the Starling podcast.
Ronald joined Allan Gray (Cape Town, South Africa) straight out of university, joining a newly formed team with the aim of growing the Data Science (DS) capability within the company. He completed his post-graduate studies in Mechanical Engineering at the Centre for Asset Integrity Management (UP); researching the use of blade tip timing techniques to identify and classify turbomachine blade damage. Interestingly, many of the techniques used in his research were transferable to the FinTech space, thus demonstrating the flexibility in application of popular methodologies across industries. Ronald remains an avid learner and is excited to see how businesses continue to unlock value using innovative DS related solutions.
Lead Data Scientist at Featurespace, Damiano Lupi has worked on award-winning machine learning models identifying financial crime for major financial institutions.
Madeline Bennett has been a technology journalist and commentator since 2000, covering everything from enterprise applications and FinTech to digital transformation.
Teuta Mercado leads the Responsible AI program at Capital One which seeks to empower associates to ethically innovate machine learning. Prior to leading the Responsible AI program, Teuta spent almost a decade in Compliance, mostly within the financial services industry, providing guidance and oversight on various regulations, policies, and practices.
Jason Maude is a coder, coach, and public speaker. He has over a decade of experience working in the financial sector, primarily in creating and delivering software. He is passionate about explaining complex technical concepts to those who are convinced that they won’t be able to understand them. He currently works at Starling Bank as their Chief Technology Advocate and host of the Starling podcast.
Ronald joined Allan Gray (Cape Town, South Africa) straight out of university, joining a newly formed team with the aim of growing the Data Science (DS) capability within the company. He completed his post-graduate studies in Mechanical Engineering at the Centre for Asset Integrity Management (UP); researching the use of blade tip timing techniques to identify and classify turbomachine blade damage. Interestingly, many of the techniques used in his research were transferable to the FinTech space, thus demonstrating the flexibility in application of popular methodologies across industries. Ronald remains an avid learner and is excited to see how businesses continue to unlock value using innovative DS related solutions.
Lead Data Scientist at Featurespace, Damiano Lupi has worked on award-winning machine learning models identifying financial crime for major financial institutions.
Madeline Bennett has been a technology journalist and commentator since 2000, covering everything from enterprise applications and FinTech to digital transformation.
Teuta Mercado leads the Responsible AI program at Capital One which seeks to empower associates to ethically innovate machine learning. Prior to leading the Responsible AI program, Teuta spent almost a decade in Compliance, mostly within the financial services industry, providing guidance and oversight on various regulations, policies, and practices.
Jason Maude is a coder, coach, and public speaker. He has over a decade of experience working in the financial sector, primarily in creating and delivering software. He is passionate about explaining complex technical concepts to those who are convinced that they won’t be able to understand them. He currently works at Starling Bank as their Chief Technology Advocate and host of the Starling podcast.
Ronald joined Allan Gray (Cape Town, South Africa) straight out of university, joining a newly formed team with the aim of growing the Data Science (DS) capability within the company. He completed his post-graduate studies in Mechanical Engineering at the Centre for Asset Integrity Management (UP); researching the use of blade tip timing techniques to identify and classify turbomachine blade damage. Interestingly, many of the techniques used in his research were transferable to the FinTech space, thus demonstrating the flexibility in application of popular methodologies across industries. Ronald remains an avid learner and is excited to see how businesses continue to unlock value using innovative DS related solutions.
Lead Data Scientist at Featurespace, Damiano Lupi has worked on award-winning machine learning models identifying financial crime for major financial institutions.
Madeline Bennett has been a technology journalist and commentator since 2000, covering everything from enterprise applications and FinTech to digital transformation.
Teuta Mercado leads the Responsible AI program at Capital One which seeks to empower associates to ethically innovate machine learning. Prior to leading the Responsible AI program, Teuta spent almost a decade in Compliance, mostly within the financial services industry, providing guidance and oversight on various regulations, policies, and practices.
Jason Maude is a coder, coach, and public speaker. He has over a decade of experience working in the financial sector, primarily in creating and delivering software. He is passionate about explaining complex technical concepts to those who are convinced that they won’t be able to understand them. He currently works at Starling Bank as their Chief Technology Advocate and host of the Starling podcast.
