Infinite IoT: The Evolution of AI Industrial Deployment

What was once the story found in science fiction novels has increasingly taken the world by storm. Everything from the ads you see online to advancing car technology is driven by artificial intelligence. In this episode of Infinite IoT, host Mat Ackley spoke with Lumenci CEO Harish Daiya to discuss the evolution of AI industrial deployment and more.

Daiya grew up in India with a passion for math. Eventually, he graduated with an Engineering degree in Computer Science and after several years of early work, moved to the US where he worked in a variety of businesses before co-founding Lumenci.

A serial entrepreneur and blogger with a passion for innovation, 12+ years of experience in technical consulting for IP litigation and licensing, and a recently accepted member of the prestigious Forbes Business Council, Daiya’s expert insights into AI deployment are fascinating for anyone interested in AI regardless of their existing knowledge.

With companies continuously looking for ways to reduce costs and increase profitability, vertical AI solutions provide start-ups with the opportunity “to build these vertical AI companies with a specific business use case in mind,” said Daiya. Vertical AI solutions can be based on Horizontal AI solutions while also being designed to target specific business challenges.

But to begin, Daiya provides a brief history of how AI came to be. “If we look back at the evolution of AI, AI actually evolved in the largest tech companies – Google, Microsoft, IBMs of the world – because they had a lot of data at their disposal and also good resources to use that data for specific use cases and business problems.”

Google Brain is an example of a horizontal, general-purpose AI solution that can be used by any company. And with the horizontal solutions, most of the research has been done so the larger organizations are building on what already exists. And with that, “there is also now room for start-ups to build these vertical AI companies with a specific business use case in mind” and that’s where Lumenci comes into play.

Listen in to learn more about the challenges of AI industrial deployment and how Lumenci helps companies define, develop, and deploy AI solutions for any industry, to address any challenge.

Follow us on social media for the latest updates in B2B!

Image

Latest

Drive In, Drive Out: The Rhythm of Metropolis
April 15, 2026

Behind the seemingly mundane choreography of a drive-in lies a broader story about how modern cities script behavior, turning even the simplest actions into rehearsed routines. What looks like repetition is really a quiet testament to systems designed for flow and control, where efficiency often outweighs individuality. In places like Metropolis, the rhythm of…

Read More
telemetry
Visibility at Scale: How Data, Telemetry, and IT Architecture Enable High-Performance Data Centers
April 14, 2026

As AI infrastructure scales at an unprecedented pace, the complexity of managing data center operations has shifted from purely physical challenges to deeply digital ones. Today’s facilities generate enormous volumes of telemetry, and industry estimates suggest hyperscale and AI data centers produce millions of data points per second. At that scale, visibility is no…

Read More
healthcare
The Early-Stage Playbook for Healthcare Founders: Credibility, Founder Mindset, and Real Market Fit
April 13, 2026

Healthcare innovation is having a moment. With over 500 startups applying annually to leading accelerators like Health Wildcatters, the sector is seeing a surge of founders eager to tackle inefficiencies in care delivery, diagnostics, and patient experience. At the same time, digital health is regaining momentum—after a period of market correction, funding went up…

Read More
apprenticeship degree
Career-Connected Health Care: Why the Apprenticeship Degree Is the Future
April 13, 2026

Hospitals across the country are feeling the strain—too many open roles, not enough trained professionals, and a growing gap between what students learn and what the job actually demands on day one. Training is getting more expensive, timelines are stretching, and healthcare leaders are being forced to rethink how new clinicians enter the field….

Read More