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 […]

The adoption of Artificial Intelligence (AI) in a company is a process that can offer significant competitive advantages. Below, we present a step-by-step guide for a successful transformation towards an AI-driven enterprise: 1. Technical and Business Analysis. Before embarking on any AI initiative, conducting a […]

The consulting firm McKinsey and Company released a report in June 2023 highlighting the areas of the company where AI will have the most impact: Customer Operations. AI helps automate and optimize customer interactions, providing quick responses to inquiries and enhancing the customer experience. Here […]

Goldman Sachs, one of the world’s leading investment banks, published a detailed analysis in March 2023 of the expected impact of Artificial Intelligence on various business sectors. The forecasts from this report, which rated the level of AI impact on each sector on a scale […]

Discrimination against Minorities. If AI is trained on biased data, it will produce biased results, potentially leading to discrimination against minorities or other groups. Examples of discrimination and bias that have already occurred include: – AI hiring tool that discriminates against women. – Facial recognition […]

The scarcity of GPUs, combined with the growing demand for processing power for AI tasks, presents both challenges and opportunities in the technology ecosystem: Challenges for startups and developers: – High cost: GPUs have become incredibly expensive due to high demand, increasing operational costs for […]

AI, and particularly the development and application of LLMs, is undergoing an unprecedented period of boiling innovation. This rapid evolution also comes with significant challenges, including: Black box. AI models, especially deep learning models, are often difficult to interpret and explain. It’s not always clear […]

Artificial Intelligence (AI) is generating disruptive changes in numerous sectors. We’ll delve into these in detail later. For now, let’s introduce some of the most prominent ones, along with the opportunities and threats associated with these changes: Internet Search. We are transitioning to a question-and-answer […]

The evolution of artificial intelligence has led to a transition from traditional Machine Learning (ML) to the new Generative AI. Here are some of the main differences between the two: Focus and Application. Traditional ML: Specialized and designed for specific tasks. For example, a model […]