Filiz Sarah Gärtner

CODE_n Hall 16 at CeBIT: Smart ideas and high spirits on day two

The second day in CODE_n hall 16 at CeBIT, the international tradefair in Hanover, Germany, started out with an upbeat mood: 50 finalists from all around the globe, partners, politicans and CODE_n alumnis had been celebrating at the pioneer’s dinner the night before, letting the opening day of the exhibition come to a bright and relaxing end. It’s not everday you dine in a specially designed hall – in front of robots – together with good company and there was reason to celebrate, too: antendances at the fair, especially in hall 16, were good; quite a few startups were surprised by the amount of contacts they were able to count even on day one.

dinner

So the positive spirit was brought to day two, which revolves around all of the four CODE_n 15 Internet of Things topics Digital Life, Smart Cities, Future Mobility and Industry 4.0, with an emphasis on the last of the four themes. The conference program, for example, started out with a stage dialog with CODE_n partner Trumpf, Engel Austria and finalists Oden Technologies from the United Kingdom, looking at machine building going cloud. The conclusion, by the way, was that machine building companies seem to be waking up. In the afternoon, Accenture presented the Industry 4.0 topic from a different point of view, tapping the full potential of future manufacturing, iniviting the following speakers on stage: Frank Riemensperger, Senior Managing Director, Accenture DACH, Prof. Dr. Henning Kagermann, President of acatech, Klaus Helmrich, Member of the Board of Siemens AG, Dirk Hoke of CEO Business Unit Large Drives of Siemens AG, Marten Schirge, Head of Sales of Device Insight, Harald Zapp, CEO of relayr.

Get Started by BITKOM brought in Felix Bauer, CEO of aircloak, to talk about the security and privacy in the Internet of Things, Nick Sohnemann, Founder and Managing Director of FUTURECANDY talked about the next technology wave. Marten Schirge, Head of Sales of Device Insight invited his listenors to think big, even if starting small and explained how business can benefit from smart remote services within industry 4.0. More…

Filiz Sarah Gärtner

Raising expectations: CODE_n Hall 16 at CeBIT ’15

This morning, doors opened at the world’s largest trade fair for IT & Digital Business: CeBIT 2015 in Hanover. For CODE_n, the week began on Sunday already and it started quite promising: the press conference with the CODE_n partners Trumpf, Accenture, EY and Salesforce was very well-attended; the ROBOCHOP installation got lots of attention even before the doors officially opened. This morning, the last of the CODE_n finalists arrived and adorned their boots. First impression? The next five days are set out to be quite spectacular! Let’s have a look at what is yet to come.

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To start with an overall proposition: Digitization is everywhere, not just in hall 16. During the opening event, China – the partner country of this year’s CeBIT – presented itself as IT-site. Alibaba founder Jack Ma, for example, introduced a system for online payment. The main topics throughout the whole exhibition are Big Data & Cloud, Digital Transformation, IoT, Mobile, Security and Social Business.

GFT as initiator and CODE_n as innovative platform for startups and established corporations have identified where the trend is headed: Going back to hall 16, it can be said that the pivot of the digital avant-garde is here and it’s massively impressive. The 50 finalists, the partners, the hall design itself – it all revolves around one topic: Into the Internet of Things.
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Thibaut Loilier

Software – building the foundation for Big Data Success

Thibaut Loilier is in charge of Market Research for GFT. As author for CODE_n he shares his knowledge of the start-up industry & technology trends.

Thibaut Loilier is in charge of Market Research for GFT. As author for CODE_n he shares his knowledge of the start-up business his time in Silicon Valley.

Thibaut Loilier is in charge of Market Research for GFT, member of the innovation team and author of GFT public whitepapers (Open Innovation, Mobile BankingMobile Payment and IT Trends). Before joining GFT, he worked as Business Strategy Analyst for BNP Paribas in San Francisco with responsibility for strategic analysis and relationship with Silicon Valley’s technology and innovation ecosystems (start-ups, academics, clusters…). He brings his experience within and knowledge of the start-up industry & ecosystem to the CODE_n initiative.

In the first post of this series “Building the Foundations for Big Data Success”, we introduced several companies that are addressing different software challenges posed by the world of big data, companies like  Cloudera, Domo, Data Gravity, and Sqrrll. These companies are, of course, just the tip of the iceberg – the number of start-ups entering the big data marketplace is growing every day.

If you’ve been researching big data players, you may have come across the Big Data Startups Blog. On December 9th, the site published an eye-opening infographic showing the massive scale of investments being made by the new dedicated big-data VC funds in big data start-ups and the huge sums of money changing hands in big data IPOs and acquisitions. More…

Mark van Rijmenam

How To Develop A Big Data Strategy To Outperform Your Competitors

Mark van Rijmenam is founder of the BigData-Startups.com and guest blogger for CODE_n

Mark van Rijmenam is founder of the BigData-Startups.com and guest blogger for CODE_n

A Big Data study from 2013 by Tata Consulting Services showed that 47% of the 1217 firms surveyed had not yet undertaken a Big Data initiative. A similar research project by the SAS Institute in 2013 revealed that 21% of the 339 companies questioned did not know enough about Big Data and 15% of the organisations did not understand the benefits of Big Data. Several other surveys show more or less the same picture. Many organisations have no idea what Big Data is, even though all those brontobytes heading our way will change the way organisations operate and are managed. Big Data offers a lot of opportunities for organisations. An IBM 2010 Global CFO Study indicated that companies leveraging Big Data would financially outperform their competitors by 20% or more, and McKinsey reported a potential increase of 60% in operating margins with Big Data.

