Skip to main content

Trending posts

Assembling MLOps practice - part 2

 Part I of this series, published in May, discussed the definition of MLOps and outlined the requirements for implementing this practice within an organisation. It also addressed some of the roles necessary within the team to support MLOps. Lego Alike data assembly - Generated with Gemini   This time, we move forward by exploring part of the technical stack that could be an option for implementing MLOps.  Before proceeding, below is a CTA to the first part of the article for reference. Assembling an MLOps Practice - Part 1 ML components are key parts of the ecosystem, supporting the solutions provided to clients. As a result, DevOps and MLOps have become part of the "secret sauce" for success... Take me there Components of your MLOps stack. The MLOps stack optimises the machine learning life-cycle by fostering collaboration across teams, delivering continuous integration and depl...
Read more

Building MCP with TypeScript

MCP servers are popular these days. We’ve been researching and exploring a few code repos, some where missing modularity, others just not having pieces that we were looking for… therefore we decided to build our own, simple and foundational that could be a starting point for those trying to solve for the similar things we were… and we decided to share it with the community, via our public github. MCP host, server,data sources     Before we start.  Using Typescript and NodeJS was one of our requirements. This proved somewhat challenging because I don't code as frequently these days due to my leadership responsibilities, and I typically prefer working with C# or Python. Colleagues in my tech community have been working with their teams on some of their MCPs going the Python route. Therefore, I said, “I guess we are trying the other route” 😊. One of our reasons to go with TypeScript was due to the need of the integration with APIs, and based on the research, it seems t...
Read more

The value of listening

 Have you ever been in a conversation that you feel at best is just a waste of time; at worst, that the other person does not care? Have you been the messenger in some of them, the recipient in another? We’ve all been there; at times with family, with friends, at work. When at work, has this ever happened to you in a group meeting, at a one-on-one; when giving or receiving feedback?   Photo by Christina Morillo via Pexels   I knew the type of manager I wanted to be from the start of my mentorship. As I continued to navigate the waters, it became increasingly clear that the path I had chosen was appropriate, and therefore, the type of future colleagues I wanted to be surrounded by, and the type of mentors I wanted to continue seeking guidance from.  For me, the path has always been of being a leader over a manager. I believe I can attribute that, first and foremost, to my family’s values and  principles, and the way my parents raised us. Secondly, my path in the ...
Read more

Unlocking the Future of Brand Visibility with Adobe's LLM Optimizer

The rapid rise of AI tools like ChatGPT, Gemini, and Perplexity is transforming how consumers interact with brands and make purchasing decisions. These tools are quickly becoming the go-to resources for research, leading to higher conversion rates and more informed buying choices. As traffic from AI technologies continues to surge, brands must adapt to stay relevant in this evolving landscape. Leaves falling - search box - Created with Adobe Express Enter Adobe’s innovative LLM Optimizer, an AI-first tool designed to help brands navigate the complexities of this new reality and ensure they capitalize on the benefits of AI-driven engagement. Here’s how LLM Optimizer can drive significant value for your brand through Generative Engine Optimization (GEO): 1. Gain Insights into Your Brand's Current Standing. LLM Optimizer empowers brands to understand their visibility in AI-driven search results. By providing comprehensive reports on current mentions, citations, and recommendations in ...
Read more

This blog uses cookies to improve your browsing experience. Simple analytics might be in place for pageviews purposes. They are harmless and never personally identify you.

Agreed