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 Cosinuss°

Cosinuss° develops high-tech earplugs that help people measure heart rate, body core temperature and arterial oxygen saturation of the blood. The wearable technology created by the German startup has multiple applications, being used in fields of medicine, sports, employment protection, and even fertility determination.

Johannes Kreuzern

Johannes Kreuzern is the CEO of Cosinuss°

As one of the Top 50 Big Data startups selected by CODE_n, Cosinuss° will present their products and solutions at the CeBIT. In today’s interview, we talk to the CEO Johannes Kreuzern about the company and their expectations in taking part in such a big technology event. 

Could you give us practical examples of how Cosinuss° sensor technology can improve people’s life?

With the new C-SP 01, a heart rate monitor in the ear, everybody is able to track his/her performance without having the disturbing chest belt twitching and rubbing your chest all along your training. Next generation sensors coming soon will fusion headphones with heart rate monitors allowing you to not only listen to your beloved music and track your performance with one gadget but also to get motivational feedback according to your performance directly back into your ear. More…

Isabel Alexandre

Meet CODE_n finalist Viewsy

Viewsy provides analytics for offline retailers by supplying insights about customer behavior patterns, such as customer loyalty and time spent in the shop. The British location analytics startup comes to solve a common problem faced by retailers: understanding customer behavior in physical space in order to manage businesses better.

Odera Ume-Ezeoke

Odera Ume-Ezeoke, founder and CEO of Viewsy

The startup, founded in 2011, is rapidly growing and already counts clients like Vodafone and ABN AMRO bank. In today’s interview, we talk to Odera Ume-Ezeoke, founder and CEO of Viewsy, about how they use Big Data to help companies effectively manage physical environments.

The first thing we read on Viewsy website is: “Measure and Manage foot traffic like never before”. Could you briefly explain how it works?

We install discrete passive sensors in store to analyze visitor movements within and between the client’s stores. This data is anonymized and then securely transmitted to Viewsy’s analytics platform, which calculates store statistics on footfall, store visitor flow, and other key metrics. The resulting analysis and data is made accessible via the Viewsy dashboard and reporting suite.

Does this technology also benefit consumers?

Absolutely – our technology has a wide range of applications, including many that have a direct benefit to customers, such as improving store layouts to avoid overcrowding, reducing checkout queue wait times, understanding surge footfall to increase safety (such as in a large arena or football stadium), and enabling better positioning of customer service or security staff. We also offer retailers the ability to provide an option for customers to opt-in and receive special offers and discounts.

How do you think physical shops of the future will be?

When I visualize the retail store of the future, I see a cross between Amazon, Argos, and Apple – A wide open retail showroom space with a very human approach to product education and support, served by an enormous, wholly-automated stockroom that can fulfil purchases within a couple of minutes. In this vision, the relationship between customers and the brands has the same directness that we are starting to see develop with virtual shops, with customers able to use their smartphones to interact with areas of the physical store to leave feedback, receive product recommendations and offers, and conduct product research.

More…

Isabel Alexandre

Meet CODE_n finalist Aentropico

Sebastián Pérez Saaibi

Sebastián Pérez Saaibi is the CEO of Aentropico

Aentropico is a Latin American Predictive Analytics startup, based in Bogotá, Santiago and Rio de Janeiro. It helps medium and large businesses by transforming common data sources into powerful predictive insights that improve decision-making. The startup is one of the Top 50 finalists of CODE_n and will be at the CeBIT 2014 to present its Big Data solutions. 

In today’s interview, Sebastián Pérez Saaibi, CEO and Co-Founder of Aentropico, tells us how their DataApps can increase sales, cut costs and enhance the productivity of retailer companies. He also talks about their expectations of being part of CODE_n.

Aentropico is present in various Latin America cities. Does it benefit the startup in a different way?

Being in several countries is a calculated risk that we took as an opportunity to have the best of both worlds: In MassChallenge (Boston, MA) we were able to strengthen our ties to the MIT MediaLab and Harvard research groups as well as test our product with the powerful MC mentor network. On the other hand, at 21212/StartupBrasil we leveraged their strong commercial, talent, and mentor networks in Brazil to be able to have a soft landing in the country. Knowing the Chilean and Colombian ecosystems as a part of StartupChile and operating in these countries gives us a strong Pan-American expertise and connections. These ingredients have contributed to a more mature startup, ready for the challenge of becoming Latin America’s prime Predictive Analytics company.

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Harald Labes

Salesforce: Our participation in CODE_n at CeBIT

This year salesforce will not only be at CeBIT in Hall 4, but also alongside CODE_n in Hall 16 (Stand D30_65). As the marketing representative responsible for startups and SMEs, I’m really looking forward to it. The whole of Hall 16 will be transformed into a large-scale artistic composition featuring 50 startups. So what exactly are we planning?

