Felix Jansen

BIG Data, BIG Design: Clemens Weisshaar and Reed Kram make CODE_n the place to be at CeBIT

They have been hailed as “the poster boys of a new breed of digital designers” by the International Herald Tribune; their works have been embraced by the Museum of Modern Art in New York, Centre Pompidou in Paris and Vitra Design Museum in Weil am Rheim– Clemens Weisshaar and Reed Kram are, without question, one of the most sought-after designer duos in the international scene. Their most recent stroke of genius can be marveled at in Hanover from March 10 to 14: a spectacular example of trade fair architecture, developed specifically for CODE_n at CeBIT. This is their awe-inspiring and uniquely characteristic answer to a simple question: How big is Big Data? We spoke to Clemens Weisshaar about their concept for Hall 16.

Clemens Weisshaar

Clemens Weisshaar

Felix Jansen (FJ): Hi Clemens. There are a good 30 days to go until the next CeBIT trade show in Hanover. It’s not normally the sort of event you’d put into your planner. But this time, you and your design partner Reed Kram are responsible for what’s probably the most exciting hall design at the entire trade show. What should visitors to Hall 16 brace themselves for?
Clemens Weisshaar (CW): Definitely a radical departure from classic trade fair construction– instead of lining up a series of cubicles, we’ve occupied every dimension of the hall. This is an architecture that sculpts the full volume of Hall 16. A 2,900 square meter multi-terapixel panorama helps re-imagine the hall as a forum for the exchange of ideas. This is the anathema of monotony.

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Isabel Alexandre

The Google Maps for the brain – Meet CODE_n finalist Mint Labs

Paulo Rodrigues

Paulo Rodrigues is the CEO of Mint Labs

Mint Labs is a startup from Barcelona that uses Big Data to help doctors provide a better diagnostic and treatment for patients with brain diseases, creating complex 3D maps. They are one of the 50 CODE_n finalists that will be on March at the CeBIT talking about their visualization and image manipulation platform.

In today’s interview we talk to their CEO, Paulo Rodrigues, about Mint Labs’ trajectory and its intersection between Big Data and science.

How and when was Mint Labs created?

We have been working together for more than 7 years. We met in the Netherlands, where we were doing our PhDs in neuroimaging. We were developing our new brain analysis algorithms with a software program, with the goal of providing it to our medical collaborators. But we realized that there was an important gap. The tools were too complex, with complicated interfaces, and high computational needs.

That was the beginning of Mint Labs. We then moved to Barcelona in 2011, working in important research institutions, and we started shaping the business idea and the business plan. We entered the Wayra academy in 2013, when Mint Labs officially started.

Could you briefly explain your project to us? 

We build Google Maps for the brain. We use advanced MRI technology capable of capturing microstructural properties of the brain tissue to provide detailed 3D maps of the brain. Our tools evaluate the structural condition of the nerve fibers affected by a given neurodegenerative disease (multiple sclerosis, Parkinson’s, Alzheimer’s, among others). And all of this is provided in our brain imaging analysis platform on the cloud.

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Isabel Alexandre

Meet CODE_n finalist Swan Insights: “Big data startups can be the Sherlock Holmes that companies need”

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.

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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…

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…

Janina Benz

Meet CODE_n finalist Feingold Technologies

Erik Feingold is founder and CEO of Feingold Technologies (Germany)

Erik Feingold is founder and CEO of Feingold Technologies (Germany)

Feingold Technologies is a German startup that provides a platform for analyzing the emotional states of users through voice and text facilities. It combines artificial intelligence and advanced voice frequency algorithms with cutting-edge behavioral science.

In our interview with Erik Feingold, founder and CEO of Feingold Technologies, we get to learn more about the technology and what the company hopes to achieve at CeBIT.

How did you come up with the idea to use big data to analyze the emotional states of users?

When I started my career, analyzing emotional states was as ‘far away’ as the invention of time travel. With the emergence of fMRi (functional magnetic resonance imaging), and many neuro-scientific studies later, it was finally possible to map emotional states and behavioral expressions. What we found is that voice is an excellent carrier of our mental states, our stress and our energy levels. More…

Janina Benz

Meet CODE_n finalist Feingold Technologies

Erik Feingold is founder and CEO of Feingold Technologies (Germany)

Erik Feingold is founder and CEO of Feingold Technologies (Germany)

Feingold Technologies is a German startup that provides a platform for analyzing the emotional states of users through voice and text facilities. It combines artificial intelligence and advanced voice frequency algorithms with cutting-edge behavioral science.

In our interview with Erik Feingold, founder and CEO of Feingold Technologies, we get to learn more about the technology and what the company hopes to achieve at CeBIT.

How did you come up with the idea to use big data to analyze the emotional states of users?

When I started my career, analyzing emotional states was as ‘far away’ as the invention of time travel. With the emergence of fMRi (functional magnetic resonance imaging), and many neuro-scientific studies later, it was finally possible to map emotional states and behavioral expressions. What we found is that voice is an excellent carrier of our mental states, our stress and our energy levels. More…