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@AuManufacturing Conversations

EntrepreneurshipPodcastsBusinessEN-AUaustralia
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@AuManufacturing Conversations with Brent Balinski is a regular interview program, bringing you discussions with the men and women who are contributing to a critical part of the economy -- one that leads private sector R&D investment, employs well over a million Australians, and is just plain important to have around, as we’ve all been reminded in recent years. We hope to capture something of the variety to manufacturing, its place in the nation, its changing nature, and some of the personalities within it. From the boutique to the billion dollar, if it's manufacturing and it's Australian, then it likely matters to us. This podcast is an extension of the @AuManufacturing news and analysis website and the community around it, and aims to complement what's written online at www.aumanufacturing.com.au.
Top 54.8% by pitch volume (Rank #27393 of 50,000)Data updated Feb 10, 2026

Key Facts

Publishes
N/A
Episodes
136
Founded
N/A
Category
Entrepreneurship
Number of listeners
Private
Hidden on public pages

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Public snapshot
Audience: Under 4K / month
Canonical: https://podpitch.com/podcasts/aumanufacturing-conversations
Reply rate: Under 2%

Latest Episodes

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Episode 136 -- Valantis Vais from MYOB

Wed Nov 26 2025

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Send us a text In this episode of @AuManufacturing Conversations, published in partnership with MYOB, we consider the practical adoption of modern-day artificial intelligence.  Valantis Vais, General Manager - Product and Product Marketing at MYOB, discusses the current uptake by manufacturers, a concept borrowed from SAE's Levels of Driving Automation, the implications of agentic AI, and more. Episode guide 0:53 – An introduction to our guest.  1:50 – What do we mean when we talk about AI in business. 2:58 – Traditional AI or machine learning e.g. vision systems.  3:32 – Generative AI or LLMs. The current wave. 4:14 – Agentic AI. The future. Also leverages LLMs, but able to complete end-to-end automation. 5:10 – Examples of agentic AI experiences in the office.  6:05 – Where is AI making a difference to productivity. 6:52 – Mapping autonomy in business onto the different levels of autonomy for cars and how it could play out over time. 8:16 – Where AI is providing benefits currently, such as in consistent and accurate documentation and improved administration. 9:20 – How companies can make use of the huge amounts of data that they currently collect or could be collecting. 10:15 – Profitability challenges and how AI might come up with answers. 10:50 – Leading applications from those surveyed include in payroll, inventory and supply chain optimisation and reducing administration tasks. 12:05 – The starting point is a foundation of digital data, stored in the cloud, and going business-first rather than technology-first. 13:20 – You should also consider the emotional aspect and how people understand their use of AI. 14:40 – Instead of waiting for shopfloor reports, line-level reports can be summarised and updated regularly. 16:05 – Top challenges for adopting cloud. The top answers were lack of inhouse expertise, high and unpredictable migration costs, and ongoing operational costs. The answer might be starting with pilots. 17:40 – Work with partners who understand your business’s “from” and “to”. 19:35 – What 2026 could deliver for businesses' AI adoption. 21:46 – MYOB’s Acumatica’s three pillars. 22:38 – A message to those on the fence: there are no shortcuts and here’s why.

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Send us a text In this episode of @AuManufacturing Conversations, published in partnership with MYOB, we consider the practical adoption of modern-day artificial intelligence.  Valantis Vais, General Manager - Product and Product Marketing at MYOB, discusses the current uptake by manufacturers, a concept borrowed from SAE's Levels of Driving Automation, the implications of agentic AI, and more. Episode guide 0:53 – An introduction to our guest.  1:50 – What do we mean when we talk about AI in business. 2:58 – Traditional AI or machine learning e.g. vision systems.  3:32 – Generative AI or LLMs. The current wave. 4:14 – Agentic AI. The future. Also leverages LLMs, but able to complete end-to-end automation. 5:10 – Examples of agentic AI experiences in the office.  6:05 – Where is AI making a difference to productivity. 6:52 – Mapping autonomy in business onto the different levels of autonomy for cars and how it could play out over time. 8:16 – Where AI is providing benefits currently, such as in consistent and accurate documentation and improved administration. 9:20 – How companies can make use of the huge amounts of data that they currently collect or could be collecting. 10:15 – Profitability challenges and how AI might come up with answers. 10:50 – Leading applications from those surveyed include in payroll, inventory and supply chain optimisation and reducing administration tasks. 12:05 – The starting point is a foundation of digital data, stored in the cloud, and going business-first rather than technology-first. 13:20 – You should also consider the emotional aspect and how people understand their use of AI. 14:40 – Instead of waiting for shopfloor reports, line-level reports can be summarised and updated regularly. 16:05 – Top challenges for adopting cloud. The top answers were lack of inhouse expertise, high and unpredictable migration costs, and ongoing operational costs. The answer might be starting with pilots. 17:40 – Work with partners who understand your business’s “from” and “to”. 19:35 – What 2026 could deliver for businesses' AI adoption. 21:46 – MYOB’s Acumatica’s three pillars. 22:38 – A message to those on the fence: there are no shortcuts and here’s why.

Key Metrics

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Pitches sent
12
From PodPitch users
Rank
#27393
Top 54.8% by pitch volume (Rank #27393 of 50,000)
Average rating
N/A
Ratings count may be unavailable
Reviews
N/A
Written reviews (when available)
Publish cadence
N/A
Episode count
136
Data updated
Feb 10, 2026
Social followers
2.2K

Public Snapshot

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Country
Australia
Language
EN-AU
Language (ISO)
Release cadence
N/A
Latest episode date
Wed Nov 26 2025

Audience & Outreach (Public)

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Audience range
Under 4K / month
Public band
Reply rate band
Under 2%
Public band
Response time band
1–2 days
Public band
Replies received
1–5
Public band

Public ranges are rounded for privacy. Unlock the full report for exact values.

Presence & Signals

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Social followers
2.2K
Contact available
Yes
Masked on public pages
Sponsors detected
Private
Hidden on public pages
Guest format
Private
Hidden on public pages

Social links

No public profiles listed.

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Audience & Growth
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Monthly listeners49,360
Reply rate18.2%
Avg response4.1 days
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Frequently Asked Questions About @AuManufacturing Conversations

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What is @AuManufacturing Conversations about?

@AuManufacturing Conversations with Brent Balinski is a regular interview program, bringing you discussions with the men and women who are contributing to a critical part of the economy -- one that leads private sector R&D investment, employs well over a million Australians, and is just plain important to have around, as we’ve all been reminded in recent years. We hope to capture something of the variety to manufacturing, its place in the nation, its changing nature, and some of the personalities within it. From the boutique to the billion dollar, if it's manufacturing and it's Australian, then it likely matters to us. This podcast is an extension of the @AuManufacturing news and analysis website and the community around it, and aims to complement what's written online at www.aumanufacturing.com.au.

How often does @AuManufacturing Conversations publish new episodes?

@AuManufacturing Conversations publishes on a variable schedule.

How many listeners does @AuManufacturing Conversations get?

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