š Jennifer S. Ives ā Chief AI Officer | Turning AI Investment into Growth | Driving AI Adoption at Scale in Enterprise & Regulated Environments | GTM, Commercial, P&L | Board Director & Global Keynote Speaker | Top 43 Women in AI
Chief AI Officer | Turning AI Investment into Growth | Driving AI Adoption at Scale in Enterprise & Regulated Environments | GTM, Commercial, P&L | Board Director & Global Keynote Speaker | Top 43 Women in AI
š Jennifer S. Ives ranks #171 of 14,983 LinkedIn creators in GTM / Go-to-Market, and is a standout voice in United States. They have 12.7K followers and published 15 posts in the last 30 days at a 5.1% average engagement rate.
- 12.7K followers
- 15 posts / 30d
- 5.1% avg engagement
- 154 follower growth / 30d
The roast
Jennifer S. Ives is a Chief AI Officer whose primary contribution to the field is convincing boards that the only way to fix a technology problem is to pay for a seminar on leadership alignment. She calls herself a Top 43 Woman in AI, which is a very specific way of admitting you didn't quite make the top forty.
About š Jennifer
AI isnāt failing because of the technology.Itās failing because organizations are investing without the leadership and systems required to turn it into results.Leaders are moving fast on AI. Investment is increasing. Expectations are high. And yet inside most organizations, I see the same pattern:AI is pushed to teams without clear priorities, aligned leadership, or systems needed to make it successful.Adoption stalls. ROI never materializes.Thatās the gap I focus on closing - helping organizations turn AI ambition into real, measurable outcomes and growth.I started my career as a geospatial engineer, working with data, systems, and emerging technologies. That foundation shapes how I approach AI today.Iāve seen firsthand that even the most powerful technology fails if it isnāt understood, trusted, and adopted. Thatās what led me to focus on the intersection of technology, leadership, and execution - where real outcomes are determined.I work with boards, CEOs, and executive teams to define where responsible AI creates value, align leadership around those priorities, and ensure adoption translates into business results.My work centers on: ⢠Leadership alignment ⢠System design and scaled adoption ⢠Market strategy and growthBecause AI creates value when it is embedded into how an organization operates and competes.In executive roles, Iāve owned P&L, go-to-market strategy, platform adoption, and partner ecosystems, leading cross-functional teams to move AI from experimentation into scaled outcomes.Iāve worked across enterprise, government, and regulated environments where trust and execution matter as much as innovation, including leading the AI Center for Government, supported by Microsoft and Google.org.Iāve helped VC- and PE-backed companies grow and scale through key inflection points, and built market ecosystems that translate AI capability into real-world impact.Recognized as a Top 43 Woman in AI and named Forbes Connector Extraordinaire, I focus on building trusted relationships that help innovation scale responsibly.Iām most energized when working with high-growth global organizations where alignment and speed translate into impact, and with enterprise and public sector leaders at the executive and board level to shape how AI drives strategy, growth, and competitive advantage.Outside of work, Iām a mom, wife, mentor, downhill skier, off-the-beaten-path traveler, an extroverted introvert, lover of Bernese Mountain Dogs, and lifelong learner who believes curiosity paired with purpose is what keeps innovation human.www.jenniferives.com
Highlights
- Top 5% in United States ā Ranked #58 of 5205 creators
- High Impact ā 648 avg engagements per post Ā· top 5%
- Top 5% in GTM / Go-to-Market ā Ranked #5 of 105 creators
- Top Engager ā 5.10% rate Ā· top 10%
Recent posts
I am proud beyond measure. Well done Karrington Harried!
11 reactions Ā· 2 comments Ā· 2 reposts
AI adoption numbers on a dashboard can look far better than the actual business results. Tools are available. Pilots are running. Teams are experimenting. Usage is increasing. And thatās a really good time to ask: -> Whatās actually changed? š Because *access to AI* isnāt the same as *AI adoption.* š A pilot isnāt proof. š Usage isnāt the same as operating differently. The better measure isnāt how much AI is being used. Itās whether AI is changing the quality, speed, and accountability of the decisions the organization depends on. A simple way to test this is to ask: ⢠What decisi
84 reactions Ā· 43 comments Ā· 1 reposts
Most companies donāt have an AI technology problem. They have an organizational courage problem. *Let that really sink in.* Iāve worked with hundreds of leaders across public and private organizations around the world and see leadership teams freeze in one of two places: 1. They move too slowly because theyāre afraid of āgetting AI wrong.ā Or⦠2. They move too fast and create highly scattered experimentation with very little shared direction. And *neither* creates true transformation. The organizations generating real value from AI are doing something different. Theyāre approaching AI
35 reactions Ā· 6 comments Ā· 2 reposts