Joy Busse
The Power of Design Vision Prototypes in ...

In the dynamic landscape of modern enterprise, the challenges of achieving alignment and progress between teams are all too familiar. In this article, I would like to take you on a journey of VMware’s Tanzu design team, a journey marked by ambiguity, setbacks, resilience, and the ultimate discovery of the transformative potential of design vision stories and prototypes in steering product success and fostering team cohesion.

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The Power of Design Vision Prototypes in Achieving Product Success and Team Alignment
Joy Busse
The Simplicity Paradox: Streamlining Enterprise ...

In the world of enterprise products geared towards an engineering user base, striking the right balance between functionality and usability is paramount for success. To ensure a seamless user experience and quicker time to value, it is essential to prioritize core functionality in the product GUI while reserving advanced capabilities for the API and CLI interfaces. This approach offers numerous benefits for product development and enhances the overall engagement of enterprise users with the product. Let’s look at five tenets of design geared toward realizing the simplicity paradox in your design practice.

The Simplicity Paradox: Streamlining Enterprise Product Design for Savvy Engineers
Application Design, Device Interface Design, Mobile Design, Usability
Joy Busse
"Sorry, I Don't Know This Yet..." An In-Depth ...

In an earlier glossary post, we discussed “VPAs”or Voice Personal Assistants. We thought this topic deserved further analysis considering the massive adoption of devices with “always-on” listening and a responding voice functionality. Considering these rapid developments in the era of voice interactive objects and AI in general, we should ask ourselves these crucial questions. 

  1. How will this affect you, your organization and your products? 

  2. How can your application use these powerful neural networks and machine learning based systems to intuit more precisely what your customer wants? 

  3. How can your customer service improve by leveraging the new forms of networked intelligence in the cloud? 

  4. In a world where touch, type, and swipe have been the primary modes of input, how can voice interaction provide a more natural access to your product? 

  5. How can this be integrated and at what cost?

It’s been 50 years since Stanley Kubrick’s dystopian thriller 2001 was released, where Hal,  the disturbingly calm onboard yet ill intentioned computer, frightened us with the possibility of computers taking over humanity and making decisions that may not preclude destroying the whole lot of us sloppy, imperfect humans.

"Sorry, I Don't Know This Yet..." An In-Depth Analysis of the State of Virtual Personal Voice Assistance
Joy Busse
How Great Web Design Grows Your Business
How Great Web Design Grows Your Business
Application Design, Device Interface Design, Mobile Design, Usability
Joy Busse
Customer Experience: Doing It Right

🔈  We all know that the work doesn’t end when someone becomes a customer; yet, many businesses are not organized to bring the best experiences to their customers. Our client, John Zimmerer at Top Down Systems, recently wrote a series of blog posts analyzing how businesses can avoid pitfalls in the way of a great customer experience. He takes a look at several industry reports and analyses, and discusses how businesses can move from a siloed customer experience approach, which is rather common, to one where the customer experience fits into the very fabric of an organization.

Customer Experience: Doing It Right

AI

Must Know Terms of 2018 (Part 3)

Covered Terms - Machine Learning, Deep Learning, Neural Networks

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Machine Learning -  Machine learning is a field of computer science that gives computer systems the ability to "learn" (i.e. progressively improve performance on a specific task) with data, without being explicitly programmed.

Deep Learning - Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. 

Artificial Neural Networks - Artificial neural networks (ANNs) or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains. Such systems "learn" (i.e. progressively improve performance on) tasks by considering examples, generally without task-specific programming.

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"Sorry, I Don't Know This Yet..." An In-Depth Analysis of the State of Virtual Personal Voice Assistance

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"Sorry, I Don't Know This Yet..." An In-Depth Analysis of the State of Virtual Personal Voice Assistance

In an earlier glossary post, we discussed “VPAs”or Voice Personal Assistants. We thought this topic deserved further analysis considering the massive adoption of devices with “always-on” listening and a responding voice functionality. Considering these rapid developments in the era of voice interactive objects and AI in general, we should ask ourselves these crucial questions. 

  1. How will this affect you, your organization and your products? 

  2. How can your application use these powerful neural networks and machine learning based systems to intuit more precisely what your customer wants? 

  3. How can your customer service improve by leveraging the new forms of networked intelligence in the cloud? 

  4. In a world where touch, type, and swipe have been the primary modes of input, how can voice interaction provide a more natural access to your product? 

  5. How can this be integrated and at what cost?

It’s been 50 years since Stanley Kubrick’s dystopian thriller 2001 was released, where Hal,  the disturbingly calm onboard yet ill intentioned computer, frightened us with the possibility of computers taking over humanity and making decisions that may not preclude destroying the whole lot of us sloppy, imperfect humans.