Ronald joined Allan Gray (Cape Town, South Africa) straight out of university, joining a newly formed team with the aim of growing the Data Science (DS) capability within the company. He completed his post-graduate studies in Mechanical Engineering at the Centre for Asset Integrity Management (UP); researching the use of blade tip timing techniques to identify and classify turbomachine blade damage. Interestingly, many of the techniques used in his research were transferable to the FinTech space, thus demonstrating the flexibility in application of popular methodologies across industries. Ronald remains an avid learner and is excited to see how businesses continue to unlock value using innovative DS related solutions.
Lead Data Scientist at Featurespace, Damiano Lupi has worked on award-winning machine learning models identifying financial crime for major financial institutions.
Madeline Bennett has been a technology journalist and commentator since 2000, covering everything from enterprise applications and FinTech to digital transformation.
Teuta Mercado leads the Responsible AI program at Capital One which seeks to empower associates to ethically innovate machine learning. Prior to leading the Responsible AI program, Teuta spent almost a decade in Compliance, mostly within the financial services industry, providing guidance and oversight on various regulations, policies, and practices.
Jason Maude is a coder, coach, and public speaker. He has over a decade of experience working in the financial sector, primarily in creating and delivering software. He is passionate about explaining complex technical concepts to those who are convinced that they won’t be able to understand them. He currently works at Starling Bank as their Chief Technology Advocate and host of the Starling podcast.
Ronald joined Allan Gray (Cape Town, South Africa) straight out of university, joining a newly formed team with the aim of growing the Data Science (DS) capability within the company. He completed his post-graduate studies in Mechanical Engineering at the Centre for Asset Integrity Management (UP); researching the use of blade tip timing techniques to identify and classify turbomachine blade damage. Interestingly, many of the techniques used in his research were transferable to the FinTech space, thus demonstrating the flexibility in application of popular methodologies across industries. Ronald remains an avid learner and is excited to see how businesses continue to unlock value using innovative DS related solutions.
Lead Data Scientist at Featurespace, Damiano Lupi has worked on award-winning machine learning models identifying financial crime for major financial institutions.
12:40 pm to 1:25 pm EST
Track 1
Quantum Technology: Programming the future
- Focus on future benefits
- Potential opportunities
- Applications of quantum technologies in the finance sector
Darrell M. West is the Vice President and Senior Fellow of Governance Studies at the Brookings Institution. He holds the Douglas Dillon Chair in Governance Studies. Previously, he was the John Hazen White Professor of Political Science and Public Policy and Director of the Taubman Center for Public Policy at Brown University. His current research focuses on American politics, technology policy, and artificial intelligence.
West is the author of 25 books including Turning Point: Policymaking in the Era of Artificial Intelligence (Brookings, 2020; with John Allen), Divided Politics, Divided Nation: Hyperconflict in the Trump Era (Brookings, 2019), The Future of Work: Robots, AI, and Automation (Brookings, 2018); Megachange: Economic Disruption, Political Upheaval, and Social Strife in the 21st Century (Brookings, 2016), Billionaires: Reflections on the Upper Crust (Brookings, 2014), Digital Schools (Brookings, 2012), The Next Wave: Using Digital Technology to Further Social and Political Innovation (Brookings, 2011), Brain Gain: Rethinking U.S. Immigration Policy (Brookings, 2010), Digital Medicine: Health Care in the Internet Era (Brookings, 2009), Digital Government: Technology and Public Sector Performance, (Princeton University Press, 2005), and Air Wars: Television Advertising in Election Campaigns (Congressional Quarterly Press, 2013), among others.
He is the winner of the American Political Science Association’s Don K. Price award for best book on technology (for Digital Government) and the American Political Science Association’s Doris Graber award for best book on political communications (for Cross Talk). His books have been translated into Chinese, Japanese, and Korean, and he has delivered lectures in numerous countries around the world.
Effective, reliable governance and regulation
- One size does not fit all: How does regulation and design together create trust in AI?
- Developing new tools to optimise the benefits of AI
- Applications of quantum technologies in the finance sector
Andre Burgess manages Strategic Partnerships in the Digital Sector at National Physical Laboratory where the focus is on delivering confidence in the intelligent and effective use of data. Andre has led the creation of NPL’s Assured Autonomy Programme, which brings together disciplines across Data Science, Time and Frequency, Electro-Magnetic Technologies, and Dimensional Metrology.
