Cutting through the hype to unleash enterprise AI value

Hear from leaders from MIT, Microsoft, Constellation Research, and SymphonyAI about how to see through the hype of AI to get to true business value

Episode Summary:

In this compelling webinar moderated by Ray Wang, industry leaders from SymphonyAI unpack the evolving role of AI in enterprise transformation. They move beyond the generative AI hype to explore how vertical AI, predictive models, and responsible data infrastructure are delivering measurable ROI across retail, finance, industrial, and IT operations. Through real-world examples and persona-aligned insights, the discussion emphasizes how AI becomes a strategic co-pilot—reducing risk, elevating productivity, and accelerating decision velocity.

“A lot of companies…I think they presume that there’s going to be immediate ROI. And the reality is that a lot of the companies are in the early stages of AI adoption. They’re trying some pilots, some POCs. I would say that they are going with some more of the simple use cases like bots or…driving some automation when it comes to document intelligence. But overall, I think we’re in the early stages of what we’ll see as a gradual adoption across AI.”

— Eve Psalti, Senior Director, Microsoft Azure

Discussion Breakdown:

The Reality Behind the Generative AI Buzz:

• Generative AI reignited interest in enterprise AI, but adoption remains in its early stages.
• Many companies still rely on simple use cases like automation bots and document intelligence.

Beyond Hype: Building AI on Real Business Problems:

• AI success depends on aligning efforts with long-known challenges—not creating problems for solutions.
• Use cases like predictive maintenance and fraud detection offer clear KPIs and tangible results.

Data Readiness and Responsible AI:

• Enterprises must prepare by unifying siloed data, enabling secure APIs, and ensuring privacy-aware model deployment.
• A responsible AI framework—governed by transparency, ethics, and human oversight—is essential for trust and scalability.

From Pilot to Production: Scaling with Confidence:

• POCs should focus on business outcomes rather than model accuracy alone.
• SymphonyAI advocates for bootcamps demonstrating end-to-end value within a week for faster stakeholder validation.

Human-AI Partnership and Organizational Readiness:

• Success requires domain experts who understand both AI and the business context.
• Companies should invest in workforce education and adopt agentic AI systems that learn and improve over time.

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