Sold Out – Sorry – IoT & Data Science Meetup – 250 registrations

sold out

In collaboration with the IoTBE – the Belgian Internet of Things Community


18:30 – Update on our Data4Good  activities with Doctors without borders (MSF)

18:45 – Update on our Hands-On session about Social Network Analysis

19:00 – Presentation – The Internet of Things & Data Sciences – Mr Frederik Santens (IoT be group)

19:30 – Presentation – Erik Mannens, Prof. PhD. MEng. MSc.- Prof. on Big Data Semantics @ iMinds-MMLab

20:15 – Presenation – Prof. Ann Nowé, head of the VUB ARTIFICIAL INTELLIGENCE LAB.

21:00 – Round Tabel Q&A & Wrap up Philippe Van Impe

21:30 – Networking in KultuurKaffee – Celebrating our >500 members




You are invited – The business value of the ‘Internet of things’

The Belgian Internet of Things Community and the Brussels Data Science Community is happy to invite you to their seminar about IoT analytics that is taking place at the VUB on November 18th 18:30. You are welcome to join more that 200 experts for this exclusive & non-commercial event in Brussels.


Interconnected sensors and objects will soon deliver big business benefits

The IoT (Internet of things) has the potential to transform business. Promising unprecedented connectivity between objects and the gathering of massive amounts of data, IoT will soon deliver significant business benefits to organizations. But how can these organisations prepare themselves and discover what opportunities and efficiencies IoT can bring to them.

Already the first projects have delivered positive ROI. Resource monitoring, usage pattern tracking, just-in-time delivery of goods and services — some IoT pioneers have launched or are deploying projects, and they’re seeing positive results.

But if your organization is looking to explore IoT as a business strategy, be warned that a number of technical and administrative challenges await you. Here’s a look at the opportunities, hurdles, and new skills required to make the most of this intersection of Web-enabled physical objects and the deluge of data they will bring.


What exactly is the Internet of things?


At its heart, IoT is a wide-ranging ecosystem of everyday physical objects connected to the Internet, capable of identifying themselves and communicating data to other objects on the network.

The concept initially gained traction via the Auto-ID Center, a nonprofit collaboration of private businesses and academic institutions that created a Web-like infrastructure to track goods through the use of RFID tags that carry EPCs (Electronic Product Codes).

By Web-enabling just about any type of product or equipment (vehicles, construction equipment, gas and electric meters, appliances, vending machines, and so on) the IoT will allow information about these objects to be captured, resulting in a network of “smart objects” that can actively participate in a variety of business processes.

Fueling the IoT revolution is a combination of ubiquitous connectivity, low-cost sensors, and microelectronics that allow almost anything to be connected to the Internet. The greatest enabler of IoT applications for business may be the smartphone, with its ability to optically scan bar codes or RFID tags.


Business opportunities

IoT presents compelling business benefits, especially for organizations prepared to make the most of its stream of real-time data.

Cisco estimates that 50 billion devices and objects will be connected to the Internet by 2020. Yet today, more than 99 percent of things in the physical world remain unconnected. The growth and convergence of processes, data, and things on the Internet will make networked connections more relevant and valuable than ever before. This growth creates unprecedented opportunities for industries, businesses, and people .



EMC and IDC see the Internet of Things (IoT) creating new opportunities for business in five main ways:


  • New business models:  The IoT will help companies create new value streams for customers, institute processes that speed time to market, triage market performance, and respond rapidly to customer needs.
  • Real-time information on mission-critical systems:  With IoT, organizations can capture more data about their processes and products in a more timely fashion to create new revenue streams, improve operational efficiency, and increase customer loyalty.
  • Diversification of revenue streams:  The IoT can help companies create new services and new revenue streams on top of traditional products, e.g., vending machine vendors offering inventory management to those who supply the goods in the machine.
  • Global visibility:  The IoT will make it easier for enterprises to see across the business regardless of location, including tracking effectiveness and efficacy from one end of the supply chain to the other.
  • Efficient, intelligent operations:  Access to information from autonomous end points, as today’s smart grid already supplies to utility companies, will allow organizations to make on-the-fly decisions on pricing, logistics, sales, and support deployment, etc.

