Artificial Intelligence, AI Leadership, Business, GenAI You need an AI Team and an AI Lead Having an AI Team and AI Lead today is comparable to the need of having an IT Team 20 years ago.
GenAI, LLM, Agents, Artificial Intelligence 3 Use Cases for Generative AI Agents Discover some examples of Generative AI Use Cases and what how you can level up your organization and business In the dynamic landscape of artificial intelligence, Generative AI agents have
Artificial Intelligence, PyTorch, Data Science PyTorch Introduction — Using Custom Data In this post of the PyTorch Introduction, we’ll learn how to use custom datasets with PyTorch, particularly tabular, vision and text data
Artificial Intelligence, Data Science, Technical, PyTorch PyTorch Introduction — Enter NonLinear Functions Continuing the Pytorch series, in this post we’ll learn about how non-linearities help solve complex problems in the context of neural networks
Artificial Intelligence, Technical, PyTorch PyTorch Introduction — Building your First Linear Model Learn how to build your first PyTorch model, by using the “magical” Linear layer
Artificial Intelligence, Data Science, PyTorch, Technical PyTorch Introduction - The Tensor Object Learn about Tensors and how to use them in one of the most famous machine learning libraries, PyTorch
Data Engineering, Data Ops, Data Pipelines Tips to Build a Robust Data Lake Infrastructure Learn how we build data lake infrastructures and help organizations all around the world achieving their data goals.
Artificial Intelligence Why this time it may be different - Digesting Large Language Models and their implications for Society Irrespective of your stance regarding the speed of technological evolution, one thing is certain: with the latest advances in artificial intelligence and the creation of groundbreaking technologies like GPT-4, there will be profound implications for all of us.
Data Engineering Most important Data Engineering Concepts and Tools for Data Scientists Learn the most important data engineering concepts that data scientists should be aware of - such as data orchestrators, ingestion or infrastructure-as-code
Business, Data Science DS Building Blocks - Regression vs. Classification Understand the difference between regression and classification problems
Business DS Building Blocks - A quick guide on experimentation for Non-Technical Users Understand the difference between correlation and causation and know how to integrate data decisions into your business
Business How to introduce Data Science at your company Machine Learning, Data Science and Artificial Intelligence are three terms that have been intertwined and used in multiple conversations during the past decade. Probably, in the business world, no other
Business On FMCG and Retail Forecasting The importance of having accurate sales forecasts When we think of sales forecasting, a couple of interesting questions unfold: how do most businesses manage their operations without having an accurate
Business, COVID-19 Sales Forecast updating in times of COVID-19 How can businesses adapt their sales forecast in times of COVID-19? In this post we will look at a practical example, explaining how we are helping a small business to make sound decisions for the future.
