DareData Blog

Artificial Intelligence, Smart Factories, AI in Manufacturing, Smart Manufacting, Digital Twin, Generative AI, Gen-OS, GenAI

Factory AI: How Smart Manufacturing is Powered by AI

AI in manufacturing is transforming factory floors with predictive maintenance, quality control, and generative AI—boosting efficiency, reliability, and profits.

Gen-OS, GenAI, Generative AI

Gen-OS: The Platform, the Apps, the Toolkit

Most AI projects stall after pilots due to poor systems, workflows, and architecture. By focusing on business impact, using a reliable AI platform, and avoiding vendor lock-in with open, integrated tools like Gen-OS, enterprises can scale AI and achieve measurable results.

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%.

Keeping Purpose Alive: How Communication Systems Shape Company Culture

One of the fundamental challenges in any growing company is maintaining effective communication and ensuring that employees remain engaged with the organization's mission. Human cooperation has always been dependent on shared beliefs and narratives. However, as groups grow beyond a certain size, these shared

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

2024: A Year of Structural Transformation

DareData will close 2024 with a 5% revenue growth compared to 2023. At first glance, given the rapid growth in our market, one might be tempted to classify this year

GenAI

The Gen-OS Newsletter - Is DareData Changing?

DareData's future is here!

Business, Management

How to Retain Talent

How DareData is retaining top talent

Tackling Technical Debt is Crucial for Long-Term Success

In software development and other information technology fields, technical debt (also known as design debt or code debt) is the implied cost of future reworking because a solution prioritizes expedience

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)

Fundamentals of Geospatial Data Analysis

In Geospatial Data Analysis, the primary objective is to pose the right questions, leveraging geographic principles to gain insightful answers. Analysts will visualise and decipher patterns through maps while trying

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

Business, Best data practices, MLOps

Why teach MLOps to your Data Science Teams?

In today's data-driven world, machine learning has emerged as a transformative force, empowering organizations to extract valuable insights from vast amounts of data. As the scope of the models and