Agentic AI seems to be talked about constantly and as I’ve talked about in previous articles design patterns matter – same thing applies to AI Agents, design matters. What design patterns, or a least design considerations are there for Agent AI design?
Tag: DataScience
The Blueprint for GenAI Success: Why GenAI Architecture Frameworks and Design Patterns Matter
While mulling over what seemed to be a lack of GenAI frameworks and design patterns last week, this post from Debmalya Biswas dropped into my feed on A Comprehensive Guide to Agentic AI. This post and the accompanying slides are more than the title suggests – they are a great start on a set design patterns and reference architectures – something that we seem to be sorely missing.
How AWS, IBM, Google, and Microsoft Are Shaping the Future of Business (AIaaS)
After completing certifications in the various platforms from IBM, Amazon Web Services (AWS), Microsoft and Google I wanted to take a high level look at what these platforms really mean for organisations. These organisations are offering powerful AI platforms that provide a way to access AI functionality without having to develop and run your own infrastructure and manage your own AI deployments.
There is value in that unstructured data.
For quite some time I have been concerned about the unrealised value in unstructured data – the myriad of Word documents and PDF’s that contain everything from organisational policies to processes and reports (we aren’t talking about video, images and audio in this article). This increasing amount of unstructured data and the ability to absorb it is one of the things that increases the time that new hires take to become effective or means that a policy (if not encapsulated within a system) does not get adhered to.