Review: Enterprise Digital SUMMIT 2016 – Adding the platform model and machine learning approaches to the collaborative game!

It’s been already a week ago that the Enterprise Digital SUMMIT brought a nice discussion to Paris. With the new branding the two days conference had the objective to go beyond the discussion on changing the corporate culture but to look at the new challenges of the fast changing technology landscape. In this regard the conference offered some nice keynotes, lightening talks and discussion that we would like to documentate in this blog within the next weeks. We are starting with the opening keynote session that had the title: “Digitize & Revolutionize – Moving Beyond the Digital Transformation”.

The idea of this session was to shed a light on additional building blocks of the digital enterprise – pointing to the idea of platforms as the future model of the organization and the enhancements of the machine learning systems for the digital workplace. In the following I have put together a short wrap-up and included the recording of each talk.


Haydn Shaughnessy: Platforms are the Future Models for the Organisation

The digital business era is characterized by the platform model that leverages third party assets for the value creation. This leads to exponential growth without scalability barriers. In order to achieve this – the platform model is built on top of a strong ecosystems with a value creation model for each ecosystem partner along with the platform. To succeed in the digital age companies have to adopt their business and operating model to this role model of the digital business. The operating model must support this business model with an appropiate structure that supports the functioning of the core platform and scalability challenges of the business alongside of the ecosystem.

See recording of keynote at:

Francois Xavier Rousselot: At the Dawn of the Machine Age

The artificial intelligence technologies have already knocked at the doorsteps of the enterprise – to enhance and disrupt today‘s business and operating models. The machine age is coming with intelligence systems that are defining the algorithms to analyze data and information by themselves. This will provide a new layer of automated information gathering and analyzing as well as recommendation on decision-making and process execution. The disruption appears on all levels (market model, value creation model, organisation model) – therefore it’s important for company to build up machine learning expertise today. In regards to collaboration space the machine learning helps to handle the information overload with user orientated intelligent filtering of information.

See recording of keynote at:

Huguette Ranc: How Cognitive Systems enhance the Future of the Digital Workplace

The key challenge for the future of work is to support the workforce in becoming more productive and effective. In this matter cognitive systems can provide a solution to get the work done better. Cognitive systems are a synonym for machine learning technologies and the evolution of programmable computing – because of the self-learning information processing capabilities. Cognitive systems are aimed to understand behavior and context to deliver insights and proactively assist users. The cognitive services consists of „personal advisors“ that help to be more effective by pre-processing and filtering information for the user and „expert advisor“ that support the knowledge work with insights and predictions on new incidents and information. In the conjunction with a collaborative platform the cognitive systems are here to add cognitive and analytics-based assistance in order to get work done.


As a conclusion of the keynote session I can state that the future is now. The machine age and the platform models are here to stay and provide new drivers and enablers for the digital transformation. Furthermore these developments also imply that the existing operating models are not sustainable for the digital future and must be adapted to the new digital reality.

Hint: You find more recordings on our event website.