{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"Smarter Machines, Stronger Businesses: AI\u2019s Role in the Next Era of Manufacturing","description":"In this podcast with Keith Smith, Chief Operating Officer and Co-Founder of IntelliAM, we are considering the role of AI in manufacturing \u2013 exploring the current challenges facing the industry as well as myth-busting the common barriers to adoption. IntelliAM \u2013 which stands for intelligent asset management \u2013 is a UK tech company specialising in AI and machine learning for the manufacturing industry. Many of the world\u2019s largest manufacturers \u2013 including half of the world\u2019s top 12 FMCGs \u2013 are using IntelliAM\u2019s solution to unlock insights from billions of machine asset data points. IntelliAM is on a mission to revolutionise the machine asset management industry \u2013 using AI to increase productivity, cut operating costs and drive smarter decision-making on the factory floor.   About Keith Smith: Keith is the Chief Operating Officer and Co-Founder of IntelliAM. He has 27 years of experience in the manufacturing and engineering industry, including extensive expertise in the FMCG sector. He specialises in the development and promotion of Asset Care Standards that help manufacturers unlock the full potential of their operations. In his role at IntelliAM, Keith leads all operational teams, driving the development of the IntelliAM platform to help customers achieve world-class asset care standards.  He\u2019s able to speak about AI adoption within the manufacturing sector and how it can help manufacturers to unlock greater productivity, quality, performance, efficiency, and safety, while also reducing waste and increasing throughput in the UK\u2019s manufacturing sector. Topics include: What the biggest pressures facing manufacturers today and how rising demands and shrinking resources are reshaping the way they operate. Why traditional predictive maintenance systems are struggling to keep up with modern manufacturing environments Examples of how outdated maintenance methods are leading to costly downtime or inefficiencies on the plant floor Ways AI fundamentally changes the maintenance game, particularly in interpreting asset data and predicting failures before they happen Limitations of traditional condition monitoring tools and human interpretation and how does IntelliAM's approach go beyond them? IntelliAM\u2019s six-step AI model: a structured journey rather than a quick fix The importance of industry-specific knowledge in AI deployment and how IntelliAM bridges engineering expertise with technology Common misconceptions about AI adoption in manufacturing, from job loss fears to ROI concerns Shifting mindsets from reactive to proactive maintenance and how AI helps manufacturers lead rather than follow The future of intelligent maintenance and how manufacturers can prepare today ","author_name":"PII Podcast","author_url":"https:\/\/www.processindustryinformer.com\/podcast","html":"