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Eddy Devisse

Data & AI Strategy, Digital Transformation (Quebec & Trinidad)

Eddy Devisse is a professional currently working as Practice Lead - Data Strategy & Governance at Videns Analytics. His career journey has been quite diverse and international in nature.

Educational Background

Eddy Devisse graduated with a degree in Engineering Physics from Montreal.12 This educational foundation in a technical field has likely contributed to his expertise in data and AI strategy.

Career Path

After completing his education, Eddy began his professional journey in Tokyo, Japan. In this role, he gained valuable experience leading international projects and managing product management teams.12 This international exposure early in his career has likely shaped his global perspective on business and technology.

Current Role

Presently, Eddy Devisse is associated with Videns Analytics, where he focuses on Data & AI Strategy and Digital Transformation. His work appears to span both Quebec and Trinidad, indicating a continued international aspect to his career.34

Areas of Expertise

Based on his current role and background, Eddy's areas of expertise likely include:

  • Data Strategy
  • AI Strategy
  • Digital Transformation
  • International Project Management
  • Product Management

Professional Network

Eddy maintains a professional presence on LinkedIn under the username "eddydevisse", where he shares insights and updates related to his field.3

Eddy Devisse's career trajectory showcases a blend of technical expertise, international experience, and leadership in data and AI strategies, positioning him as a notable professional in the field of data governance and digital transformation.

Highlights

Jul 19 · linkedin

𝐇𝐨𝐰 𝐢𝐬 𝐀𝐈 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 𝐭𝐨 𝐃𝐚𝐭𝐚 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞?

𝐀𝐈 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 deals with the business operations aspect of an organisation. Like it or not, the advent of Generative AI tools such as ChatGPT, Copilot, Midjourney that have brought to the fore difficult conversations to be had and decisions to be made within small and large organisations, for example: • How should we use this technology? • Are there boundaries we should impose on our employees? • What data will be used? • What happens if the wrong information is generated and shared? • Are you exposed legally?

Therefore some processes, policies, and controls need to be put in place to ensure that AI is well aligned with your organization's goals. Some processes you will need to plan are include documentation, risk management, bias assessment, auditability, and accountability. You'll also need to implement/adapt your ethical guidelines, risk assessment framework, monitoring and approval workflows, decision-making processes, internal/external communications and training/recruitement plans.

States and countries (USA's NIST AI Risk Management Framework, European Union's AI Act,...) tend to take a leadership role in the design of AI Governance standards, so you can count on a lot of material (too much?) to help you establish a Governance that fits your needs.

On the other hand, 𝐃𝐚𝐭𝐚 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 is much more focused on technology and data : availability, accuracy, consistency, and security, adhering to regulations and policies. There are a few accepted Data Governance frameworks within standards such as DAMA DMBOK, Data Governance Institute, McKinsey, etc. Operationally Data Governance is implemented through data policies, centralized data catalogs, data stewardship, and data quality management processes, while dealing with industry-specific data protection laws that focus on privacy and data security (GDPR, PIPEDA, ...).

Compared to Data Governance, AI Governance is a much more recently discussed topic in research and business. As a result of being such a new topic, there's no consensus yet on an accepted framework of best practices. More on that later...

#AIGovernance #DataGovernance #AIEthics #BusinessStrategy #RiskManagement #ResponsibleAI #AILeadership (image "people vs technology" by Gemini)

Jul 18 · linkedin

𝐖𝐡𝐚𝐭 𝐢𝐬 𝐀𝐈 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞?

It's essentially the practice of ensuring that AI tools and systems are used in a safe, ethical, and responsible manner. It deals with reducing risks like bias, privacy concerns and misuse while encouraging innovation and trust amongst the users and public, internal and external to the organisation.

𝐖𝐡𝐲 𝐬𝐡𝐨𝐮𝐥𝐝 𝐲𝐨𝐮 𝐜𝐚𝐫𝐞? • you're a business and your employees recently started using ChatGPT to answer questions from clients. • you're a customer of a company that shares your data with its subsidiaries. • you're the citizen in a town that offers you services based on where you live.

In this series of posts I'll be sharing some real life examples of how AI Governance can help make your journey towards AI adoption easier and more profitable.

#AIGovernance #AIEthics #BusinessStrategy #RiskManagement #ResponsibleAI #AILeadership (Image "AI and care" by Gemini)

Related Questions

What are some of Eddy Devisse's notable projects at Videns Analytics?
How did Eddy Devisse transition from engineering physics to data strategy?
What is Eddy Devisse's role in digital transformation at Videns Analytics?
How has Eddy Devisse's experience in Tokyo influenced his career?
What are Eddy Devisse's key achievements in data strategy?
Eddy Devisse
Eddy Devisse, photo 1
Eddy Devisse, photo 2
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Location

Québec, Quebec, Canada