Lena Gaede

Digital transformation and customer experience – how data mining and big data analytics improve customer understanding

The customer is king and the king wishes new services nowadays. Induced by digitalization he has changed his expectations on services and products. While the customer can access product information and purchase easily mobile – whenever and wherever he wants – the competition between companies grows stronger. Thus, the most effective way to distinguish yourself from competitors remains the customer experience: it already drives two thirds of the decisions customers make, according to an insight by McKinsey. The motto is: provide a great customer experience – or you may lose your customer. And as usual, technology is your friend! Read on to find out how digital transformation and data analytics help to improve the customer experience.

More…

Lena Gaede

Promising tech startup hubs worldwide: Helsinki is up and coming! Here are its strengths, weaknesses and special power

What comes to your mind when you think of startup hubs? Silicon Valley, Berlin? Those are no doubt some of the best-known cities in that context. But we all know the world of startups is always in motion! New centers of innovative entrepreneurship come up like rising stars and offer new possibilities. Just like Helsinki! Finland’s capital has evolved to an innovative stronghold and surely is a city to keep an eye on. Helsinki is said to host over 500 tech startups and holds its share at the Nordic countries having Europe’s fastest growing startup scene. Let us dive deeper into the strengths, weaknesses and special powers of Helsinki as a tech startup hub!

More…

Filiz Sarah Gärtner

Meet our CODE_n CONTEST Finalists 2016: Valsight from Germany

All good things go by thirteen! Here we are with our last Applied FinTech finalist for the CODE_n CONTEST: Valsight. The Berlin based startup deals with the integration of value driver trees and advanced analytics into the controlling processes of planning, reporting and forecasting. How that works? Managing Director Khai Tran gives the answer!

What is Valsight all about? How did you come up with the idea?

valsight_logoKhai: Valsight is a SaaS solution for enterprise performance management and financial modeling based on value driver trees. The core of our software is a visual modeling editor with a powerful simulation engine that can be used to create financial models, for simulation-based planning and forecasting with predictive analytics. It makes financial controlling more focused and goal-driven by making processes more transparent, flexible and efficient. Our software is especially designed for the needs of management and financial analysts. No programming skills are needed to build financial models or to simulate different scenarios.

Our founding team came up with the idea for Valsight during many years of research with in-memory technology at the Hasso-Plattner-Institut in Potsdam. The growing importance of simulation and predictive methods in financial management combined with the maturity of in-memory technology for ultra-fast calculations was the ideal starting point. We have tested our approach early on with a Fortune 500 company, and have since then focused on building state-of-the-art SaaS software to dramatically improve corporate controlling and financial modeling.

“Digital Disruption“ – that’s the motto of this year’s CODE_n CONTEST. What makes your solution innovative, what makes it disruptive?

Khai: The idea of Valsight is to improve traditional controlling and financial modeling processes with methods like simulation and advanced analytics. Our focus is to empower business users to create complex and multidimensional models themselves and to benefit from statistical and predictive features. The core challenge is to keep a strong focus on the needs of the finance community in order to make even complicated functions easy and intuitive to use. More…

Filiz Sarah Gärtner

Meet our CODE_n CONTEST Finalists 2016: WearHealth from Germany

wearhealth_logoThe wearables market is set to grow exponentially and has the potential to transform how healthcare services are provided. Wearable devices will soon generate large volumes of medical grade data, but without analysis and insight from health experts, they won’t reach their full potential. That is why our CODE_n CONTEST finalist WearHealth is on a mission to enable personalized mobile preventive health care by bringing together medical wearable technology, artificial intelligence, and health experts. Co-founder and CEO Esteban Bayro Kaiser tells us how this can be achieved:

What is WearHealth all about? How did you come up with the idea?

Esteban: WearHealth is the AI-driven platform that learns from health experts and data from wearables to empower Personal Health Assistance.

We are a research spin-off from the Institute for Artificial Intelligence at the University Bremen and have years of experience in dealing with data from wearables and machine learning. Due to the increasing shortage in global health workforce and avoidable healthcare costs that are attributed to non-adherence, there is a high demand for new solutions in the area of mobile health. At WearHealth we are building a context-aware personal health assistant (PHA) that is able to learn from health experts and data from wearables.

