IBMInsight

Seize this Moment
How can you knock down barriers to data access so you can anticipate and respond to opportunity?
   10 years ago
#ibminsightSeize this MomentHow do you leverage cloud and mobile in an Enterprise Content Management strategy?
IBM World of Watson
@marcushearne @BigDataGal @teddy777 @milesaustin Q10: What kind of advanced skills does an organization need to make use of Watson Analytics?
Lillian Pierson, PE
All a user needs is a basic skill level in using something like Excel speadsheets... nothing more.
Miles Austin
A10: "The goal for IBM is to enable and encourage the use of sophisticated analytics while lowering the technical barriers," http://www.ecommerce...
IBM's Watson May Change the Face of Business Analytics
IBM on Tuesday announced Watson Analytics, a natural language-based cognitive service designed to provide businesses with instant access to powerful predictive and visual analytics tools. It runs on desktop PCs and mobile devices. Watson Analytics au...
Miles Austin
A10: By using visual storytelling and predictive analysis, the power of this service is in its ease to learn what your data has to offer.
Theodore Angelus
#WatsonAnalytics would ease the amount of technical skills and data grooming required, making predictive analytics easier to acquire and use.
Miles Austin
A10: Designed as a self-service tool, the primary skill you need is to know what you are trying to understand. Insight for the untrained might be the most impactful.
Aylee Nielsen
Do we know approximately when the Beta will be made available to those who signed up?
Theodore Angelus
#WatsonAnalytics will make data analytics and business intelligence (based on big data) more accessible to anyone in the enterprise who needs it. It can help “bottlenecking” in a big way!
Marcus Hearne
Bottom line, bring domain knowledge, be that marketing, sales, HR or even parenting (I'm going to use it against my kids grades). Watson Analytics will do the data science.
John Furrier
the culture question around open data - meaning getting access and making available data sources
Ally Klopsch
A10: None. The beauty of #WatsonAnalytics is that it automates the steps of data access and refinement, predictive analysis, and visual storytelling.
Nada MacKinney
THE key ques for #midmarket companies with fewer tech resources & lower tolerance for complexity #ibminsight
Jeff Frick
@BigDataGal > How do you define "basic excel" skills? pretty high variability there.
Callie Summers
WA is seriously transformative in enabling small and mid-sized businesses to take advantage of the data they possess and draw actionable insight!
Jayanta Banerjee
I believe there's no advance skill needed at all. It's analytics for everyone and you don't need to be a data scientist for using #WatsonAnalytics
Theodore Angelus
@marcushearne I agree the applications are unlimited... Helping companies (and parents) make better decisions.
Callie Summers
@JeffFrick probably "college level" - at least functions, filters, and macros would be my guess.
Ally Klopsch
@JeffFrick Well, I hesitate to go that far...but you said it. Not me!
Lillian Pierson, PE
@JeffFrick lol very true... they should know how to use pivot tables in Excel. That's pretty basic, right?
Jeff Frick
@CallieJ_Summers > Used to be amazed watching my financial analysts friends work a spread sheet, Hands never touched the mouse, and you couldn't hardly keep up with watching the cursor move.
#MadNinjaSkills
Callie Summers
@JeffFrick haha wow! User friendly is relative, but the level of intuition is surely present and the learning curve, forgiving as WA gets to know each business/person/set of data!
Mitch Sanders
Is there planned persistance with datasets and questions uploaded to #WA over time? Can I come back 6 weeks later and build on previous datasets/questions?
Marcus Hearne
There will be persistence. To what degree at GA is not final, but we're keen on making sure any sort of intervention you do to automated data preparation is learned so we don't make the users do it all again with new/similar sets.
IBM World of Watson
@marcushearne Q9: How can customer service departments identify which customers are most or least likely to stay and why?
Theodore Angelus
Similar to HR idea, customer service departments can access which customers are at risk of leaving and why. Then they can intervene before it’s too late.
Jeff Frick
> Figure out which are profitable first. #CutBait
Marcus Hearne
identify those that leave and then determine why or at least get some foreknowledge by looking at what Watson Analytics reveals as associated events and activity. It will be things like long wait times, multiple calls. Use those a triggers.
Miles Austin
A9: Learn which customers are too costly to do business with and have little potential to become profitable.
