It has never been easier to create an AI startup. Today, we are at a turning point in the tech ecosystem. The availability of foundational large-scale AI models allows startups to launch innovative solutions in a matter of weeks. These models, which continue to improve […]
In the current technological landscape, many companies still perceive modern AI Engineering merely as an extension of Machine Learning or Data Engineering. As a result, their job offerings often list requirements aligned with the traditional competencies of these fields. However, the skills that set apart […]
Just over 5 years ago, Andrej Karpathy coined the term “Software 2.0” to refer to the new way of programming that arises with Machine Learning: instead of programming instruction by instruction, with ML we introduce a data sample and a partial result to the computer […]
New technological challenges give rise to new professions. Every time a new group of professionals emerges with a completely different background, speaking a different language, producing a completely different set of products, and using a completely different set of tools, a new profession is born. […]
60% of today’s workers are employed in occupations that didn’t exist in 1940. 80% of employment growth in the last 80 years is explained by the creation of new positions driven by technology. New Professions. Artificial Intelligence (AI) is reshaping the job landscape, just like […]
The Goldman Sachs report delved into the impact that AI will have on various professions, scoring from 0 to 100 the degree to which each job will be affected: Jobs that will be greatly affected by AI. – Administrative Jobs (impact 45 out of 100): […]
In March 2023, the investment bank Goldman Sachs released a report analyzing the impact AI will have on various professions within the U.S. economy. Below are the key findings from the report: AI will replace 7% of jobs. 7% of current employment in the U.S. […]
The adoption of artificial intelligence (AI) within a company presents a significant opportunity to drive efficiency and innovation. However, it’s crucial to approach this process with an informed and realistic attitude. Below are some common mistakes organizations often make when introducing AI, along with tips […]
To develop Artificial Intelligence (AI) and Machine Learning (ML) solutions, it’s essential to have a variety of technical tools that facilitate research, design, implementation, and deployment of models. Below are some of the key tools typically used by AI teams: Machine Learning Frameworks. These tools […]
Roles in an Artificial Intelligence Team. The size and features of an AI team depend on the level of maturity, responsibilities, and value provided in each case. In an initial phase, it is perfectly valid for all AI responsibilities to fall on a single person […]