Category Archives: IT History

Artificial Intelligence (AI) – Demystifying the latest buzzword

Artificial Intelligence (AI) – Demystifying the latest buzzword

Everywhere you turn today someone is talking about Artificial Intelligence (AI). It appears to have taken over as the largest buzzword since Big Data.

Progressive organizations are actively seeking ways to apply AI. They want to use it to advance their businesses and build new experiences for those they interact with internally and externally.

Alas there is great confusion as to what AI means. That just gets worse when people mix that up with terms such as Machine Learning and Deep Learning. If you ask several different people their view on what is AI, or Machine Learning, you will get several different answers.

AI ElephantIt is the age-old problem of describing an elephant dependent on which side of it you touch while blindfolded.

AI is not a new topic. People have been pursuing AI since the 1940s. Machine Learning, which has developed from the field of Artificial Intelligence, has been around since at least the 1980s and Deep Learning, which is a subset of Machine Learning, has been rapidly gaining in popularity over the past 10 years. This post explores all these topics setting the scene for some upcoming posts.

Continue reading Artificial Intelligence (AI) – Demystifying the latest buzzword

The technology backbone of IOT – what’s needed from a platform POV and how to think about it

As previously stated there is a tremendous opportunity created by the fourth industrial revolution and the technologies powering it such as ubiquitous connectivity, big data, analytics and the cloud which combines to enable the “internet of things” (IoT).

Already we are seeing organizations go “all-in” and accelerate. Examples include Schneider Electric and Rolls Royce who are pivoting today for the future. We are also seeing IoT projects having a material impact on society such as the example of a combination of partners coming together in Nigeria to transform lives by making electricity delivery more reliable through IoT.

What each of these organizations have in common is a recognition that their existing technology needed to be augmented to help them better leverage the opportunities of the future and deliver the new services and optimized experiences that will enable them to thrive.

In this vein, progressive organizations and governments have begun building a next generation digital software platform that is:

  • able to span the IoT spectrum, from the things they want to connect to the actions they want to drive;
  • able to provide the connectivity to communicate with the things in BOTH directions for the purpose of command and control;
  • able to handle the data acquisition, storage and management of vast quantities of data at good speed and economically sensible and scaling price points;
  • able to deliver a strong analytics underpinning that supports the very latest cognitive technologies as well as machine learning and statistical approaches to derive intelligence, foster usage and drive more educated business decisions and actions;
  • able to enable the development of web, desktop or mobile applications and/or delivery of out of the box reporting;
  • able to seamlessly support the connection to productivity, ERP and other SaaS applications to drive action and close the loop automatically;
  • able, as a core priority, to deliver end-to-end integrated security. We live in a world where trust and privacy are paramount and the weakest link is often “add-ons” not originally designed to work together.

Let’s go deeper on a few of these important areas to consider  when building a next generation digital software platform that is IOT ready:

Sensors and Security

IoT projects inherently need sensors on physical things monitoring and interacting with the physical environment via a digital twin. The most exposed parts of an IoT enabled digital software platform are often the physical things and specifically:

  • the software running on the thing – how secure is it;
  • how data is handled on the thing – how is it locally stored and securely transmitted;
  • how secure exchange and execution of command and control is handled with the thing;
  • how identification and authentication happens to prevent spoofing or other issues.

Security of any next generation digital software platform is paramount and there is much ground to cover. There is a helpful blog post on How Microsoft engineers for IoT security and you can read the whitepaper Securing Your Internet of Things from the Ground Up.

Cloud based

So called smart things are generally always connected, always on and always generating data. The incoming data requires ongoing evaluation to deliver the level of service people will expect and the amount of data will continue to grow.

This implies that the platform must be:

  • universally accessible – things move. Your services need to keep working no matter what;
  • secure and reliable – nothing will turn off the next generation more than lax security or poor reliability;
  • able to scale quickly – you never know when the next “big” thing might hit. Look at “Pokemon Go”. Imagine if this was your service exploding into life. You need to ensure you can scale up and, when interest in that service wanes, scale down based on demand.

