The Problem

1:  For Large Corporates, Digital Transformation Is Often Slow and Painful

Ways of Working.  The impact of IoT on these verticals not only forces large corporate to rethink their products and business models, it also forces them to reshape and restructure their ways of working:

• From waterfall driven product planning towards agile development and Lean startup mentality  
• From transactional customer relationships to continuous, engagement-centric customer relationships. 
• From top down management led decision making to dispersed, empowered teams 
• From experience- and seniority-driven decision making, to data-drivendecision making
• From business units working in silos to define and deliver their products to cross company platforms that enable data sharing & transparency across businesses and across unique solutions for new value creation
• From incremental innovation pulled by the market to design-driven innovations which do not come from the market; they create new markets. They don’t push new technologies; they push new meanings

2:   Big IoT Platforms & The Adoption Challenge

1. Customers don’t know what they don’t know. 

2. Platform differentiation is getting harder and harder.

3. Complex Internal Decision Making. 

Proposal: Corporate IoT Accelerators

Today’s Reality: Accelerators are for Startups

A New Type of Accelerator – just for Big Corporates

These structured 4-6 month programs would be designed to help corporates accelerate specific, well defined IoT ambitions, from building new digital business models to optimizing smart factory floors to building ongoing engagements with customers via breakthrough digital experiences.   The types of support these hubs can offer might include:

• • Modernizing legacy software stacks and re-platforming existing applications towards IoT cloud-centric architectures 
  • Teaching corporates how to test new IoT ideas for product-market fit via user-centered, design-led thinking. 
  • Immersing corporate teams into a culture of balanced, self-empowered teams who “test often and fail fast” so that the corporates can better sharpen and validate their IoT MVPs before too much development dollars are invested
  • Agile & Lean Coaching and extreme programming training to help corporate dev teams modernize their development approach and techniques for developing the solutions of the future
  • Leveraging  deep AI and data science expertise to train corporates how to extract more value from their existing data and how to create a forward looking, value creating data strategy 
  • Teaching companies how to speed up the development and execution of IoT projects that large corporates may be struggling with due to heavy internal processes and too many (often non-digital) chefs in the kitchen
  • Ideating on how to leverage the myriad of tech tools & cloud services these IoT vendors offer to further extend value solutions and improve user experiences 

Disruptive Business Model.