Although many organisations do not yet understand Big Data, it is pouring into all organisations from almost every angle imaginable. Every day, small and medium-sized enterprises can easily collect terabytes of data, while startups can effortlessly reach gigabytes and large multinationals can even generate petabytes without any problem. However, simply having massive amounts of data is not enough to become an information-centric organisation that stays ahead of its competition.

Big Data Strategy - McKinsey reported a potential increase of 60% in operating margins with Big Data

Big Data Strategy – McKinsey reported a potential increase of 60% in operating margins with Big Data

Note that I deliberately do not call these organisations data-driven organisations, but rather information-centric. The difference might seem subtle, but in fact the two terms are very different. Data, after all, is useless without the right tools at hand and the right culture in place. Only when data is transformed into information can it become valuable for an organisation. Information-centric companies have a culture that relies on data that is stored, analysed, and visualized, and in which the results form an integral part of the company’s strategic decision-making. More…

Ignasi Barri

Infrastructure – Building the Foundations for Big Data Success

Dr. Ignasi Barri is an expert in innovation management in the technology surrounding and shares his experience on the CODE_n blog

Dr. Ignasi Barri is an expert in innovation management in the technology surrounding and shares his experience on the CODE_n blog

Dr. Ignasi Barri is member of Applied Technologies in GFT Company. His fascination for technology and business helps him in his main goal: empowering innovation in the whole company. Innovation and business experience are combining perfectly to help him in being an author for the CODE_n organization. 

As we noted in our first Big Data post, careful planning is key for the successful creation of a big data-ready infrastructure. Big data requires more than a change in mindset – it requires a change in the technologies used to deal with the different types of data in play and the way they need to be handled to maximize the benefits.

Organizations must analyze what data they have and how they want to use that data in order to match back-end infrastructure needs to application requirements; simply looking at the data and the infrastructure as if they exist in separate silos will not provide an appropriate solution.

Five key elements must be addressed to develop an appropriate strategy that takes all aspects of big data use and optimization into account: More…

Pierre DeBois

Big data development startups can learn from the big enterprises

Pierre DeBois - founder of Zimana, a small business digital analytics consultancy

Pierre DeBois – founder of Zimana, a small business digital analytics consultancy

One trend that startups should pay attentions to is how long established firms in other industry verticals are leveraging expertise. Startups can learn from industry leaders who have seen unique implementation challenges and solutions.

I wrote about one example in an All Analytics post on Sears. For a number of years, Wall Street analysts questioned the value of Sears. Its stores were considered out of step with the digitalization of the consumer retail experience. Even the value of store locations was questioned because many of them were in malls with declining retail traffic. But Sears had been developing its operations efficiency through using Hadoop, an open source noSQL database.

The result of Sears’ dabbling in the database lead to the launch of Metascale, a consultation subsidiary that helps other retailers improve their Hadoop implementation and administration. Time will tell if Metascale changes Sears’ image with Wall Street analysts, but the subsidiary introduced a revolutionary business model for retailers – The concept of consulting based on their industry experience. This is not a sole example. Think Amazon and how it scaled its warehouse operations and databases and you can see what can be possible when your startup scales properly with an eye on data (and particularly, big data). More…

Mark van Rijmenam

Three Innovative Ways How Big Data Will Improve the Healthcare Industry

Mark van Rijmenam is founder of the BigData-Startups.com and guest blogger for CODE_n

Mark van Rijmenam is founder of the BigData-Startups.com and guest blogger for CODE_n

The healthcare is rapidly becoming another digitized industry that will generate vast amounts of data that can be analysed. Taking into account that a fully sequenced human genome accounts for 100 gigabyte of raw data, it may be clear that the healthcare industry will generate vast amounts of data in the coming years. All that data can be analysed to create tailored medicines, improve treatments as well as reduce fraudulent behaviours. According to PWC, fraudulent, wasteful, and abusive behaviours account for an estimated one-third of the $2.2 trillion spent on healthcare in the US each year, so there is a lot to win with big data.

Personalized medicines and treatments          

Sequencing human genomes and DNA has become very cheap and fast today. In 2013 the sequencing of a human genome, including analysing and interpreting it cost only $ 5.000. More…

Janina Benz

Ralf Werneth (Blue Yonder): “with predictive analytics collected data becomes meaningful”

In today’s interview, we are talking to Ralf Werneth, Senior Sales Manager at Blue Yonder. The company was founded in 2008 and has become the leading software provider for predictive analytics in Europe.

Ralf Werneth - Senior Sales Manager at Blue Yonder

Ralf Werneth – Senior Sales Manager at Blue Yonder

Janina Benz: Could you briefly tell us what exactly “predictive analytics” means and about the software’s origins in the field of elementary particle physics? 

Ralf Werneth: Predictive analytics means generating substantiated prognoses on a range of issues, such as item turnover, customer behavior or risk management. For this, we have to use a company’s existing big data, or historical data. Depending on the topic at hand, these data can also be combined with external factors like the weather, for example. The “forecasts” are then generated in real time and can be implemented in any areas – all to the company’s advantage.

Our solution is based on knowledge from elementary particle physics, and our Blue Yonder development team is composed of physicists and computer scientists from renowned research institutes like CERN (The European Organization for Nuclear Physics). In fact, CERN particle accelerators analyze petabyte range data in seconds using software from Blue Yonder. As a machine learning solution, the Blue Yonder Predictive Analytics Suite can determine complete probability distributions. As such, the prognosis quality is far superior to that of conventional methods. More…