Taking time series modeling and stream processing mainstream

Subscribe • Previous Issues Trends and Opportunities in Time Series Time series is an area that has given rise to publicly traded companies, a variety of open source tools, and startups that have collectively raised over a billion dollars. The global market for time series analysis software is expected to grow at a compound annual rate ofContinue reading “Taking time series modeling and stream processing mainstream”

Data and AI job markets are slowing down

Subscribe • Previous Issues Hot technology job market is losing its sizzle If you have the right skills you’re probably still getting inundated with messages from recruiters. But beware that the overall job market is softening. We’re seeing large percentage declines (year-over-year) across a variety of data and AI keyword searches. Exceptions include “data governance” (essentially flat),Continue reading “Data and AI job markets are slowing down”

Embed Retrieve Win

Subscribe • Previous Issues The Vector Database Index If you work with text or images, chances are embeddings are already a key part of your machine learning and analytic pipelines. Embeddings are low-dimensional spaces into which higher-dimensional vectors can be mapped into. They can represent many kinds of data, whether a piece of text, an image orContinue reading “Embed Retrieve Win”

Speech Data Processing Takes Flight

Subscribe • Previous Issues Unlocking speech and audio data with new open source tools Interest in neural networks and deep learning can be traced back to groundbreaking results in computer vision (2012) and speech recognition (2011). The number of companies working on computer vision applications is increasing, but the number of companies working on audio data isContinue reading “Speech Data Processing Takes Flight”

Open source libraries for Text and Time Series

Subscribe • Previous Issues Data Exchange podcast Unleashing the power of large language models: If you work with text, you should incorporate transformer-based language models into your NLP pipelines. You can either build your own tools or use libraries that come with pre-trained models. Maarten Grootendorst, is the author of open source libraries that I’ve come toContinue reading “Open source libraries for Text and Time Series”

Machine Learning at a Pegacorn

Subscribe • Previous Issues Major Tech Companies 💙 Metaverse What have popular technology news sources been covering in 2022?  Metaverse joins other hot areas (AI and cloud computing) on the list of top topics covered in 2022. By examining a variety of metrics, we identify which companies are investing in the Metaverse. Read The Post Data ExchangeContinue reading “Machine Learning at a Pegacorn”

DALL·E 2 Decoded

Subscribe • Previous Issues Guide to Data Annotation and Synthetic Data We recently examined the landscape of tools for building training datasets – specifically tools for data annotation and synthetic data generation.  Taking into account emerging trends in machine learning and artificial intelligence, we assembled guidelines to help you navigate the explosion of tools in these areas.Continue reading “DALL·E 2 Decoded”

Low-code Development Platforms

Subscribe • Previous Issues Experiment Tracking and Experiment Management Tools There are a variety of open-source and commercial tools available to support machine learning teams during the modeling phase. Experiment tracking and experiment management tools log all relevant metadata and results, and most of these tools include collaboration and visualization features to make ML experiments easier toContinue reading “Low-code Development Platforms”

Secure Machine Learning

Subscribe • Previous Issues Data Pegacorns With Kenn So of Shasta Ventures, we identify data startups with real market traction. We chose companies founded 2006 or after as it coincides with the initial release of Hadoop, the open-source technology platform that started the big data era. This is the second in a series of posts on pegacorns,Continue reading “Secure Machine Learning”

AI Observability, Orchestration, Consolidation

Subscribe • Previous Issues Machine Learning Trends You Need to Know In a new post with Assaf Araki of Intel Capital, we collect resources and insights to help you navigate the AI landscape. We believe machine learning is a platform play and companies will use at most two platforms to manage the entire pipeline: one platform toContinue reading “AI Observability, Orchestration, Consolidation”