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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)

How to Prevent Alerting Overload

In our always-on, IoT-enabled, cloud-connected, big data age, we face a major paradox: it’s now easier than ever to collect large amounts of data — yet the more data we collect, the harder it becomes to monitor situations effectively. This problem is similar to what psychologists call “information overload” — the phenomenon that causes someone to fail to make decisions effectively because he has too much information to contend with. In some contexts information overload is unavoidable. If you get hundreds of emails each day, there may not be much you can do about feeling overwhelmed by them, as you don’t necessarily have a lot of control over who sends you an email. Yet, when it comes to data center infrastructure, information overload is not inevitable. It’s entirely up to you to decide how much and what types of data to collect. If you find that you have too much ... (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)

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)

CTOvision Assessment on The Megatrend of Cloud Computing

Bob Gourley There are seven key MegaTrends driving the future of enterprise IT. You can remember them all with the 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 the first of these trends, Cloud Computing. We succinctly describe Cloud Computing as the scalable delivery of computational resources. Models of cloud compute include public clouds, private clouds and blends in between. Architectures are in place now that leverage tiers of clouds that can exist in multiple sizes and locations, including homes, businesses and datacenters. A snapshot of the trend right now indicates: Although it can cost additional resources to embark on a cloud transition effort, in most cases after initial outlays there are significant cost savings. Comme... (more)

Integrate #Blockchain into Business | @CloudExpo #IoT #AI #FinTech #Bitcoin

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)

CTOvision Assessment On The Megatrend of Artificial Intelligence

Bob Gourley There are seven key megatrends driving the future of enterprise IT. You can remember them all with the 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 (AI) is the discipline of thinking machines. The term Machine Learning (ML) is frequently used in AI discussions. Machine Learning is a subset of AI that focused on giving computers the ability to learn without being explicitly programmed. 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... (more)

My Banned Words for 2017

Just for fun, here is a list of buzzwords, biz speak, and hipster droppings that should be banned from every business meeting forevermore. In my last banned word rant, I opined about a proleptic conversation that began, Client: “Our Big Data Rock Star ideated a cloud-based, scalable, native programmatic tool set that produced excellent learnings.” [Consultant]: “Well, it sounds like he took it to the next level … efforting 110% to craft a best practices, robust solution you can leverage, and it’s clearly out of the box thinking … but maybe you shouldn’t try to boil the ocean … it’s got a lot of moving parts and I’m not sure it’s something you want to take ownership of. … You might be accused of punching the puppy, so the optics are all wrong. We should probably put this in the parking lot.” Sounds pretty stupid, right? If you don’t like these phrases strung togethe... (more)

Pepperdata: Performance Management in Support of DevOps for Big Data

An Intellyx Brain Candy Brief Big data environments require specialized performance management tooling. Pepperdata recently announced its code analyzer for Apache Spark, adding it to its suite of application profilers and cluster analyzers for various on-premises and cloud-based big data environments. For real-time, scale-out architectures like Apache Spark’s, monitoring and managing performance throughout the software lifecycle presents several unique challenges, as Spark depends upon real-time clustering, garbage collection, and sophisticated CPU, memory, and disk management. Pepperdata gives developers the tools they need to build and deploy high performance Spark applications and ops personnel the tools they need to manage such applications. As enterprises move to DevOps, tools like Pepperdata are invaluable for fostering performance-related communication and co... (more)

Latest CTOvision Assessments on Cloud Computing, Artificial Intelligence, Mobility, Big Data, Robotics, Internet of Things and Cybersecurity

Bob Gourley One of the enjoyable things about estimating the future is there is always a new consideration. It is a dynamic task that is never done. This is especially true in analyzing the future of enterprise technology, where things are always moving fast. We try to find balance in tracking the future of technology by focusing on the metatrends, those very powerful forces that sweep over us all (whether we want them to or not). Megatrends change, but not as fast as the rapidly changing offerings of the tech ecosystem. This allows us to make predictions with a bit more certainty than trying to predict which product or solution or company will dominate. This approach enables a degree of certainty supportive of most strategic planning efforts, even if it does not provide precision around timing or exact manifestation of solutions. The megatrends we track can be re... (more)

Seminar: SDx: Building an Agile Business with Flexible Infrastructure

VIP SDx Summit and Networking Event 9 May, 2017 Renaissance Blackstone Chicago Hotel Click here for more information and to register. Overview Wipro invites you to join us for a half-day SDx Summit on everything your enterprise needs to know about SDx – Software-Defined Everything, on 9 May, 2017 at Renaissance Blackstone Chicago Hotel. This thought leadership event is the second in our global series, which launched earlier this year with a successful Summit in London. Hear the latest on SDx from industry luminaries, as well as Wipro customers and partners. The sessions will run from 3:00 pm to 6:30 pm CT, and conclude with a cocktail reception. ABOUT SDx Software-defined Everything (SDx) is: SDx help client accelerate digital transformation (DX) in order to gain a competitive edge by enabling Nextgen IT which is agile and adaptive. It overall abstracts, automate and... (more)