Carnegie is a tremendous book, if you want a deep look into how he transformed from factory worker, to steel magnate, to philanthropist. Hint: it was a lot of hard work and smarts. However, one thing stuck with me from this book: his insights on strategy.
I just returned from the 2012 IBM Technical World for Smarter Computing Conference that took place from April 15 - 19 in San Francisco. I want to share my impressions with you, while they are still fresh in my mind.
This month's chat focused on a topic with some pop culture appeal: IBM Watson. Since winning Jeopardy! just over a year ago, Watson has gone to work in the real-world, in both the healthcare and finance industries. Analyst Adrian Bowles joined the chat and contributed his insight.
This month’s #cloudchat on March 8 from 4-5 p.m. ET will take a look at Watson’s journey over the past year and what’s in store for the future, as it leverages big data analytics and the cloud to solve real-world problems (learn about how Watson is working in healthcare: http://bit.ly/z7oAgv and the banking industry: http://ibm.co/xNa6Jy).
I find it fascinating the idea that anyone can potentially discover something very interesting with huge repercussions using these new technologies enabled with cloud computing. We are on the verge of many breakthroughs, thanks to these technnologies. For example, back in October 2011, I read an article in a newspaper in Toronto about a curious discovery made about the March 2011 Japan earthquake.
The UP Conference was an excellent opportunity to meet with innovators of the cloud industry. IBM presented two key presentations one on “Next Generation Cloud Platforms – accelerating time to market” and one presentation on “Real-Time Behavioral Insight into Consumer Interaction.”
Note: Over the next two weeks, we’ll be posting one blog per day from our top 10 “greatest hits” from Thoughts on Cloud since we launched in September. This post was originally published on Nov. 7.
It couldn’t be easier to set up your Hadoop cluster on the IBM SmartCloud Enterprise. It’s also fast! For example, a three-node Hadoop cluster can be up and running in less than 30 minutes.