Artificial Intelligence B2C Plays

AI Consumer Plays

I found an interesting interview from gizmodo with Intel's CTO Justin Rattner (below)

http://tinyurl.com/23wfcos

Rattner highlights Intel's vision of smarter consumer products in the future. What he's really talking about is commoditizing Artificial Intelligence. One thing the Iphone was supposed to do over time was learn the habits of its owner (preferred apps, sites, texting behaviors, etc...), but after owning the Iphone 3G since it came out, I can agree, as mentioned in the article, that it doesn't. In fact, none of the hardware devices I own possess automated personalization functionality.

Imagine picking up your device (Phone, Flip video camera, TV remote, Tablet, etc....) and it already knows who you are, where you are, what your favorite websites are and how to update you, what kind of music to play for you, your schedule, preferred tastes and clothing, the opportunities are limitless...

Rattner also mentions that all the functionalities consumers expect from their devices can't happen in the cloud because there simply aren't enough servers out to support that kind of bandwidth. These struggles have already been seen in some of our large service providers, and will only continue to get worse. Producing hardware with AI functionalities can help pull some of this bandwidth off the cloud and support balance in the network.

How do netoworking companies enable their service providers to keep up with bandwidth demands that are growing exponentially as society leans on mobile communications? Is it worth their time to explore partnerships in this market? Are they too immature in the B2C market to make aggressive moves like this?

What are your thoughts?

Karl

Exectweets » 34 More of the Smartest Things Ever Said About Business and Life

Exectweets » 34 More of the Smartest Things Ever Said About Business and Life:

Inspirational quotes from thought leaders of the past and present. Some of my favorties:

"A wise man will make more opportunities than he finds" -Francis Bacon

"For Business success, do what you do better. And do more of what you do." D.J. Schwartz

"People may not get all they work for, but they must work for all they get." Frederick Douglass

Keep It Simple Stupid - Effective Business Intelligence Management

With thousands of employees, multiple product families, suppliers, manufacturers, and functional processes, what's the best approach of leveraging Business Intelligence tools to run a fortune 500 company?

BI teams are openly accommodating metrics requests from their business partners without understanding the business justification behind it.

The result: Thousands of metrics which over time become outdated, unused, and obsolete. Changes in the business mean changes in objectives and measures of productivity.

A BI solution needs to be flexible, require justification, and align to objectives of the management team. Dashboards and scorecards are supposed to allow management to measure, monitor, and grow their business by making fact-based decisions. Too many times have I seen dashboards and scorecards that host hundreds of metrics which aren't seen by senior management, aren’t used in operational reviews, and cost a ton to maintain and operate.

Keep It Simple Stupid

•Where does the buck stop? Scale back BI solutions to the decision maker level, those who can really make an impact in the business.
•BI team must understand how metrics requests will allow the business to measure, monitor, and grow their business more effectively than the previous model.
•Revisit dashboards & scorecards on an annual basis. Determine which metrics are still in scope/ which aren't, and EOL anything which doesn't have significant impact as a KPI or facilitate the comprehensive behavior change of an organization.

Large organizations tend to overthink things, it's important to take a step back from time to time and think about where the real impacts in the business are made. If you find yourself overthinking a problem just remember K.I.S.S.