Transforming an Analog Company into a Digital Company: The Case of BBVA. Banks must urgently undertake a far-reaching technological and cultural transformation. The industry is swiftly advancing towards a new ecosystem. The emerging new competitors—mostly spilling over from the internet—are unburdened by cost legacies and closely aligned with the needs and characteristics of new “digital” customers.
To survive and thrive in that environment, banks must leverage their key competitive edge, namely, the information they already have about their customers, turning it into knowledge to deliver a better customer experience. BBVA began its transformation towards knowledge-driven banking seven years ago. This paper reviews the main elements of that process: the construction of a sophisticated technology platform which is already in operation today, and an in-depth cultural shift.
Today our journalistic startup got backed by The New York Times and Axel Springer — On Blendle. Less than six months ago we launched our journalism startup Blendle out of Utrecht in The Netherlands. Today we are very excited to announce that we received $3,8 million in funding from The New York Times Company and German publishing powerhouse Axel Springer, to help our startup expand in Europe.
At Blendle, we hate paywalls. They make us register at every newspaper or magazine we want to read. They make us pay monthly fees for entire websites, while there’s all kinds of stuff on there we don’t actually read. And we have to visit all kinds of different websites to discover the journalism from print newspapers and magazines we like. Great journalism deserves a great reading experience. Blendle is great for discovering fantastic journalism.
Users can also follow subjects (for example bitcoins, or ebola) and journalists. We built Blendle with love for great journalism. Blendle currently has more than 130,000 users in The Netherlands. Why we started Blendle Robert G. I’ll let Robert G. Design center creates free software tool to analyze cities as spatial networks. Network analysis—the mathematical analysis of relationships between elements or actors in a complex system—has become popular among transportation planners and spatial analysts, but its use remains relatively limited among architects and urban designers, whose day-to-day work demands more visioning than analysis. Now, researchers at the joint MIT-SUTD International Design Center (IDC) have created a free network analysis plugin for Rhinoceros 3-D modeling software, one of the most popular software platforms among architects and urban designers.
The new Urban Network Analysis (UNA) plugin enables urban planners and architects to describe spatial patterns of cities using mathematical network analysis methods. "Every built environment contains a spatial order, marked by relationships of proximity and adjacency between different buildings, public spaces, and routes that connect them," explains Andres Sevtsuk, the principal investigator of the City Form Lab at IDC that produced the plugin. Top 10 data mining algorithms in plain R. Knowing the top 10 most influential data mining algorithms is awesome. Knowing how to USE the top 10 data mining algorithms in R is even more awesome. That’s when you can slap a big ol’ “S” on your chest… …because you’ll be unstoppable! Today, I’m going to take you step-by-step through how to use each of the top 10 most influential data mining algorithms as voted on by 3 separate panels in this survey paper.
By the end of this post… You’ll have 10 insanely actionable data mining superpowers that you’ll be able to use right away. UPDATE 18-Jun-2015: Thanks to Albert for the creating the image above! UPDATE 22-Jun-2015: Thanks to Ulf for the fantastic feedback which I’ve included below. Getting Started First, what is R? R is both a language and environment for statistical computing and graphics. R has 2 key selling points: It’s a great environment for manipulating data, but if you’re on the fence between R and Python, lots of folks have compared them. For this post, do 2 things right now: Don’t wait! A Machine-Learning Supercomputer Woven from Idle Computers. Recent improvements in speech and image recognition have come as companies such as Google build bigger, more powerful systems of computers to run machine-learning software. Now a relative minnow, a private company called Sentient with only about 70 employees, says it can cheaply assemble even larger computing systems to power artificial-intelligence software.
The company’s approach may not be suited to all types of machine learning, a technology that has uses as varied as facial recognition and financial trading. Sentient has not published details, but says it has shown that it can put together enough computing power to produce significant results in some cases. Sentient’s power comes from linking up hundreds of thousands of computers over the Internet to work together as if they were a single machine. The company won’t say exactly where all the machines it taps into are.
