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PODCAST

ByteSized

Hi, I’m Kyler Cheatham, host of the ByteSized podcast, where we dive into the dynamic world of digital transformation and its impact on businesses today. Each episode features insights from industry experts and thought leaders who share their experiences, challenges, and successes in navigating enterprise tech. From Industry 4.0 to SAP S/4HANA, ERP, artificial intelligence, and beyond, our experts unpack it all! Subscribe now and transform the way you think about technology in your business!

technology

All Episodes

1:25

Who Is Responsible for Evaluating Software Risks?

ByteSized ·

2026/03/12

Software vendors are responsible for selling their products, not for outlining every risk your organization might face. This episode explores why businesses must take ownership of risk evaluation when purchasing SaaS, from understanding contract terms and exit clauses to identifying operational and financial exposure before signing the agreement.Watch the full episode here: https://youtube.com/live/V64qoIrPdAQ Connect with me on LinkedIn https://www.linkedin.com/in/kylercheatham/ Follow me on

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3:25

Who Should Own Your Data?

ByteSized ·

2026/03/11

When data is scattered across SaaS systems, vendor platforms, and disconnected databases, accountability becomes critical. This episode explores the role of the data owner and data steward, why process discipline matters for maintaining reliable data, and how organizations can rebuild trust in their systems by establishing clear ownership and governance. Watch the full episode here: https://youtube.com/live/V64qoIrPdAQ Connect with me on LinkedIn

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1:56

What Does Digital Maturity Look Like on the Shop Floor?

ByteSized ·

2026/03/10

Digital maturity is not robots or futuristic automation. It shows up in everyday operations. This episode explores what a digitally mature production day actually looks like, from simple digital time tracking to connected machines, accessible performance data, and teams that know how to question and validate the information they use to make decisions. Watch the full episode here: https://youtube.com/live/V64qoIrPdAQ Connect with me on LinkedIn https://www.linkedin.com/in/kylercheatham/ Follow

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1:48

What Does Digital Maturity Actually Mean?

ByteSized ·

2026/03/09

Digital maturity is often treated like a buzzword, but what does it really mean inside an organization? This episode explores the practical markers of digital maturity, from implementing and adopting new systems to understanding data architecture, infrastructure, and connectivity. True maturity is not about buying more technology. It is about knowing how to use it and where your data actually lives. Watch the full episode here: https://youtube.com/live/V64qoIrPdAQ Connect with me on LinkedIn

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2:05

What Becomes Obsolete When AI Runs the Workflow?

ByteSized ·

2026/03/06

If AI agents can eventually run operational workflows autonomously, what parts of today’s products, roles, or processes become obsolete? This episode explores how AI-driven execution could reduce variation, push quality beyond traditional Six Sigma standards, and reshape industries built around human-managed operations.Watch the full episode here: https://youtube.com/live/A31UKTnGmLg Connect with me on LinkedIn https://www.linkedin.com/in/kylercheatham/ Follow me on Instagram

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4:08

What’s Actually Preventing Fully Autonomous AI Agents?

ByteSized ·

2026/03/05

What’s really holding AI agents back from operating autonomously in high-stakes environments? This episode explores the real constraints: safety, immature IT architectures, fragmented data, and weak feedback loops. Until those foundations improve, most enterprises simply aren’t ready for fully autonomous AI.Watch the full episode here: https://youtube.com/live/A31UKTnGmLg Connect with me on LinkedIn https://www.linkedin.com/in/kylercheatham/ Follow me on Instagram

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2:46

When Does an AI Agent Become a Digital Employee?

ByteSized ·

2026/03/04

At what point does an AI agent move beyond being a tool and start functioning like a digital employee? The answer comes down to intent and design. This episode explores how agents that inform decisions and act within workflows differ from simple AI tools, and why the label “digital employee” often creates more confusion than clarity.Watch the full episode here: https://youtube.com/live/A31UKTnGmLg Connect with me on LinkedIn https://www.linkedin.com/in/kylercheatham/ Follow me on Instagram

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6:59

If You Built a Company Today, Where Would AI Actually...

ByteSized ·

2026/03/03

If you were founding a company today with AI agents at the core, where would you start? In this episode, we explore how to use AI strategically from day one, automating low-risk, repeatable workflows like invoicing and order translation while avoiding complex, data-poor processes that invite failure. For established businesses, the focus shifts to identifying fertile ground where strong data, clear pain points, and reliable processes create the right conditions for AI to drive measurable

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3:48

Defining AI Agents in Enterprise Software

ByteSized ·

2026/03/02

What exactly is an AI agent in the enterprise context? In this episode, we separate generative AI tools that summarize and retrieve information from predictive AI agents that inform real operational decisions. From smarter purchasing and demand forecasting to execution on the shop floor, we explore how AI agents can enhance transactions, improve decision quality, and support human expertise without replacing it.Watch the full episode here: https://youtube.com/live/A31UKTnGmLg Connect with me

