Skip to main content

Companies-Word of Advise

[PLACEHOLDER]
Image


If you invest in your people, making your leaders stronger and the rest of the team motivated, inspired then the internal culture of the company will become powerful, the quality of the work will be awesome; and then your company will get recognition in the market that works in. If you decide to go the other way, and focus more on other things then you will start losing the talent and your company will die.

 Translation to Spanish:


Si inviertes en las personas, haciendo que tus lideres sean cada vez más Fuertes y logrando que el resto de tu equipo este motivado, inspirado, entonces la cultura interna de tu compañía será fuerte, la calidad de tu trabajo increíble y por ende tu compañía será fuerte y reconocida en el área que en que se enfoca. De lo contrario entonces perderás el talento y tu compañía perecerá.
 

Trending posts

Rethinking Canadian Economic Sovereignty Amid Foreign Acquisitions

About a year ago, I attended the Elevate Festival in Toronto, which I recommend if you haven't had the chance to experience it. The event was very inspiring because of its focus on business, technology, and entrepreneurship. It was interesting to see people at various stages of their careers; some executives, others developing their startups, a few in between, and some simply there to gain insights and knowledge. There was a unique atmosphere, influenced by the current political situation between Canada and the US. Many discussions centred around data sovereignty, cloud infrastructure independence, and ensuring that Canadians' data remained safe and secure within the country's borders or trusted allies. Building trust requires considerable effort, yet it can be shattered very quickly… and once broken, repairing it becomes extremely difficult, if not impossible. Considering the current geopolitical landscape, it is unclear where we go from here... but it seems the rules hav...
Read more

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...
Read more

Steer for a talent transformation strategy (and avoiding AI fatigue)

 There was a debate on whether to feature the term “AI” in the title of this article. Honestly, a key motivation for pursuing the research that led to this post was sparked by the widespread excitement about AI appearing constantly in our LinkedIn feed, to the point of feeling the fatigue, and even a bit disappointed in the algorithm of this, and the others, social media and content curated apps.  We soon discovered that there is an entire concept called "AI fatigue", not exactly how we were feeling it, but more about the mixed emotions people in the workforce have regarding the use of AI tools. Photo by Mart Production via Pexels (background updated with AI and Adobe  tech) From micro blog posts to video podcasts, lately, most of the tech content we encounter revolves around AI. They often sound or read very similar, usually mentioning the same few top providers. The articles (and social posts... at least the popular ones with paid-campaigns behind it) tend to focus less...
Read more

AI architecture and patterns - part I

AI systems can be complex. Architecture patterns provide reusable blueprints to design them effectively, ensuring your AI solution is scalable, modular, and efficient. Here’s a breakdown of the most common AI architecture patterns.   Photo by Jan van der Wolf via Pexels Core AI system patterns. Pipeline pattern. This is great when you need clarity, control, and determinism in your AI system. It breaks a complex workflow into a clean sequence of stages: data ingestion → preprocessing → model training → inference Each step has a single, well‑defined responsibility. This structure makes debugging easier, improves replicability, and allows teams to optimise or swap out individual components without disrupting the entire system. In practice, it’s the backbone of many production ML and LLM workflows where consistency and traceability matter just as much as model performance.    Microservices pattern. Microservices takes AI architecture and breaks it into small, autonomous serv...
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