FEATURED REPORT
RAG: Beyond the Chatbot
Retrieval-augmented generation promised to bring ChatGPT’s magic to enterprise data. But while organizations rushed to build chatbots, they often struggled to deliver real business value. This comprehensive guide reveals RAG’s full potential beyond conversational interfaces, showing how integration with existing tools and processes can unlock powerful enterprise-wide capabilities. Drawing from concrete examples and implementation experience, we provide both strategic vision and practical guidance for deploying RAG in ways that drive meaningful outcomes. Whether you’re just starting with RAG or looking to expand, this report offers a clear roadmap for unlocking the technology’s true value.
ARTICLES
Google Cloud Next ’24 Reflections
I recently returned from the Google Cloud Next ’24 conference, held in Las Vegas in April. Read on for my key takeaways and reflections from
Google Cloud Next ‘23 Recap
Google’s premier cloud computing AI conference, Google Cloud Next 2023, took place the last week of August at Moscone Center in San Francisco. I attended
Google Cloud Executive Forum: Highlights and Takeaways
I recently had the opportunity to attend the Google Cloud Executive Forum, held at Google’s impressive new Bay View campus, in Mountain View, California. The
Writers: Dismiss ChatGPT at your peril
A recent New Yorker article, “ChatGPT Is a Blurry JPEG of the Web,” has been making the rounds. After sharing an anecdote about a Xerox
Towards a Unified Batch and Streaming Platform at Intuit
You may know Intuit as the public company (INTU) behind Quickbooks and Turbotax but thanks to $20B of recent acquisitions, they are also the new
Demo: Model Quantization and Compression for Edge Devices with AIMET
Check out this demo of Qualcomm Technologies’ AIMET, the AI Model Efficiency Toolkit. AIMET is a library that provides users with advanced quantization and compression techniques from Qualcomm AI
The Evolution of Machine Learning Platforms at Facebook Webcast Recap
Back in the fall of 2018, we conducted a series of interviews with some of the people behind the large-scale ML platforms at organizations like
Innovation at the Edge and in the Metaverse at Qualcomm
A conversation with Ziad Asghar Qualcomm Technologies provides connectivity and intelligence for a wide variety of devices, spanning mobile to vehicles to robotics and beyond.
House Hunters: How ML at Redfin is influencing the housing market with Akshat Kaul
MLOps at Redfin Redfin is a real estate brokerage founded by software developers that makes the process of buying and selling houses more efficient. They
Fighting Malware with Adversarial Machine Learning
Who is Edward Raff? Edward Raff works as a head scientist at the consulting firm Booz Allen Hamilton (BAH). As Edward describes it, their business
Pondering Memory in Deep Neural Networks with Andrea Banino
Getting to know Andrea Banino Andrea’s background as a neuroscientist informed his work in deep learning. At DeepMind, Andrea’s research falls in the realm of
Dungeons, Dragons, and Deep Reinforcement Learning with Tim Rocktäschel
Who is Tim Rocktäschel? Tim Rocktäschel got his start in NLP research, earning a PhD from University College London. Initially, his research focused on knowledge
Rebuilding the Brain from AI “Legos” with Kanaka Rajan
Getting to Know Kanaka Rajan Kanaka Rajan had a circuitous route into computational neuroscience. Initially trained in biomedical engineering, she switched to experimental neuroscience in
Building Communities at Stack Overflow with Prashanth Chandrasekar
A quick note: While they’re still early in their ML/AI journey, Stack Overflow is a company that is well-known and beloved in technical communities, and
Advances at Microsoft Speech with Li Jiang
“Speech is the most natural way to communicate, so using voice to interact with machines has always been one of the top scenarios associated with
ML Mashups: Creativity in the Past, Present, and Future of Machine Learning
It’s common to think of creativity as conceiving new ideas from nothing, but some of the best examples of creativity come in the form of
Causal Modeling in Machine Learning Webinar – May 2021
Causality and causal modeling Causality and causal modeling is one of the hottest topics in machine learning. Earlier this year we launched a new causality
Using AI to Map the Human Immune System with Jabran Zahid – Transcript
Sam Charrington: [00:00:00] All right, everyone. I am here with Jabran Zahid, Senior Researcher with Microsoft Research. Jabran, welcome to the TWIML AI Podcast. Jabran