Skip to main content

AI Agents is the new thing to talk about

[PLACEHOLDER]

Tech is evolving faster than ever in this AI era, that it feels every week there is something new to talk about, and what you learn weeks back is no longer relevant, or “that AI tools” already has gone through changes that you need to catch up with in order to stay relevant. 

Fear not, embrace the challenges and learnings, and find applications for it that are good and ethical for this present, and the hereafter. 

The new “craze” is AI agents, and for good reason! 

Image generated with NightCafe

In contrast with AI chatbots, an AI agent can execute tasks on your behalf. If you are thinking “that this could be agents that we leave running independently for many days for a group of deliveries”… Well then you are correct!

Are there risks? Should we talk about trust and accountability? The answer for both is yes. I already hinted at it a couple of paragraphs above, when I wrote “good and ethical”.

AI (Artificial Intelligence) agents are software that work autonomously, executing against complex activities (such as reasoning, using tools, etc.),  delivering on predefined and independent actions, which will augment productivity.

AI agents, benefits and challenges?

Benefits:

  1. Improved productivity (example: risk analysis)
  2. Reducing cost
  3. Informed decision-making

Challenges:

  1. Data privacy
  2. Ethical challenges
  3. Complexity. This is regarding the team skills, and the architecture required
  4. Limited compute resources

Lastly...

The Agentic AI era is here. Below is our Youtube videos' selection from the Big Tech CEOs presenting their vision and executions. They are long videos, and worth the watch.

  1. Microsoft. Satya Nadella at Microsoft Ignite 2024
  2. NVIDIA CEO Jensen Huang Keynote at CES 2025
  3. Salesforce. Agentforce world tour in NYC. Main Keynotes



Trending posts

Apple's App Tracking Transparency sealing Meta's fate

If you have been following the recent news on Meta (formerly Facebook) you may have read that Meta recently projected their ad revenue will be cut by a staggering $10 billion in 2022 due to Apple’s new App Tracking Transparency feature (also known as ATT). This has resulted in Meta’s stock to plummet by over 20%. Photo by julien Tromeur on Unsplash - modified by Beolle So what is Apple’s ATT and how does it impact ad revenue? Apple has been releasing multiple privacy features for the last few years. This included Apple’s Mail Privacy Protection and Apple’s App Tracking Transparency feature. You can learn more about Apple’s Mail Privacy Protection in our earlier post by clicking here .  Apple’s App Tracking Transparency (ATT) was launched in iOS 14.5 and iPadOS 14.5 where it prompted users to select if they wanted the app to track their activities across other apps on the device. The prompt is displayed when the user opens an app like Facebook or Instagram for the first time o...

Reimagining Digital Experience Management: How Agentic AI is Transforming Adobe Experience Manager

 Adobe Experience Manager (AEM) has introduced powerful new Agentic AI capabilities designed to continuously improve and adapt digital experiences at the speed of AI. By integrating advanced AI orchestrators through Agent-to-Agent (A2A) and Model Control Protocol (MCP) tools, AEM enables brands to automate complex workflows and enforce compliance seamlessly across enterprise ecosystems. Through a suite of specialized agents, teams can transition from manual, weeks-long processes into fast, AI-assisted workflows powered by simple natural language prompts. Photo by Tunahan KALAYCI via Pexels   Here is a breakdown of the key agents driving AEM’s new Agentic capabilities, their value propositions, their guardrails, and their current availability status. 1. Brand Experience Agent. Overview. The Brand Experience Agent accelerates digital modernization through specialized sub-agents—the Experience Modernization Agent, Experience Production Agent, and Experience Development Agent. Tog...

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...

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...

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