Scott Brinker: “Martech stack utilization is a misguided metric… (when it’s disconnected from value)”. This is certainly true. Products/tools in your stack usually have many features, only a subset of which actually provide value for your needs. Identifying and
focusing on those features can save resources and provide more accurate ROI calculations. Read More
4 questions retailers need to ask about augmented reality
It seemed like AR was poised for rapid adoption (beyond Pokémon Go) a couple of years ago when apps started appearing from Ikea and others. IndeedI thought so. There has certainly been a lot of activity and some very useful applications, but as usual the use-case specifications, cost justifications, integrations, and learning curve take a time-toll. Bain & Company has some good advice for execs creating or reviewing a plan. Read More
Google announces a new Glass augmented reality headset for B2B
Much of the advice in the Bain article we reference above is also relevant to non-consumer AR applications. Whether B2B AR deployments are ahead of B2C or not, project planning should be informed by research into both. ROI calculations will be very different, but technologies and user experience design considerations largely overlap. Google Glass was a consumer flop but their Enterprise Edition is making some progress and what they are learning is valuable. After all, employees and professionals are consumers too. Read More
Can we trust machines that sound too much like us?
David Weinberger raises a good point. He is not asking whether we can trust machines. He is asking whether we want to loose the trust signals we get from talking with humans when we can’t tell the difference between machine and humans voices. He also wonders about the efficiency and how our preferences will evolve. Human sounding machines will not always be the right choice. Read More
The Gilbane Advisor curates content for content, computing, and digital experience professionals. We focus on strategic technologies. We publish more or less twice a month except for August and December.
For all the promise of voice and chatbot applications, widespread adoption has been limited to fairly simple use cases, and even then getting the usability and appropriate scale right is a learning experience. This shouldn’t be surprising given the dependence on natural language processing. Nonetheless, the potential for well-designed voice and chatbot experiences is large. Erin Abler can help you understand why some organizations have been successful, and how you can get started with a business case.
B205. Making the business case for voice and chatbot experiences
Conversational voice and chatbot experiences are rapidly becoming the new norm in our houses, cars, and even some workplaces. Getting your news, weather, and driving directions is now as easy as asking for them aloud. But if you’re wondering what the business case is, you’re not alone. For many product owners, strategists, and marketers, it’s still hard to envision a viable way to get started. We work with clients every day who’ve taken on this exact challenge and found success. Through real-world examples, this presentation will show you how to identify and pursue the right opportunity for your next conversational design project. We’ll cover why people choose conversational interactions over other digital experiences, how to uncover legitimate use cases for your business, and how to avoid common stumbling blocks in the design and development process. You’ll walk away knowing how to identify a compelling conversational experience for your brand, and be ready to navigate the challenges and opportunities of working with emerging conversational interfaces.
Tuesday, April 30: 4:15 p.m. – 5:00 p.m.
Erin Abler Principal Conversational Designer Mobiquity
Nielsen Norman tries to reconcile the poor usability of voice assistants with their high adoption rate. TL;DR users stick with the simple. Read More
22 blockchain-based martech companies you should know
Obviously this is an early market, though with lots of activity. This article provides some good advice and a useful look at some of the early use cases for marketers and the vendors involved in each. Read More
The “developer experience” bait-and-switch
Innovation, software, and disruption
The actual title of Benedict Evans’ post is “Tesla, software and disruption”. But, as Evans suggests, the piece can be read as a valuable, and especially interesting, case study that is broadly applicable to many industries and markets. The more complex the product, the more hardware and software components to integrate, or replace. Disruptions happen up and down supply chains, and across supplier business models, and are not necessarily easy to predict. Read More
Call for Speakers: Gilbane’s DX conference 2019
Gilbane’s Digital Experience conference focuses on DX strategies, technologies, and practices for marketing and the workplace. We are especially interested in speakers from organizations that have implemented, or are planning on adopting, new technologies or practices for digital experience / transformation initiatives.
The Gilbane Advisor curates content for content, computing, and digital experience professionals. We focus on strategic technologies. We publish more or less twice a month except for August and December. See all issues
May 19, 2017 / Frank Gilbane / Comments Off on Gilbane Advisor 5-19-17 — e-commerce, meta-platform, summarization and ML, design
E-commerce: What China reveals about the future of shopping
China’s e-commerce market is the world’s largest and fastest growing. It is also more mobile and more integrated with relevant platforms than those in the West, allowing for smoother customer experiences. This goes beyond WeChat e-commerce capability, the envy of western messaging platforms.
There are reasons eastern and western e-commerce may continue to evolve differently. But there is a lot to learn from China’s experience. BCG and Alibaba dig in. Read More
Digital assistants drive new meta-platform battle
Bob O’Donnell riffs on the intersection of digital assistants, the voice interface, and platform value. This weeks’ keynotes at Google I/O, and last week’s at Microsoft Build both provide useful context to several of O’Donnell’s points.
… digital assistants … have the potential to completely devalue the underlying platforms on which they run. To put it succinctly, if I can use, say, Alexa across an iPhone, a Windows PC, my smart home components and a future connected car, where does the unique value of iOS or Windows 10 go? Out the door… Read More
Improving summarization with machine learning
That this would happen should be expected, especially after the dramatic improvement to machine translation due to ML. MIT Technology Review’s Will Knight reports on developments at Salesforce following their acquisition of MetaMind, which is what we point you to below. But you might also be interested in the more technical description of how the algorithm works — at least scroll down past the technical paragraphs to see useful sample results. Read More
Mobile First, Desktop Worst
Designing for an optimal user experience is extremely difficult even with a single screen because of the variety of media, layout, and use cases. Multiply the number of screens by n, and it seems like an impossible task. On top of this fiendish complexity, there are compromises to be made between developer objectives and brand directives. No wonder design is often dumbed down to be simply useable across devices rather than optimal. This may not be a solvable problem, though better tools, perhaps informed by machine learning, will certainly help. In the meantime, it pays not to expect too much from simple approaches. Read More
Gilbane Digital Content Conference Call for Speakers Open
Content and digital experience technologies and strategies for marketing, publishing, and the workplace.