Archive for the ‘News’ Category

Yes, we have a copy of it. No, we’re not selling it. However, we’ll be putting our data analytics and data quality glasses on to see what lies within.

Several Australian cities featured prominently on the list of AM users. Singapore, which had banned the website was highly represented.

There is nothing special about Ashley Madison’s leak except that the brand attracts alot of negative emotions. They probably stepped on the toes on a capable geek. Reality is that nothing is safe on the internet, and transparency is your only defence.

Should Ashley Madison have done more to protect their data? Yes! The next simple step of basic data encryption should have been done. But it wasn’t.

Bye bye Ashley Madision. You’re not the first, and I am sure you won’t be the last. There is no defence against cheating spouses expect character, honesty, truth and love.

 

Bimodal IT refers to having two modes of IT, each designed to develop and deliver information- and technology-intensive services in its own way. Mode 1 is traditional, emphasizing scalability, efficiency, safety and accuracy. Mode 2 is non-sequential, emphasising agility and speed.

After fads of Agile Management, PRINCE2, ITIL, P3M3, Waterfall etc… which all remain relevant to project execution, today’s enterprise recognises that different parts of the organisation operates under different parameters.

Agile remains the high suitable for smaller teams with high performance goals. The Agile Director is an expert in agile project management.

 

Microsoft announced in Jan 2015 of a new browser for Windows 10. Code-named the Spartan project, it is designed to work on all devices across the Microsoft family from Laptops, Desktops, Phones, Tablets etc… Internet Explorer will still be distributed to support legacy enterprise applications.

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The tech portal Gigaom which has been covering tech news since 2006 has closed citing “Financial difficulties”. It has literally run out of money and its financiers will now own the assets of the portal.

Bye Gigaom!

Jeremy Snyder of Entiviti gets onboard as a startup advisor. Jeremy is a multi-talented individual who has been involved in several successful startups. Jeremy currently advises several startups in Big Data space.

Over the coming weeks we will be looking at tweaking the Glitchdata business, and engaging with folks in the USA.

Thank you to Fabien of Power Data Group for endorsing the ideas and vocalising the need of managed data in an increasing connect world with enterprises hungry for insights. You can have all the tools, and systems, but it takes careful planning, consultants and data to get insights and reports flowing.

Glitchdata welcomes Power Data Group as a distributor of our products.

 

Hi! It’s been a busy last couple of weeks, with trips to asia, a slew of conversation with friends and honing of concepts around Glitchdata. However, it is done and I am pleased to present “Glitchdata“.

Until now, Glitchdata has been a community of data architects focused on data integration. We all breath data, and over the course of work it is becoming increasingly apparent that the main problem faced by the data industry is data itself. As such, we are now focused on master data management and the distribution of managed datasets.

So watch this space for news, insights and ideas on this newly minted startup. Feel free to give us feedback, and support us via donations or purchasing our datasets.

Gartner is hosting the Business Intelligence & Information Management (BIIM) Summit. A must attend event for BI/IM folks who are looking into the evolution of BI/IM to provide value to their organistions. What is interesting are topics like “the last mile for BI” and the move to “predictive and prescriptive” data.

Two thoughts come to mind when I look at the details of this conference.

For alot of organisations, they are very very far from “the last mile”. Without methodical and data-centric approach to BI, many organisations are stuck in no-man’s land. The chaos of semi-defined masterdata, a plethora of link tables/translation tables, poor definition of transactional and analytical datasets, half-fuel performance at all levels of the BI stack, and probably significantly under-performing BI. Naturally business owners want to get value from their BI/IM investments. Traditionally, this has been considered an important and justifiable cost to the organisation especially for decision making, but its increasingly important to extend that capability into future scenarios. Future scenarios involve the unknown. Unknown datasets, unknown parameters, unknown visualisations, unknown BI/IM capability. These are the topics that I would like to see from this conference.

Anyway, I’ll be attending the conference. Email me if you want to meet.

Conference Tracks

Trends and Futures Information Innovation Performance Management Social and Big Data Virtual Tracks

The future of Git is bright. It displaces probably every Code-Versioning System (CVS) system out there, and its open sourced (GPL2)

So what is being displaced by Git? Mercurial svn cvs

So what is great about Git? It’s flexibility, and ability to manage code in any code-management workflow that you can think of. Some examples are:

Local development (for Individuals) Hub-Spoke (for Teams) MegaHub-Hub-Spoke ( for multiple Teams) Spoke-Spoke (for peer-to-peer development) Spoke-Spoke-Hub-Spoke-Spoke (for peer-to-peer and Teams) and the combinations go on…

So what unique concepts drives the unique distributed development capability of Git? These are:

Efficient key-value file storage (http://git-scm.com/book/en/Git-Internals-Git-Objects) Efficient and precise history / log tracking Strong performance even on large repositories

But of the key strengths of Git is the adoption by the linux community. Git is the brainchild of Linus Tovalds (the creator of Linux).

Kudos to Brittany Wenger from Lakewood Ranch, USA for winning Google’s Science Fair Grand prize.Using a 6-node Artificial Neural Network (see her slides), and alot of cloud computing power, Brittany has managed to train the neural network to detect maligned breast tumors with an accuracy of 99.11%

Now, what is notable is that this girl is 17 years old. I was talking to some parents recently about how the amount of new knowledge being generated today is in the exponential scale. What this means is that they next generation of kids will have to learn more and in less time. Now, I am sure neural networks have been implemented by geniuses far younger than 17 years.

The comparison I would like to make here is that I learnt neural networks at age 20 (and with minimal successful commercial application), and as Britanny has a successful implementation of a neural network at age 17, I would now say that:

My kids will probably be implementing neural networks at age 14-15 Artificial intelligence is going to be more commonplace in the future.