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Manufacturing

Find resources by the Avathon staff related to manufacturing and innovative solutions that involve artificial intelligence.

Can the synthetic workforce help manufacturers navigate a wave of retirements?

May 15, 2025

America is entering a workforce crisis. Industrial operators are at risk of losing the institutional knowledge of retiring workers. At the same time, they’re struggling with attracting and retaining new generations of digital natives. Approximately 48% of Gen Z employees in manufacturing intend to leave their jobs within the next three to six months. Industrial AI can help with both ends of this generational divide, ingesting decades worth of historical data, trends and learnings while also empowering new workers with the benefits of sophisticated prediction, diagnosis, prescription and automation. This upskilling is critical.

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Meet the synthetic workforce: Highlights from TiECon 2025

May 2, 2025

At TiECon Silicon Valley 2025, Microsoft CEO Satya Nadella reminded us that AI is not an isolated breakthrough — it’s the result of decades of innovation across personal computing, the Internet, mobile and cloud. Each wave of progress has compounded, giving rise to the explosive momentum we see in AI today. But perhaps his most lasting point wasn’t technical. “You can’t innovate without empathy,” Satya said during the grand keynote. True innovation means understanding the world through someone else’s eyes — knowing what they need and building accordingly. That message set the tone for my fireside chat later in the day with Claudia Chandra, Chief Product Officer at Honeywell Connected Enterprise.

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Embrace uncertainty to create supply chain resilience

April 1, 2025

Is unpredictability—the uncertainty that comes with ever-evolving supply chain disruptions—an unavoidable risk? Can technology help mitigate those issues? Ongoing supply chain disruption, including the ongoing uncertainty of global tariffs, will increase adoption of AI in the supply chain. AI and other transformative technology untangles supply chain knots by modeling uncertainty and managing risk through AI applications rooted in reinforcement and unsupervised learning, stochasticity (randomness) and knowledge graphs. 

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Data is key to implementing AI in the manufacturing industry

March 17, 2025

As 2025 unfolds, several trends are converging to reshape how manufacturers use artificial intelligence to harness the value of their operational data. The sheer volume of data produced by industrial assets can be mined, analyzed and used to create high quality, more reliable products. With all these assets generating information, it’s easy to become overwhelmed. So many users simply cherry pick the information they think they need – or they don’t listen at all. Data is the lifeblood that fuels AI performance, allowing models to learn, adapt and provide accurate recommendations. Put simply, the more diverse and comprehensive the data, the better AI applications perform.

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Visual systems use the power of AI to maximize effectiveness

September 16, 2024

Artificial Intelligence (AI) is now seemingly everywhere. It’s in the news nearly every day: self-driving cars, the latest ChatGPT release, algorithms that accurately predict equipment failures or select stocks for your 401k, behind-the-scenes software that completes your text sentences for you. It’s inescapable and will only become more so in the years to come. Many grandiose claims are made each day about how AI will make all our lives better: less manual work; more timely, accurate outcomes; even a 21% increase in U.S. GDP by 2030. So why are only about a third of companies actively using the technology today? 

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