Helen Yu to speak at #RISK A.I. Digital

Livestreaming March 20 and 21, #RISK A.I. Digital examines how organisations can harness AI technologies responsibly, ethically and safely.

Across two days at #RISK A.I. Digital, thought leaders, industry experts and senior professionals will provide their insight, enabling audiences to understand how to mitigate risk, comply with regulations and achieve robust governance over AI.

Event speaker, Helen Yu is CEO at Tigon Advisory. She is a Wall Street Journal best-selling author, and the Host of CXO Spice. Her book ‘Ascend Your Start-up’ has received three awards in addition to WSJ Best Seller.

Helen will be at #RISK A.I. Digital to discuss best practices for AI adoption. Below, she goes over her professional journey and introduces the key issues.

Could you briefly outline your career so far?

I am the founder and CEO of Tigon Advisory Corp, Host of CXO Spice and a co-founder of Dark Cryptonite. I am also a vice chair for Global Cybersecurity Association, and Board of Director at CEC (Communications Engineering Company) and KeenFolks.

As an independent Board Director, I bring a unique perspective to the board room, combining deep technology thought leadership, AI and cybersecurity risk management, go-to-market strategy, and customer experience to deliver thoughtful questions and insights that help drive informed decisions.

I have demonstrated success of leading ambitious companies, inspiring culture-building, multi-billion dollars revenue growth and profitability through a career that has spanned early-stage start-ups, pre-IPOs to Fortune 500 enterprises including Oracle, Adobe and Marketo.

I have managed over 100 million dollars of P&L as a chief customer officer at global scale, and have led AI deployment at global financial institutions.

As an executive with over 20 years of experience, I have guided organizations through digital transformation, strategic planning, AI and cybersecurity risk management and go-to-market optimization.

What are the primary ethical and technical questions that CEOs should be most concerned about as organizations prepare for age of AI?

Regarding ethics, it’s about privacy and data security, asking: How can we implement data security measures to safeguard privacy while leveraging data for AI-driven insights and innovation?

On the technical side, it’s about data quality and availability. The question here is about how we can ensure the continuous availability of high-quality, diverse datasets necessary for training AI models, while addressing biases and ensuring inclusivity.

What does best practice look like when it comes to navigating the AI adoption journey with care and due diligence?

Best practices for navigating the AI adoption journey with care and due diligence involve a combination of ethical, technical, and strategic considerations. 

Here is a question we should ask as we embark on the AI adoption journey: how can we establish a framework that prioritizes ethical principles, ensures technical rigor, aligns with our strategic goals, and enables us to deploy AI responsibly and sustainably while minimizing risks for all stakeholders involved?