Developing a web site on Watson Content Hub

We just published a brand new step-by-step guide for creating your own site on Watson Content Hub.

The IBM Watson Content Hub Trial and Standard editions include features that help you create websites, and include a pre-installed fictitious sample website “Oslo. Oslo is a responsive sample website that illustrates what you can create by using Watson Content Hub. You can use the sample site as a starting point for customizing your own website. Work with your team to develop a website that will engage customers and drive business to your site. Follow this roadmap to get started with building and developing your own website with Watson Content Hub Standard edition. – link

The great news is the Oslo sample site is not only responsive but we also provide two samples of it, one written with React, Angular, and  Vue – which are all available for download from within the article from GitHub.



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.

Watson Customer Engagement is hiring SaaS sellers!

If you think you have what it takes to be part of one of the best teams in the industry then take a look at this position below and apply today!

SaaS New Account Specialist – Financial Services Marketing/Commerce

Are you a self-starter, a go-getter and a deal maker?  Does influencing and challenging CXO’s, while selling Financial Services transformational solutions excite you?  In IBM Watson Customer Engagement, you’ll find a culture that rewards such entrepreneurial spirit, within one of the world’s leading brands.  We are looking for talented, high-energy individuals who share our passion for success, and want to help IBM Watson Customer Engagement develop our North America Marketing and Commerce Solutions brand.

Click here to apply!


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.

Moving from WebSphere Commerce v7 FEP8 to v9

I have gotten a lot of requests to talk about this with partners and customers. As of today, there is a nice article in the Knowledge Center you can get a lot of questions answered with regard to moving from v7 directly to v9.

Take a look at this page to see how to do it.


Come and like our Watson Customer Engagement Facebook page!

Filled with some awesome videos and content to learn about how Watson is changing the eCommerce landscape. From Marketing to Commerce to Supply Chain – Watson is changing the way we think about an end to end eCommerce solution.

Click here to see all of the videos and content on our Facebook page.

Screen Shot 2018-02-01 at 10.01.29 AM.png

Why omni-channel is still important

I have been seeing a lot of fud going around on LinkedIn and other places downplaying the importance of omni-channel and touting things like AI is here and eliminates the need for an omni-channel focus. The problem is, if your goal is to “move beyond omni-channel and focus on customer centricity” you simply can not do it properly without omni-channel.

Let’s start by defining what omni-channel even is. Omni-chanel is having a consistent brand experience for a customer across all channels. The customer is “known” across all channels, and this means all channels are accessing the same data – either through micro-services (API’s) or through feeds (hopefully the latter). A platform like Watson Customer Engagement enables this diagram to come to life:

Omni-channel data

This means that each channel is accessing the most up to date data in a consistent way so the customer is “known’ to each channel. Whether they are on the web or mobile device shopping, calling into the call center, or speaking with a store associate – they are “known” by each of these channels so they can be intelligently marketed to and referenced (like order history, current orders, etc).

I highlight this exact story in the recently published “a Watson Customer Engagement Story: Omni-channel” video I published on my channel. It’s a quick 12 minute story but well work the time to watch.

a Watson Customer Engagement Story: Omni-channel