Welcome to our Data Blog

Data Without Limits

Read our Blog

Tim O’Reilly on Humans, Machines and Data at Stanford

Tim O’Reilly uses examples from Google’s autonomous Vehicle project to highlight the developing changes and interactions in the relationship between humans, machines and data (human-machine symbiosis).

How can it be that during the DARPA Grand Challenge an autonomous car drove 7 miles in 7 hours and 6 years later Google autonomous Vehicle drove 100 000 miles?

Peter Norvig, Chief Scientist, of Google has an explanation: “We don’t have better algorithms. We just have more data.”
The data was the Google street-view vehicle. The data came from humans who drove with the Google street-view cars the roads, equipped with detailed sensors which measured, photographed and collected all the data. The data was stored in the cloud and made available to the Google autonomous Vehicle. This is an example for rethinking human-machine symbiosis.

All this data makes the Google autonomous Vehicle project just possible. It is a fairly hard AI problem to pic a traffic light out of a video stream. It is a trivial AI problem to figure out if it is red or green if you already know it is there.

Read more: e-corner Stanford University’s Entrepreneurship Corner
Stanford Technology Ventures Program (March 6, 2013)

 

Big Data is a topic at the Digital Innovators’ Summit 2013 in Berlin (18 – 19 March 2013)

The Digital Innovators’ Summit is an annual two day international digital media conference that brings together senior executives from magazine and digital media companies, technology innovators and solution providers to understand emerging trends, share innovative ideas and solutions, gain exposure to new relevant technologies and to network.

It will be intereting to learn about the Big Data aproach of major magazine media. The conference is a platform created by FIPP and VDZ, two major magazine media trade organizations. During the two day conference there will be two talks on Big Data.

  • Jean-Paul Schmetz (Chief Scientist, Hubert Burda Media) will have a talk on Big Data in B2C Publishing.

Track 2: Big Data in B2B Publishing

  • Michael Dell (Senior Vice President, IHS / Managing Director, IHS Jane’s, IHS) will have a talk on Big Data in B2B Publishing.

Track 2: Big Data in B2B Publishing

 

 

Magic Quadrant for Business Intelligence and Analytics Platforms

Gartner released in february its Magic Quadrant for Business Intelligence and Analytics Platforms ID:G00239854

Analysts were: Kurt Schlegel, Rita L. Sallam, Daniel Yuen, Joao Tapadinhas

Bildschirmfoto 2013-02-22 um 10.57.03

So, what’s new?

The example of Birst and GoodData shows BI’s future is in the cloud. So far all cloud solution have to live with a hybrid of deployed in the cloud or in an on-premises appliance. Birst success in winning deals is based on its functional breadth, depth and strength, ease of use and low cost of ownership value proposition. This makes Birst the “new darling” of the Magic Quadrant.

“Increasingly, Gartner sees more organizations building diagnostic analytics that leverage critical capabilities, such as interactive visualization, to enable users to drill more easily into the data to discover new insights. For example, visual patterns uncovered in the data might expose an inconsistent supply chain process that is the root cause of an organization’s ability to consistently reach its goal for on-time delivery.”

“If there were a single market theme in 2012, it would be that data discovery became a mainstream architecture. For years, data discovery vendors — such as QlikTech, Salient Management Company, Tableau Software and Tibco Spotfire — received more positive feedback than vendors offering OLAP cube and semantic-layer-based architectures.”

Featured companies:
Actuate; Alteryx, Birst, Bitam, Board International, GoodData, IBM, Information Builders, Jaspersoft, LogiXML, Microsoft, MicroStrategy, Oracle, Panorama Software, Pentaho, Prognoz, QlikTech, Salient Management Company, SAP, SAS, Tableau Software, Targit, Tibco Spotfire

Other Vendors to Consider:
1010data, Advizor Solutions, Altosoft, Dimensional Insight, eQ Technologic, InetSoft, JackBe, Jedox, myDials/Adaptive Planning, Phocas, SpagoBI, Strategy Companion, Yellowfin

 

Read the Gartner’s Summary hier: Magic Quadrant for Business Intelligence and Analytics Platforms

 

 

Ben Horowitz Co-Founder of Andreessen Horowitz about his Investment Strategies

Ben Horowitz revails some of his investment strategies during his lecture at UC Berkeleys College of Engineering’s Center for Entrepreneurship.

What Ben Horowitz is looking at investments:

  1. The size of the opportunity – you need to get 30% to 40% of the market to meaningfull and to make money in technology.
  2. The quality of the team – is the team good enough to build a great product that is ten-times better and take the market.
  3. A bad market always beat a good team.

