Human annotators in AI: Adding context & meaning to raw data
Let’s start with the basics: Who are data annotators? Data annotators are responsible for manually labeling and categorizing data, to ensure it’s understandable and useful for machine learning algorithms. This process, known as data annotation, involves tagging, reviewing, and validating various types of unstructured data, including text, images, video, and audio. The result is a […]
Your gen AI data roadmap: 5 strategies for success
Gen AI data roadmap to kickstart your journey 1 – Preparing for gen AI begins with a data strategy Data is the fuel of AI. For companies to fully leverage the potential of this technology, a strong data foundation is imperative. This involves addressing data management issues related to quality, security, transparency, integration, storage, and […]
Scaling generative AI: How companies are harnessing its power
Scaling generative AI: Benefits, risks, and limitations Before generative AI, traditional AI technology focused on solving well-defined problems. These traditional AI models were designed for specific tasks, such as text classification, entity extraction, and predictive modeling, limiting business applications to narrow domains. A glimpse back at McKinsey’s State of AI in 2022 reveals popular enterprise AI use […]
Addressing data challenges with AI-powered solutions
Companies collect terabytes of data every day, but most of its potential remains untapped. Making sense of raw, unstructured information is one of the most pressing data challenges for organizations. For those using data to train their own GenAI models, the challenge is even more complex: not only do they need sheer volumes of data, […]
Training data for machine learning: here’s how it works
Discover the crucial role of training data for machine learning. Learn how it’s used to teach algorithms to make predictions and decisions.
What is synthetic data? Types, challenges, and benefits
Learn about the different types of synthetic data, the hurdles in creating it, and how it’s revolutionizing industries.
Gen AI: challenges and opportunities
A conversation on Gen AI challenges and opportunities with insights from Sigma’s Executive Senior Advisor, Dr. Jean-Claude Junqua.
The machine learning workflow: Key steps and best practices
Master the machine learning workflow with this guide. Learn key steps, best practices, and tips for building successful ML models.
Conversational AI: How it works, use cases & getting started
Conversational AI is the synthetic language and brainpower that makes human interactions with machines more effective and natural.