Agentic AI

a whole lot of thoughts nowadays with the arrival of AI and the conversations around AI. we move into an era where artificial intelligence just isn't just assisting but deciding on our...

, when combined with analytics products, can transform into powerful tools for supply chain optimisation. This quote is from a plant director who contacted us for the implementation of an algorithm to enhance their Master...

that truly work in practice just isn't a simple task. You must consider find out how to orchestrate the multi-step workflow, keep track of the agents’ states, implement essential guardrails, and monitor decision processes...

Context using Large Language Models (LLMs), In-Context Learning (ICL), where input and output are provided to LLMs to learn from them before handling the following input, has proven to be very effective in guiding...

mostly a It’s not essentially the most exciting topic, but an increasing number of firms are being attentive. So it’s price digging into which metrics to trace to really measure that performance. It also helps...

my stuff, then you realize that not too way back, I wrote a chunk concerning the Model Context Protocol (MCP)—explaining what it's, how it really works, and even walking you thru constructing your...

a technique to standardise communication between AI applications and external tools or data sources. This standardisation helps to scale back the variety of integrations needed ():  You should use community-built MCP servers whenever you need...

the world of monetary services, Know-Your-Customer (KYC) and Anti-Money Laundering (AML) are critical defense lines against illicit activities. KYC is of course modelled as a graph problem, where customers, accounts, transactions, IP addresses,...