His work on Self-Driving Cars has focused on building collaborations across the UK’s CAV sector to establish an integrated digital measurement infrastructure and technical framework to underpin the simulated testing ecosystems for autonomous vehicles at all Technology Readiness Levels. Andre has over 20 years of experience in the TMT sector having worked across Tier 1 Telecoms operators as well as setting up an international digital services company and supporting the launch of several start-ups.
Audience Q&A
Madeline Bennett has been a technology journalist and commentator since 2000, covering everything from enterprise applications and FinTech to digital transformation.
Andre Burgess manages Strategic Partnerships in the Digital Sector at National Physical Laboratory where the focus is on delivering confidence in the intelligent and effective use of data. Andre has led the creation of NPL’s Assured Autonomy Programme, which brings together disciplines across Data Science, Time and Frequency, Electro-Magnetic Technologies, and Dimensional Metrology.
His work on Self-Driving Cars has focused on building collaborations across the UK’s CAV sector to establish an integrated digital measurement infrastructure and technical framework to underpin the simulated testing ecosystems for autonomous vehicles at all Technology Readiness Levels. Andre has over 20 years of experience in the TMT sector having worked across Tier 1 Telecoms operators as well as setting up an international digital services company and supporting the launch of several start-ups.
Darrell M. West is the Vice President and Senior Fellow of Governance Studies at the Brookings Institution. He holds the Douglas Dillon Chair in Governance Studies. Previously, he was the John Hazen White Professor of Political Science and Public Policy and Director of the Taubman Center for Public Policy at Brown University. His current research focuses on American politics, technology policy, and artificial intelligence.
West is the author of 25 books including Turning Point: Policymaking in the Era of Artificial Intelligence (Brookings, 2020; with John Allen), Divided Politics, Divided Nation: Hyperconflict in the Trump Era (Brookings, 2019), The Future of Work: Robots, AI, and Automation (Brookings, 2018); Megachange: Economic Disruption, Political Upheaval, and Social Strife in the 21st Century (Brookings, 2016), Billionaires: Reflections on the Upper Crust (Brookings, 2014), Digital Schools (Brookings, 2012), The Next Wave: Using Digital Technology to Further Social and Political Innovation (Brookings, 2011), Brain Gain: Rethinking U.S. Immigration Policy (Brookings, 2010), Digital Medicine: Health Care in the Internet Era (Brookings, 2009), Digital Government: Technology and Public Sector Performance, (Princeton University Press, 2005), and Air Wars: Television Advertising in Election Campaigns (Congressional Quarterly Press, 2013), among others.
He is the winner of the American Political Science Association’s Don K. Price award for best book on technology (for Digital Government) and the American Political Science Association’s Doris Graber award for best book on political communications (for Cross Talk). His books have been translated into Chinese, Japanese, and Korean, and he has delivered lectures in numerous countries around the world.
Madeline Bennett has been a technology journalist and commentator since 2000, covering everything from enterprise applications and FinTech to digital transformation.
Andre Burgess manages Strategic Partnerships in the Digital Sector at National Physical Laboratory where the focus is on delivering confidence in the intelligent and effective use of data. Andre has led the creation of NPL’s Assured Autonomy Programme, which brings together disciplines across Data Science, Time and Frequency, Electro-Magnetic Technologies, and Dimensional Metrology.
His work on Self-Driving Cars has focused on building collaborations across the UK’s CAV sector to establish an integrated digital measurement infrastructure and technical framework to underpin the simulated testing ecosystems for autonomous vehicles at all Technology Readiness Levels. Andre has over 20 years of experience in the TMT sector having worked across Tier 1 Telecoms operators as well as setting up an international digital services company and supporting the launch of several start-ups.
Darrell M. West is the Vice President and Senior Fellow of Governance Studies at the Brookings Institution. He holds the Douglas Dillon Chair in Governance Studies. Previously, he was the John Hazen White Professor of Political Science and Public Policy and Director of the Taubman Center for Public Policy at Brown University. His current research focuses on American politics, technology policy, and artificial intelligence.