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4:54

Designing AI Agents with Clarity and Control

ByteSized ·

2026/02/27

AI agents are being positioned as digital employees for every task, from equipment monitoring to HR benefits analysis. But how many agents do you actually need, and who owns them? This episode explores the line between smart automation and unnecessary complexity, the risks of agent sprawl, and why organizations must define scope, governance, and data ownership before deploying fleets of AI agents.Watch the full episode here: https://youtube.com/live/MwUqeqrrI1s Connect with me on LinkedIn

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3:24

The Rise of AI Agents and the Risk of Over-Automation

ByteSized ·

2026/02/26

AI agents are being marketed as digital employees for every task and workflow. But more agents do not mean better outcomes. This episode explores the risks of over-automation, unclear ownership, and unmanaged data exposure, and why disciplined system mapping must come before expanding your automation footprint.Watch the full episode here: https://youtube.com/live/MwUqeqrrI1s Connect with me on LinkedIn https://www.linkedin.com/in/kylercheatham/ Follow me on Instagram

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4:37

Fix Your Data Before AI

ByteSized ·

2026/02/25

AI is not the starting point. Clean data and disciplined processes are. In this episode, we unpack why most digital conversations are only twenty percent technology and eighty percent business discipline. From unknown systems and conflicting revenue numbers to governance, compliance, and vendor confusion, the real foundation is data clarity. If you cannot trace where your information comes from or who owns it, no AI tool is going to save you.Watch the full episode here:

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2:54

The AI Reality Check in Manufacturing

ByteSized ·

2026/02/24

Are digital conversations solving real problems or selling big dreams? In this episode, we unpack the gap between aspirational AI messaging and the practical reality on the manufacturing floor. From high-level consulting pitches that miss the mark to workforce challenges spanning boomers to Gen Z, the focus is shifting. Exploratory budgets are fading, buzzwords are not enough, and manufacturers are asking a simpler question: how does this help us make more, better, faster?Watch the full episode

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2:13

Why Digital Investments Fail to Deliver Real Value

ByteSized ·

2026/02/23

Most companies are not struggling with AI. They are struggling with the foundations underneath it. In this episode, we break down the real gaps preventing organizations from realizing value from digital investments, from surface-level AI case studies to low IT maturity and vendor lock-in that limits what businesses can actually do with their own data. When software contracts and platform dependencies hold the power, the business pays the price. Watch the full episode here:

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4:52

Go Live at Any Cost? Why Speed Is Breaking Your...

ByteSized ·

2026/02/20

You can turn a system on in six months. That does not mean it will work. In this episode, we unpack the obsession with aggressive go-live dates, executive bonuses tied to “being live,” and what happens when sales promises a Rolls-Royce but delivery shows up with a Honda budget. From missing support at go-live to vague post-production contracts and “standard” agreements that shift all risk back to you, this is about understanding what you are actually signing and why every agreement is

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4:28

Healthy Integrations vs. Expensive Chaos

ByteSized ·

2026/02/19

Integrations are not plug-and-play, no matter what the sales demo shows. In this episode, we break down the difference between healthy integration models and the kind that lock you into costly, opaque vendor relationships. From RFP traps and lowball bids to undocumented middleware and custom builds you do not own, this is about protecting your architecture. If you cannot swap a tool without breaking the business, you do not have integration. You have dependency.Watch the full episode here:

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4:53

Data Mapping Is Miserable. Do It Anyway.

ByteSized ·

2026/02/18

Data mapping is tedious, painful, and absolutely necessary. In this episode, we break down why hard does not mean wrong, how poor migrations and lift-and-shift thinking create bigger disasters later, and why discipline around cleansing, configuration, and architecture matters more than chasing cloud hype. The work is not glamorous, but skipping it is what breaks servers, budgets, and teams.Watch the full episode here: https://www.youtube.com/live/QUPBWtzpb0Q Connect with me on LinkedIn

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5:11

Should Every Department Have Its Own System?

ByteSized ·

2026/02/17

More systems do not mean more control. They usually mean more conflicting numbers, more broken integrations, and more time spent arguing over which report is real. In this minisode, we talk about why “less systems, better architecture” is the goal, why platforms like Salesforce and HubSpot can turn into expensive traps when over-customized, and why system architecture has to stay internal so you are not held hostage by consultants, add-ons, and gated licensing.Watch the full episode

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4:32

Solution Architecture Comes First

ByteSized ·

2026/02/16

If your solution architecture is chaotic, AI will only scale the chaos faster. In this episode, we break down the difference between clean, integrated systems with clear data ownership and reactive, spreadsheet-driven environments that live in constant fire drills. Before layering in automation or AI, the foundation has to be right, because architecture directly impacts profitability, agility, and leadership visibility. Watch the full episode here:

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4:08

Scaling IT Is Not Supposed to Be Easy

ByteSized ·

2026/02/13

The biggest myth in scaling IT is the belief that it will eventually become easy or perfectly streamlined.In this episode, we unpack the critical difference between what is truly wrong and what is simply hard. That distinction drives smarter prioritization, better operating models, and clearer decisions about when to bring in outside support. Not every pain point deserves immediate escalation. Some challenges are part of growth. The key is knowing which is which. Watch the full episode here:

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131 results

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