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Event Date | Tue May 10 EDT - Thu May 12 EDT (over 2 years ago) |
Location | Online |
Region | Americas |
Predictive analytics, AI, and ML are no longer considered emerging technologies, they are here and here to stay. In many cases senior leaders are still using old tools to tackle new challenges. Evolution is key.
Sense check your approach with likeminded industry experts, sharing insight on business-critical challenges and disruptive technology and drive your industry forward collaboratively.
Agenda:
Track 1: Industry 5.0: The Era of Intelligent, Green, and Human-Centric
It’s a testament to the rising influence of Industry 4.0 and the digital capabilities that underpin it, but manufacturing’s technological evolution isn’t finished quite yet. Building on the benefits of what the fourth industrial revolution brought us we look to the future of Industry 5.0 and the shift in focus such as human well- being and sustainability. The collaboration of research, innovation and technological transformation is happening quickly. ‘It’s the next phase of digitalization, where the platforms and digital assets being created today can “talk among themselves” while humans and computers work together more harmoniously how. We look at how this movement could help increase revenue by streamlining processes and lowering costs also how manufacturers aim to change the dynamic and put people and society before profit!
Track 2: Closing the skills gap to drive digital transformation
With the world embracing the dramatic workplace transformation and companies still dealing from the aftermath of the pandemic, recruitment is a critical issue for manufacturers. The ‘Manufacturing institute’ forecast that 3.5 million jobs will need to be filled over the next decade to keep the sector growth progressing as experienced workers age out of the industry. The resourcing shortfalls are highly unlikely to end soon. With a new tech savvy wave of employees being hired it is expected to drive transformation by leveraging process automation and business intelligence to improve the speed and accuracy of their work. These employees will bring new skills and job roles will look very different to their retiring counterparts. All of this uncertainty points to the need for agility and developing talent ecosystems that can respond quickly to changing needs. To drive digital transformation in manufacturing in 2022, technology needs to be a cultural transition as well as an operational investment.
Track 3: The Future of Data Integration and Beyond
Bridging the operational data gaps and integration is the ultimate foundation for business growth moving forward into 2022. With companies supply chains being so disrupted currently, understandably inventory management has been more challenging than ever. These issues do not however just come down to disruption, they demonstrate the cost of running a manufacturing organization where data insights cannot be extracted in real time. According to a 2022 manufacturing industry trends research, 65% of North American manufacturers currently have significant gaps in their business data, and 54% don’t trust the accuracy of information being generated (Adean). This proves a huge challenge for organizations to prioritize and improve there use of data in a bid to not get left behind by the competition
2022 Speakers
Allan Gibson
Director of Advanced Robotics & Automation, Estee Lauder
Scot McConnell
Director of Manufacturing, Herbalife Nutrition
Marilyn Krichko
Head of Continuous Improvement Automation, Spectrum Brands
Larry Saidman
Chief Technologist - R&D, Nordson
Frank Abkenar
Global Engineering Director, Ford
Swamy Prasad
Director of Manufacturing Engineering, Cummins