Thinking about Big Data — Part Two

BigDataIn Part One of this series of columns we learned about data and how computers can be used for finding meaning in large data sets. We even saw a hint of what we might call Big Data at Amazon.com in the mid-1990s, as that company stretched technology to observe and record in real time everything its tens of thousands of simultaneous users were doing. Pretty impressive, but not really Big Data, more like Bigish Data. The real Big Data of that era was already being gathered by outfits like the U.S. National Security Agency (NSA) and the UK Government Communications Headquarters (GCHQ) — spy operations that were recording digital communications […]

Thinking about Big Data — Part One

BigDataBig Data is Big News, a Big Deal, and Big Business, but what is it, really? What does Big Data even mean? To those in the thick of it, Big Data is obvious and I’m stupid for even asking the question. But those in the thick of Big Data find most people stupid, don’t you? So just for a moment I’ll speak to those readers who are, like me, not in the thick of Big Data. What does it mean? That’s what I am going to explore this week in what I am guessing will be three long columns.

My PBS series Triumph of the Nerds was the story of the personal computer and […]

The mainframe is dead. Long live the mainframe!

mainframeZRumors are flying within IBM this week that the z Systems (mainframe) division is up for sale with the most likely buyer being Hitachi. It’s all a big secret, of course, because IBM management doesn’t tell IBM workers anything, but the idea is certainly consistent with Big Blue’s determination to cut costs and raise cash for more share buybacks. And the murmurs are simply too loud to be meaningless. Think of this news in terms of a statement made last week by an IBM senior executive: “In a world of Cloud Computing, it does not matter what equipment or whose hardware the cloud runs on. We are a Cloud company…”

This move by IBM would not […]

The Problem with Analytics

IBM-Bigdata-AnalyticsThere is a difference between knowledge and understanding. Knowledge typically comes down to knowing facts while understanding is the application of knowledge to the mastery of systems. You can know a lot while understanding very little. Just as an example, IBM’s Watson artificial intelligence system that defeated the TV Jeopardy champs a few years ago knew all there was to know about Jeopardy questions but didn’t really understand anything. Ask Watson to apply to removing your appendix its knowledge of hundreds of medical questions and you’d be disappointed and probably dead. That’s the problem with most analytics, which is why it can be a hard sell.

The answer to this problem, we’re told, […]

Ginni the Eagle: IBM’s Corporate “Transformation”

IBMI promised a follow-up to my post from last week about IBM’s massive layoffs and here it is. My goal is first to give a few more details of the layoff primarily gleaned from many copies of their separation documents sent to me by laid-off IBMers, but mainly I’m here to explain the literal impossibility of Big Blue’s self-described “transformation” that’s currently in process. My point is not that transformations can’t happen, but that IBM didn’t transform the parts it should and now it’s probably too late.

First let’s take a look at the separation docs. Whether you give a damn about IBM or not, if you work for […]