IBMInsight

You are laying forth a vision of the future with real customer stories. @DVellante on #theCUBE

Our story is our clients' success. @BobPicciano on #theCUBE

The insight economy is where the IT vision is hitting a new inflection point. @BobPicciano on #theCUBE

the Insightr Economy is how to derive valuable insights from all the data. @BobPicciano on #theCUBE

Data that is difficult to work with people often forgo trying to get value from. @BobPicciano on #theCUBE

Almost 90% of data is not used, & much of its value evaporates in a few minutes. @BobPicciano on #theCUBE

Whirlpool installs a machine & the next time they hear from the customer is when something goes wrong. That is not what you want. @BobPicciano on #theCUBE

Building a platform for next generation solutions that are insight-empowered. @BobPicciano on #theCUBE

Big Data is not about getting more data in a bigger bucket. It's about getting insights from a wider variety of data. @BobPicciano on #theCUBE

@dvellante: Quwestion for @BobPicciano How much of the analytics stack is IBM going to open source?

What about the questions that analysts don't know to ask? Watson Analytics lets them combine disparate data types & derive insights powered by machine learning. @BobPicciano on #theCUBE

we have a tremendously important technology lead in cognitive. We have been working in a determined way to make cognitive valuable for different business verticals. @BobPicciano on #theCUBE

Digital intelligence means how do you illuminate that dark data in a way that brings business value. @BobPicciano on #theCUBE

In many companies mobile strategy means delivering a unified experience over different channels. But that will be much more valuable when they can derive value from the data they can capture from those channels. @BobPicciano on #theCUBE

Analytics is not a small business growing fast. It's a gigantic business ($17B) that's growing fast (20%/qtr). @DVellante on #theCUBE

I'm proud of the work that the team has done to create industry services to provide consumable insights. @BobPicciano on #theCUBE

Love the Bob Picciano interview right now on #theCUBE - #1 in big data analytics

Partnership with Twitter is huge for IBM

Some of that journey started just a year ago here with the Twitter announcement. Allowed us to apply new analytics to extract insights from brand data. @BobPicciano on #theCUBE

Putting that together in inside cloud services to make them available to power new solutions our partners will develop. @BobPicciano on #theCUBE

One good example is the work between IBM & Box codeveloping a platform to take collaboration to work to create new value. @BobPicciano on #theCUBE

Developing new analytics, new workflows around case management & new ways to extract knowledge from unstructured data. @BobPicciano on #theCUBE

Bob Picciano is executing #bigdata gr8 #theCUBE insight interview

Dark data is interesting angle does he mean data not used or bad data? @dvellante can you elaborate

weather company feed helped with race

@DaveHasse is an ultra-cyclist who last year was in a non-stop race across America. IBM monitored his performance, the weather ,etc., to coach him for the perfect race. @dvellante

#daveHasse - so well instrumented in 3K mile bike race that was able to finish 1 full day faster. 1/2 racers didn't finish

It was a great race. I finished second -- 8 days, 20 hours, a day better than his best previous time. @DaveHasse on #theCUBE

The Sonorian Desert took racers out. We monitored his core temperature to keep him in optimal performance. @bartond on #theCUBE

@IBManalytics allowed them to change race plan - sleep vs. race, etc #theCUBE

all the data helped drive consistent body temp and optimize race effort

First 100 miles is uphill from the ocean in San Diego. Then you drop into the desert. @DaveHasse on #theCUBE

Monument Valley in Utah was very hot in the day. @DaveHasse on #theCUBE

I would pour cold water over my head, used a sports bra packed with ice to keep me cool. @DaveHasse on #theCUBE

The food comes from my crew non-stop - water bottles with nutrition. @DaveHasse on #theCUBE

dashboard #ibminsight prescribed best city to sleep with choice of 4 hour window where best to stop @davehasse

First sleep was at Flagstaff. Next day we went 26 hours based on weather analysis. @DaveHasse on #theCUBE

#IBMInsight to know best conditions where to rest well in advance of arriving @DaveHasse

We knew the direction of the wind relative to the road & could estimate the amount of boost or hindrance he would get. @DaveHasse on #theCUBE

Our goal was to not be off the bike more than 2 hrs. Over 8 days I got 14 hours of sleep. @DaveHasse on #theCUBE

@DaveHasse modeled "energy" for consistency put into pedaling so inserted predictive analytics to map to different conditions such as hills #theCUBE

We were spot on with weather prediction. We learned along the journey. We inserted predictive analytics to predict what Dave would do on different slopes. @bartond on #theCUBE

He planned to do an even race in terms of power he would generate, but the conditions didn't allow that. he had to add power going up and could coast going down. @bartond on #theCUBE

Our models improved during the race. @bartond on #theCUBE

#IBM got so effective at predicting performance they new where and when @DaveHasse would be long before he got there #theCUBE

Several racers wanted to use this. An IBM employee was in the race. But one of the other racers was making fun of it. He didn't finish the race. @DaveHasse on #theCUBE

Models got so good that they could tweak recommendations like when, how long to sleep to make sure they would beat key opponent #theCUBE @DaveHasse

At one point they asked me to pick up the pace a little to catch another rider. I felt confident in our decisions because of the data. @DaveHasse on #theCUBE

Outsmarted the wind! Knew when to eat and rest! @DaveHesse

It seemed we were always on perfect weather conditions other than heat. We never had a head wind. @DaveHasse on #theCUBE

attached devices for heart rate, pedaling speed via Android cell phone, bring in Weather data, predictive model to recommend rest points, sent back to Bluemix dashboards @DaveHasse

Had a bio-harness on him. The data was consolidated on his Android phone. @DaveHasse on #theCUBE

Delivered the analysis to a dashboard on the team's iPhones & iPad. @bartond on #theCUBE

Looking forward to doing it again, better, in June 2016. @DaveHasse on #theCUBE

A partner in the Watson ecosystem has created coach Watson. We will put that on @DaveHasse 's side next year. @bartond on #theCUBE

We also will use an O2 sensor to be sure he is doing arobic exercise, not anarobic. Those two things should give us 10% more next year. @bartond on #theCUBE