Subscribe • Previous Issues This edition has 459 words which will take you about 3 minutes to read. “Any figure that looks interesting or different is usually wrong.” – W.A. Twyman. Data Exchange podcast The Computational Limits of Deep Learning Neil Thompson is a research scientist at the Computer Science and Artificial Intelligence Lab (CSAIL) andContinue reading “Gradient Flow #21: Detecting Fake News, AutoBI, Feature Stores”
Author Archives: Ben Lorica
Responsible AI in Practice: A virtual event
Watch Watch the recorded webinar video. As interest in machine learning and AI continues to grow, companies are realizing the complexities inherent not only in the technology itself, but in the responsible implementation of the technology. Responsible AI is a framework that brings together best practices around fairness, transparency, accountability, security, privacy, safety, and reliability.Continue reading “Responsible AI in Practice: A virtual event”
AI and Automation meet BI
Analysts remain front and center in BI 3.0. By Assaf Araki and Ben Lorica.
Gradient Flow #20: Ethical Algorithms, Knowledge Graphs, Secure Communication
Subscribe • Previous Issues This edition has 560 words which will take you about 3 minutes to read. “We know that the ‘superspreaders’ and ‘superconsumers’ of fake news, who drive the concentration in these samples, are mostly bots. – Sinan Aral Data Exchange podcast Building and deploying knowledge graphs Mayank Kejriwal is one of the leading expertsContinue reading “Gradient Flow #20: Ethical Algorithms, Knowledge Graphs, Secure Communication”
Gradient Flow #19: AI in Finance, Infinite Laptops, Software 2.0
Subscribe • Previous Issues This edition has 622 words which will take you about 3 minutes to read. “The future will always be uncharted but it is made by those active enough to explore it, with the stamina and imagination not to give up on themselves or each other.” – Margaret Heffernan. Data Exchange podcast Financial TimeContinue reading “Gradient Flow #19: AI in Finance, Infinite Laptops, Software 2.0”
Software 2.0 takes shape
Automating Software Development with AI
Towards an infinite laptop
The new Anyscale platform offers the ease of development on a laptop combined with the power of the cloud. During a series of short keynotes at the Ray Summit this morning, Anyscale1, the company formed by the creators of Ray, publicly shared their initial product offering. Dubbed the “infinite laptop”, Anyscale’s platform allows developers toContinue reading “Towards an infinite laptop”
Gradient Flow #18: Forecasting & Groupthink, Interpreting NLP, Ray Ecosystem
Subscribe • Previous Issues This edition has 640 words which will take you about 4 minutes to read. “If you want to go fast, go alone. If you want to go far, go together.” – African Proverb. Data Exchange podcast Using machine learning to modernize medical triage and monitoring systems Kira Radinsky is Chairwoman & Chief TechnologyContinue reading “Gradient Flow #18: Forecasting & Groupthink, Interpreting NLP, Ray Ecosystem”
One Simple Chart: primary applications of AI in Financial Services
Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies. In a recent post, I highlighted technologies are most important to large banks using results from a BankDirector survey. That survey hinted that Data and AI are high priorities within large banks, and Automation and Data Analytics emergedContinue reading “One Simple Chart: primary applications of AI in Financial Services”
2020 NLP Survey Report
By Ben Lorica and Paco Nathan. Learn how Natural Language Processing (NLP) technologies are being used today—the 2020 NLP Survey Report includes a detailed analysis of NLP technologies being implemented by businesses, budgets, trends, widely used tools and cloud platforms, and common use cases. The online survey ran for 41 days (July 5 to AugustContinue reading “2020 NLP Survey Report”