Heidrick & Struggles Insights: Artificial Intelligence
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A deeper dive on our AI Thought leadership

Heidrick & Struggles Insights: Artificial Intelligence

AI is reshaping business models and organizations at a dizzying speed. Leaders face increased pressure to define and find the talent they need to understand, implement, and govern AI in a safe, ethical, and profitable way. This page is a frequently updated compendium of thought leadership-focused AI and its business impacts.
AL, Data & Analytics

What AI could mean for talent across the C-suite

In this article, we present insights on where and how generative and other forms of AI will impact organizational functions, businesses, and industries and how leaders should consider these impacts as they plan for the future.

AI in our podcasts

An interview with Pedro Uria Recio, chief data analytics and AI officer at True Digital

Pedro Uria Recio discusses key business applications for generative AI and what skills leaders will need to maximize its opportunities and minimize its risks.

Measuring AI’s impact within organizations: An interview with Sebastien Rozanes, global chief data officer at Carrefour

Sebastien Rozanes, global chief data officer of Carrefour, discusses the role of chief data officer, implementing AI and measuring its impacts, and how he is making sure Carrefour has the leaders it needs to navigate the use of emerging technologies.

The chief strategy officer's role in a data & AI-driven world

In this podcast, Heidrick & Struggles’ Leanne Arcinue speaks to Katie Stein, the chief strategy officer and global business leader of enterprise services and analytics at Genpact, a global professional services firm, and a non-executive director at CTG, a leading provider of digital transformation ID solutions and services.

Want to learn more about AI? See our AI, Data & Analytics practice page for an in-depth look at our consultants' expertise.
In the media
Here is what Heidrick & Struggles' consultants are talking about ...
From CIOs, Meet Your New Colleagues: Chief Data, Analytics and AI Officers
"As the use of data, analytics and AI becomes a board-level concern, thanks in part to the viral popularity of ChatGPT, more companies are appointing chief data officers, chief data and analytics officers, and chief AI officers, who are often directly reporting to CEOs."
Ryan Bulkoski, Global Head, AL, Data & Analytics Practice
Wall Street Journal, April 14, 2023 (Subscription required)
From On International Women in Engineering Day, engineers highlight the need for IT diversity
"In cases where teams are building and designing advanced technology such as AI systems, diverse teams are mission critical. If teams lack diversity when designing training data, it can result in an underrepresentation of a particular group. But it’s also about the diversity of the teams that are developing and evaluating the models, just so that they can make sure that those models are representative of multiple perspectives and experiences.”
Brittany Gregory, Engagement Manager, AI, Data & Analytics Practice
CIO Dive, June 23, 2023
From: Private Equity Recruits Data-Science Talent as Industry Tackles Machine Learning
Heidrick & Struggles' consultants were quoted in this exclusive Wall Street Journal PRO Private Equity article. (Subscription required.)
From Boards lack AI expertise as adoption plans advance

CIO Dive reported on the exclusive Heidrick & Struggles' 2023 Europe and US Data, Analytics, and Artificial Intelligence Executive Organization and Compensation Survey.  

“Many executives are comfortable with the level of expertise in data and analytics, but once you cross over into AI and ML, that’s where you get the big drop off in relevancy, deep expertise and knowledge.”

Ryan Bulkoski, Global Head, AL, Data & Analytics Practice -- As quoted in CIO Dive, October 27, 2023

Our AI experts understand that leadership roles in this space evolve rapidly.
AI talent on demand: Insights from BTG, a Heidrick & Struggles company
Jumpstarting AI Initiatives with On-Demand Talent [ebook]
Seemingly overnight, generative AI—or artificial intelligence capable of generating media and data in response to user prompts—became a front-page story and the hottest topic for companies large and small across industries. And no wonder, as it is poised to deliver enormous benefits for companies. However, despite the generally positive outlook, business leaders face multiple hurdles associated with adoption—from addressing concerns about data lineage, provenance, and security to finding talent with the expertise necessary to inform strategies and oversee execution.

This book explores four ways to leverage on-demand talent for AI, generative AI best practices and benefits for businesses, and how to better think about creating AI products for business impact.

Download today to learn how to access in-demand AI skills quickly and begin assessing opportunities and developing strategies before your longer-term permanent hiring needs are made clear. 
AI and Machine Learning Digital Product Manager to Support Product Strategy Initiatives
AI Expert to Conduct Market Landscape Research for a Top Tech Company
Generative AI Benefits and Best Practices for Businesses
In this episode of BTG Insights on Demand, author, entrepreneur, and innovation expert Stephen Wunker of New Markets Advisors joins BTG’s Rachel Halversen to discuss generative AI.
Creating AI Products for Business Impact
In this episode of BTG Insights on Demand, Dr. Mohammad Ghassemi, founder of boutique data and technology consulting firm Ghamut, joins BTG’s Rachel Halversen to discuss best practices for creating AI products that drive business impact.
Laying the Groundwork for Generative AI
Business leaders are racing to unlock the benefits of generative AI, but strategic talent in the space is extraordinarily scarce. BTG developed an immersive infographic to explore the enormous economic potential of AI, as well as hurdles to adoption—and how on-demand talent offers companies the ability to start assessing opportunities and laying a foundation for AI before longer-term hiring needs are made clear.
AI and Machine Learning: How Independent AI Experts Are Helping Companies Get Ahead of Disruption
This article looks at into four key ways to leverage on-demand talent on your AI journey.