Understanding CRM Data Cleansing CRM data cleansing is an essential process that involves identifying and correcting inaccuracies, incomplete entries, duplicate records, and outdated information in your Customer Relationship Management (CRM) system. This practice is crucial for maintaining the integrity of your data and ensuring your business operations run smoothly. Why Is CRM Data Quality Important? […]
Understanding Generative AI: Revolutionizing Technology and Creativity What is Generative AI? Generative AI refers to a class of artificial intelligence that creates new content, whether it be text, images, or even music. Unlike traditional AI models that analyze and categorize existing data, generative AI actively generates new outputs based on learned patterns. This innovative technology […]
Understanding the Limitations of Retrieval-Augmented Generation Systems Retrieval-Augmented Generation (RAG) systems heavily utilize dense embedding models that translate queries and documents into fixed-dimensional vector spaces. This technique has become standard in many AI applications. However, recent research from Google DeepMind has highlighted a fundamental architectural limitation in these systems that cannot be addressed simply through […]
Self-Driving Cars: The Autonomy Revolution Once relegated to the realm of science fiction, self-driving cars are becoming a tangible reality. Companies like Waymo, the autonomous branch of Alphabet, are leading the charge by expanding their services into new cities. Waymo’s Expansion Plans Recently, Waymo announced its plans to launch in Denver this upcoming fall, aiming […]
Lead generation is changing as a result of artificial intelligence. Businesses are employing AI to favor quality over quantity, from predictive analytics that predict purchasing behavior to AI-driven lead scoring that gives priority to high-value prospects. E-commerce companies are also using AI to recommend upsells at the point of sale, increasing conversions without spending more […]
Back in 2003, I was working with my first big consulting client, Hasbro. (Yes, that Hasbro. And yes, it was as fun as you’d imagine.) Sitting on my desk at the time — dog-eared, tea-stained, salsa-splotched — was a multi-page document I treated like sacred scripture: the spam trigger word list.
Acknowledgements The research described here is a joint effort across Google Research, Google for Health, Google DeepMind, and partnering teams. The following researchers contributed to this work: Kevin McKee, Dan Gillick, Irina Jurenka, Markus Kunesch, Kaiz Alarakyia, Miriam Schneider, Jenn Sturgeon, Maggie Shiels, Amy Wang, Roma Ruparel, Anna Iurchenko, Mahvish Nagda, Julie Anne Séguin, Divya […]
The Allen Institute for AI (AI2) has released OLMoASR, a suite of open automatic speech recognition (ASR) models that rival closed-source systems such as OpenAI’s Whisper. Beyond just releasing model weights, AI2 has published training data identifiers, filtering steps, training recipes, and benchmark scripts—an unusually transparent move in the ASR space. This makes OLMoASR one […]
