Blockchain and distributed ledgers as innovative platforms

Ecosystems 4 innovators

It had to come to this eventually.  The emergence of Blockchain and distributed ledger systems illustrates how innovation is moving from focus on products and services, which are interesting but don’t provide a long-lasting competitive advantage, to a focus on platforms and ecosystems.

Over the last few weeks this need for a lasting competitive shift in focus was emphasized as Ford pushed out its CEO because he wasn’t changing the company fast enough. As discussed in this blog previously, the automotive sector must rethink its competitive position.  Increasingly, people want flexible transportation – from cabs, Uber, public transportation and/or their cars.

The automotive manufacturers (Ford, GM, Fiat, Mercedes, etc) must shift their focus from building physical cars to providing transportation – a shift in thinking and strategy.

In a very similar manner we can see that banking and financial services are moving from offering discrete services (mortgages, loans, checking/savings…

View original post 1,254 more words

IBM Launches “IBM Machine Learning”

ML/AI

It’s only March, but already IBM leads the software industry in gasbaggery.

Gartner’s most recent Magic Quadrant for Data Science Platforms includes this little gem:

Customers are often confused by mismatches between (IBM’s) marketing messages and actual, purchasable products.

That’s a polite way to say that IBM marketing messages have enough hot air to float a fleet of balloons over the Bernese Alps. With payloads.

Case in point: IBM’s recent product launch for IBM Machine Learning, a four-hour event held on February 15.

IBM exec Rob Thomas led with a vision:

Think about the possibilities with continuous intelligence. Cars will not simply drive themselves; they will know where you want to go next. Grocery stores will not just cross-promote products; they will fill your cart before you enter the store. Doctors will not just write prescriptions; they will create holistic health plans based on data constantly updated from activity trackers, eating…

View original post 1,416 more words

Machine Learning and the Startup World

David Cummings on Startups

Over the last few years the number of startups pitching machine learning as part of their special sauce has increased dramatically. Just a few days ago Tomasz Tunguz asked the question Is Machine Learning Overhyped? and argued it wasn’t.

From Wikipedia:

Machine learning is the subfield of computer science that gives computers the ability to learn without being explicitly programmed

So, if a computer is the figure out something without being told exactly what to do, there must be data with patterns that provides the basis for the learning. Here’s a Udacity video titled A Friendly Introduction to Machine Learning.

How does machine learning work?

Take a given set of data that’s known or correct (e.g. these are 10,000 pictures of cars) and have the software classify what it finds (e.g. size, shape, color, etc.) in this “seed” or “learning”, or “training” data (also called “supervised learning”). Now, give…

View original post 366 more words

Technologies and tools related to Industry 4.0

The New Layer

The industry 4.0 is becoming a requirement for the market of tomorrow. Customers often expect the orders are processed quickly and easily and also that the  products  are highly personalized.

The  future  needs and  wishes of the clients  will  only be possible  to satisfy  through  the merging both the production area and the digital data of the company. This  will  provide the  necessary  information to  workers  and  customers  to  deliver  a  good  product  and service and in the same way to optimize the manufacturing process.

The industry 4.0 allows adjusting the digitalization to the needs of each of the companies and not the other way around. Some of the example can be the planning  and  simulation of intelligent factories as well as a  selection  and  deployment  of  technologies,  methods and tools aimed at the digitalization.

In order to implement the industry 4.0 in a traditional company, some of the methods…

View original post 268 more words

Bitcoin – The New Age Revolution

Shrey Chheda

Bitcoin is a word most of us have heard somewhere or the other. However, most of us have only a minuscule knowledge about it. Through this blog, I would like to throw some light on this latest revolution.

What is Bitcoin?
Bitcoin is a crypto currency. Simply put, it is a digital form of money. It was designed by Satoshi Nakamoto. Interestingly, no one knows whether Satoshi Nakamoto is a real person or a group of programmers using this pseudonym.

How Bitcoin works?
Bitcoin is different from the app based wallets that we are used to, like Paytm and Freecharge. While these apps use actual currency for carrying out transactions, Bitcoin is the currency through which we can transact. Bitcoin itself is a store of value.
To understand this, we first need to know the history of our current system of currency.
Remember the olden days, when there was no…

View original post 803 more words

Get Digital

DCU DICE 2013

Our fourth and at the same time last Dice conference was all about the cloud. It took place on the 15th of April and as usual was held in the Helix on the DCU Campus.  Unlike the three prior conferences this one only lasted two hours because it was a part of the third National Conference on Cloud Computing & Commerce. An event that consisted two parts, six tracks and the plenary. Therefore, the number of speakers was lower than usual, in total five. The speakers included Clare Dillon from Microsoft Ireland, Paolo Malinverno from Gartner, Davin Cody from no_ads_please_we_are_engineers_250sqHewlett and Packard, Alistair Croll international author and public speaker and the CEO of Enterprise Ireland Julie Sinnamon.

The event started with Clare Dillon from Microsoft Ireland. Remembering the last speaker from Microsoft who basically did nothing else than advertising the Microsoft products I hoped this one would be…

View original post 636 more words

Making Sense of Big Data and its Power

My journey through digital marketing

File:Big data cartoon t gregorius.jpg

Just about every move a person makes is collected as data. Paying with a rewards card, conducting online searches, and using social media are just a few of the ways in which data is collected about us everyday.

All of these sources feed what is called Big Data. According to Webopedia Big Data is “used to describe a massive volume of both structured and unstructured data that is so large that it’s difficult to process using traditional database and software techniques.”

What does this really mean and what is it used for?

Getting to know your customers better through data has many pay offs. Today we are going to focus on marketing and how this data is used to better target customers.

One of the most basic ways this data can be used is through customization. Once a team has enough data they can predict what messages or products a…

View original post 595 more words

5 technologies that will help big data cross the chasm

Gigaom

We’re on the cusp of a real turning point for big data. Its applications are becoming clearer, its tools are getting easier and its architectures are maturing in a hurry. It’s no longer just about log files, clickstreams and tweets. It’s not just about Hadoop and what’s possible (or not) with MapReduce.

With each passing day, big data is becoming more about creativity — if someone can think of an application, they can probably build it. That makes the concept of big data a lot more tangible and a lot more useful to a lot more companies, and it makes the market for big data a lot more lucrative.

Here are five technologies helping spur a shift in thinking from “Why would I want to use some technology that Yahoo built? And how?” to “We have problem that needs solving. Let’s find the right tool to solve it.”

Apache Spark

When it comes to open source big data projects, they don’t…

View original post 1,110 more words

Get ready for a quantum computing software company

Gigaom

The technology world might soon be welcoming its first quantum computing software vendor, an Australian systems-analysis firm called Aerospace Concepts. The company, which also has a U.S. presence in a Washington, D.C., technology incubator, has partnered with Lockheed Martin to perform applied research about complex systems analysis on Lockheed’s D-Wave Systems quantum computer.

What that means, Aerospace Concepts COO Michael Brett told me via email, is that the company wants to develop algorithms that can wade through the complexities of creating advanced systems and help determine designs that best balance the various inherent tradeoffs. “For example,” he wrote, “a satellite needs to trade power and capacity while minimizing mass, so what is the best combination of factors to improve design.”

Theoretically — because the technology is still very much in its early days –quantum computing is ideal for this type of optimization problem as well as for advanced machine learning tasks…

View original post 243 more words