How do you move beyond AI hype and actually build systems that deliver real business impact?

In this episode of the Orlando Insights Podcast, we sit down with Lena Hall, Founder & CEO of Droid AI, to explore Context Engineering — the missing layer between large language models and real-world enterprise systems.

Lena is an expert in practical AI adoption, data engineering, cloud, and pragmatic architecture. With 15+ years of deeply technical experience, she has led large-scale data, analytics, machine learning, and cloud initiatives across global organizations.

Before founding Droid AI, Lena served as:

• Head of Developer Experience, North America at Amazon Web Services

• Lead of Big Data Developer Relations at Microsoft

Today, through Droid AI, she helps businesses get real results from AI — defining Data + AI strategies, integrating LLMs into complex enterprise systems, connecting AI solutions with business tools, and optimizing outcomes through proven architecture.

In this conversation, we cover:
✔️ What Context Engineering actually means
✔️ Why most AI implementations fail
✔️ How to integrate LLMs with enterprise data systems
✔️ Designing AI architectures that scale
✔️ Practical lessons from AWS and Microsoft
✔️ Building AI that works in production — not just demos

If you're a data engineer, AI architect, CTO, or business leader looking to move from experimentation to production-grade AI, this episode is for you.

In this episode of the Orlando Insights Podcast, I sit down with Natalia Kuklova, a senior data science and AI leader with over a decade of experience building enterprise analytics, machine learning, and decision systems inside highly regulated industries.

Natalia has led large-scale initiatives across risk, product analytics, experimentation, and enterprise AI strategy. She works directly with executive teams to move organizations beyond dashboards and models — and toward measurable, durable business outcomes.

We explore:

• What Decision Intelligence actually means in practice
• Why most AI strategies stall at the “model” stage
• How leaders can connect data science to real business decisions
• The practical framework of Automate, Augment, Inform
• What regulated enterprises must consider when scaling AI
• How governance and innovation can coexist

Natalia is also a contributor to the Forbes Technology Council, where she writes about AI strategy, decision intelligence, and the future of work.

If you’re a data leader, executive, AI strategist, or builder looking to connect analytics to real decisions — this episode is for you.

AI is no longer a future concept—it’s embedded in how people work every day. Ivonne Kinser breaks down what leaders must understand to navigate AI’s real impact on teams, decisions, and culture.

AI doesn’t fail because of technology—it fails because of leadership gaps. Melinda deHoll joins Orlando Insight Group to explore trust, judgment, and what leaders must get right when implementing AI at scale.

Great ideas fail every day — not because they’re wrong, but because leaders avoid hard decisions.In this episode of Orlando Insights, Misty Carson challenges common leadership myths and explains why clarity, ownership, and execution—not buzzwords—separate real impact from stalled initiatives.

I’m joined by Terezija Semenski to discuss why so many AI projects fail to produce ROI and the critical role training and education play in fixing that. As the founder of Stack Labs and a LinkedIn Learning instructor with 250,000+ students worldwide, she offers a rare, global perspective on what actually works.

In this episode of the Orlando Insights Podcast, host Henry Clavo sits down with Anna Sajer, Technology Development Module Engineer at Intel, to explore what continuous learning really means in the fast-moving world of semiconductor engineering.

Anna shares her journey from UC Berkeley to Intel, her approach to innovation and leadership, and how curiosity drives growth both in and outside the lab.
She also opens up about mentoring through the Society of Women Engineers (SWE) and why empowering others is central to progress in STEM.

🎙️ Listen as we discuss:

• Staying adaptable in a rapidly evolving tech landscape

• Lessons from leading and mentoring in engineering

• Building inclusive spaces that foster creativity and belonging

Follow Orlando Insights Podcast for more conversations with professionals shaping the future of data, AI, and technology.

#OrlandoInsightsPodcast #Engineering #Leadership #Intel #WomenInSTEM #ContinuousLearning #Innovation

From Robotics to Microsoft: Orville Daley’s AI Journey

In this episode, Orville Daley shares his path from joining his high school robotics team to becoming a two-time Microsoft intern. He talks about working on AI Agents, Windows development, and his perspective on emerging AI trends like LoRA adapters.

Orville also discusses his passion for STEM equity in Jamaica and how he’s helping the next generation of innovators find their voice in tech.

🎧 Tune in for an inspiring conversation on growth, innovation, and the future of AI.

#AI #Microsoft #Podcast #STEM #Innovation #OrlandoInsightPodcast