Description: Musings on Data, AI and Machine Learning
Machine Learning and AI are being infused into more software products than before in 2022, and there is, without a doubt, a lot of momentum around the language models, and generative machine learning for text, images, music and many other kinds of data. There is a distinct difference between the useful search, AI, ML and data algorithms being used for most use cases, and the cutting edge of advanced ML as it were, and this means there are upsides for new adopters of the more advanced models. Along with thes
How does one characterize broadly the needs of the users of AI products in 2022? While it is clear that the AI product landscape is evolving and changing, some things do remain common, constant needs. A full fledged product is a requirement. Any AI product team should at the very least be able to deliver a user-facing component and other components, and have the ability to deliver and maintain the application on a frequent basis. What this means for the tech team building and developing the product, is that
Another important need in AI product development as of 2022, is to imagine the user’s experience fully and use this to drive the development process. What constitutes value for the end user, and how will AI or data capabilities deliver this? How are they inclined to obtain this value through your app or product, and what interactions would make sense in this context? Some of these fundamental questions, and some of the common guidelines on building responsive interfaces can help build a compelling experienc