ON DEMAND • Podcast Episode

How IoT and AI Save Money and Keep Machines Running: Smarter Industrial Operations

A candid conversation with Rajesh Solanki, Founder of Energos, on IoT, AI, predictive maintenance, mobile-first maintenance platforms, frontline workforce enablement, and why asset intelligence matters for businesses that depend on uptime.

FEATURED GUEST

Rajesh Solanki

Our featured guest

Rajesh Solanki

Founder, Energos

In this episode, Rajesh Solanki shares how Energos is helping businesses manage distributed assets across energy, mobility, manufacturing, facilities, and infrastructure environments. Drawing from his experience building companies in access control, video analytics, and asset management, Rajesh explains how IoT and AI can help organizations detect equipment issues earlier, reduce downtime, and give frontline workers better tools to maintain critical assets.

He also covers:

  • Why asset uptime is critical for energy, mobility, and infrastructure businesses
  • How IoT helps capture data from distributed and remote equipment
  • Where AI supports predictive maintenance and automated work orders
  • Why mobile-first tools are changing frontline maintenance workflows
  • How technician training can improve through videos, photos, and equipment history

Why this conversation matters now

Asset-heavy businesses are under pressure to keep equipment running while managing cost, technician churn, and increasingly distributed infrastructure.

01.

How do we reduce downtime before equipment fails?

02.

How can IoT data improve maintenance decisions?

03.

What role does AI play in predictive maintenance?

04.

How do we support frontline teams when technicians change often?

05.

How can mobile tools improve asset and maintenance workflows?

06.

What does asset management look like in energy, mobility, and smart manufacturing?

What you'll learn in this episode

After unlocking the full podcast, you’ll get expert insights on IoT, AI, predictive maintenance, asset intelligence, and frontline operations.
01.

How distributed energy and mobility infrastructure is changing asset management

02.

Why IoT data is essential for understanding equipment performance and downtime risk

03.

How agentic AI can trigger work orders from sensor alerts without manual intervention

04.

Why predictive models help teams act before shutdowns happen

05.

What makes legacy equipment data difficult to access and integrate

06.

Why mobile-first tools help frontline teams work faster and smarter

07.

How AI and IoT will reshape smart manufacturing, facilities, and public infrastructure

Who this episode is for

CEOs and business leaders CTOs and CIOs Operations leaders Energy and mobility leaders Manufacturing and facilities leaders Teams managing critical assets Growing businesses modernizing maintenance operations

Our host

Colin McCarthy

Colin McCarthy

IT and security leader

is an accomplished IT and security leader specializing in Zero Trust, SaaS operations, and enterprise technology at scale. He has built and led global IT organizations, driven cloud-first workplace transformations, partnered with leading technology vendors on product innovation, and is a respected speaker and community advocate in security, SaaSOps, and modern IT management.

A preview of the key takeaways

01.

Uptime is the real business outcome

Rajesh explains that asset maintenance is not just an operational function. For businesses built around equipment, uptime affects revenue, customer experience, and service continuity.

02.

IoT creates the data foundation for maintenance intelligence

Sensors, smart meters, EV chargers, HVAC systems, and industrial equipment can provide the data needed to understand asset behavior, performance patterns, and early warning signs.

03.

AI can move maintenance from reactive to predictive

AI can help auto-generate work orders, detect failure patterns, and predict when equipment is moving toward downtime so teams can act earlier.

04.

Legacy equipment remains a major integration challenge

Many older systems use locked or semi-open protocols, making data access difficult without OEM cooperation. This makes integration a critical part of asset intelligence.

05.

Frontline enablement is part of the platform

Energos supports field teams by allowing technicians to capture repair videos, photos, comments, and asset history, helping future workers troubleshoot faster.

Why tkxel is hosting this conversation 

 At tkxel, we work with growing businesses navigating AI adoption, IoT, data engineering, industrial automation, cloud modernization, and workflow transformation.

This episode is especially relevant for leaders trying to improve reliability across physical operations. It is not just a conversation about maintenance software. It is a business conversation about uptime, field productivity, asset intelligence, and using AI to keep critical infrastructure running.

WHERE TKXEL BRINGS CONTEXT

1 IoT and connected asset platforms 2 AI strategy and predictive maintenance 3 Data engineering and cloud modernization 4 Workflow automation and field operations

RECOGNIZED BY

Key concepts covered in this podcast

1

Predictive maintenance

Explains how AI and IoT can help teams detect failure patterns before equipment downtime occurs.

2

IoT-enabled asset management

Covers how connected equipment can generate the data needed for better asset visibility and maintenance planning.

3

Mobile-first CMMS

Shows how mobile tools can help technicians access asset history, troubleshooting steps, photos, and repair notes in the field.

4

Automated work orders

Explores how AI can convert alerts and sensor signals into maintenance actions without waiting for manual review.

5

Legacy equipment integration

Looks at why older assets can make data access, integration, and modernization more difficult.

6

Frontline workforce enablement

Covers how videos, comments, repair history, and mobile workflows can help technicians work faster and reduce knowledge loss.

7

Asset intelligence

Explains why uptime, reliability, and performance data are becoming critical for energy, mobility, manufacturing, and infrastructure operations.

Frequently Asked Questions (FAQs)

Is this episode only for energy and mobility companies? Expand FAQ Collapse FAQ
No. While the conversation includes energy and mobility examples, it is also relevant for manufacturing, facilities, infrastructure, healthcare, retail, and any business that depends on physical assets.
What do I get after accessing the podcast? Expand FAQ Collapse FAQ
You get access to the full podcast episode and transcript.
What is the core focus of the episode? Expand FAQ Collapse FAQ
The core focus is IoT-enabled asset management, predictive maintenance, AI-driven work orders, mobile-first CMMS, frontline workforce enablement, and equipment uptime.
Why is the podcast gated? Expand FAQ Collapse FAQ
It is positioned as a premium resource for leaders actively researching IoT, predictive maintenance, asset intelligence, and operational transformation.
Can this help teams planning asset management modernization? Expand FAQ Collapse FAQ
Yes. The episode is useful for teams thinking about IoT data, equipment reliability, technician workflows, mobile-first maintenance, AI models, and reducing downtime.

Access the full podcast

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