Having the right data and AI models doesn't always translate into business results. What if the missing piece is understanding how your business actually works?
In this episode,
Shirley Macbeth sits down with
Jennifer Hamel, Research Vice President of Enterprise Data and AI Services at
IDC, to explore why business context is essential to successful enterprise AI. Jennifer shares insights from IDC's research on what separates organizations generating measurable AI value from those still stuck in experimentation.
They discuss how organizations can turn fragmented data and institutional knowledge into reliable AI capabilities. Jennifer explains how knowledge graphs, ontologies, and semantic layers help AI agents make better decisions, why capturing employee expertise matters, and how human oversight must evolve as AI becomes more autonomous. They also explore the importance of governance, cross-functional collaboration, and the right expertise in scaling AI and delivering measurable business outcomes.
Key takeaways:
- Why business context is essential for reliable, scalable enterprise AI
- How knowledge graphs, ontologies, and semantic layers improve AI decision-making
- Why capturing tribal knowledge and unstructured data is critical to AI success
- How human-in-the-loop and human-on-the-loop approaches are changing work
- Why employee involvement and cross-functional collaboration matter for AI adoption
- How governance, domain expertise, and operating models support AI at scale
- Where organizations should start to move beyond AI pilots and deliver measurable business value
Highlights:
(
00:00) Introducing Jennifer Hamel
(
01:54) What context really means for AI
(
04:30) How knowledge graphs and semantic layers connect data
(
08:56) Unlocking unstructured data and tribal knowledge
(
11:08) Why employees are essential to AI transformation
(
12:54) Human-in-the-loop vs. human-on-the-loop
(
16:10) Overcoming organizational barriers to AI adoption
(
18:52) Combining technical expertise with business knowledge
(
20:45) Capturing institutional knowledge before employees retire
(
23:11) Where to start and how to scale AI
(
24:34) Rapid-fire insights on the future of AI
Resources:
What is Make It Real?
Artificial intelligence is changing the way real work gets done. But big ideas don’t drive change. People do.
The ones who roll up their sleeves, modernize data, and bring AI to life where it matters most. In the workflow.
This is for them. For you. The visionaries. The innovators. The leaders turning potential into performance and pushing their organizations forward.
Everyone’s talking about the promise of AI and what it can do. On this show, we’re talking about making it real.
Learn from the experts who are driving it forward and walk away with everything you need to bring AI to life in your organization.