West is the author of 25 books including Turning Point: Policymaking in the Era of Artificial Intelligence (Brookings, 2020; with John Allen), Divided Politics, Divided Nation: Hyperconflict in the Trump Era (Brookings, 2019), The Future of Work: Robots, AI, and Automation (Brookings, 2018); Megachange: Economic Disruption, Political Upheaval, and Social Strife in the 21st Century (Brookings, 2016), Billionaires: Reflections on the Upper Crust (Brookings, 2014), Digital Schools (Brookings, 2012), The Next Wave: Using Digital Technology to Further Social and Political Innovation (Brookings, 2011), Brain Gain: Rethinking U.S. Immigration Policy (Brookings, 2010), Digital Medicine: Health Care in the Internet Era (Brookings, 2009), Digital Government: Technology and Public Sector Performance, (Princeton University Press, 2005), and Air Wars: Television Advertising in Election Campaigns (Congressional Quarterly Press, 2013), among others.
He is the winner of the American Political Science Association’s Don K. Price award for best book on technology (for Digital Government) and the American Political Science Association’s Doris Graber award for best book on political communications (for Cross Talk). His books have been translated into Chinese, Japanese, and Korean, and he has delivered lectures in numerous countries around the world.
Madeline Bennett has been a technology journalist and commentator since 2000, covering everything from enterprise applications and FinTech to digital transformation.
Andre Burgess manages Strategic Partnerships in the Digital Sector at National Physical Laboratory where the focus is on delivering confidence in the intelligent and effective use of data. Andre has led the creation of NPL’s Assured Autonomy Programme, which brings together disciplines across Data Science, Time and Frequency, Electro-Magnetic Technologies, and Dimensional Metrology.
His work on Self-Driving Cars has focused on building collaborations across the UK’s CAV sector to establish an integrated digital measurement infrastructure and technical framework to underpin the simulated testing ecosystems for autonomous vehicles at all Technology Readiness Levels. Andre has over 20 years of experience in the TMT sector having worked across Tier 1 Telecoms operators as well as setting up an international digital services company and supporting the launch of several start-ups.
Darrell M. West is the Vice President and Senior Fellow of Governance Studies at the Brookings Institution. He holds the Douglas Dillon Chair in Governance Studies. Previously, he was the John Hazen White Professor of Political Science and Public Policy and Director of the Taubman Center for Public Policy at Brown University. His current research focuses on American politics, technology policy, and artificial intelligence.
West is the author of 25 books including Turning Point: Policymaking in the Era of Artificial Intelligence (Brookings, 2020; with John Allen), Divided Politics, Divided Nation: Hyperconflict in the Trump Era (Brookings, 2019), The Future of Work: Robots, AI, and Automation (Brookings, 2018); Megachange: Economic Disruption, Political Upheaval, and Social Strife in the 21st Century (Brookings, 2016), Billionaires: Reflections on the Upper Crust (Brookings, 2014), Digital Schools (Brookings, 2012), The Next Wave: Using Digital Technology to Further Social and Political Innovation (Brookings, 2011), Brain Gain: Rethinking U.S. Immigration Policy (Brookings, 2010), Digital Medicine: Health Care in the Internet Era (Brookings, 2009), Digital Government: Technology and Public Sector Performance, (Princeton University Press, 2005), and Air Wars: Television Advertising in Election Campaigns (Congressional Quarterly Press, 2013), among others.
He is the winner of the American Political Science Association’s Don K. Price award for best book on technology (for Digital Government) and the American Political Science Association’s Doris Graber award for best book on political communications (for Cross Talk). His books have been translated into Chinese, Japanese, and Korean, and he has delivered lectures in numerous countries around the world.
Track 2
How to operationalise AI ethics and measure the success of governance
- Why AI ethics is an imperative for 2021 and no longer a nice-to-have if
- What the state of best practice looks like, and what controls organisations need to build
- How to measure and monitor AI ethics: i.e. make the most subjective issue (ethics) something which can be objectively measured (metrics)
Charles Radclyffe is a serial entrepreneur who has focused his career on solving tough technology challenges for some of the world’s largest organisations.
A self-confessed ‘geek’ at heart, Charles combines his technical fluency with his business nous to really get to grips with how best to conceive, design, build and implement solutions which can unlock transformative business value.
In addition to providing advisory services to clients, Charles has built and sold three technology companies so far in his career, and in his spare time passionately supports and mentors young entrepreneurs and start-up teams.
Past roles include Head of Technology at Deutsche Bank Labs in London and Associate Partner at Elixirr. He was until recently Head of AI at Fidelity International.
Charles is currently a Forbes contributing writer and is a Visiting Fellow of the University of Bristol.
