Open Data Science Conference

How Computer Vision Enhances Quality Control and Counterfeit Detection As supply chains grow more complex and customer expectations continue to rise, businesses face increasing pressure to deliver consistent product quality while protecting against counterfeit goods. Man...

Computer vision offers a scalable solution by enabling machines to analyze visual information quickly and accurately, strengthening quality assurance practices. #AI #ArtificialIntelligence #DataScience opendatascience.com/how-computer...

Building a Secure AI Assistant in 2026: From Prompt Injection to Production Controls In 2026, many teams are moving from “LLM chat” to agents that can read external content, call tools, and change state in real systems. Building a secure AI assistant in 2026 means assuming the model c...

Building a secure AI assistant in 2026 requires more than guardrails. Learn how to mitigate prompt injection, limit agent blast radius, and design secure agentic AI systems for production. #AI #ArtificialIntelligence #DataScience opendatascience.com/building-a-s...

Why AI POCs Fail: The Real Gap Between Pilot and Production Organizations can build impressive AI demos faster than ever. A small team can stand up a model, connect it to a few curated datasets, and produce metrics that look production-ready. The problem is wh...

Most AI POCs succeed technically, but fail operationally. Here’s why pilots stall before production and how leaders can turn experiments into scalable systems. #AI #ArtificialIntelligence #DataScience opendatascience.com/why-ai-pocs-...

Less Compute, More Impact: How Model Quantization Fuels the Next Wave of Agentic AI Editor’s note: David vonThenen is speaking at ODSC AI East this April 28th-30th. Check out his talk, “Less Compute, More Impact: How Model Quantization Fuels the Next Wave of Agentic AI,&#...

Model Quantization is reshaping AI economics by compressing large language models into smaller, faster, and more efficient systems. #AI #ArtificialIntelligence #DataScience opendatascience.com/less-compute...

How Computer Vision Enhances Quality Control and Counterfeit Detection As supply chains grow more complex and customer expectations continue to rise, businesses face increasing pressure to deliver consistent product quality while protecting against counterfeit goods. Man...

Computer vision offers a scalable solution by enabling machines to analyze visual information quickly and accurately, strengthening quality assurance practices. #AI #ArtificialIntelligence #DataScience opendatascience.com/how-computer...

Building a Secure AI Assistant in 2026: From Prompt Injection to Production Controls In 2026, many teams are moving from “LLM chat” to agents that can read external content, call tools, and change state in real systems. Building a secure AI assistant in 2026 means assuming the model c...

Building a secure AI assistant in 2026 requires more than guardrails. Learn how to mitigate prompt injection, limit agent blast radius, and design secure agentic AI systems for production. #AI #ArtificialIntelligence #DataScience opendatascience.com/building-a-s...

Why AI POCs Fail: The Real Gap Between Pilot and Production Organizations can build impressive AI demos faster than ever. A small team can stand up a model, connect it to a few curated datasets, and produce metrics that look production-ready. The problem is wh...

Most AI POCs succeed technically, but fail operationally. Here’s why pilots stall before production and how leaders can turn experiments into scalable systems. #AI #ArtificialIntelligence #DataScience opendatascience.com/why-ai-pocs-...

Less Compute, More Impact: How Model Quantization Fuels the Next Wave of Agentic AI Editor’s note: David vonThenen is speaking at ODSC AI East this April 28th-30th. Check out his talk, “Less Compute, More Impact: How Model Quantization Fuels the Next Wave of Agentic AI,&#...

Model Quantization is reshaping AI economics by compressing large language models into smaller, faster, and more efficient systems. #AI #ArtificialIntelligence #DataScience opendatascience.com/less-compute...

What Boards Should Actually Be Asking About AI in 2026 In 2026, AI will no longer be a sandboxed R&D effort. It is embedded in customer experience, internal decisioning, and the software supply chain, so board oversight has to move from “Are we using ...

Boards can’t treat AI as an R&D experiment in 2026. Learn the key governance, risk, data, and ROI questions directors must ask now. #AI #ArtificialIntelligence #DataScience opendatascience.com/what-boards-...

Orchestrating AI for Business Outcomes: The Enterprise Playbook for 2026 In 2026, the competitive advantage in AI no longer comes from simply choosing the best model. It comes from orchestrating AI for business outcomes. Over the past few years, enterprises have raced to e...

Learn how orchestrating AI for business outcomes through governance, context, and observability turns enterprise AI from demos into measurable ROI. #AI #ArtificialIntelligence #DataScience opendatascience.com/orchestratin...

