New course available: Headless Commerce for IBM Digital Commerce – Developer

A new course has been published for business partners to learn how to use the IBM Digital Commerce API’s to create a single page stand-alone (headless) store front using Angular.

This course contains 9 modules that cover the following topics:

1.  Setting up your Headless Commerce Project

2.  Authentication

3.  Creating a Menu

4.  Category Details

5.  Product Details

6.  Create Assessment Questions

7.  Compose Course Description

8.  Finalize Provisioning Process

9.  Onboard in Learning Portal

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Guess who boosted in store foot traffic by 31% with IBM’s Watson?

Everyone loves to hear about solid returns when using new technology. The sandwich chain, Subway, is more than hitting its advertising mark by including weather patterns in its arsenal of data to pin point targeted ads to its customers.

The Subway sandwich chain boosted store traffic 31% by changing its ads to correspond with weather shifts. The company used artificial intelligence (AI) technology developed by International Business Machines called Weatherfx Footfall with Watson, a real-time signal-based targeting tool, to create dynamic ads for a foot-long sandwich promotion based on weather patterns, per an announcement. – link

Subway also saw a 53% reduction in campaign waste by having a more targeted approach using this method.

Two out of five (41%) CMOs surveyed by IBM said cognitive computing is going to have a huge effect on their companies in the next three to five years, behind cloud computing (59%), mobile solutions (64%) and Internet of Things (62%). – link

To make sense of such vast swaths of data, the solution uses AI—including machine learning and advanced cognitive computing—not only to ingest and interpret this information, but also to enable these triggers to continuously self-adjust as weather conditions change (link).

Check out the full article on Mobile Marketer.

Competitive markets demand competitive pricing

Are you having gross and net margin pressures in your industry? Having a hard time keeping pace with the competition? Take a look at this great interview Natalie Lamb, Vice President, Europe – Watson Customer Engagement, has with Paul Rodford, Finance Director at the Southern Cooperative, and learn how Paul and his team uses IBM’s Price Optimization offering to help them compete in a very competitive market.

Teaching Watson Baseball Cards Part 2 – Team recognition

In this video I extend my visual recognition models to include more samples and now two teams. Let’s see how the results are with over 100 samples in each class identifier.

Video: Build a bot in 6 minutes with IBM Watson Conversation

Really good video and tutorial from Chris^2 about building a Watson Chatbot. Great job guys!

Taking advantage of user generated content with Stackla and Watson Content Hub

In this episode of Partner Connect I introduce Stackla – a content discovery engine focused on user generated content. I also share a prototype video created by my colleague Rob Enright who does a fantastic job showing how easy it is to use Stackla and integrate it with Watson Content Hub.

IBM’s Watson: Observe, Interpret, Evaluate, and Decide

IBM-Watson_logoWatson is a mystery to many and the casual observer thinks of Watson as a contestant on the popular TV game show Jeopardy where the super computer destroyed the human competition. This is one example application of Watson and what it is capable of.

 

Recently, Watson has been used in many industries to help humans make faster and even better decisions – like in marketing, supply chain, and health. A really good article I recently came across does an excellent job explaining in layman’s terms how this amazing technology works.

An IBM study found that 80 percent of the data out there — texts, tweets, blogs, articles, videos and even recorded sounds — cannot be understood by traditional programmatic computing. Watson is different: It translates this information into a form that is legible to its systems, and can therefore provide analytics based on these data points. – link

In case you haven’t seen Watson on Jeopardy, you can take some time to watch this video to see it in action. Just like Watson in for other industries, it was “taught” how to answer these questions. Processing the Jeopardy answer as described in the above article: Observing, Interpreting, Evaluating, and ultimately, Deciding.

Here are a few more areas where IBM is using Watson to help out different industries:

IBM® Watson™ Marketing Insights evaluates customer behavior by analyzing customer data that marketers provide. The results enable Watson Marketing Insights to predict likely changes in brand engagement, risk of leaving, and customer value. – link

IBM® Watson Commerce Insights empowers online and retail merchandisers, category managers, and marketers to manage their omni-channel business and customer engagement, both in-store and online. It is compatible with commerce, order management, and digital analytics platforms, giving broader visibility to business performance. – link

IBM Supply Chain Insights leverages Watson cognitive technology trained in supply chain to provide comprehensive visibility and insights across the entire supply chain. – link

IBM Watson Order Optimizer helps Omni-channel fulfillment practitioners in Retail leverage cognitive science to better understand their customers and drive real-time action. Through insight and analytics, they can make decisions, take actions, and build experiences that meet customer expectations and drive profitable business across digital and physical store channels. – link

Many of these offerings are represented in two video demonstrations my team put together to show how these solutions can help a B2C and B2B company operate with amazing efficiency. These are end to end demonstrations that show the breadth and depth of the Watson Customer Engagement platform.