The only way to deliver that, unless you want to run huge budgets on non-value add in-house IT services, is through a cloud based approach which guarantees accessibility, reliability and speed.

Complete and agile

The next generation digital software platform must support end to end development and integration of systems of intelligence, which power these new smart “things” and their services.  The platform needs to have the capabilities you need in one place pre-integrated. Time to market is critical, as is security, and patchwork integration is the brake and risk multiplier you cannot afford. The platform must also be agile and flexible so that you can change according to market shifts.

Pulling it all together and getting started

The idea of a next generation digital platform with such capabilities might sound dramatic but the opportunities it brings are huge. The next generation digital platform will provide the technical foundation to launch new companies and services or revitalize existing ones. But, where to begin?

Microsoft offers an IoT QuickStart Program with guidance on where to start. The program offers a real-world plan to suit unique needs you may have, focused on the issues you want to tackle and the services you want to deliver, so you can start transformation immediately and progressively. The end goal is clear but how you get there depends on many things in the local contextual environment.

In the next article I will discuss a little of how to get the enterprise ready for the shift and how to ensure they come along with you on the journey. Thanks for reading!

Safe Harbor – Personal Data Of EU Citizens Not Safe In The USA?

Safe HarborSafe Harbor is no more. Well Safe Harbor still exists but following a ruling in the European Court of Justice it has now been ruled as an invalid mechanism to protect the data and privacy of European Union citizens personal data when it is moved to the USA from the EU. In essence this is a damning statement that says European Citizen personal data was never safe from certain parties in the USA.

TThis is down to the fact that the US government is perceived as having used that transmitted data to spy on citizens (as alleged by Edward Snowdon). There is no suggestion of bad behaviour by US organizations themselves who generally offer much better protection than many companies could develop and maintain themselves.

Exactly what this means is still being worked on. I suspect it will mean a lot of scrambling and head scratching for the many organizations (estimated at about 4500) who use Safe Harbor. Those organizations use it to enable them to run a centralized internal IT platform which supports their entire global operations, to offer centralized platforms for consumers hosted and run totally out of the US and for companies who move data around as part of their general business approach.

This week I had a number of non-IT friends ask me what this was all about. Mainly these questions are coming as the ruling is making news headlines around Europe. This post is a summary of what I tried to explain to them. Safe Harbor is something most people never knew existed in the first place and it is amazing it has taken over our televisions.

Continue reading Safe Harbor – Personal Data Of EU Citizens Not Safe In The USA?

The factors that drove the growth of Hadoop

Originally published on SAS Voices

elephant-684600_1280In the first instalment of this series on Hadoop, I shared a little of Hadoop’s genesis, framing it within four phases of connectivity that we are moving through. I also stated my belief that Hadoop has already arrived in the mainstream, and we are currently moving from phases three of connecting people to phase four of connecting devices and things.

In this post I want to cover my views on the developments that have allowed Hadoop to break free from the Silicon Valley bubble and appeal to organizations of all sizes.

Continue reading The factors that drove the growth of Hadoop

How Hadoop emerged as one of the most important Big Data technologies

Originally posted on SAS Voices

elephant-158556_1280In the world of IT, very few new technologies emerge that are not built on what came before, combined with a new, emerging need or idea. The history of Hadoop is no exception.

To understand how Hadoop came to be, we therefore need to understand what went before Hadoop that led to its creation. To understand why Hadoop stagnated for a few years we need to understand how it was initially used. To understand why Hadoop is now accelerating in its adoption, we need to look at what is happening now and where we are headed.

Looking back at the phases of evolution that led to the emergence and incubation of Hadoop along with the current and future path of the technology can help us understand why it has gained in importance and where the hype is coming from.

Continue reading How Hadoop emerged as one of the most important Big Data technologies