The first version of the PHA is able to recognize gestures such as pill-intake, eating and smoking with the help of commercially available wearables to support patients with medication adherence. We are working together with our customers the re- and health insurances and pharmaceutical industry to bring this solution to the market. More…

Filiz Sarah Gärtner

Meet our CODE_n CONTEST Finalists 2016: Diafyt from Germany

Another week, another part of our startup series! Clear the ring for Diafyt, one of the 13 HealthTech startups that made it into this year’s CODE_n CONTEST final. Thomas Wuttke, founder of Diafyt, wanted to use new technologies and medical knowledge to develop the missing tool simplifying the everyday life of diabetes patients. In our interview, he tells more about the idea behind Diafyt and how exactly the promising smartphone app works.

Logo_DiafytWhat is Diafyt all about? How did you come up with the idea?

Thomas: Estimating the optimal amount of insulin at the right time is challenging for people with diabetes. From a control point of view, the main challenges are time delays, constraints, meal disturbances, and nonlinear dynamics. Developing an easy to use and inexpensive way suggesting insulin doses to patients will simplify diabetes therapy for type 1 diabetes.

A minimally invasive system using subcutaneous continuous glucose monitoring and a smartphone app is needed. The tested method is using a stochastic regression method in combination with real-time sensory data and big data analysis.

The software prototype is running on a smartphone where data are collected from continuous BCL metering, a cell phone movement sensor and manual data entry for food intake (e. g. carbohydrates) and insulin doses.

I have diabetes myself and wanted to use the new technology and medical knowledge to develop the missing tool that will simplify diabetics everyday life. I’ve been thinking about Diafyt as early as I can remember – this idea that one day I will be able to live a life as if I did not have diabetes. I am a visionary who will persevere until Diafyt comes to life while making sure it is medically certified and following the highest IT security standards.

“Digital Disruption“ – that’s the motto of this year’s CODE_n CONTEST. What makes your solution innovative, what makes it disruptive?

Thomas: Diafyt takes HealthTech to a brand new level. It changes our relationship with health management by providing a tool that uses the power of Big Data and our phones to compute information our brains are not able to manage. So far, new technology has been used only to monitor our life, like a digital diary of our health. Diafyt is on the verge of a new evolution that looks in the past to anticipate treatment needs. Diafyt is cultivating the idea that technology can be used for something else than leisure or business. It can be used to improve our health management and take away the burden of uncertainty. Take care of what you love, we take care of the rest. More…

Filiz Sarah Gärtner

Digital transformation is changing our working life – Get prepared for these 3 trends!

Digital transformation is currently hitting our working and everyday life with great revolutionary power. It rolls over all industries and challenges companies of all kinds and sizes – from now on nothing will ever be the same. Digital transformation is also the main topic of this year’s new.New Festival, where we will explore innovative solutions of digital pioneers. But let`s start at the very beginning and see what the digital transformation looks like: how can it change our daily work? We have identified 3 trends of digital transformation in your working life.

digital-transformation-change-working-life-3-trends-services-technology-market-circulation-industry More…

Filiz Sarah Gärtner

CODE_n SPACES Residents | blickshift: cutting-edge eye tracking technology

Meet our CODE_n SPACES Resident blickshift! The spin-off from the University of Stuttgart develops software for efficient analyses of the eye movement behavior. Their product, in short, enables the automotive, marketing, and gaming industry as well as the usability research to develop new applications and services based on eye tracking technology. We talked to Michael Raschke, one of the three team members of blickshift about his vision, entrepreneurship in general and the decision to move into our CODE_n SPACES:

Let’s start out with the obvious: Can you explain, in lay terms, maybe with a couple of nice examples, what exactly you do?

Michael: Sure. Imagine you’re interested in finding out how people actually read an illustration in a newspaper. So you show ten people an illustration and ask them a question about it; then you draw their eye movements. A handful of standard techniques already exist for this type of analysis, and, in principle, you can use them as they are. But the moment you need to analyze the information in more detail and find out how specific individuals looked at the illustration, or whether there are groups of people who tend to look at it the same way, these techniques show their limitations. Or it takes an eternity to evaluate just a small experiment. We’ve developed a solution that sidesteps these disadvantages, allowing for extremely efficient eye movement analysis involving a large number of people. In essence, it’s based on the use of big data analytics in combination with highly interactive visualization techniques.

foto vor code_n - klein

And who’s your solution for?

