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Designing and Selling Enterprise AI Products [Worth Paying For]

My 10 Most Popular Podcast Episodes of 2024 (for Experiencing Data)

“Data Products” and AI / Data Product Management May be Doomed—Here’s Why

I tend to feel like design thinkers can be born from any job title, not just “creatives“ — even certain types of very technically gifted people can be really good at it. 🎧 here:

If your IP is that special, but also complex, it needs the proper UI/UX design treatment so that the value can be surfaced in such a way someone is willing to pay for it if not also find it indispensable and delightful. 🎧: https://t.co/7budSNLk4L #ux #ml

Where the eyes glaze over is when tools are mostly about evidence generators, and we just give everybody the evidence, but there’s no actual analysis about how [this is] helping me improve my life or my business. 🎧 :

It sounds like a benefit, but drilling down for most people into analytics stuff is usually a tax unless you’re an analyst. 🎧: https://t.co/dTDRkuXyAw #analytics #dashboards #ux #datavisualization #design

I have a framework for user experience design for analytics called CED, which stands for Conclusions, Evidence, Data… The basic idea is straightforward: lead your analytic service with conclusions. 🎧: https://t.co/dTDRkuXyAw #analytics #ux

Do the right amount of planning work upfront, have a strategy in place, make sure the team understands it collectively, and then you can do the engineering using #agile. 🎧 to #ExperiencingData Podcast here: https://t.co/ZJivwjFD8y #dataproducts #DataScience #design

The most important thing is to know that the #UserExperience is the perceived reality of the technology that you built. Their experience is the only reality that matters. 🎧 to #ExperiencingData Podcast here: https://t.co/ZJivwjFD8y #dataproducts #agile #design #ux

Teams can get lost in following the [#Agile] process and think that as long as we follow it, we’re going to end up with a great #dataproduct at the end. 🎧 to #ExperiencingData Podcast here: https://t.co/ZJivwjFD8y #DataScience #product #design

10 Things Founders of B2B SAAS Analytics and AI Startups Get Wrong About DIY Product and UI/UX Design

If you don’t make an impact on the individuals, you’re not going to make an impact on the business. No adoption = no value. #dataproducts #design #ux #analytics #ExperiencingData 🎧

The first step to business value is the hurdle of adoption. An end user has to be willing to try as well as care about your solution before you ever will get to business value. #ml #machinelearning #MLUX 🎧

The term #dashboards is almost meaningless today, it seems to mean almost any home default screen in a data product…The terms are all over the place. #dataproducts #datascience #design #ux 🎧

Leaders who want their #datascience and analytics efforts to show value really need to understand that value is not intrinsically in the dashboard or the model or the engineering or the analysis. #dataproducts #dashboards 🎧 https://t.co/gL1v7yHqHq

It’s really important that [data product managers] are not just focused on deliverables...[they] summarize the problem space for the entire team, they define a strategy...that clarifies the direction the team is going in. 🎧

“The whole point of an embedded analytics application is that it should look and feel exactly like the application it’s embedded in, and the workflow should be seamless.” - Zalak Trivedi (@zalak_t) 🎧: https://t.co/ixNPDdKVVi #ai #analytics #bi #dataproducts #innovation

There is nothing ‘Business’...about forcing users to parse gigantic data tables with 10-30 columns of data and zero software-based Conclusions. With CED, we have to stop giving users what they ask for on the surface. 🎧