He is an experienced public speaker having presented at various events in the UK, US, and the Middle East on the philosophical questions around Smart Devices, Data Science, and Artificial Intelligence industry and the societal impact of the application of this technology.
Charles holds an MA in Law from Cambridge, and his hobbies include golf, motorsport, science fiction and early modern history.
Building the foundations: Points to consider BEFORE you start using AI
- There are several foundations you have to lay before starting to use machine learning and AI
- Could you manage this on a spreadsheet? The importance of a strong business case for AI
- Why an agile technical culture is vital to good AI governance
- Clean and well understood data: How to make sure you haven’t built your AI on a rubbish tip
Jason Maude is a coder, coach, and public speaker. He has over a decade of experience working in the financial sector, primarily in creating and delivering software. He is passionate about explaining complex technical concepts to those who are convinced that they won’t be able to understand them. He currently works at Starling Bank as their Chief Technology Advocate and host of the Starling podcast.
Audience Q&A
Rene Millman is a freelance writer and broadcaster who covers AI, IoT, mobile technology, cloud, and infrastructure. In the past, he has also worked as an analyst for both Gartner and IDC. He has made numerous television appearances discussing the technology trends and companies that shape our lives.
Charles Radclyffe is a serial entrepreneur who has focused his career on solving tough technology challenges for some of the world’s largest organisations.
A self-confessed ‘geek’ at heart, Charles combines his technical fluency with his business nous to really get to grips with how best to conceive, design, build and implement solutions which can unlock transformative business value.
In addition to providing advisory services to clients, Charles has built and sold three technology companies so far in his career, and in his spare time passionately supports and mentors young entrepreneurs and start-up teams.
Past roles include Head of Technology at Deutsche Bank Labs in London and Associate Partner at Elixirr. He was until recently Head of AI at Fidelity International.
Charles is currently a Forbes contributing writer and is a Visiting Fellow of the University of Bristol.
He is an experienced public speaker having presented at various events in the UK, US, and the Middle East on the philosophical questions around Smart Devices, Data Science, and Artificial Intelligence industry and the societal impact of the application of this technology.
Charles holds an MA in Law from Cambridge, and his hobbies include golf, motorsport, science fiction and early modern history.
Jason Maude is a coder, coach, and public speaker. He has over a decade of experience working in the financial sector, primarily in creating and delivering software. He is passionate about explaining complex technical concepts to those who are convinced that they won’t be able to understand them. He currently works at Starling Bank as their Chief Technology Advocate and host of the Starling podcast.
Rene Millman is a freelance writer and broadcaster who covers AI, IoT, mobile technology, cloud, and infrastructure. In the past, he has also worked as an analyst for both Gartner and IDC. He has made numerous television appearances discussing the technology trends and companies that shape our lives.
Charles Radclyffe is a serial entrepreneur who has focused his career on solving tough technology challenges for some of the world’s largest organisations.
A self-confessed ‘geek’ at heart, Charles combines his technical fluency with his business nous to really get to grips with how best to conceive, design, build and implement solutions which can unlock transformative business value.
In addition to providing advisory services to clients, Charles has built and sold three technology companies so far in his career, and in his spare time passionately supports and mentors young entrepreneurs and start-up teams.
Past roles include Head of Technology at Deutsche Bank Labs in London and Associate Partner at Elixirr. He was until recently Head of AI at Fidelity International.
Charles is currently a Forbes contributing writer and is a Visiting Fellow of the University of Bristol.
He is an experienced public speaker having presented at various events in the UK, US, and the Middle East on the philosophical questions around Smart Devices, Data Science, and Artificial Intelligence industry and the societal impact of the application of this technology.
Charles holds an MA in Law from Cambridge, and his hobbies include golf, motorsport, science fiction and early modern history.
Jason Maude is a coder, coach, and public speaker. He has over a decade of experience working in the financial sector, primarily in creating and delivering software. He is passionate about explaining complex technical concepts to those who are convinced that they won’t be able to understand them. He currently works at Starling Bank as their Chief Technology Advocate and host of the Starling podcast.
Rene Millman is a freelance writer and broadcaster who covers AI, IoT, mobile technology, cloud, and infrastructure. In the past, he has also worked as an analyst for both Gartner and IDC. He has made numerous television appearances discussing the technology trends and companies that shape our lives.
Charles Radclyffe is a serial entrepreneur who has focused his career on solving tough technology challenges for some of the world’s largest organisations.