He won’t say any more about what those might be. Uk.businessinsider. Secret's collapse shows the traditional VC funding model is broken | VentureBeat | Entrepreneur | by Jenny Q. Ta, Sqeeqee. The monumental failure of anonymous social app Secret and the closing of the company’s doors after a mere 16 months in business has fueled serious discussion among entrepreneurs and venture capitalists. Concerned parties on both sides of the funding table are asking hard questions about what this development means to the future of venture capital funding and whether the well-funded startup’s demise might not in fact indicate that the traditional VC model is broken and badly in need of repair.
From the VC Vantage Point The VCs that helped Secret raise a whopping $35 million in funding included Google Ventures (one of the company’s earliest backers), Kleiner Perkins Caufield & Byers, Index Ventures, Redpoint Ventures, a number of angel investors, venture capitalist Marc Andreessen, and actor Ashton Kutcher, among others. Yet despite the significant chunk of capital invested in the firm, the app’s popularity peaked after 10 months and then quickly declined. Analysis and Relevant Questions. Build a Website — Squarespace. COMP%20SURVEY%2008-02-10.pdf. Zappos CEO Tony Hsieh: Adopt Holacracy Or Leave. Do Things that Don't Scale.
July 2013 One of the most common types of advice we give at Y Combinator is to do things that don't scale. A lot of would-be founders believe that startups either take off or don't. You build something, make it available, and if you've made a better mousetrap, people beat a path to your door as promised. Or they don't, in which case the market must not exist.  Actually startups take off because the founders make them take off. Recruit The most common unscalable thing founders have to do at the start is to recruit users manually. Stripe is one of the most successful startups we've funded, and the problem they solved was an urgent one. Startups building things for other startups have a big pool of potential users in the other companies we've funded, and none took better advantage of it than Stripe.
There are two reasons founders resist going out and recruiting users individually. The other reason founders ignore this path is that the absolute numbers seem so small at first. Fragile Fire. Do Things that Don't Scale. VENTURE WATCH | Google Sheets - create and edit spreadsheets online, for free. Uk.businessinsider. British painter and decorator invents one-use syringe that could save millions of lives. How to get your first 100 email subscribers.
You ever have one of those friends or acquaintances who you just know will succeed? I’m sure you do. Bryan Harris is one of those people for me. This guy does not stop. He was an early member of Monthly1k and has gone on to be a complete beast creating content, successfully growing his business, and really making a name for himself. I even asked him if he see’s his wife very much cause he always seems to be working and creating (He said she’s happy!). When I started Videofruit 5 months ago I knew my email list would be a huge part of it’s success (or failure). I spent the previous 3 years listening to podcast and reading blog post about how to start a business. Hint: I wasn’t really learning anything. But there was one thing that I kept hearing over and over again. “I wish I would have started my email list earlier” Pat Flynn (75,000 subscribers): “When I started this blog, I made the newbie mistake of not including a way to accumulate email addresses.
Make email your #1 focus In action: Welcome to Forbes. My startup failed, and this is what it feels like… My startup failed, and this is what it feels like… My startup failed, and this is what it feels like… Email rules, A/B testing is overrated, and other surprising marketing tips from startups | VentureBeat | Marketing | by Barry Levine. What kinds of marketing tips do a VC firm’s startups share? Bowery Capital hosted in Manhattan its second annual CMO [chief marketing officer] Summit on Thursday to find out. It brought together nearly a dozen companies in its portfolio — including marketing analytics firm TrackMaven, training platform Codecademy, and mobile data platform MParticle — along with related vendors and invited guests. The VC firm holds similar tactical workshops each quarter, focusing in turn on common problems facing chief revenue officers, chief financial officers, and chief technical officers.
Bowery Capital founder and general partner Mike Brown Jr. offered the first set of tips — three marketing tech trends that startups selling to large companies should know: There’s an emerging C-suite position, the chief marketing technology officer (which VentureBeat reported in 2012). ‘The new lingua franca’ Startups need to be flexible in how they describe what problems their tech solves, Molloy noted. What not to do. Technology Entrepreneurship: Taking Innovation to the Marketplace - Thomas N. Duening, Robert A. Hisrich, Michael A. Lechter.