Artificial intelligence is transforming all industries and the recent partnership of the Fashion Institute of Technology (FIT), Tommy Hilfiger, and IBM is a prime example of the possibilities. I am at NRF 2018 and IBM is showcasing this partnership at their booth #1922.
The design incorporates a special thread embedded in a futuristic, removable plaid panel with IBM’s Watson’s Tone Analyzer. It can then respond in near real-time to the sentiment in a customer’s social media accounts. Read more about the process and what Grace did to create this remarkable jacket. This is a really good example where artificial intelligence augments designers in the creativity process.
Taking our innovative spirit further, we partnered with IBM and the Fashion Institute of Technology on the Reimagine Retail project to explore how artificial intelligence (AI) can identify upcoming trends faster than industry insiders to enhance the design process. The goal was to equip the next generation of retail leaders with new skills, and bring informed inspiration to their designs with the help of AI. – link
To learn more about what Tommy Hilfiger did you can visit booth #1922 if you are at NRF or you can read this article that goes into detail the process Grace and FIT took in creating this jarket or you can read this blog post by Avery Baker, CBO, Tommy Hilfigerfor, a shorter version.
In this video I show how much money a company will save moving to version 9 of WebSphere Commerce. As you have probably heard, version 9 was a massive undertaking and the re-architecture of the platform to a Docker container model will definitely benefit your IT team and your operations cost. Watch this video and get a high level view for how this new platform will impact your team.
Explore the latest version of IBM WebSphere Commerce here.
A small shout out to my colleague Daniel Dunn who wrote an excellent article about how IBM has used technologies like Calico for tenant isolation and how a vault model is used to secure and store sensitive information. The article covers “the vault”, encryption, and secure connections and gives some great examples of what IBM is doing in all three of those areas. Great article and a quick read to understand how this first class SaaS platform secures your information.
With Watson, you have an analyst watching over your campaign performance so you can focus on the big picture. By reviewing complex data and bringing the results right to your fingertips, Watson helps you come to conclusions faster than ever before, giving you the ability to reach your full potential.
I get a lot of questions from customers for how they can enhance their applications with Watson API’s. Well, as part of the Cloud Application Developer Certification Preparation course on IBM’s developer site, is this great video with a high level view on how you can do this:
In this video I tell a story about the Aurora company and walk through their new summer Albini dress campaign. The Aurora team uses the Watson Customer Engagement platform to drive a successful campaign. The story centers around Katie, an avid Aurora shopper, where the Aurora team has visibility into activity across all channels and drives customers into their brick and mortar stores to drive additional sales.
Watch how the Aurora team uses the Watson Customer Engagement platform to execute an email campaign and learn about their shoppers across their web site, mobile application, call center, and stores.
This is good news for IBM and while Gartner mentions Watson Commerce Insightsfor predictive merchandising and predictive search, I am not sure why it doesn’t include products like Dynamic Pricing – which is clearly stated as a primary initiative for most B2B sites by 2018. Analytic’s and augmented intelligence is a big area IBM is investing in and it ties closely with managing customers for both B2C and B2B sites. As stated in this report, by 2020, smart personalization engines used to recognize customer intent will enable digital businesses to increase their profits by up to 15%. I don’t think products like IBM Predictive Customer Intelligence or Watson Customer Experience Analytics are well represented in this report and by next year there will be even more augmented intelligence features in the IBM suite. At some point, the Digital Commerce quadrant has to recognize these add-ons as a base part of doing business in this report and this year they should have clearly been listed as strengths in the industry.
Another area I think the report falls short on is order optimization. With more and more companies moving to buy on-line pick up in store or more specifically buy on-line ship from store, you are going to see more demand for order fulfillment optimization, something Watson Order Optimizer covers very well.
Some key messages from the report IBM is focusing on:
IBM is a Leader, based on its product functionality, ability to support B2C and B2B business models, and its supporting ecosystem of applications that connect to its commerce platform across the globe.
IBM maintains an extensive set of partners in the digital commerce ecosystem, which was highly thought of by its reference customers — all scored it “very high” or “outstanding.”
By 2018, 40% of B2B digital commerce sites will use price optimization algorithms and configure, price and quote tools to dynamically calculate and deliver product pricing.
By 2020, 25% of leading online sellers will have enabled first-generation “commerce that comes to you” capabilities.
By 2020, smart personalization engines used to recognize customer intent will enable digital businesses to increase their profits by up to 15%.
Are you tired of the internet price wars? Are you sick of managing prices across all of your channels and competing with the likes of Amazon and other retailers? Do customers browse your brick and mortar store and use smartphone applications like RedLaser and QR Code scanners to scan your bar codes only to find it cheaper on the internet?
If so, then you may want to see how Watson and Dynamic Pricing can help you stay competitive across all of your channels. Here are some of the key benefits you get from IBM Dynamic Pricing:
Re-price in real time
Bring together online and offline prices
Sense and react to out-price competitors
Empower business users
Best of all, you get intelligent pricing at digital speed while getting competitive data in real-time enabling you to create customized strategies using product groups and rules. You can also schedule pricing strategy run times and it all quickly integrates with the IBM Digital Commerce platform.
Watch this video below to see how it works or go directly to the Dynamic Pricing page to read more about this cool new product.
Tagging digital content is time consuming for a person and very hard for a computer. Who remembers when Flickr’s auto-tagging was called out? (read more here) So needless to say its not a trivial task, unless you are Watson…
I am fascinated by this technology. To be able to actually pull apart an image and apply tags that describe what is in the image is amazing. If you think about the applications here, they are endless. I was thinking about how I constantly look for images on my Mac. I have over 10,000 photos on my mac and the only way I can find them is using the map if I recall where I took it or I remember the time frame and find it based on date. Imagine if you could do a search based on tags!
Since Watson Content Hub(WCH) does the auto-tagging for me I decided to whip up a short video showing the power of this amazing feature using WCH. Remember, you could always build your own application like this article explains using OpenWhisk and the API’s on BlueMix. To get you started, below is a screen shot of the Watson API’s on BlueMix:
Now for the video. Like I mentioned, I was really just playing around with various photos in my collection to see how well Watson did at tagging. All in all, I am very impressed…
Where do you think this technology is going? Will you expect your photo albums to have this ability in the future?