Computer Vision, Sports Analytics, Behavioral Analysis AI at the game table: From Foosball trash talk to Poker face reads From a trash-talking AI foosball ref to a poker expert that reads bluffs. A dive into computer vision projects tackling speed, stats, and the art of deception.
Generative AI, Gen-OS What’s LLMOps? A quick primer LLMOps is about managing the entire lifecycle of applications powered by LLMs: from prompt engineering to fine-tuning, evaluation, deployment, monitoring, and continuous improvement.
Use Case, Artificial Intelligence DareData Use Case: Beyond Simple Chatbots Hear how Gen-OS is able to support your Customer Service with AI
Artificial Intelligence, Generative AI, Legal AI Solution, AI Solution, AI Use Case, Legal, Gen-OS DareData Use Case: E-mail Replier Legal teams are often bogged down with routine, repetitive requests that require high accuracy and careful compliance with internal systems and legal protocols. But what if you could automate 90% of that work, without compromising on quality, and even improve over time?
Artificial Intelligence, Use Case GenAI Applications - AI Sales Assistant AI sales assistants can take your sales to the next level and give you an immediate sales growth of 12%.
Can AI be deployed in Critical Processes? Addressing the Key Challenges You’ve seen it before: a company starts deploying AI but struggles to move beyond the most high-level use cases. Yet, current AI technology has the potential to power near-fully
Artificial Intelligence, AI Leadership, Project Management Tips on How to Manage Large Scale Data Science Projects use these tips for project management with data science and machine learning
Agents, Artificial Intelligence, Business AI Agents for Customer Support Learn how AI Agents can transform your customer support processes
AI Leadership, Management, data strategy Organizations’ Machine Learning Investment is (or should be) Incremental Embedding ML systems into production is still a hard thing to do (for most companies)
Artificial Intelligence, PyTorch PyTorch Introduction — Training a Computer Vision Algorithm Learn how to train a computer vision algorithm using Pytorch
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.
