Artificial Intelligence

In this fifth part of the series ( here is the last part) , I’ll explore when and how to explain the actions of your AI, the data it relies on for decision-making, and the level of confidence in the results it produces. AI-powered systems does not produce cent percent accurate results and  operate on […]

A mental model is how we think something works and how our actions affect it. We create these models for everything we deal with, like products or places. They help us know what to expect and what value we can get. When introducing new technology, it’s important to explain its abilities and limitations in stages.

To enable predictions, AI-powered products need to instruct their underlying machine learning model to identify patterns and correlations in data. This data, known as training data, can include collections of images, videos, text, audio, and more. You can leverage existing data sources or gather new data specifically for training your system. For e.g., you can

This is the Third Article in ‘You+AI” series. Last article can be accessed here To effectively harness the potential of AI, it is essential to align its strengths with real user needs and define success through thoughtful consideration. Let’s delve into key considerations for identifying suitable user problems, augmenting human capabilities, and optimizing AI’s reward

As announced via my last article, this is the beginning of the “You+AI” series, which has 25 parts discussing how AI can be used in making products and decisions to get the most benefits. These 23 guidelines are helpful for product managers, consultants, and others who are new to AI and want to use it

Last year has been a year of AI, but this year will be the year when market will be flooded with AI based products. Unlike other design principles, whether it be UX /Design, Enterprise or highly complex Realtime systems, AI products will have an altogether different design and Development principles, methods  and frameworks . Through