Using PETs, Artificial Intelligence and Machine Learning to adopt a proactive stance on data | Kisaco Research

Artificial Intelligence and Machine Learning can allow companies to gain greater insights on existing data and explore new ways for that data to then be utilised. PETs can aid this process during development, implementation and monitoring.

  • Synthetic data as a means by which to train AI/ML models- the pros, cons and achieving the best result in practice
  • Utilising AI/ML in conjunction with PETs to help achieve a proactive rather than reactive data stance, giving organisations greater insight to the data they store and how it is used
  • Strengthening the ability of enterprise to comply with various requirements from regulators, customers and internal stakeholders.
Speaker(s): 

Author:

David Silva

Chief Technology Officer
Algemetric

David William Silva is the Chief Technology Officer at Algemetric. He is responsible for translating business strategies and objectives into efficient, user-friendly, secure, and privacy-preserving data-centric solutions to enable organizations to extract maximum value from data correctly. David started his career as a Software Engineer focused on web services and agile software development. This experience led him to be involved with several projects, from startups to government and large corporations in many different fields. After 17 years of conducting R&D in Brazil, David moved to the US to engage in scientific research applied to a global industry of security and privacy, which has been his focus for the past seven years. David leads the technical operation at Algemetric.

David Silva

Chief Technology Officer
Algemetric

David William Silva is the Chief Technology Officer at Algemetric. He is responsible for translating business strategies and objectives into efficient, user-friendly, secure, and privacy-preserving data-centric solutions to enable organizations to extract maximum value from data correctly. David started his career as a Software Engineer focused on web services and agile software development. This experience led him to be involved with several projects, from startups to government and large corporations in many different fields. After 17 years of conducting R&D in Brazil, David moved to the US to engage in scientific research applied to a global industry of security and privacy, which has been his focus for the past seven years. David leads the technical operation at Algemetric.

Author:

Gero Gunkel

Chief Operating Officer ZCAM
Zurich Insurance Group

Gero Gunkel

Chief Operating Officer ZCAM
Zurich Insurance Group

Author:

Adri Purkayastha

Group Head of AI and Digital Risk Analytics
BNP Paribas

Adri Purkayastha is currently Group Head of AI and Digital Risk Analytics at BNP Paribas S.A. In this role, his span of responsibility includes all Brands and Subsidiaries, across Domestic Markets, International Financial Services and Corporate & Institutional Banking. He focuses on developing, championing, and building an enterprise-wide understanding of AI/ML opportunities and risks, and overseeing end-to-end AI & Analytics governance and operating models. Additionally, he provides strategic and technical counsel on Data strategy and development of AI and Data Science solutions across the entire Group. Earlier in his career at Deloitte, he was the founder and product owner of AI-enabled SaaS solutions and AI & Data Science advisory lead focussed on Financial Services, worked in Forensic Data Analytics at EY and on Marketing Data Science in Pitney Bowes. He comes from a background that includes entrepreneurship, product management, and data science where we founded companies building AI-enabled products for EdTech, and P2P marketplaces.

Adri Purkayastha

Group Head of AI and Digital Risk Analytics
BNP Paribas

Adri Purkayastha is currently Group Head of AI and Digital Risk Analytics at BNP Paribas S.A. In this role, his span of responsibility includes all Brands and Subsidiaries, across Domestic Markets, International Financial Services and Corporate & Institutional Banking. He focuses on developing, championing, and building an enterprise-wide understanding of AI/ML opportunities and risks, and overseeing end-to-end AI & Analytics governance and operating models. Additionally, he provides strategic and technical counsel on Data strategy and development of AI and Data Science solutions across the entire Group. Earlier in his career at Deloitte, he was the founder and product owner of AI-enabled SaaS solutions and AI & Data Science advisory lead focussed on Financial Services, worked in Forensic Data Analytics at EY and on Marketing Data Science in Pitney Bowes. He comes from a background that includes entrepreneurship, product management, and data science where we founded companies building AI-enabled products for EdTech, and P2P marketplaces.

Author:

Emmanuel Olivares

Senior Manager, Engineering & Optimisation Data & AI, Digital
BT

Emmanuel Olivares

Senior Manager, Engineering & Optimisation Data & AI, Digital
BT

Author:

John Bowman

Chief Privacy Office - AI Ethics Market Strategy Lead
IBM

John Bowman, joined IBM’s Chief Privacy Office in October 2022 with a primary mission to deliver client success and drive growth in IBM, including advising on enhancements to support regulatory compliance, helping to create a deployment framework, and commercialisation of select CPO assets.  Previously, John was a Senior Principal in Promontory, a Business Unit of IBM Consulting, having joined the company in 2014. John’s client engagements included managing privacy change programmes, preparing applications for Binding Corporate Rules, helping organisations prepare for regulatory audits, and advising on issues of risk, compliance, and public policy. Prior to joining Promontory, John worked at the UK Ministry of Justice where he was Head of EU and International Data Protection Policy. In this role, he served as the UK government’s lead negotiator on the EU General Data Protection Regulation (GDPR). John served on the International Association of Privacy Professionals (IAPP) European Advisory Board 2019-2020 and has over 25 articles published on privacy-related topics.

John Bowman

Chief Privacy Office - AI Ethics Market Strategy Lead
IBM

John Bowman, joined IBM’s Chief Privacy Office in October 2022 with a primary mission to deliver client success and drive growth in IBM, including advising on enhancements to support regulatory compliance, helping to create a deployment framework, and commercialisation of select CPO assets.  Previously, John was a Senior Principal in Promontory, a Business Unit of IBM Consulting, having joined the company in 2014. John’s client engagements included managing privacy change programmes, preparing applications for Binding Corporate Rules, helping organisations prepare for regulatory audits, and advising on issues of risk, compliance, and public policy. Prior to joining Promontory, John worked at the UK Ministry of Justice where he was Head of EU and International Data Protection Policy. In this role, he served as the UK government’s lead negotiator on the EU General Data Protection Regulation (GDPR). John served on the International Association of Privacy Professionals (IAPP) European Advisory Board 2019-2020 and has over 25 articles published on privacy-related topics.