An update on the central role of distributed computing in modern AI. By Ben Lorica and Kenn So. In our previous post we introduced a class of AI startups (“pegacorns”) that have at least $100 million in annual revenue. Many of the AI pegacorns sell applications rather than infrastructure, and many of their founders citedContinue reading “Distributed Computing for AI: A Status Report”
Author Archives: Ben Lorica
Data+AI Summit 2022
This year’s Data + AI Summit is packed with more than 250 community sessions and keynotes presented by influential leaders in data and AI such as Peter Norvig, Daphne Koller, Andrew Ng and Hilary Mason, as well as some of the founders of Databricks, including Ali Ghodsi, Reynold Xin and Matei Zaharia. Sessions will span all keyContinue reading “Data+AI Summit 2022”
Revisiting the unicorn concept
Subscribe • Previous Issues The AI $100 Million Revenue Club Everyday there’s a new unicorn. It used to be a status that meant that a startup has graduated from being a startup and into a mature company worth being listed on the public stock market backed by revenue. In today’s climate becoming a unicorn is increasingly aContinue reading “Revisiting the unicorn concept”
The AI $100M Revenue Club
Introducing the Pegacorn Club. By Kenn So and Ben Lorica. [Also see our followup post: The Data Pegacorns.] Nearly 600 companies became unicorns in 2021. It used to be a status that meant that a startup has graduated from being a startup and into a mature company worth being listed on the public stock marketContinue reading “The AI $100M Revenue Club”
Data For AI
Subscribe • Previous Issues The Data Integration Market As much as I like talking and writing about machine learning and AI, the truth is that there are probably more impressive startups in the data engineering and data infrastructure (DE) category. DE companies address fundamentals that need to be in place before companies can rely on reports andContinue reading “Data For AI”
2022 AI in Healthcare Survey Report
By Ben Lorica and Paco Nathan. Applications of AI in Healthcare pose a number of challenges and considerations which differ substantially from other business verticals. We conducted an industry survey specifically about AI in healthcare, to understand more about current trends and issues. A total of 321 respondents from 41 countries participated in the survey.Continue reading “2022 AI in Healthcare Survey Report”
The Data Integration Market
By Ben Lorica. As much as I like talking and writing about machine learning and AI, I am equally keen to point out there are also many impressive1 startups in the data engineering and data infrastructure (DE) category. DE companies address fundamentals that need to be in place before companies can rely on reports andContinue reading “The Data Integration Market”
Most State-Of-The-Art AI Systems Are Trained With Extra Data
According to the 2022 AI Index Report, nine state-of-the-art AI systems out of the ten benchmarks they tested against are trained with extra data. By Ben Lorica. Stanford’s AI Index Report has just come out – one of my favorite annual reads. This report tracks several metrics including performance on machine learning benchmarks, volume ofContinue reading “Most State-Of-The-Art AI Systems Are Trained With Extra Data”
Supercharging Your Data and AI Platforms
Subscribe • Previous Issues Data Management Trends You Need to Know Intel Capital’s Assaf Araki and I both focus on data, analytics, and machine learning, thus we regularly hear pitches from startups building new data management solutions. Data management is a broad area that includes solutions for different workloads, data types, and use cases. Our post listsContinue reading “Supercharging Your Data and AI Platforms”
Data Management Trends You Need to Know
Insights and trends that will help you navigate the data management landscape. By Assaf Araki and Ben Lorica. Given our focus on data, analytics, and machine learning, we regularly hear pitches from startups building new data management solutions. Data management is a broad area that includes solutions for different workloads, data types, and use cases.Continue reading “Data Management Trends You Need to Know”