Machine Learning Lifecycle, Part 1: Deployment
In this multi-part series, the author begins at the final stage of the machine learning lifecycle: deployment. Explore key challenges, deployment patterns, and degrees of automation.
Blog Posts: AI
The Anatomy of Agentic AI
IIA clients want to know more about agentic AI. This article elaborates on the multi-agent system and how it operates
2024 AI Consensus: Approaches and Outcomes
IIA Roundtable Peer Insights
Read the key takeaways from IIA’s roundtable discussion on how companies approached AI in 2024 and their key challenges moving forward.
Change Management and AI
IIA Roundtable Peer Insights
Read the key takeaways from IIA’s roundtable discussion on change management and AI.
Balancing Act: AI, Automation, and Human Centric Work
IIA Roundtable Peer Insights
Read the key takeaways from IIA’s roundtable discussion on balancing AI, automation, and human-centric work.
NLP and Value Creation with IIA Expert Ritu Saxena
Breakthrough Conversations
Discover how natural language processing is transforming the pharmaceutical sector and other industries with Ritu Saxena's expert insights.
Building and Leading AI Teams
RAN Roundtable Peer Insights
Read the key takeaways from IIA’s roundtable discussion on building and leading AI teams.
Integrating AI into Your Data Strategy: RAN Roundtable Peer Insights
In a recent roundtable, data and analytics leaders discussed the integration of AI into existing data strategies. Here are the key themes and takeaways.
For Business AI, Stick to the Fundamentals More Than the Hype
The evidence is in, businesses need to take a disciplined, back-to-basics approach focused on fundamentals like data quality and classic ML techniques before considering glittering advances like generative AI.