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IBM extends Watson cognitive capabilities to MobileFirst for iOS apps

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As part of a continued partnership with Apple, IBM on Tuesday announced an extension of the MobileFirst for iOS program that integrates Watson cognitive computing technology to bring natural language processing, deep data analytics and more to iOS 10.

Debuted at the World of Watson event in Las Vegas, Watson's advanced APIs can now be incorporated into both MobileFirst for iOS apps and custom-built business software crafted by IBM on a case-by-case basis.

IBM worked to optimize Natural Language Processing, Watson Conversation and other in-house APIs to work seamlessly with the new iOS 10 speech framework, the company said. With Watson, users can interact with apps using conversational language, much like they would a virtual assistant.

For example, service technicians are able to speak to the Find & Fix app to request a schedule modification. The app consequently notifies dispatch and automatically adjusts remaining jobs listed for the day. Additional voice prompts allow techs to ask for suggestions relating to specific problems, adding another degree of hands-free interaction.

"This is a digital assistant for the business — one that creates the next-generation professional experience tailored for enterprise processes," said Mahmoud Naghshineh, IBM's general manager, Apple partnership.

Alongside speech recognition, Watson's cognitive capabilities allow apps to better parse complicated data sets, and are able to "to understand, reason and learn based on deep data analytics."

Examples provided include the Passenger + app, which flight attendants can use to gain insight into a traveler's personality. Diving into opt-in data histories, Watson is able to surface relevant information like a customer's favorite snacks or beverages, a penchant for priority seating or the need for specialized services.

Other examples include the retail centric Sales Assist app, which leans on Watson to gather data from customer databases and product forums to deliver information on a buyer's unique tastes. Financial advisors might also tap Watson's learning capabilities to conduct targeted market research and analysis to furnish investors with bespoke recommendations.

IBM notes Watson mines data only from opt-in databases, an important measure in protecting customer information.

Since Watson is cloud-based, the features unveiled today, as well as upcoming functions, are easily integrated into existing MobileFirst for iOS apps.

Apple and IBM partnered on the MobileFirst initiative last July in an effort to create business solutions built around Apple's iOS platform. Under partnerships terms, IBM handles hardware leasing, device management, security, analytics, mobile integration and on-site repairs, while Apple aids in software development and customer support through AppleCare.

Earlier this week, the companies announced IBM Watson Element for Educators, their first MobileFirst collaboration for education.



16 Comments

MacPro 19845 comments · 18 Years

"I can do that Dave, sorry, I mean Siri"

anantksundaram 20391 comments · 18 Years

Why is Watson not 'consumerized' yet? One would think that there are tremendous opportunities to make a smarter, more informed version of Siri, if all the ads and publicity around Watson are to be believed. Why is it still in the b-to-b realm?

wigby 692 comments · 15 Years

Why is Watson not 'consumerized' yet? One would think that there are tremendous opportunities to make a smarter, more informed version of Siri, if all the ads and publicity around Watson are to be believed. Why is it still in the b-to-b realm?

I'm glad it is for now because if it went consumer, Apple would probably walk away and gain nothing. Or worse, they would cave in and use that data the same way Google does and then there would be no company left willing to protect privacy.

uroshnor 99 comments · 13 Years

Why is Watson not 'consumerized' yet? One would think that there are tremendous opportunities to make a smarter, more informed version of Siri, if all the ads and publicity around Watson are to be believed. Why is it still in the b-to-b realm?

Probably because of a couple of reasons :smile: 
 
1. It doesn't work well in a general sense - just in narrow problem domains.

If Watson was as good in a general purpose sense, as IBM's marketing claims it is, why didn't they use Watson to fix IBM's own (tanking) business ? They've had Watson for years, and IBM still keeps going downhill - modulo a little financial engineering here and there.

2. It might not be architected to have any privacy at a consumer level - IBM has basically zero consumer exposure these days having sold everything consumer off to Lenovo, - they would be trying to spool up consumer outcomes from scratch, and it doesn't make business sense to them (as they don't have a consumer business)