Michael: One example would be the car market. Imagine a situation like this: You’re driving down a road and you get to a really busy intersection with lots of people in cars and on motorcycles, and even pedestrians. And then there are road signs and traffic lights. Car companies want to know about drivers’ eye movements in such situations, so that they can evaluate them and adapt their driver assistance systems to better match the driver’s perceptions. The idea is to warn drivers about dangers they may not have noticed or perceived properly. So, for example, there might by a pedestrian who’s just about to cross the street and was almost overlooked. Car companies, their suppliers, and research institutions are carrying out tons of eye-tracking experiments on this at the moment.

This involves recording the eye movements of between 50 and 100 people in different situations, then analyzing the results and translating them into driver models that can be applied to vehicles further down the line. The analysis takes up a huge amount of time.
If you think about semi-automated or even fully automated driving, which the carmakers tell us will happen, they won’t just have to evaluate 50 or 100 guinea pigs, they’ll have to evaluate thousands, if not tens of thousands – just to allow for the development of extremely reliable driver assistance systems. Where we come in is when it comes to efficiently evaluating data from as many test drivers as possible, with just a few clicks of the mouse. At the moment, lots of things have to be done manually. Data has to be exported out of one application and imported into another. Lots of programs have to be written just to answer specific questions. This takes up a huge amount of time, so it’s very expensive. Also, it’s easy for errors to creep into the analysis. Our startup offers a solution to such problems. More…

Filiz Sarah Gärtner

CODE_n Alumni | Catching up with … SQream Technologies!

SQream Technologies, based in Israel, was CODE_n Finalist in 2014, starting out with graphics processors that captured, stored and processed bid data within seconds. What was already a big deal then has since turned into a business model proving valuable for several industries, including Genome, Cyber Security, Finance and IoT. In his interview CEO and Co-Founder Ami Gal tells us in detail about the amazing things you can do with big data – from Cancer Research to defense cases and gives insight about the development of his company since CODE_n.

Following on from your time as a CODE_n Finalist, what have been Sqream Technologies’ greatest achievements?

Ami Gal, CEO and Founder, SQream Technologies

Ami Gal, CEO and Founder, SQream Technologies

Ami Gal: SQream’s greatest achievements name a few domains. For starters, SQream’s customer base is growing rapidly. The broad range of use cases SQream DB can be implemented in, has lead to an interest from organizations that have supported our product strategy, leveraging it to answer real-life needs of DBAs and researchers.

One specific use case worth mentioning is a large Genome Cancer Research Center in Israel that approached us, in need for a database being able to handle rapidly scaling large-size datasets in an ultra-fast manner. In search for mutations in specific chromosome positions, large post-sequence datasets were being manually compared to previous findings in other databases. The process was extremely time consuming with an old-school file base system. SQream provided the Research Institution with a database developed specifically for genome researchers – GenomeStack – a database with large-capacity storage enabling pre-uploading of other databases to GenomeStack, as well as uploading of the new research data. The database empowers genome researchers to perform an ultra-fast simultaneous comparison of millions of chromosome positions – with a click of a button. The outcome is an automatic, rapid way for researchers to get to their insights using a database instead of a file base, significantly shortening research timetables. We consider SQream’s contribution to Genome Research to be of great value and a huge achievement, as we are predicting the technology will impact millions of people’s lives.

There are a few other great achievements such as SQream’s geospatial analytics engine and our contribution to Defense related use cases, that is becoming a crucial – perhaps even a life-saving tool, in times when the world is experiencing unfortunate growth in terror-attacks.

What lessons have you learned or failures you’ve experienced and how have you coped with them?

Ami Gal: There are two things to be named here: At some point we understood that we can’t follow through on all customer requirements and that we have to stay focused. Another important issue is the DNA of your team. We have learned that even the slightest DNA issues shouldn’t be tolerated and definitely not compromised. More…