drone delivery

2020 vision

I was working recently with a mixed bag of people from a company, who were trying to predict the future and see how that company needed to change in order to get where they thought they ought to be going. One issue came up fairly quickly, and that was that 2020 isn’t that far ahead. As a result, the group started to think about 2025 as date for the changes to be made. The room had a mixture of IT people, execs, a variety of managers, and a number of people from different parts of the organization. I thought it would be interesting to contemplate some of the ideas that came up at the session.

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3rd platform and the mainframe

The Third Platform and the Mainframe

The Third Platform is defined as the interdependencies between mobile computing, social media, cloud computing, and information/analytics (big data), and possibly the Internet of Things (IoT). Here is a nice rendering of the Third Platform model from Forbes.com. It shows our new concerns: Mobility, Analytics, and Cloud (SMAC-IT) at the top level on the “Third Platform,” our LAN/Internet and our Client/Server apps on the “Second Platform,” and the clunky old Mainframe on the “First Platform.” When talking about the First Platform, people say that we know how these systems worked and how they were used, as if it’s all in the distant past. And that’s a mistake.

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In-memory technology: It’s new, and it’s not…

We read a lot about in-memory technology these days, especially as it applies to Big Data and analytics. In fact, it’s one of the fastest growing areas in all of computing, and has been since before Gartner identified it as such back in 2012. That should be no surprise to anyone since these new technologies promise to allow businesses to obtain actionable insight into their own data. This type of insight will play a big role in how much success these businesses will experience in the future, and in-memory technology will play an important role. It may interest you to know, however, that in-memory technology has been around for a long time, runs on all platforms, and that Big Data and analytics may not even be where in-memory technology makes its biggest impact on businesses.

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hybrid computing

Think before you click Hybrid Cloud Computing

Many of you may be thinking why on earth am I even suggesting this? Hybrid cloud computing offers flexibility, fault tolerance, subscription-based cost models, and much more. While that’s all true, it simply does not fit everyone’s business model. Let me explain.

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Thanksgiving, Mom and IT Leadership

Next Thursday, we will sit around a table with people whose political opinions we find heartless or naïve, who don’t binge the same shows as we do (or who don’t even have Netflix), and who think Docker is a brand of pants.  And we’ll enjoy ourselves—or at least make a reasonable effort to do so.

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Capacity Planners and Big Data

I was at a regional CMG meeting in Raleigh, North Carolina, giving a presentation on Big Data to a group of about forty Capacity Planners (big turnout for North Carolina a week after Hurricane Matthew hit). The group was interested in understanding the impact the nascent Big Data wave would have on their capacity plans. The answer is—a LOT.

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big data big opportunity

Big data – big opportunity

You’ve heard people talking about it and finally your organization has decided that there is a business case for going down that route, but what does big data involve? What do you need to know? After all, mainframes have always been able to store large amounts of data, and, importantly, retrieve that information quickly. Isn’t that what IMS databases were designed to do? Firstly, when you start Googling like mad to find out some information, you need to search for big analytics and perhaps even big workflows as well as just big data. But before you do that, let’s run over some basics.

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The news seems to be bad for Mainframes as an industry.

People are searching for the term progressively less over the years:

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Big Data and Gardening

You can be a botanist, a horticulturist or a gardener—it depends on how knowledgeable you want to be about what you are growing. But what’s that got to do with Big Data?

Well, I was recently having a conversation with Matt Ritter from Athena Health about Big Data, analytics, the role of the mainframe, and much more, and he posed what I thought was a really interesting question: What is the line between Business Intelligence and Data Science? His passion on this subject impressed me, and it reminded me of the passion of another person—my mother.

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Starting Small with Big Data

I recently read an excellent IBM paper on best practices for achieving line-of-business (LOB) performance increases through enterprise data analytics. This is an impressive and convincing piece on how top-down planning at the enterprise level can enable positive business outcomes across all business units by leveraging analytics applied to all enterprise data. It is highly recommended for large organizations that are ready to be serious about Big Data and analytics across the board.

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