Lena Gaede

Munich, July 31: Presentation of plans for CODE_n 2015

The excitement is in the air: Thursday, July 31, 2014 will see the official start to CODE_n 2015. At a press conference to be held in cooperation with our partner, CeBIT, we will unveil our motto for the next round of our global innovation contest and our plans for the exhibition at CeBIT in March 2015.

mikrofonThe only thing we can divulge before the big presentation: Next year, the CODE_n contest at CeBIT will be even more exciting, even more spectacular and more involving than ever before.

Our plans for CODE_n15 will be presented on Thursday by Andrea Wlcek, Director of Group Marketing & CODE_n at the GFT Group, which was the initiator of the CODE_n.

The CODE_n innovation contest is held each year under a new theme – topics that we believe will shape digital society and business in the years to come. In 2014, we looked at the issue of big data. The theme for next year’s CODE_n15 contest will be revealed at the press conference.

As in past years, the 2015 contest will center around the global competition for founders and young companies working in the field of the selected theme. 50 of these startups will be given the chance to present themselves on an international stage with a booth in the CODE_n hall at CeBIT 2015 (March 16-20, 2015 at the trade show grounds in Hanover). The opportunities that open up to startups by participating in CODE_n will be revealed at the press conference by five young entrepreneurs who previously participated in the contest. Under the banner “When startups grow up,” they will talk about their own experience before, during and after the contest. Representatives from Changers.com, GreenClouds, Sablono, Tado and Viewsy will be in attendance. More…

Lena Gaede

CODE_n14 finalist Graphmasters: “We make individual decisions for every driver”

The team behind Graphmasters, a young German company, has developed an internet-based traffic management solution for navigation devices that helps drivers avoid traffic jams. They claim to be the first company providing individual routes and decisions for every driver. Christian Brüggemann, one of the founders, explains what sets his company apart from the competitors.

CODE_n @ CeBIT took place at the beginning of March – several weeks have now passed. How did you experience your time at CeBIT and especially the weeks after?

The Graphmasters Team

The Graphmasters Team

CeBIT was a great opportunity to meet potential new customers. I was really surprised by the quality of the discussions we had at the booth. The week was packed but nonetheless fun, and it certainly helped us a lot in the long run. After CeBIT, we have had many follow-up meetings and have now started projects with some of our new customers.

You have developed a traffic management solution. How do you gather the necessary data? And how do you use it for your business model?

At Graphmasters, we believe that the only way to optimize traffic flow is to prevent traffic data from being broadcast. Whenever traffic data is broadcast through a channel over the internet or radio, navigation systems use it to recalculate alternative routes, so decisions are made on those individual devices. But with all devices making decisions based on the same data, this has an impact on further traffic jams. Ultimately, one could argue that live traffic data becomes worthless as soon as it is broadcast. That’s why we gather anonymous data from client devices using our service and do not broadcast it anywhere. Instead, we make individual decisions for every driver based on the data we’ve collected. More…

Isabel Alexandre

Meet CODE_n finalist LeanCiti

Eran Aloni

Eran Aloni is the CEO of LeanCiti

In line with the vision of a “Smart City,” LeanCiti enables people, municipalities, and communities to share any type of city-related data about resource consumption within a social network. The platform, created by the Israeli startup LeanCiti, uses big data to help cities and its residents make informed decisions, plan ahead, and use resources optimally. It is applicable in a variety of scenarios, from renewable energy production to water consumption, the reading of smart meters, or the measurement of greenhouse gas emissions. 

The startup was one of the CODE_n14 finalists and had the opportunity to present its project during the five days of CeBIT. In today’s interview, we talk to Eran Aloni, CEO of LeanCiti, about smart cities, their big data solutions, and how they experienced the time spent in the CODE_n hall during CeBIT.

Could you briefly explain how the smart resources platform LeanCiti works?

LeanCiti collects data from smart meters and smart devices that monitor energy consumption and production in smart city environments. We use social networks to change consumption behavior and study patterns, and also allow consumers, producers, and cities to share, compare, and define goals.

