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Beyond Bitcoin: How Enterprises Can Integrate Blockchain into Business By Kristy Blackmon In 2016, blockchain technology came close to hitting its peak on Gartner's annual Hype Cycle, signaling an imminent shift from an emerging, theoretical technology to widespread adoption. Like cloud, big data, and the Internet of Things (IoT) before it, blockchain is the tech industry's latest Next Big Thing. Analysts and industry experts say it holds immense potential for organizations, but many business leaders don't yet see a practical application for their operations. While a lot of people know blockchain is the technology behind Bitcoin, Ethereum, and other cryptocurrencies, what about enterprise applications in other industries? What exactly is blockchain? The code that makes up blockchain is incredibly complex, and only a few thousand people understand it. On a high level... (more)

Megatrend of #ArtificialIntelligence | @CloudExpo #BigData #AI #ML #DL #IoT

There are seven key megatrends driving the future of enterprise IT. You can remember them all with the helpful mnemonic acronym CAMBRIC, which stands for Cloud Computing, Artificial Intelligence, Mobility, Big Data, Robotics, Internet of Things, CyberSecurity. In this post we dive deeper into Artificial Intelligence. Artificial Intelligence is the discipline of thinking machines. The field is growing dramatically with the proliferation of high powered computers into homes and businesses and especially with the growing power of smartphones and other mobile devices. Artificial intelligence software is assisting people in most every discipline. The many functions of AI are considered by many to be threatening many human jobs across multiple industries, but others consider it a great producer of jobs since it will help create entirely new industries and free more human... (more)

You Need #DevOps | @DevOpsSummit @DMacVittie #CD #APM #Monitoring

For those unfamiliar, as a developer working in marketing for an infrastructure automation company, I have tried to clarify the different versions of DevOps by capitalizing the part that benefits in a given DevOps scenario. In this case we’re talking about operations improvements. While devs – particularly those involved in automation or DevOps will find it interesting, it really talks to growing issues Operations are finding. The problem is right in front of us, we’re confronting it every day, and yet a ton of us aren’t fixing it for our organizations, we’re merely kicking the ball down the road. The problem? Complexity. Let’s face it, the IT world is growing more complex by the week. Sure, SaaS simplified a lot of complex apps that either weren’t central to the business we’re in or were vastly similar for the entire market, but once you get past those easy picking... (more)

NFV Microservices | @CloudExpo #DevOps #SDN #Docker #Microservices

As AT&Ts VP of Domain 2.0 architecture writes one aspect of their Domain 2.0 strategy is a goal to embrace a Microservices Application Architecture. One page 9 they describe how these envisage them fitting into the ECOMP architecture: "The initial steps of the recipes include a homing and placement task using constraints specified in the requests. ‘Homing and Placement' are micro-services involving orchestration, inventory, and controllers responsible for infrastructure, network, and application. The goal is to allow algorithms to use real-time network data and determine the most efficient use of available infrastructure capacity." This was a scenario industry expert Tom Nolle envisaged, and vendors like Ciena have re-engineered their telco platform offering accordingly. This last point highlights how they will interface with the DCAE big data smart management frame... (more)

What Is #DigitalTransformation? | @ThingsExpo #AI #DX #IoT #SmartCities

For a phrase that’s being thrown around a lot recently, what does “Digital Transformation” really mean? When someone says that they want to digitally transform their business, what does one really mean, why do they want to do it, and should they approach this “digital transformation” process? First off, let’s start with a definition. If we don’t know what we are trying to achieve, then how do we know how to get there? Or to quote the famous Greek philosopher Yogi Berra: “If you don’t know where you are going, you’ll end up someplace else.” In a recent blog “How To Achieve Digital Transformation,” I stated with the following definition of Digital Transformation: “The coupling of granular, real-time data (e.g., smartphones, connected devices, smart appliances, wearables, mobile commerce, video surveillance) with modern technologies (e.g., cloud native apps, big data ... (more)