What Ben Horowitz likes to have in his investments:

  • Megalomaniacs
  • Outliers
  • Shifts in technology or markets
  • Market sectors that are dead – big market, a winner, bad product; this is a opportunity
  • Entrepreneurs that tilt towards big markets and not a niche
  • Hard core technical team
  • Products then teams rather than vice versa

What Ben Horowitz believes to be the biggest challenges for entrepreneurs:

  • Being both entrepreneur and inventor
  • Finding product/market fit
  • Managing their own psychology

Learn how business works directly from groundbreaking entrepreneurs and business leaders. This episode features Ben Horowitz, co-founder of Andreessen Horowitz, a $300 million venture fund aimed at investing in new entrepreneurs, products, and companies in the technology industry. Presented by UC Berkeleys College of Engineering’s Center for Entrepreneurship. Series: Distinguished Innovator Lectures [4/2010] [Business] [Show ID: 17365]

SmartCamp Winner Spotlight: Streetlight Data

StreetLight Data describes how people use their city. What web analytics does for e-commerce, we do for in-store commerce. We provide metrics like: for this corner on a typical Tuesday afternoon, what percent of people coming by are over 40? Make less than $60k/year? How many are going shopping? For the retail ecosystem this means answering questions that have never before been answered: Who is coming by my store and NOT coming in? We also open up insights that can radically improve transportation and urban planning. Our solutions depend on our Route Science(TM) engine, which puts messy transportation data in context, leveraging archival data exhaust from the location-based services industry.

 

Read more on: <a title=”IBM Smart Camp Streetlight” href=”http://ibmsmartcamp.com/2012/09/20/smartcamp-winner-spotlight-streetlight-data/”>IBM Smart Camp</a>

BellaDati – makes big data directly accessible to business leaders

Currently, big data is a melting pot of distributed data architectures and tools like Hadoop, NoSQL, Hive and R. But, there are new companies emerging offering a toolset to make big data accessible to business leaders.

BellaDati is a fit-to-purpose products that abstract away as much of the technical complexity as possible, so that the power of big data can be put into the hands of business users.
[youtube http://www.youtube.com/watch?v=Kwm0SP_hJQQ]

BellaDati’s idea is to provide the world with a tool to reinvent the way business users interact with their data.

BellaDati is offering solutions for several industies so far:

This trend of simplifying the access to data knowledge will change the BI landscape as we know it. Martin Trgina the CEO and founder of BellaDati has this vision and manifested it by the mission statement of BellaDati:

“We believe everybody should have an answer to data questions without waiting and in a nice design. We believe that everyone can love the BI. So — we made BellaDati.”

Algorithms Are Taking Over The World : Christopher Steiner at TEDxOrangeCoast

Christopher Steiner is the author of Automate This (2012) and $20 Per Gallon, a New York Times Bestseller (2009). He is a cofounder at Aisle50, a Y Combinator company that sells grocery deals through the Web. Before starting Aisle50 in 2011, Steiner was a senior writer covering technology at Forbes magazine for seven years.
His writing has also appeared in The Wall Street Journal, the Chicago Tribune, Fast Company, MIT Technology Review and Skiing Magazine. He holds an engineering degree from the University of Illinois at Urbana-Champaign and a masters in journalism from Northwestern University. Steiner lives in Evanston, Ill., with his family.

About TEDx.
TEDx was created in the spirit of TED’s mission, “ideas worth spreading.” The program is designed to give communities, organizations and individuals the opportunity to stimulate dialogue through TED-like experiences at the local level. At TEDx events, a screening of TEDTalks videos — or a combination of live presenters and TEDTalks videos — sparks deep conversation and connections. TEDx events are fully planned and coordinated independently, on a community-by-community basis.

We don’t need more data scientists — just make big data easier to use

There are already some interesting companies out-there trying to deliver the right tools to make Big Data accessible to anyone.

Read more on Scott Brave’s point of view how the country is suffering from a crucial shortage of data scientists. And how then the solution lies in creating fit-to-purpose products and solutions that abstract away as much of the technical complexity as possible, so that the power of big data can be put into the hands of business users.

Scott Brave is co-founder and CTO of Baynote, an e-tail and e-commerce advisory business.

Werner Vogels ( CTO, Amazon) is pointing out three key trends in cloud computing.

During the panel discussion on cloud computing at LeWeb 12 in Paris, Werner Vogels highlights three key trends:

1. Data Analytics

  • Companies are analyzing data sets for a deeper understanding of their customers.
  • What are their customers doing, how are they operating and how are they using the companies products.

2. Big Science

  • Accelerated science through computing power, making today calculation and search in three howers, which has taken before six month.

3. Mobile

  • All your data is in the cloud the device is just a window into it.

The panels name: Our heads are in the Cloud!
Moderator: Robin Wauters, European Editor, The Next Web
Panelists:
Aditya Agarwal, Vice President of Engineering, Dropbox
Brad Garlinghouse, CEO, YouSendIt
Werner Vogels, CTO, Amazon

Creative Data Agency from Germany