If machines are to keep up with business demand, they must learn to learn. Natural language processing and speech recognition are just two of the more popular sectors in cognitive technology, with Deloitte LLP predicting 95 of the top 100 enterprise software companies will have integrated cognitive technologies into their products by 2020.

Announcing its latest effort to turn its artificial intelligence platform Watson into a business with a standalone offering that supports open-source data management platform Apache Spark data management efforts and analytics, the IBM Machine Learning Launch takes place today in New York where IBM Corp. SiliconANGLE will be there with exclusive interviews from our roving news desk, theCUBE, including:

• Rob Thomas, general manager of IBM Analytics at IBM
• James Kobielus, senior program director of product marketing and big data analytics, IBM Analytics, at IBM
• Bryan Smith, chief technical officer and vice president of Rocket Software Inc.
• Rahul Singal, MD, chief medical officer at Argus Health Systems, Inc. (a DST company)
• Jean-Francois Puget, Ph.D., distinguished engineer, machine learning and optimization, IBM Analytics, at IBM
• And more!

Amidst reports that IBM’s artificial intelligence-powered system Watson was lagging behind the company’s internal targets, the AI platform contributed to one of IBM’s more fruitful businesses in the fourth-quarter, a department accounting for 40 percent of the company’s total revenues. Cognitive computing remains a market of opportunity for IBM, with its own market survey finding 65 percent of early adopters already viewing the technology as “very important” to their success. Another 58 percent believe it will be a “must have” to remain competitive in three to five years.

This week, IBM announced the general availability of its Watson for Cyber Security platform, which went into beta testing in December. The platform has been designed to spot hidden cyberattacks and threats that could be missed by existing security platforms or humans. According to IBM only seven percent of security professionals currently use cognitive tools, but over the next two to three years this number is expected to triple. IBM will be hoping its Watson for Cyber Security platform will be well placed to obtain this increase in business.

Keynote speakers at the IBM Machine Learning Launch include various IBM executives like Rob Thomas, general manager at IBM Analytics; Dinesh Nirmal, vice president at IBM Analytics Platform Development; Glenn Finch, global leader for big data and analytics; and Barry Baker, vice president leading the product strategy and direction for z Systems and LinuxONE.

Other speakers include Mike Gualtieri, vice president and principal analyst at Forrester Research Inc.; Tooraj Arvajeh, chief engineering officer at Blocpower LLC; and Stephanie Mitchko, chief technology officer at Cadent Network (a Cross MediaWorks LLC company).

How to watch theCUBE interviews

There are various ways to watch all of theCUBE interviews that will be taking place at the IBM Machine Learning Launch, including SiliconANGLE TV and YouTube. You can also get all the coverage from this year’s event on SiliconANGLE.

Watch SiliconANGLE TV Live

You can watch all of theCUBE’s exclusive interviews from the IBM Machine Learning Launch live on the dedicated SiliconANGLE TV page.

Watch on the SiliconANGLE YouTube channel

All of theCUBE interviews from the IBM Machine Learning Launch will also be loaded onto SiliconANGLE’s dedicated YouTube channel.

Cubecasts

SiliconANGLE also has podcasts available of archived interview sessions, available on both SoundCloud and iTunes, which you can enjoy while on the go.

Live stream of the IBM Machine Learning Launch

If you are unable to attend the IBM Machine Learning Launch in New York you can watch it online. The IBM Machine Learning Launch Event runs from 2:00 p.m. to 5:30 p.m. EST on Wednesday, Feb. 15.

Register to watch the online launch event and add the details to your calendar. A replay will be available on Feb. 16.

Image via IBM