A self-confessed ‘geek’ at heart, Charles combines his technical fluency with his business nous to really get to grips with how best to conceive, design, build and implement solutions which can unlock transformative business value.
In addition to providing advisory services to clients, Charles has built and sold three technology companies so far in his career, and in his spare time passionately supports and mentors young entrepreneurs and start-up teams.
Past roles include Head of Technology at Deutsche Bank Labs in London and Associate Partner at Elixirr. He was until recently Head of AI at Fidelity International.
Charles is currently a Forbes contributing writer and is a Visiting Fellow of the University of Bristol.
He is an experienced public speaker having presented at various events in the UK, US, and the Middle East on the philosophical questions around Smart Devices, Data Science, and Artificial Intelligence industry and the societal impact of the application of this technology.
Charles holds an MA in Law from Cambridge, and his hobbies include golf, motorsport, science fiction and early modern history.
Jason Maude is a coder, coach, and public speaker. He has over a decade of experience working in the financial sector, primarily in creating and delivering software. He is passionate about explaining complex technical concepts to those who are convinced that they won’t be able to understand them. He currently works at Starling Bank as their Chief Technology Advocate and host of the Starling podcast.
1:25 pm to 1:40 pm EST
Networking Break and Meetings
1:40 pm to 2:00 pm EST
Track 1
Case Study: Estimating implicit bias in AI models
- Machine learning models are typically frequentist based on the datasets used to train.
- Maximizing the data likelihood completely causes over-fitting, so practitioners use some form of regularization to avoid a complete data fit.
- Extracting and quantifing this bias in the optimization step, leading to insights into the assumptions made by AI models
- Identifing shortcomings in the data collection process itself
Dr. Suhas Sreehari received his PhD in electrical engineering from Purdue University, where he worked on Bayesian estimation, statistical reconstruction, mathematical modeling, and distributed optimization techniques. He has won several awards including the 2020 SIAM Imaging Sciences Best Paper Prize and the 2018 IEEE Signal Processing Society Young Author Best Paper Award.
Currently, at Wells Fargo, Suhas is responsible for development of explainable machine learning algorithms for a variety of application including automatic hyper-parameter tuning, financial crimes detection, credit scoring, fraud detection, and loan loss forecasting.
Track 2
Strategic Perspectives for organisations developing and deploying AI
- How can AI support people to manage their finances?
- Who is responsible for the mistakes AI make in finance and how can they be held to account
- How will people be able to know that automated actions are being taken in their best interests?
2:00 pm to 2:10 pm EST
Audience Q&A
Madeline Bennett has been a technology journalist and commentator since 2000, covering everything from enterprise applications and FinTech to digital transformation.
Dr. Suhas Sreehari received his PhD in electrical engineering from Purdue University, where he worked on Bayesian estimation, statistical reconstruction, mathematical modeling, and distributed optimization techniques. He has won several awards including the 2020 SIAM Imaging Sciences Best Paper Prize and the 2018 IEEE Signal Processing Society Young Author Best Paper Award.
Currently, at Wells Fargo, Suhas is responsible for development of explainable machine learning algorithms for a variety of application including automatic hyper-parameter tuning, financial crimes detection, credit scoring, fraud detection, and loan loss forecasting.
Madeline Bennett has been a technology journalist and commentator since 2000, covering everything from enterprise applications and FinTech to digital transformation.
Dr. Suhas Sreehari received his PhD in electrical engineering from Purdue University, where he worked on Bayesian estimation, statistical reconstruction, mathematical modeling, and distributed optimization techniques. He has won several awards including the 2020 SIAM Imaging Sciences Best Paper Prize and the 2018 IEEE Signal Processing Society Young Author Best Paper Award.
Currently, at Wells Fargo, Suhas is responsible for development of explainable machine learning algorithms for a variety of application including automatic hyper-parameter tuning, financial crimes detection, credit scoring, fraud detection, and loan loss forecasting.
Madeline Bennett has been a technology journalist and commentator since 2000, covering everything from enterprise applications and FinTech to digital transformation.
Dr. Suhas Sreehari received his PhD in electrical engineering from Purdue University, where he worked on Bayesian estimation, statistical reconstruction, mathematical modeling, and distributed optimization techniques. He has won several awards including the 2020 SIAM Imaging Sciences Best Paper Prize and the 2018 IEEE Signal Processing Society Young Author Best Paper Award.
