Resources

This Excel spreadsheet provides a sample of large enterprises working with the top 25 AI “unicorn” startups, including ChatGPT, X.ai, Harvey, Hugging Face, and more.

In this PDF download created in June 2025, Curtis Michelson takes a deep dive into how people are using generative AI coding tools; the risks and potential return on investment; some of the most popular and powerful platforms; and a few of the open questions about where this all goes.

40 slides on the trajectory of AI, strategic questions companies should be asking in 2025, and case studies of deployments at companies like J.P. Morgan and Nissan.

Eighteen helpful resources to keep you on the cutting edge of generative AI developments, recommended by other members of the InnoLead community.

The InnoLead team compiled this deck, available in PowerPoint and PDF form, as a resource for professionals helping to shape AI strategy and deployments.

What are the best courses for someone looking to build their generative AI skills in 2025? We did the research for you, highlighting 20 courses that range from free to $25,000. Download the spreadsheet.

AI is going to become the default setting for 90 percent of professionals… and 10 more predictions about AI’s impact on innovation management.

Presented at an InnoLead event in May 2023, this short PDF preso puts AI into context, and looks at how it will transform layers of civilization, from fashion to culture to nature.

Created in June 2024, here’s our curated list of software-as-a-service tools for innovation, insights, design, startup scouting, and other tasks.

From May 2024: A look at the WINS framework, the law of computability, and the three phases of generative AI adoption: understanding, leverage, and transformation.

From May 2024: a look at AI software vendors targeting the enterprise; the enterprise AI development stack; emerging GenAI use cases; eight key GenAI capabilities enterprises are investing in; and more.

AT&T’s AI policy, created in 2021 and updated in 2023, applies to both employees and third-parties that might be involved in creating or using AI solutions. The document explains specific requirements for using GenAI, and outlines a number of principles to which the parties must adhere.

Customer relationship management firm Salesforce has deployed AI throughout its product set, and has codified a set of five “Trusted AI Principles” that are embedded in the business.

This 26-page PDF is a fascinating document, as it outlines the United States’ Department of Defense approach to improving organizational readiness to deploy AI. It explains the intended outcomes of using AI, the DoD’s approach to agile, and then explains what capabilities are needed for what purposes.

The $57 billion technology company has published more than most companies related to AI. First, it published a document outlining its six principles for responsible AI. Then, the company unveiled a more detailed AI framework that is intended to be applied to the development and use of AI by Cisco. Get access to both PDFs…

The $47 billion British telecom Vodafone published an excellent seven-page AI framework in 2019 that explained how the company intended to develop and employ AI technologies.

$58 billion pharma company Pfizer published a two-page “policy paper” that provided some greater detail than the three “Responsible AI Principles” that is has communicated publicly. The policy paper outlines the company’s position on AI development, use, regulation, governance, transparency, privacy, training, and other matters.

While not a policy, per se, InnoLead members might be interested in seeing Cigna’s publicly-posted “approach” to ethical AI. The brief statement from the $195 billion healthcare insurer disclosed that is has an AI Center of Enablement that governs AI “guardrails, systemic controls and processes” and ensures the responsible use of AI. The cross-functional Center includes individuals from technology, security, legal, compliance, marketing, and other departments.

This three-page document explains how employees are supposed to categorize the risk of particular AI solutions, and offers a list of 11 sample questions on topics from cyber security to health and safety (i.e., “Is there a risk to the health or safety of individuals, posed by use of the AI?”)

The $371 billion healthcare giant UHG included a new “responsible AI” policy in its 2022 sustainability report. The AI policy, while just a simple one-pager, includes details on governance, an internal ML Review Board, and outlined key components, and referenced an internal “Responsible Use of AI” program that was established with an external advisory board.

Weighing in at 27-pages, the Microsoft AI Standard explains the operationalization of six AI principles related to accountability, transparency, fairness, and other topics.

Like Adobe and other software firms that have incorporated GenAI into their core products, digital design tool Canva has unveiled special Terms of Use that govern their AI products.

As GenAI makes its way into product offerings, companies are providing addendums to their Terms of Use that coverage GenAI user guidelines. $19 billion software company Adobe, for example, has published a bulleted list of new guidelines that govern the use of Adobe’s GenAI features.

From the description: “Engage with business leadership and stakeholders to promote the AI vision, facilitate the design of processes for AI integration, champion AI initiatives across the organization, secure support, and drive adoption and change management.”

“We are seeking an innovative and experienced Chief AI Officer to join our corporate team in Los Angeles. In this role, you will be responsible for spearheading the development and implementation of AI solutions to elevate guest experiences, optimize operational efficiency and unlock new revenue streams across our hotels.”

From the description: “. In this role, you will join a highly innovative and entrepreneurial group with a focus on accelerating AI Use Cases in the US. With a deep expertise in AI, large language models (LLM), and natural language processing (NLP) you will help shape our AI Innovation Strategy and lead the experimentation of innovative AI-driven products and services aligned to Novartis US objectives.”

From the description: “As a Gen AI Analyst, you will be at the forefront of developing and implementing innovative artificial intelligence solutions for our organization.”

From the description: “This position will play a critical role in unlocking the next chapter of transformational growth for this over $60-billion-dollar global tech company.”

From the description: “We are seeking an experienced and forward-thinking Director of AI to spearhead the development and implementation of artificial intelligence strategies within our marketing area to gain increased productivity and overall effectiveness of our organization.”

From the description: “Capital One is searching for an enterprising Director of Generative AI capable of directing the development of the company’s generative AI platform. If selected, the chosen candidate will lead a team of AI experts focused on optimizing training pipelines, deploying large ML models, and building scalable infrastructure using advanced cloud technologies.”

The Chief Artificial Intelligence and Machine Learning (AI/ML) Officer will be a key partner with the Vice Chairs, Chief Digital Officer, and other key leaders in setting the strategy and related performance outcomes for the AI/ML portfolio of U.S. Bank. As a report to the Chief Digital Officer of U.S. Bank, this role will also be key part of the executive leadership of the digital organization, setting its strategic direction in partnership with the executive leadership team.

UCLA’s Chief Data & Artificial Intelligence Officer will be responsible for discovering opportunities to leverage advanced data, analytics, and artificial intelligence across the campus community, collaborating and enabling the organization to pursue innovations in data and AI, and advancing the university’s capabilities through internal and external partnerships.

Orbit is a platform being developed by the Martin Trust Center for MIT Entrepreneurship to support new venture development, and they’re interested in giving early access to corporate leaders from the InnoLead community, to test it out and provide feedback.

Five Gen AI workouts to boost your productivity and understanding. Each takes no more than twenty minutes.

InnoLead created this AI vision map with our friends at School of the Possible in January 2024 to help you and your colleagues think through where you are, and what destination you’re heading toward. Available in PPT and PDF format.

Presented at an InnoLead event in May 2023, this short PPT preso serves up an overview of how AI will impact healthcare over the coming five years, specifically focused on wellness/healthcare/aging at home, but also touching on drug discovery and the work of clinicians.

The construction and engineering firm Black & Veatch launched an internal tournament in 2023 to spur employees to explore potential ways they might employ generative AI. This slightly-genericized PowerPoint deck provides and overview of the tournament’s objectives; rules; and judging process.

This short PPT deck looks at the state of generative AI in 2023 and poses the questions of whether it might help facilitate better knowledge management across silos of a large organization, or change the way user interfaces are designed.

Generative AI is a big buzzword right now. But what are the tools you and your team should be exploring? Download our new spreadsheet, which lists a number of tools and resources to help you get started with generative AI.