Ep. 246 - From Vision to Value. Making AI and Data Work on the Plant Floor. MFG HUB 246

Описание: This episode wraps up our Technology Modernization theme with a Siemens perspective that feels very grounded in what factories are actually dealing with right now. Brian Albrecht and Louis Hughes from the Siemens XD team walk through what they are seeing in the field across brownfield and greenfield conversations, why executives keep asking for industrial AI before the foundations are ready, and what it really takes to turn messy plant data into something you can trust for analytics, operations, and eventually AI enabled workflows.

A big thread in this conversation is that modern manufacturing is not blocked by ambition, it is blocked by readiness. Everyone wants faster decisions, fewer surprises, and higher uptime, but the path there usually starts with boring work that is not optional. Data transparency across machine, plant, MES, and cloud layers. A clear definition of what real time actually needs to mean for a given use case. And a plan to contextualize and orchestrate data so that AI does not get fed junk inputs. Brian and Louis explain how they approach those early customer conversations, how workshops turn vision into prioritized use cases, and why trust, pilots, and repeatability matter more than flashy demos when you are working in regulated or high consequence environments.

If you have been hearing nonstop AI buzz but you are still wrestling with legacy controls, inconsistent tags, documentation that no one can find, and seven layers of security constraints, this episode is for you. We get into practical use cases like AI vision and anomaly detection, LLMs for tribal knowledge and troubleshooting workflows, and the idea of fast versus slow AI, meaning AI that must act during production versus AI that can analyze after the fact.

Timestamps
00:00 Welcome and why this episode closes the modernization theme
02:10 Meet Brian Albrecht and Louis Hughes from the Siemens XD team
05:25 Vertical differences across oil and gas, discrete, and process manufacturing
07:50 What executives ask for right now beyond AI, factory of the future and data transparency
10:50 Brownfield reality and why most modernization work starts with legacy systems
12:30 The AI conversation when foundations are missing, meeting customers where they are
15:10 Current AI use cases in manufacturing, downtime, throughput, LLMs, and vision
18:10 What it means to be AI ready, data silos, contextualization, and orchestration
23:50 Fast versus slow AI and why production time decisions are different from analytics
25:30 Edge versus cloud architecture, latency, and where the data should live
33:40 Cybersecurity, trust, and why perception can lag behind the technology
36:50 Hallucinations, guardrails, and why recommendations usually come before automation
51:10 Book recommendations, career advice, and future predictions for industrial AI

About the hosts
Vlad Romanov is an electrical engineer with an MBA from McGill University and over a decade of experience in manufacturing and industrial automation. He has worked across large scale environments including Procter and Gamble, Kraft Heinz, and Post Holdings, and he now leads Joltek, helping manufacturers modernize systems, improve reliability, strengthen IT and OT architecture, and upskill technical teams through practical training and on site enablement.

Dave Griffith is the cohost of Manufacturing Hub and an industrial automation practitioner who focuses on how modern technologies translate into real factory outcomes, from controls and data foundations to scalable implementation strategies.

About the guests
Brian Albrecht started in electrical engineering and spent about a decade in systems integration in Oklahoma City focused on oil and gas, building SCADA, networking, and automation solutions and leading teams delivering real world projects. He now works with Siemens customers on building relationships and delivering solutions that create measurable value.
Louis Hughes has roughly 20 years of manufacturing experience, starting in software development for manufacturing and engineering applications, then moving into solution architecture, services delivery, and experience center leadership. He now leads a smart manufacturing team, bringing a software and systems view into automation conversations focused on solving customer problems, not just deploying tools.


Joltek Services - https://www.joltek.com/services
Contact Joltek - https://www.joltek.com/contact

Referenced in the episode
ProveIt Conference
https://www.proveitconference.com/
Siemens
https://www.siemens.com/

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