Currently, at Wells Fargo, Suhas is responsible for development of explainable machine learning algorithms for a variety of application including automatic hyper-parameter tuning, financial crimes detection, credit scoring, fraud detection, and loan loss forecasting.
2:10 pm to 2:30 pm EST
The Future of AI model governance in banking
A data scientist leader specialising in predictive analytics for the financial services sector. In 2015, he transitioned from research astrophysicist to commercial data science, when he started working with the fast-growing Cambridge AI spin-out Featurespace.
2:30 pm to 2:40 pm EST
Audience Q&A
A data scientist leader specialising in predictive analytics for the financial services sector. In 2015, he transitioned from research astrophysicist to commercial data science, when he started working with the fast-growing Cambridge AI spin-out Featurespace.
Madeline Bennett has been a technology journalist and commentator since 2000, covering everything from enterprise applications and FinTech to digital transformation.
A data scientist leader specialising in predictive analytics for the financial services sector. In 2015, he transitioned from research astrophysicist to commercial data science, when he started working with the fast-growing Cambridge AI spin-out Featurespace.
Madeline Bennett has been a technology journalist and commentator since 2000, covering everything from enterprise applications and FinTech to digital transformation.
2:40 pm to 3:10 pm EST
Closing Panel - AI: Avoiding knowledge gaps & inequalities
- How can we narrow the knowledge gap between AI “experts” and the variety of people who use, interact with, and are impacted by these technologies?
- How do we harness the potential of AI systems while ensuring that they do not exacerbate existing inequalities and biases, or even create new ones?
Madeline Bennett has been a technology journalist and commentator since 2000, covering everything from enterprise applications and FinTech to digital transformation.
Jeremy Ernst is a computer science professional interested in various areas within software development and information technology, with a focus on Data Science and Deep Learning. Jeremy is proficient in using automation to solve increasingly complex problems that are more pressing.
Nitesh Soni is data science and AI leader with 13+ years of blended experience across different industries such as FSI, Public, HR and scientific research. Nitesh has a track record of leading impactful business engagements successfully by applying in-depth data science & AI knowledge and executing projects in a rapid lab and agile environment.
Nitesh Soni possess a solid experience of creating business proposals and has a strong capability of bridging a gap between business, AI and technology
Madeline Bennett has been a technology journalist and commentator since 2000, covering everything from enterprise applications and FinTech to digital transformation.
Jeremy Ernst is a computer science professional interested in various areas within software development and information technology, with a focus on Data Science and Deep Learning. Jeremy is proficient in using automation to solve increasingly complex problems that are more pressing.
Nitesh Soni is data science and AI leader with 13+ years of blended experience across different industries such as FSI, Public, HR and scientific research. Nitesh has a track record of leading impactful business engagements successfully by applying in-depth data science & AI knowledge and executing projects in a rapid lab and agile environment.
Nitesh Soni possess a solid experience of creating business proposals and has a strong capability of bridging a gap between business, AI and technology
Madeline Bennett has been a technology journalist and commentator since 2000, covering everything from enterprise applications and FinTech to digital transformation.
Jeremy Ernst is a computer science professional interested in various areas within software development and information technology, with a focus on Data Science and Deep Learning. Jeremy is proficient in using automation to solve increasingly complex problems that are more pressing.
Nitesh Soni is data science and AI leader with 13+ years of blended experience across different industries such as FSI, Public, HR and scientific research. Nitesh has a track record of leading impactful business engagements successfully by applying in-depth data science & AI knowledge and executing projects in a rapid lab and agile environment.
Nitesh Soni possess a solid experience of creating business proposals and has a strong capability of bridging a gap between business, AI and technology
Madeline Bennett has been a technology journalist and commentator since 2000, covering everything from enterprise applications and FinTech to digital transformation.
Jeremy Ernst is a computer science professional interested in various areas within software development and information technology, with a focus on Data Science and Deep Learning. Jeremy is proficient in using automation to solve increasingly complex problems that are more pressing.
Nitesh Soni is data science and AI leader with 13+ years of blended experience across different industries such as FSI, Public, HR and scientific research. Nitesh has a track record of leading impactful business engagements successfully by applying in-depth data science & AI knowledge and executing projects in a rapid lab and agile environment.
Nitesh Soni possess a solid experience of creating business proposals and has a strong capability of bridging a gap between business, AI and technology