What is the future of visual analytics? Many would suggest you’d need an army of data scientists and extensive investment in hardware and software to find out. Not so! With the re-vamp of IBM Many Eyes to deliver a broader selection of visualization techniques, IBM is once again giving the ability to derive insight from data, to the masses.
When it comes to finding nuggets of insight hidden in sheets of data, many eyes are always better than one!
Over two years ago when IBM Cognos 10 was first launched, one shy little feature was introduced with very little fanfare that had the potential to change the way we make decisions in businesses today. Unfortunately, at the time of the launch, the market was not yet ready for collaborative decision-making.
The world of social business has come a long way since then, and now is the time to stop making rash decisions, collaborate with your network of peers and experts, listen to the collective advice and experience of the entire team/organization, and make more informed, collaborative business decisions.
Summer means something different to each of us – for me it’s scorching temperatures, sprinklers, icy poles, and of course, the excitement of the Australian Open. It’s our first big sporting event of the year, and one that brings an influx of the world’s best as they battle it out in sweltering heat over long, drawn-out sets.
There’s only one thing better than being a Melbournian during the Australian Open, and that’s being a Melbourne-based IBMer. With a 20-year partnership between Tennis Australia and IBM, I have every excuse to drop tools and hit the courts, all in the name of research
Once a year, the man in the red suit holds all the power. Anyone who has kids knows what I’m talking about. We’ve all used (or experienced) the power of Santa to change behaviour, at least for a short period of time. For decades, poor Santa has been operating with a static set of data, often referred to as “The List”. But in the era of analytical insight, it’s even more important to behave – Santa doesn’t just have data, he has insight!
And he’s been taking a few tips from the local energy industry on how to turn insight into action.
Historically, small to mid-sized businesses (SMB) have struggled to access the significant return on investment offered by predictive analytics, simply because they don’t have the capital expenditure, time and skills required to implement the technology. That is, until now.
You asked for a way to derive predictive insight without the need to acquire statistical expertise and invest capital. IBM Analytic Answers with predictive analytics offered as a service, hosted via a cloud subscription to provide predictive insight on your data.
In 1997, Garry Kasparov, a human, famously lost a chess game to IBM Deep Blue, a machine. There-in started the age of “Man vs Machine” – a hot topic for many boardroom debates and box office movies. What many may not know, is the events that transpired in a freestyle chess tournament held in 2005. Neither Man nor Machine took home the title, it was in fact two men and a machine working in cooperation that reigned supreme and took home the title.
In Shyam Sankar‘s TED presentation “The rise of human-computer cooperation“, he so rightly points out that “brute computing force alone can’t solve the world’s problems“. Least of all, the world’s analytical problems. Which is why Man and Machine must team to drive greater insight.
To celebrate my mother’s birthday, this post is dedicated to fixing one of her frustrations – being overwhelmed with information that delivers very little insight.
Have you ever found yourself in the situation where you’ve had to make an important business decision, IT have given you a 100-page report (that took months to develop) and yet you can’t find the one answer you need to make the right decision?
Normally I write about what I know. Today I’m writing about what I wonder.
In case you haven’t already noticed from previous posts, I’m really passionate about sport. Born and raised in Melbourne, the home of Australian Sport, it really isn’t a surprise. Which is why I’m so interested in how analytics is being used to transform the world of sport.
In previous posts I’ve talked about how analytics is helping the Leicester Tigers better predict and prevent injury in players, and how social media is determining a whole new dimension of “winner” in the Grand Slam Tennis tournaments.
But I wonder, can analytics help us to identify junior and amateur players that have the greatest potential to turn pro?