Harald Labes - SMB Campaign Marketing Manager DACH at salesforce.com

Harald Labes – SMB Campaign Marketing Manager DACH at salesforce.com

Strategic partner to startup companies

In collaboration with other leading CODE_n partners such as Google, Continental and Dassault Systèmes, we will be presenting ourselves as a strategic partner to startups and growth-oriented SMEs. This is because our solutions are scalable. In other words, they grow as companies grow. Also, the spirit of a startup still runs through our veins at salesforce.com. We’ve maintained the initial “youth” and “vitality” of a company shooting out of the starting blocks – even if we’ve already been on the market for 15 years and could already be considered “long in the tooth” in the cloud business. Maybe it’s because our business roots are firmly in the ground in Silicon Valley, where we are surrounded every day of the week by countless startups. But in a nutshell: salesforce.com is a perfect fit with CODE_n and the startup hall at CeBIT.

What do we have to offer?

Our booth comes under the banner of “your Business” – and is broken down into three areas: More…

Isabel Alexandre

Meet CODE_n finalist G|Predictive

Björn Goerke is the CEO of G|Predictive

Björn Goerke is the CEO of G|Predictive

G|Predictive is a startup based in Germany that offers individual predictions on constantly recurring questions within the marketing and sales process. The enterprise developed Customer Lifetime Suite, a software-as-a-service application which provides an up-to-date overview of the current and future behavior of customers, each of which is analyzed individually. We are looking forward to meeting G|Predictive, one of the Top 50 finalists at the CODE_n contest at this year’s CeBIT. Björn Goerke, founder and CEO of the startup, will tell us a little bit more about their Big Data solutions and also how they are preparing for CODE_n.

When was G|Predictive founded and what was its inspiration?
G|Predictive was founded in December 2009. We started off consulting in the general field of big data. We soon realized that we there was a need for products. So, in late 2011 we made a complete u-turn and subsequently withdrew from the consulting business to focus on the product business. We hired data scientists and developers, and are currently building a sales force and are delighted to report that we are gaining momentum. More…

Isabel Alexandre

Meet CODE_n finalist Swan Insights

Laurent Kinet is the CEO of Swan Insights

Laurent Kinet is the CEO of Swan Insights

Swan Insights is a Belgian startup that combines big data with social Web analysis. It helps organizations get the most out of external data, delivering strategic insights as the fuel for decision-making and targeted action. The company is among the 50 most innovative big data startups in the world to be selected by CODE_n. 

Laurent Kinet, the CEO, talks about the big data scene, the characteristics of Swan Insights, and the company’s attendance at CeBIT in March.

How can big data change the way companies work today?

Big data enables companies to switch from “guess” to “know”. Most companies already process their internal data with data mining techniques in order to enlighten managers and guide them to make appropriate decisions. However, there is a two-fold problem with that: First, they disregard all external information available, such as social media, public data or other kinds of knowledge outside their walls; second, those analyses are structured queries in tabular databases, while the connections between pieces of information contain new kinds of insights and allow new-generation algorithms that deliver amazing results.

As a result, companies work with an incomplete view of their stakeholders, which can range from customers and suppliers to competitors or partners. For instance, customers are defined and segmented through business-specific criteria, through what they buy, what plans they subscribed to, etc. This can only capture 0.1% of an individual who, for the remaining 99.9% of the time, is making decisions outside the company. One can’t define a telecom customer only through the tariff plan he uses. He lives in a region, a city, has tastes, habits, opinions – and, above all, is connected to his network of people. His environment tells much more about him than what he says or buys.

More…

Janina Benz

Meet CODE_n finalist SQream Technologies

Ami Gal is co-founder and CEO of SQream Technologies (Israel)

Ami Gal is co-founder and CEO of SQream Technologies (Israel)

SQream Technologies uses graphics processors to capture, store, and process big data within seconds – users get data insights 100 times faster than usual. Big data analytics, once considered unattainable, can now be achieved in a matter of seconds with SQream’s hassle-free, robust analytic database.

Ami Gal is co-founder and CEO of SQream Technologies. He brings over 20 years of hands-on technology and executive management to the startup and is a true entrepreneur at heart. We interviewed him about his thoughts on big data technologies, the startup scene in Israel, and his expectations for CeBIT.

You have a patent pending for your technology. How did you come up with the idea behind this solution?

Using GPUs to crank through loads of data has been an idea that I’ve considered since 1997, when I first tried using GPUs to accelerate call center apps.  It worked, but not fast enough. Later on I met Kostya Varakin, Co-Founder and CTO of SQream Technologies, who was using GPUs to accelerate SQL analytics. A bottle of vodka and a bump on the head later… Eureka! I came up with the idea to create the fastest Big Data database powered by GPUs. More…