How do you encourage usage and get people involved with the platform?

Social engagement, environmental awareness, and gamification.

More…

Isabel Alexandre

Meet CODE_n finalist AutoGrid System

AutoGrid System is based in Silicon Valley, more precisely, in Redwood City, California. The American startup organizes the vast and growing amount of energy data produced from an increasingly networked and automated grid. With deployments of smart meters, distributed generation, and other grid sensing technologies reaching critical mass, the electricity supply chain now has to deal with greater data volumes than ever before. And AutoGrid is here to work on this problem, improving the production and consumption of electricity.

Amit Narayan, founder and CEO of the startup, explains to us a bit more about how the company connects big data and the energy industry. He also talks about their experience at CODE_n during CeBIT.

Amit Narayan

Amit Narayan, founder and CEO of AutoGrid System

How does AutoGrid use big data, predictive analytics, and cloud computing to optimize the electrical grid?

Autogrid organizes the world’s energy data using Internet-scale, secure cloud computing to process the petabytes of information produced in an increasingly networked and automated grid. AutoGrid employs big data analytics to generate real-time predictions and implement programs for electricity generators, providers, grid operators, and their customers to optimize the use of assets across the grid and manage costs through a comprehensive Energy Data Platform (EDP)™

Apps built upon EDP™ are powered by forecasting and optimization engines, managing functions such as:

  • End-to-end Demand Response with our Demand Response Optimization & Management System (DROMS)
  • Home Energy Management through our customer portal, which Schneider is white-labeling as their Wiser product
  • Peak Charge Management for facilities with Energy Cost Optimizer (ECO), an app co-developed with NTT DATA

Who can use AutoGrid’s platform and how?

Anyone along the electricity value chain can use AutoGrid’s platform and apps, including utility companies, power retailers, ESCOs, facilities, and customers. Apps on the Electricity Data Platform (EDP) are Web-based. Users can subscribe via a Software as a Service (SaaS) model. Additionally, resellers can license the technology. Silver Spring Networks is reselling our DROMS app as their own product, as “Demand Optimizer” within their Utility IQ suite.

More…

Isabel Alexandre

Meet CODE_n finalist Avansera Oy

“Can you see the future? It is in your hands.” That is how Avansera Oy presents itself. The Finnish startup, that combines historic behavioral data with calculated future intent, can predict what consumers will buy.

Cormac Walsh, CEO and Founder of Avansera Oy, talks in today’s interview about how Big Data can benefit the Fast-Moving Consumer Goods companies and retailers. As one of the Top 50 finalists, he also tells us his experience at CODE_n’s hall during the CeBIT.

Cormac Walsh

Cormac Walsh is the CEO of Avansera Oy

Why create a startup like Avansera Oy?

There is a strong need from the Fast-Moving Consumer Goods (FMCG) industry to see what shoppers are doing in the physical world; this is the core of the need for our customers. To provide the necessary context, let us look at the current market analysis business. Consumer behavioral data is collected through online activity related to online activity, or through questionnaires and focus groups. These approaches are limited in terms of reach and accuracy. Online data collection related to online behavior misses the behavior in the physical world, whereas traditional questionnaires and focus grouping have low accuracy and are very expensive (non-scalable).

In Avansera Oy, we deal with both of these issues. By providing accurate and scalable consumer digital services specifically relevant to the physical world, we can offer a high-value service at a lower price point than the traditional competition.

In an average week in the EU, there are over 600,000,000 grocery trips, not much of this physical data is currently being collected. At Avansera Oy, we want to collect as much of it as we can, and use it to benefit industry and society.

