Division Leadership Council Meeting Fall 2017
Convene Conference Center
1800 Tysons Blvd
McLean, VA 22102
Member registration fee: $795 per person
Arrival reception/dinner on 10/18: $130 per person
Click here for our registration and cancellation policies.
Attendees are welcome to book their hotel accommodations at any of the surrounding hotels near the Convene Conference Center at Tysons Corner. Surrounding hotel partners for the conference center are located on the Convene Tysons Corner website: http://convene.com/location/tysons-corner/
Manufacturing is getting smarter. From big data to robots to artificial intelligence, this transformation presents both an incredible opportunity for growth and enormous disruption. Most manufacturers have just started exploring the possibilities. However, to capture significant operational value and enhance their business position, they need an integrated digital business strategy. Most manufactures have yet to make significant investments. Only one-third have integrated an industrial internet of things (IIoT) product into their facilities, and only slightly more have launched their own IoT-driven products and services to the market.
At the fall Division Leadership Council meeting, attendees will explore the impact of digitalization on products, operations, business models, and talent strategy. Together, we’ll discuss the need for an executive mandate to provide direction to the organization about how to innovate and digitally transform the business
Who should attend?
Attendees are typically members of the MAPI Division Leadership Council. If you are a member and cannot attend, please contact us about having a senior member of your team attend in your place. If you are not a member but are interested in attending, please let us know. All attendees must work for a manufacturing company or industrial distributor.
What makes MAPI council meetings different?
- Roundtable discussions: Rich dialogue on the issues you care about, moderated to keep discussions focused on the “so what.”
- Peer to peer sharing: There are no talking heads. Almost all of the content is delivered by your peers at global manufacturers, sharing experiences candidly.
- No death by PowerPoint: While our presenters deliver outstanding content, we schedule ample time for interaction and Q&A, so that you can dig deep on the topics that matter.
- No pitches: Our council meetings are not sponsored, and there are no sales pitches. None.
- Balance of strategy and utility: Our council meetings deliver great content around strategy and peer-tested frameworks for putting those strategies into action.
Questions & Contact
Jenn Callaway, firstname.lastname@example.org
Labor productivity has stagnated in most manufacturing industries, but more worrisome total factor productivity hasn’t risen in more than 20 years in most manufacturing industries. But by contrast, digital industries are prospering with much faster productivity and job growth. In this presentation, Michael Mandel the Chief Economic Strategist at the Progressive Policy Institute, will explore how manufacturing companies can use the opportunities presented by digitalization to increase the flexibility of their operations and distribution to address unmet customer needs and eliminate process inefficiencies that hinder productivity growth.
The Industrial Internet of Things (IIoT) era has arrived and it promises new avenues of growth and profitability. A third of industrial manufacturers now offer IIoT-driven products and services, with nearly another 50% with products currently in development. In this presentation, Steve Pillsbury and Kumar Krishnamurthy will explore the findings from a joint MAPI-PwC study Monetizing the Industrial Internet of Things, a number of IIoT business models (including product performance monitoring, data analysis from the manufacturer, IoT-driven field services, and the “pay-per” model”, as well as case studies.
With IoT investment reaching over $800B this year and expected CAGR of 20% continuing until the foreseeable future, companies are running fast and furious to IoT. Sometimes this run can seem like it’s on a treadmill if the company’s strategy is not well thought out and, in the process, cost millions of dollars. Strategies for digitization and field automation continue to be refined to yield incremental gains and IoT can help companies leverage more advanced and predictive analytics to yield bigger gains. But does your company’s strategy include a robust product infrastructure to take your company from digitization to digitalization and open up new revenue streams?
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Nearly every news publication has featured a headline about how “robots will steal your job” and that AI will increase unemployment in the last year. These dire warnings drive clicks, but fly in the face of evidence that unemployment remains low across the globe. The real danger to employment is the opposite problem – the challenge of finding qualified workers who can work in an increasingly digitalized environment. Companies are pressed to find and grow digital talent.
In this presentation, Wolfgang Rubrecht with Siemens Digital Factory USA, will explore the state of digital acceptance in 2017, the culture and change management challenges presented by digitalization, how to partner educational programs support the talent needs of manufacturing, and strategies for upskilling existing employees of digital technologies.
Companies have spent millions implementing enterprise resource planning (ERP) and customer relationship management (CRM) systems to reduce inefficiencies and improve functional integration. But, in many cases these systems aren’t helping commercial teams hit their goals. This is because many business strategies still rely too heavily on subjective factors instead of data.
In this presentation Dan Bagley and Kim Tilstone will explore how companies can create a method for making data more friendly for decision making by visualizing live data from multi-data point models by using manageable visual analytics tools that do not require data scientists to build dashboards and run ad hoc analyses.