ibmwow

APIs keep you from having to build from scratch, we've got a suite of them here: http://www.ibm.com/w...

Start small. Pick one API and test it out. Use an App Starter Kit https://www.ibm.com/... and don't feel like you have to start from scratch. There are lots of resources to help.

https://www.ibm.com/... there are many resources available that can be used

App developers ca add cognitive smarts to their code by tapping into the APIs provided by Watson and other cognitive back-end cloud services.

App developers can add cognitive smarts to their code by tapping into rich libraries of NLP, sentiment analysis, image recognition, and other cognitive algorithms on their development platform, which is increasingly a cloud service such as Watson.

here is another source to use IBM Watson services https://www.ibm.com/...

NLP recipe on dW https://developer.ib...

Cognitive chatbots are a huge focus right now in app development. Check out my recent post on this topic: https://www.linkedin...

Cognitive computing is being embedded in the Internet of Things. Here's a recent KDNuggets post by me on that trend: http://www.kdnuggets...

+1 to @jameskobielus We're seeing a lot of innovation w/ #chatbots. Also, virtual agents that automate business to consumer interactions are gaining more and more traction. Customers & businesses seek that seamless experience more than ever.

A combination of artificial intelligence and machine-learning algorithms, in an approach which attempts to reproduce the behaviour of the human brain.

The ability to quickly and easily customize to specific domains - already possible, but will get better and better

Cognitive computing, in the form of deep learning algorithms, is a key enabler for self-driving cars. Here's a post by me on that trend: https://www.linkedin...

Here's my slideshare from early this year on trends in cognitive analytics: http://www.ibmbigdat...
http://ibm.co/1RdwS4...

nature language interfaces to everyday objects will change the way we do things

the @IBMIoT team will be showing how natural language ux works with TVs at #IFA16 this weekend

digital intelligence will transform the way business users will unleash the hidden insights on consumer and product trends from all forms of data, specifically images, news, social, videos etc

Cognitive is the capability of systems to accelerate, enhance, emulate, and automate functions that we normally associate with human thinking.

To me a cognitive system is one that understands, reasons and learns and interacts with the data and world around it. #ibmwow

Cognitive computing refers to intelligent systems that leverage artificial intelligence and big data to do pattern recognition, face recognition, voice recognition, emotion analytics, and other high-level cognitive functions.

A caracteristic of cognitive I wuold add is the interaction with humans and laerning capability behind @ jamesKobelieous @ibmwow

Cognitive systems are designed to work with humans, getting insights from the same types of data we can naturally understand - text, images, audio

Cognitive computing to me means self-learning systems

cognitive computing has the potential to change peoples lives by transforming the way they interact with each other and the world through connected things

Many cognitive systems use unsupervised learning to automate sensing and detection of deep patterns and nuances in complex data sets. Machine learning helps cognitive systems understand new concepts.

Interacting with people is key - these are trained systems, not programmed

a tools which makes life easy for business users to uncover insights on their business which no other traditional intelligence tool can do. A tool which understand the need of user, learns and helps to interact with machine in natural way

One of the things that stands out is that developers are spending less time digging through data and more time on actually using it.

@sonya_hansen Agreed, we're seeing a lot of tools that help pull up insights from the data, sometimes answering questions you didn't even know you had

Traditional model of logic and code taking precedence over data is now changing. Now, applications lead with data that dictates where the logic should go.

Cognitive computing is changing best practices in enterprise app dev by requiring coders, data scientists, and subject matter experts to collaborate in ongoing dev of the core IP: statistical, data-driven machine-learning algorithms

Cognitive computing is ramping up the need for ongoing testing and refinement of data-driven algorithms through sourcing of training data from myriad sources, including crowdsourcing networks.

Here's my recent KDNuggets column on pattern curators of the cognitive era, and their critical importance in this new app dev paradigm: http://www.kdnuggets...

#ibmwow that's right as per analyst conversational commerce is the next big thing for Retail and CPG companies to deliver hyper-personalization experience

Consumers, especially millennials, are coming to expect intelligent cognitive chatbots. The speed, quality, and accuracy of chatbots answers continues to improve, thanks to advances in Watson and other cognitive services.

@jameskobielus here is simple example how IBM delivered the Gift Concierge http://www.mobilecom...

experiencing the real life example how man and machine interaction is transforming the business.

Sunrise in Vegas. After that, the buzz of the first day keynote. After that, pretty much everything else.

I'm really excited that we will have a concourse full of things built with Watson that people will be able to see, hear, touch, etc. And the dev area will have a Beer Tasting App using Watson. Can't complain about that!

for example, infact the secret to faster growth and profitability lies in how soon retailers adopt cognitive- and artificial-intelligence-based marketing, commerce and supply chain solutions to unleash the hidden business insights from their data.

practical experience, even simple but real

Watson Concourse, Watson developer lab

Hands on labs. I hear they've got some exciting things planned...

cognitive applied in robotics

experiencing the Vegas with Watson

We have a full roster of industry influencers, analysts, and other experts participating in WoW this year. The conversations are always my chief takeaway. I learn tons. This will be my 11th straight IoD/Insight/Wow.

here are links to leverage https://github.com/w...

App developers set the goal: why do we need the data? Data scientists find appropriate data sources to fit the goal, and make sure the trained system is delivering appropriately

I feel the best way to get started in cognitive projects to follow IBM Watson Developer Community https://developer.ib...

I think a soft facilitator would come from personal attitude and behaviour: curious, versatile people.

Having a common integrated development environment, such as IBM Data Science Experience, is one key enabler for collab between data scientists and app developers.

Another key to collaboration is for app developers and data scientists to have a common learning grounding in cognitive algorithms and methodologies, especially supervised learning.

Yet another key to collaboration is for app developers and data scientists to be embedded in strategic projects driving key business initiatives.

there is a strong human element needed for AI to help people and not just automate things based on rules