Digital Transformation: Leading a Learning Organization

Forward-thinking CEOs ensure that their organization has access to the latest digital business technologies. But in today’s global networked economy, that’s not enough. If you believe that digital transformation knowledge is power, then fully mastering the ability to apply your IT capabilities into actionable wisdom is infinitely more potent. The Harvard Business Review (HBR) market research team recently completed a global study of the path that several organizations have taken to develop and deliver the digital learning support resources that their key internal stakeholders both need and want. In a prior editorial, I described how Digital Leaders are better prepared to cross the skills chasm. In this follow-on editorial, I’ll share the typical roadblocks on the path to digital transformation progress. Plus, I’ll also share some useful recommendations. Enabling Ongoi... (more)

A Short History of Programming – Part 2 | @DevOpsSummit #Java #AI #ML #DevOps

Code Compiled: A Short History of Programming - Part 2 By Omed Habib This is the story of software. The initial blog in this series was all about the structural formation of programming languages. We went all the way back to steampunk days to see how the framework for programming grew out of Charles Babbage’s Analytical Engine in the 1840s. We ended up with a list of the most active programming languages in use at the moment. Now we’ll take the next logical step to examine what programming has done for enterprises and SMBs. We’ll also trace the effects of shockwaves in the world of databases, communications, and mobility. Technological Change Blindness There’s a strange phenomenon known as change blindness that describes how normal people don’t notice massive, obvious changes in their environment. It can emerge from gradual shifts or very rapid transformations that ar... (more)

Shared Economy #DigitalTransformation | @ThingsExpo #IoT #AI #ML #DL

Digital Transformation Hub - Realizing the Shared Economy Last week I mentioned to one of my U.S.-based colleagues that I would be out of office for three days at the Irish National Digital Week (NDW16), taking the opportunity because the event was being held in Skibbereen, just a few kilometres down the road from my home office. He asked, "Surely an event of that type would be held in Dublin?"  And I replied, "Well there's a story here that needs to be told; one that will have profound implications for business in Ireland and probably internationally". Skibbereen is a small market town in the South West of Ireland. The population is approximately 2000, although there's perhaps several times that number in the immediate hinterland. It's not an easily accessible area, you get there by going to Ireland’s second city Cork, and then taking pretty dreadful roads for some... (more)

The Data-Driven Enterprise | @BigDataExpo #BigData #DataScience #Analytics

I moderated a panel of three CIOs last Sunday at the Solix Empower conference on the subject of data-driven enterprise. The three CIOs came from different industries. Marc Parmet of the TechPar group spent many years at Avery Dennison after stints at Apple and IBM. Sachin Mathur leads the IT innovations at Terex Corp., a large company supplying cranes and other heavy equipment. PK Agarwal, currently dean at Northeastern University, used to be the CIO for the Government of California. Here are some of the points covered: I reminded the audience that we are at the fourth paradigm in science (as per the late Jim Gray). A thousand year ago, science was experimental, then few hundred years back science became theoretical (Newton’s law, Maxwell’s law..), fifty tears ago, science became computational (simulation via a computer). Now the fourth paradigm is data-driven sci... (more)

Data Infrastructure Server Storage I/O | @CloudExpo #Storage #DataCenter

Data Infrastructure Server Storage I/O and Related Tradecraft Overview Data Infrastructure server storage I/O network and associated tradecraft are your skills, experiences, insight as well as tricks of the trade, profession and job function (read more about what is a data infrastructure here). This is the first of a two-part series exploring data infrastructure along with server storage I/O and related tradecraft. Read part two of this series here. Data Infrastructure and IT Infrastructure Layers Data infrastructure encompasses servers, storage, I/O and networking along with associated hardware, software, services and management tasks including data protection among others. Tradecraft is knowing about tools, technologies, and trends in your primary domain as well as adjacent focus areas. However, tradecraft is also about knowing how and when to use different techno... (more)

Meta-Learning | @CloudExpo @ProgressSW #BigData #AI #ML #DX #Analytics

True Democratization of Analytics with Meta-Learning By Mark Troester There are many solutions that claim to democratize analytics, but they are really constrained. A meta-learning approach democratizes without limits. The democratization of analytics has become a popular term, and a quick Google search will generate results that explore the necessity of empowering more people with analytics and the rise of citizen data scientists. The ability to easily make better use of your (constantly growing) pool of data is a critical driver of business success, but many of the existing solutions that claim to democratize analytics only do so within severe limits. If you have a complex business scenario and are looking to get revolutionary insights using them, it’s easy to come away disappointed. However, the democratization of analytics isn’t just a buzzword that refers to a n... (more)