Practical AgentOps: Getting Started with MLflow 3 Editor’s note: Jonathan Bown is speaking at ODSC AI East 2026 this April 28th-30th. Check out his talk, “Practical Agent Ops: From PoC to Prod with MLflow 3.0,” there! MLflow 3.0 was...

Learn how to instrument, trace, evaluate, and monitor generative AI workflows locally using mlflow.genai, built-in scorers, and evaluation-driven development patterns. #AI #ArtificialIntelligence #DataScience opendatascience.com/practical-ag...

Building Secure Data Pipelines: Where SAST Fits in the Development Lifecycle The data pipeline is the aorta of modern analytics and AI. It moves sensitive information from one system to another by transforming it, storing it, and sometimes exposing it. And like any other digit...

In this guide, we’ll show you exactly where SAST fits in the lifecycle of building secure data pipelines. #AI #ArtificialIntelligence #DataScience opendatascience.com/building-sec...

AI Slop Websites Expose New Industrial-Scale Ad Fraud Operation Cybersecurity researchers have identified a coordinated network of more than 200 AI-generated websites designed to exploit advertising networks and deceive users. The operation highlights how generati...

Researchers uncovered more than 200 AI-generated “slop” websites designed to exploit ad networks and phishing victims. #DataScience #AI #ArtificialIntelligence opendatascience.com/ai-slop-webs...

Pentagon Ban on Anthropic Claude Triggers Compliance From Defense Contractors Major U.S. defense contractors are beginning to remove Anthropic’s Claude AI tools from their technology stacks after the Trump administration issued a government-wide prohibition on the company’s sys...

Defense contractors such as Lockheed Martin moved to remove Anthropic’s Claude AI following a Trump administration ban. #DataScience #AI #ArtificialIntelligence opendatascience.com/pentagon-ban...

U.S. Supreme Court Declines to Hear AI-Generated Copyright Dispute The U.S. Supreme Court has declined to hear an appeal in a closely watched AI-generated copyright dispute, leaving in place lower court rulings that deny copyright protection to works created solely b...

The U.S. Supreme Court declined to hear a case on whether AI-generated art qualifies for copyright, leaving intact prior rulings. #DataScience #AI #ArtificialIntelligence opendatascience.com/u-s-supreme-...

From RAG to Agents: An Incremental Path to Agentic AI The jump from “RAG application” to “AI agent” can feel dramatic. New SDKs, new abstractions, new architecture diagrams. But in practice, many agentic systems are not reinventions—they’re evolutions. T...

Discover how to transform a basic RAG pipeline into a true AI agent by adding query rewriting, optional retrieval, iterative loops, and tool-based architectures for more autonomous LLM systems. #DataScience #AI #ArtificialIntelligence opendatascience.com/from-rag-to-...

How to Become a Chief AI Officer: Skills, Mindset, and Leadership for 2026 and Beyond The Chief AI Officer is no longer a futuristic title. In 2026, it is rapidly becoming one of the most strategic roles in the enterprise. Organizations across industries are investing heavily in artifi...

What does it take to become a Chief AI Officer? Explore the skills, mindset, and leadership strategy needed to drive AI transformation in 2026 and beyond. #DataScience #AI #ArtificialIntelligence opendatascience.com/how-to-becom...

Quest Diagnostics Launches AI Companion for Lab Results Quest Diagnostics has introduced Quest AI Companion, an AI-powered chat feature designed to help patients analyze and understand their laboratory test results. The tool is now available to adult users...

Quest Diagnostics launches Quest AI Companion, a Gemini-powered chat tool in MyQuest that helps patients analyze lab results. #DataScience #AI #ArtificialIntelligence opendatascience.com/quest-diagno...

ASML Expands Beyond EUV to Capture AI Chip Packaging Market ASML Holding is positioning itself for the next phase of artificial intelligence infrastructure by expanding beyond its core extreme ultraviolet (EUV) lithography systems. In an interview with Reuters...

ASML outlines plans to expand into advanced packaging and AI-driven chipmaking tools to support next-generation AI processors. #DataScience #AI #ArtificialIntelligence opendatascience.com/asml-expands...

Nano Banana 2 Brings Pro-Grade Image Generation to Flash Speed Google has introduced Nano Banana 2 (Gemini 3.1 Flash Image), its latest image generation model that merges Pro-level capabilities with high-speed performance. The release aims to close the gap betwee...

Nano Banana 2 combines Pro-level image intelligence with Gemini Flash speed, delivering advanced world knowledge and more. #DataScience #AI #ArtificialIntelligence opendatascience.com/nano-banana-...

