Ben Lorica

One Simple Graphic: companies that offer deep neural network accelerators

In 2018, I sat down and listed companies (mainly based in the US and China) that were offering specialized hardware for deep learning. There were plenty of startups in the hardware space at that time but things have changed and that particular list is a bit outdated. Many companies have pivoted, or gone bust, orContinue reading “One Simple Graphic: companies that offer deep neural network accelerators”

One Simple Chart: what technologies are most important to large banks

As someone who speaks with many technology startups in the software space, I know how important the financial services sector can be to software companies. Companies in this sector have significant technology budgets and increasing competition from fintech startups has accelerated their adoption of new technologies. More financial companies are using cloud platforms and machineContinue reading “One Simple Chart: what technologies are most important to large banks”

One Simple Chart: how open source projects interact with users

Core members of an open source projects make an effort to interact with users through a variety of means. They give talks at local events (now moved online), they answer questions online, and they resolve issues identified by users (using tools like GitHub). As far as answering questions from users, over the past couple ofContinue reading “One Simple Chart: how open source projects interact with users”

One Simple Chart: where do consumers prefer AI data be processed

With machine learning and AI being embedded in a growing number of products and systems, privacy and security become central for users and companies. Every company now has a Privacy Policy to comply with regulations like GDPR and CCPA. And in the not-so-distant future, companies will have teams focused on managing risks stemming from dataContinue reading “One Simple Chart: where do consumers prefer AI data be processed”

One Simple Chart: which sectors are using reinforcement learning

Interest in reinforcement learning has grown steadily over the last decade. In a recent post, I described emerging applications of RL in recommendation and personalization systems, and in business simulation and optimization. In this post, I wanted to examine which industry sectors have been mentioning reinforcement learning in their job postings. Let’s place demand forContinue reading “One Simple Chart: which sectors are using reinforcement learning”

Here’s what you need to look for in a model server to build ML-powered services

Ray Serve simplifies the integration of classic web serving and model serving. By Ben Lorica and Ion Stoica.