Artificial Intelligence Blogs
The GenAI Life Cycle
The GenAI life cycle delineates the steps for creating AI-based applications, such as chatbots, virtual assistants or intelligent agents. GenAI (or Generative AI), refers to advanced machine learning systems capable of creating content, such as...
AI Product Owner
As AI seamlessly integrates into more products, a new breed of product owner is emerging – the AI product owner. These new in-demand professionals are like their broader product counterparts but with several interesting nuances that position them...
Managing Generative AI Projects
Not stopping at merely utilizing apps like ChatGPT, many companies are building, or exploring the possibility of building, their own Generative AI bots for internal use as well as for use by their clients. However, since Generative AI is so new,...
What is the AI Life Cycle?
In the rapidly evolving world of artificial intelligence (AI), project management can be as complex as the technology itself. A staggering number of AI projects fail, not due to a lack of technical prowess, but because of ineffective project...
ChatGPT and Data Science Projects
Generative AI, used in Bard and ChatGPT, will provide innovative ways for teams to collaborate and execute projects, transforming the way data science teams operate and interact. In short, as these models evolve, their potential impact on how teams...
Data Science Roles – A Definitive Guide
Gone are the days of a “lone wolf” data scientist filling all the roles in data science. Rather, today’s teams have several different data science roles, each of which executes various functions across the data science life cycle. Each team setup...
Achieving Responsible AI
Machine learning predictive models are often used in data science projects. These models often deliver significant value. Unfortunately, there are many examples of AI (machine learning algorithms) not working as desired. For example, a model can...
