Remove technology
article thumbnail

Top 7 Data Science, Large Language Model, and AI Blogs of 2024

Data Science Dojo

The fields of Data Science, Artificial Intelligence (AI), and Large Language Models (LLMs) continue to evolve at an unprecedented pace. In this blog, we will explore the top 7 LLM, data science, and AI blogs of 2024 that have been instrumental in disseminating detailed and updated information in these dynamic fields.

article thumbnail

Streaming Langchain: Real-time Data Processing with AI

Data Science Dojo

Artificial intelligence (AI) and natural language processing (NLP) technologies are evolving rapidly to manage live data streams. Moreover, LangChain is a robust framework that simplifies the development of advanced, real-time AI applications. What is Streaming Langchain? Why does Streaming Matter in Langchain?

AI
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Mosaic AI Announcements at Data + AI Summit 2025

databricks

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data! REGISTER Ready to get started?

AI
article thumbnail

What’s New with Azure Databricks: Unified Governance, Open Formats, and AI-Native Workloads

databricks

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

article thumbnail

How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. Don’t get left behind—embrace the future of manufacturing with the right balance of technology and human innovation.

article thumbnail

Generative AI: A Self-Study Roadmap

KDnuggets

By Vinod Chugani on July 11, 2025 in Artificial Intelligence Image by Author | ChatGPT Introduction The explosion of generative AI has transformed how we think about artificial intelligence. This roadmap provides a structured path to develop generative AI expertise independently.

AI
article thumbnail

ML and AI Model Explainability and Interpretability

Analytics Vidhya

We explore why understanding how models make predictions is crucial, especially as these technologies are used in critical fields like healthcare, finance, and legal systems.

ML
article thumbnail

Precision in Motion: Why Process Optimization Is the Future of Manufacturing

Speaker: Jason Chester, Director, Product Management

We'll explore how leading teams are embedding quality throughout the entire production process—while leveraging data, SPC, AI, and predictive insights to drive agility, resilience, and sustainable growth!

article thumbnail

Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. May 20th, 2025 at 12:30 PM PDT, 3:30 PM EDT, 8:30 PM BST

article thumbnail

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence.

article thumbnail

Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving. .

article thumbnail

The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond. Key objectives: Introduction to the structures and ownership dynamics of data platform, analytics and AI teams, along with an exploration of various roles in the data ecosystem.

article thumbnail

A Tale of Two Case Studies: Using LLMs in Production

Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace

We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Don't miss out on this opportunity to stay ahead of the AI curve! Save your seat today and be part of the tech conversation that's shaping the future.

article thumbnail

Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. Save your seat today!

article thumbnail

LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.