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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)

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)

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)

Getting Caught Up What Happened To September 2017

Getting Caught Up What Happened To September 2017 Getting Caught Up, What Happened In September? Seems like just yesterday it was the end of August with the start of VMworld in Las Vegas, now its the end of September and Microsoft Ignite in Orlando is wrapping up. Microsoft has made several announcements this week at Ignite including Azure cloud related, AI, IoT, Windows platforms, O365 among others. More about Microsoft Azure, Azure Stack, Windows Server, Hyper-V and related data infrastructure topics in future posts. Like many of you, September is a busy time of the year, so here is a recap of some of what I have been doing for the past month (among other things). VMworld Las Vegas During VMworld US VMware announced enhanced workspace, security and endpoint solutions, Pivotal Container Service (PKS) with Google for Kubernetes serverless container management, DXC pa... (more)

Automation Framework in Analytics – Part 1

This blog series highlights how we use our own products to test our events service which currently ingests more than three trillion events per month. With fast iterations and deliverables, testing has always been a continuously evolving machine — and a reason why AppDynamics is aligning toward microservices-based architectures. While there are multiple ways to prudently handle the problem of testing, we’d like to share some of the learnings and key requirements which have shaped our elastic-testing framework, powered by Docker and AWS. Applying this framework helped us deliver stellar results: Ability to bring up complex test environments on the fly, based on testing needs. 80% increase in speed of running and finding bugs earlier in the release cycle. The flexibility to simulate environment instabilities, which potentially occur in any production (or like) environme... (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)

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)

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)

IIoT Top News: Long Live Big Data!

As the IIoT continues to improve the way in which we collect and translate information, the buzzword on everyone’s mind today is “big data.” In fact, the market just for big data software is expected to grow 50 percent by 2019, and furthermore, spending in 2015 is already estimated at $15.85 billion on this technology. Why so much investment? The expectation is that big data initiatives will improve operational efficiencies by the large-scale storage and transfer of volumes of information safely and securely. Companies don’t always see the value in updating their information governance policies because there isn’t always a direct reward and no direct penalty for not complying. Tim Jennings, Ovum chief research officer, believes as big data continues to grow enormously within the company infrastructure, it is time to consider the security, availability, and time sp... (more)

Rubikloud: Empowering Retailers with Machine Learning-Driven Decisions

An Intellyx Brain Candy Brief Rubikloud helps retailers make data-driven decisions via two primary products. Its Promotion Manager provides retail marketers with the data they need to run successful mass promotions across multiple channels. Rubikloud’s Customer Lifecycle Manager focuses on known customers and prospects, giving retailers the ability to manage and optimize loyalty-based programs. Both products leverage big data technologies to combine multiple, disparate data sets across the retailer’s enterprise, move those data sets to the cloud, and then apply machine learning to distil essential insights that drive effective decision making. Rubikloud’s customers generally divide their efforts to focus on anonymous vs. known prospects, and therefore, the vendor’s products align with these different audiences. However, as retailers undergo digital transformation an... (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)