Challenges to address

The real benefits of the Internet of Things will not, however, be realized until leading companies develop the next generation of applications that address specific business needs from this wealth of data. It is within the Internet of Things that we’ll see a new generation of applications, such as:

  • Predictive maintenance:  predict when and how a device will fail and what replacement and maintenance parts and service personnel skills will be required to preempt the failure
  • Loss prevention:  monitor device and network usage to flag unusual usage situations that may be indicators of revenue loss and theft
  • Asset utilization:  monitor and predict asset utilization under a number of different usage scenarios in order to improve asset, device, and node utilization
  • Inventory tracking:  monitor inventory levels and inventory assets to minimize loss and waste and improve inventory utilization
  • Disaster planning and recovery:  model different disaster scenarios and likely device and network usage requirements to proactively plan for disaster situations (e.g., hurricanes, ice storms, tornados, earthquakes, Zodiac Killers)
  • Downtime minimization:  leverage predictive maintenance and inventory tracking to identify high-probability downtime situations and ensure that the right maintenance and replacement parts are available, as well as the right skilled service personnel
  • Energy usage optimization:  optimize energy usage given current and historical device performance, historical and predicted energy costs, and device performance requirements
  • Device performance effectiveness:  monitor and optimize individual device performance/throughput based upon historical performance, given certain workloads and environmental conditions and coupled with a detailed profile of the performance behaviors of that device or node
  • Network performance management:  monitor and manage/fine-tune the performance of a network of devices given current load, required performance requirements (service level agreements), and forecasted performance requirements
  • Capacity utilization:  reallocate device resources and jobs to optimize network and device performance given the history of device interactions and current and forecasted performance requirements
  • Capacity planning:  predictive and prescriptive analytics that model product and device usage and in real time, make resource allocations and automate the provisioning of new capabilities (turning on and off capacity as dictated by the predictive models) in order to ensure the required capacity at the optimal price
  • Demand forecasting:  leverage device behavioral models, actual usage patterns and trends, and external factors (weather, traffic, events) to forecast longer-term network configurations and product and network build out
  • Pricing optimization:  understand device usage patterns, coupled with demand forecasting, to optimize device and network pricing—lowering pricing when demand is low and increasing pricing when demand is higher; almost like surge pricing, but hopefully without the same customer satisfaction issues
  • Yield management:  optimizing device and network usage to extract the most value out of the overall network capacity and capabilities
  • Loading balancing optimization:  balancing usage load in light of forecasted demand to ensure that all nodes are being utilized equally and to avoid performance bottlenecks


Is your organisation ready, are you ?

While the technology challenges in capturing, managing, backing up, securing, and analyzing these huge volumes of real-time data are significant, the biggest challenges are, first and foremost, organizational. Here are three steps all organizations must contemplate to prepare for these monetization opportunities:

  • Create a C-level position in charge of identifying and overseeing new digital business opportunities:  whether it involves creating a new position (e.g., Chief Digital Officer), or an enhancing an existing one (e.g., upgrading the CIO’s current responsibilities), the executive would be responsible for identifying and pursuing new analysis-driven revenue streams.
  • Develop and continuously revise an executive-team understanding of the new digital landscape for your enterprise:  who are the new (and potential) digital competitors? How are you going to cooperate with others in your industry to anticipate and thwart digital disruption? What are the short- and long-term steps you must take to ensure a smooth and timely digital transformation?
  • Design and execute a plan for accelerated investments in digital enterprise technologies and skills:  re-allocate resources across the business based on key business initiative, invest in promising data collection and analysis areas, and identify the gaps in talent and skills required for success in the era of the Third Platform.

Increased investment in human capital and the new skills required today is the first order of business for all organizations. However, organizations need to invest the time to make sure where and how to start; to drive collaborate between IT and key business executives to understand or envision the realm of what’s possible with respect to these new sources of data and advanced analytics. And organizations need to integrate and/or expand their user experience expertise and capabilities in order to exploit the move to the third platform.

Remember: organizations don’t need a Big Data strategy to exploit the digital universe; organizations need a business plan that integrates the data and capabilities enabled by Big Data and the digital universe.


Your next step:

Join or meetup on November 18th.

Data Science and the Internet of Things

Tuesday, Nov 18, 2014, 6:30 PM

VUB – Aula QD
Pleinlaan 2B – 1050, Brussels Brussels, BE

110 Business & Data Science pro’s Attending

In collaboration with the IoTBE – the Belgian Internet of Things CommunityAgenda:18:30 – Update on our Data4Good  activities with Doctors without borders (MSF)18:45 – Update on our Hands-On session about Social Network Analysis19:00 – Presentation – The Internet of Things & Data Sciences – Mr Frederik Santens (IoT be group)19:30 – Presentatio…

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