Lillian Pierson, PE
They can use WA to look at engagement metrics and patterns – the more customers refer new users, return to the site, make repeat purchases, etc…the more likely they are to be loyal and stay…. I love #growth questions! :))
Jeff Frick
@teddy777 > Sure everyone would love to understand the variables there. Heard one story where the elevator data was the source. They could tell by the frequency and timing of elevator action, that a tenant was in trouble.
Marcus Hearne
@milesaustin Very good point. Not every customer should be saved. Doing segmentation in WA can help.
Ally Klopsch
A9: #WatsonAnalytics can predict a present customers' level of risk allowing customer retention programs to target those customers most at risk of leaving.
Callie Summers
@marcushearne and this will help prioritize which ones to exert energy on - it might not be biggest pocket but rather CLV!
Jeff Frick
@JeffFrick http://www.youtube.c... - Elevator Logs - More Valuable than you think
Godfrey Sullivan - Splunk .conf 2012 - theCUBE
Splunk .conf 2012 - CEO Godfrey Sullivan, Splunk, with Jeff Kelly and Jeff Frick "Splunk Enterprise 6 is the platform for machine data for everyone, with pow...
Gary Smith
Will there be a Q&A or FAQ document created from this chat that we can review later? There is too much going on here to keep up with.
IBM World of Watson
Hi Gary - this entire chat will be available right on this page, thanks!
Jennifer Dennis
There will be a transcript of the chat stored on this page.
John Furrier
After this chat the top threads gets sorted and the full conversation is captured by top votes or how it happened in sequence of the conversation
Jennifer Dennis
And make sure to vote for your favorite questions and answers!
IBM World of Watson
@teddy777 & @BigDataGal Q8: How can HR leaders use data to attract candidates with the right skills for the role?
Miles Austin
Companies that measure recruiting well are dramatically outperforming their peers.http://www.forbes.co...
The 9 Hottest Trends in Corporate Recruiting
The corporate recruiting market just gets hotter and hotter. We just returned from a two week tour through Europe and attended the iRecruit conference in Amsterdam, where we had the opportunity to talk with dozens of top recruiting managers. Here are...
Miles Austin
A8: Leverage the new assessment science breakthroughs into the data pool for a greater depth of understanding
Theodore Angelus
HR leaders can now use #WatsonAnalytics to access which employees are at risk of leaving and why.
Then they can intervene with the actions most likely to encourage them to stay.
Lillian Pierson, PE
I imagine they could feed it social network data and then use the insights to know where online to look for prime candidates, based on skills, talents, and interests... like reverse engineering to find prime candidates.
Theodore Angelus
Also, HR leaders can now use #Watson Analytics’ AI to get insights into which candidates might be right for which role based on data that shows success (or lack of success) of previous candidate searches.
Ally Klopsch
A8: With #WatsonAnalytics HR can uncover predictive factors driving employee attrition allowing them to intervene and take appropriate action.
Ally Klopsch
A8: With the same predictive capabilities HR can identify factors to identify talent with the right traits and skills.
Wyatt Urmey
Analytics skills are in particularly high demand in some industries, like insurance http://bit.ly/Ye3jqD #smarterworkforce
Mounting evidence - insurers should focus on ... building a Smarter workforce
A couple months ago, I wrote about the three process areas with measurable ROI among customers, which detailed more specifically some points we made in May, about prioritizing the building of capab...
{([ Ryan Boyles ])}
Can you say anything about using #WatsonAnalytics in IBM's #IoT Cloud on #Bluemix? Inquiring developers want to know!
Marcus Hearne
Nothing concrete or a building of lawyers will probably land on me :-)
Nada MacKinney
@marcushearne Oh now that made me smile Marcus.
{([ Ryan Boyles ])}
ha ha ha. i understand. hoping to learn more from the team on the ground at dev@Insight next month
Marcus Hearne
What I can say is that we're very keen to make Watson Analytics capabilities available to a much wider array of IBM offerings and offerings built by partners. The how is TBD.
Beth Jarvis-Maude
#ibmpartners can attend BP Summit sessions on 10-26 to find out how the Watson Developer Cloud allows developers to embed Watson’s innovative technology into their software.
{([ Ryan Boyles ])}
@marcushearne @BethJarvisMaude thanks for the info. i'll spread the word.