Skip to content

Posts tagged ‘predictive’

3
Feb
5 smarter steps from Farm-to-Fork

5 Steps to Smarter Food on your Fork

If, like me, you were raised to always finish the food on your plate because there were less fortunate children starving around the world, you would be horrified to know that in developed nations, 40% of all food produced is thrown away before it even makes it to your plate!

Add to that the knowledge that more than 70% of fresh-water usage is consumed trying to get food from farms on to your fork.  With a typical carrot in Iowa traveling 16,000 miles from farm-to-fork, do you really want to be eating that carbon footprint?

Fortunately, there are smarter ways to feed our families thanks to analytical insight.

Read more »

6
Jan
NE1410S

NE1410S?

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 :)

Read more »

19
Dec
From the Silly Season comes Smarter Shopping

From the Silly Season comes Smarter Shopping

For retailers, the busy holiday season brings the opportunity for significant revenue, but also the added stress of making sure shelves are stocked to provide maximize returns. Which begs the question: how do you know what products should be stocked in which stores?

See my guest post on A Smarter Planet Blog to find out.

And Happy Holidays to all!

11
Dec
You Asked IBM Analytic Answers

You asked, IBM Analytic Answers!

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.

Read more »

3
Dec
Man and Machine Teaming for Insight with SPSS

Man & Machine Teaming for Insight with SPSS

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.

Read more »

13
Nov
Predicting Pro Players

Predicting Pro Players

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?

Read more »

24
Oct
IBM IOD 2 from day 2

IBM IOD: 2 from Day 2

Two sessions at IBM IOD captured my interest today – one because it highlighted some new offerings that are super-sexy, and the other because I was presenting it!

Read more »

29
Aug
Analytics in Sport

Analytics in Sport: Making the Invisible, Visible

This post is inspired by my beloved Essendon Bombers.  Who, after showing significant promise at the start of the season beating the top contenders for the championship, have since suffered injury after injury after injury, with nothing short of humiliating defeats in the lead up to the finals.

Analytics in the world of sport is not a new concept, and yet many teams are still to realise its full potential.  Much like the world of business, sporting teams around the world are looking to analytics to make the patterns and trends in human performance and game strategy that may be invisible to the human eye, visible.

Read more »

21
Aug
Best-of-breed vs Integrated Portfolio

Best-of-breed vs Integrated Portfolio: The building blocks of success

There is one question I get asked more than any other: Should I invest in best-of-breed products or an integrated portfolio?

Technology essentially provides the building blocks on which we can build solutions to deliver value to the business.  Each of the individual building blocks needs to meet the design brief.  However, key to project success is the ability for those building blocks to work together.  So how do you choose?

Read more »

7
Aug
Marking the Mystery Customer with Entity Analytics

Marking the Mystery Customer with Entity Analytics

Today, I had to drop into my local post office to send a parcel.  Waiting in line I couldn’t help but notice the array of seemingly random items in front of me.  Footballs, mini hammers, DVDs, children’s books – not exactly mail-related items.

It got me thinking – we talk about retailers using analytics to target customers with campaigns and offers they are most likely to accept.  But what if you don’t know who your customer is?

Read more »

  • RSS
  • Newsletter
  • LinkedIn
  • Twitter