In a recent article, Techcrunch claimed no one knows what the hell an AI agent is. It’s true with all the hype around “Agentic AI” and the rush to build agents, the term “AI agent” lacks a standardized definition or even understanding in the tech industry. So what exactly is an AI agent ? Simply speaking, an AI agent is a system (computer program) that can perform certain tasks with a certain degree of autonomy, using language models to adapt to dynamic contexts. Each vendor, of course has its own definition of agents, viz.
The advent of transformer-based models has revolutionized the field of artificial intelligence, ushering in a new era of powerful and efficient AI systems. Transformers, introduced in 2017, have become the backbone of many modern AI applications, including natural language processing (NLP) and computer vision. These models leverage self-attention mechanisms to process data more effectively, enabling them to handle complex tasks such as language translation, text summarization, and image recognition with remarkable accuracy.
There’s no escaping the buzz around AI(artificial intelligence) these days. And yet, it’s hardly a couple of years before the pandemic, that Big Tech was relying heavily on human-input to fine-tune their models, something that used to be called the last mile problem of AI. e.g. Amazon was using its infamous Mechanical Turk to crowdsource cheap human labor for tasks like verifying AI inputs or labeling data.
Quick-commerce has taken the world by storm! Move over traditional retailers, welcome to the new kids of quick-commerce and fast-fashion! The relatively stable global e-commerce landscape is getting disrupted by Chinese quick commerce companies like Shein, AliExpress, Temu or Tiktok. All of them leveraging agile and lean methodologies to deliver their products with unprecedented speed and efficiency.
Let’s look at how lean, agile and product management mindset is driving this digital transformation in retail.
With rapid advance in the technology world, it makes sense sometimes to rethink our objective and outline the roadmap instead of just following the new and shiny. Data Mesh might seem a relatively new concept, however what its creator Zhamak Dehghani has done is spell out in words the approach required to reach the strategic goal of being a data-driven organization.
Figure: Data Mesh domain product notation, adapted from Zhamak Dehghani