Spent years chasing bigger models… turns out smarter engineering wins. 🚀
I joined the @odsc.bsky.social AI X Podcast to talk about real-world production AI: RAG failures, quantization, SLMs, and building efficient systems that actually ship. 🎧

Listen here: bit.ly/4ssrdMm

#AI

Decision Boundaries—From Classical ML to Modern AI Editor’s note: Noah Giansiracusa is speaking at ODSC AI East 2026 this April 28th-30th. Check out his workshop, “Decision Boundaries–How They Help usUnderstand Algorithms from Classi...

Geometry, particularly in the form of decision boundaries, has been central to classical machine learning, even if we didn’t notice, and it is almost surely central to modern AI as well. #AI #ArtificialIntelligence #DataScience opendatascience.com/decision-bou...

How Computer Vision Enhances Quality Control and Counterfeit Detection As supply chains grow more complex and customer expectations continue to rise, businesses face increasing pressure to deliver consistent product quality while protecting against counterfeit goods. Man...

Computer vision offers a scalable solution by enabling machines to analyze visual information quickly and accurately, strengthening quality assurance practices. #AI #ArtificialIntelligence #DataScience opendatascience.com/how-computer...

Building a Secure AI Assistant in 2026: From Prompt Injection to Production Controls In 2026, many teams are moving from “LLM chat” to agents that can read external content, call tools, and change state in real systems. Building a secure AI assistant in 2026 means assuming the model c...

Building a secure AI assistant in 2026 requires more than guardrails. Learn how to mitigate prompt injection, limit agent blast radius, and design secure agentic AI systems for production. #AI #ArtificialIntelligence #DataScience opendatascience.com/building-a-s...

Why AI POCs Fail: The Real Gap Between Pilot and Production Organizations can build impressive AI demos faster than ever. A small team can stand up a model, connect it to a few curated datasets, and produce metrics that look production-ready. The problem is wh...

Most AI POCs succeed technically, but fail operationally. Here’s why pilots stall before production and how leaders can turn experiments into scalable systems. #AI #ArtificialIntelligence #DataScience opendatascience.com/why-ai-pocs-...

Deloitte Launches Enterprise AI Navigator to Move AI Investment From Cost to Value Deloitte has unveiled Deloitte Enterprise AI Navigator, a new enterprise AI solution designed to help organizations translate AI investment into measurable business value. Built on the Deloitte Ascend...

Deloitte launches Enterprise AI Navigator, an end-to-end solution designed to help organizations prioritize AI investments. #AI #ArtificialIntelligence #DataScience opendatascience.com/deloitte-lau...

Anthropic Updates Responsible Scaling Policy to Strengthen AI Risk Governance Anthropic has released Version 3.0 of its Responsible Scaling Policy (RSP), a voluntary framework designed to mitigate catastrophic risks from increasingly capable AI systems. The update reflects more...

Anthropic releases Responsible Scaling Policy 3.0, introducing a Frontier Safety Roadmap, Risk Reports, and stronger transparency measures. #AI #ArtificialIntelligence #DataScience opendatascience.com/anthropic-up...

NVIDIA Vera Rubin AI System Promises 10x Performance Per Watt Over Grace Blackwell NVIDIA’s next rack-scale platform, the NVIDIA Vera Rubin AI system, is set to ship in the second half of 2026, and early details signal a significant leap in energy efficiency. According to the compan...

NVIDIA's Vera Rubin AI system delivers 10x performance per watt over Grace Blackwell, introducing full liquid cooling & modular design. #AI #ArtificialIntelligence #DataScience opendatascience.com/nvidia-vera-...

Pentagon Pressures Anthropic Over AI Safeguards in High-Stakes Defense Dispute The Pentagon has escalated its standoff with Anthropic, demanding expanded military access to its AI model, Claude. According to reports, Defense Secretary Pete Hegseth gave Anthropic CEO Dario Amodei...

Defense Secretary Pete Hegseth gave Anthropic until Friday to loosen AI safeguards for military use or face penalties, escalating tensions. #AI #ArtificialIntelligence #DataScience opendatascience.com/pentagon-pre...

Less Compute, More Impact: How Model Quantization Fuels the Next Wave of Agentic AI Editor’s note: David vonThenen is speaking at ODSC AI East this April 28th-30th. Check out his talk, “Less Compute, More Impact: How Model Quantization Fuels the Next Wave of Agentic AI,&#...

Model Quantization is reshaping AI economics by compressing large language models into smaller, faster, and more efficient systems. #AI #ArtificialIntelligence #DataScience opendatascience.com/less-compute...