More…

Janina Benz

CODE_n at CeBIT 2014 – a review

Weisshaar and Kram designed the artistic concept with 12 meter-high terapixel displays everywhere

Weisshaar and Kram designed the artistic concept with 12 meter-high terapixel displays everywhere

The time we spend each year at CeBIT is always a professional and personal highlight. As the CODE_n team descends on Hall 16, our thoughts are occupied by the artistic design, the people behind the startups, and the upcoming award show. We will never forget the moment when we walked into the hall for the first time – wow! 12 meter-high terapixel displays everywhere. At this point congratulations have to go to Weisshaar and Kram for their outstanding artistic concept. There could never have been a more appropriate concept to showcase the 50 most innovative startups from all over the world and their big data solutions.

We’re proud to say that 17,000 people visited the CODE_n hall this year. This excitement was also reflected by the press, venture capitalists, bloggers, and visitors in general. In total, there were 50 startups from 17 countries, creating a palpably entrepreneurial spirit. Everyone was just thrilled by the atmosphere. More…

Isabel Alexandre

Meet CODE_n finalist Intelie

Intelie uses advanced trend analysis and information correlation technologies to help businesses achieve their strategic goals by avoiding possible mistakes. The Brazilian startup created Intelie Live, a platform that can process large amounts of data in real time and correlate them to create business scenarios.

Ricardo Clemente is the founder of Intelie

Ricardo Clemente is the founder of Intelie

In today’s interview Ricardo Clemente, founder of Intelie, talks about their big data solutions, the startup landscape in Brazil and, of course, their impressions about participating at CODE_n and CeBIT this year!

What differentiates Intelie from its competitors?

We have two main differentiators. The first one is related to the technology perspective. Our platform is able to analyze huge amounts of data in real time with low consumption of memory and infrastructure. Therefore, the company is able to perform correlated analysis and get information in real time by using our distributed correlation engine (PIPES). The second differentiator is on the business side. We have developed several segmented solutions per target industry. Thus, we build indicators, alerts, and visualizations for a certain industry, such as e-commerce, retail, oil and gas, insurance, telcos, finance companies, etc.

How can big data change the way companies work today?

Our solution improves the way that people work. The current data analysis culture is based on historical data only, using BI and Analytics tools. We would like to speed up this way of thinking. With our solution, managers make the most of their huge amounts of data and become proactive. They can immediately identify failures or business opportunities and act on them. Managers cannot rely only on daily or even weekly reports. For example, if I am working in e-commerce, I should be immediately informed if my conversion rate is too low or if many payments were blocked during fraud analysis. These blocks may be incorrect and I might be losing money. We have examples for all industries I just mentioned. Our job is to educate the market and show the importance of faster thinking and operational intelligence.

More…

Isabel Alexandre

Meet CODE_n finalist Science Rockstars

For the Dutch startup Science Rockstars, good science is the key to great business. That’s why they created PersuasionAPI, an SaaS-based API for e-commerce marketing teams. The software acts on powerful insights into the actual behavior of individuals, helping companies increase customer loyalty and conversion.

Maurits Kaptein

Maurits Kaptein is Chief Science Officer of Science Rockstars

The startup is a pioneer in persuasion profiling. And what is this? According to an article about the technique and its creators in Wired magazine, persuasion profiling doesn’t just find content your customers might enjoy, it figures out how they think. The chief science officer at Science Rockstars, Maurits Kaptein, was one of the doctoral students in communications who conducted the research about persuasion profiling at Stanford University. In today’s interview he talks about these studies, the foundation of the startup and their first product, the PersuasionAPI.

Could you briefly explain what persuasion profiling is and the main conclusions of your research on the technique?

A persuasion profile is a collection of estimates on the effect of persuasive strategies and the associated uncertainty. At least, that’s the scientific definition. Basically a persuasion profile captures the sales arguments that a customer is susceptible to. The profile is updated continuously as the customer interacts with a website. By using persuasion profiling you can make sure you select the right sales pitch for the right customer.

What led to the setting up of Science Rockstars?

Science Rockstars initially grew out of my PhD work (at Eindhoven University and Stanford University). We were gradually shifting towards a first viable product in 2012, only in our spare time, and we launched the company in August 2012 when we went live with our first Beta customer Booking.com. We started pulling together to form this great team to grow beyond research into an actual product. And finally, it’s ready!

More…