By Ben Lorica and Jenn Webb. In this report, we consult with industry leaders who have extensive experience implementing AI technologies. They share insights and clear, practical advice gathered from building and managing world-class AI teams delivering some of the most widely used AI products. The big takeaway is that, with efficient and effective approaches,Continue reading “2021 Business at the Speed of AI Report”
Author Archives: Ben Lorica
One Simple Chart: online learning platforms, a year into the pandemic
Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies. Last year I examined usage of a few online learning platforms and found that a month into the pandemic, many of them were growing rapidly. Now that we have data to compare pre and post pandemic usage, let’sContinue reading “One Simple Chart: online learning platforms, a year into the pandemic”
Gradient Flow #28: Metadata, Speech Synthesis + NLU, Data Science Tools
Subscribe • Previous Issues This edition has 446 words which will take you about 3 minutes to read. “The single biggest problem in communication is the illusion that it has taken place.” – George Bernard Shaw Data Exchange podcast Tools for building robust, state-of-the-art machine learning models Mike Mahoney is affiliated with several groups within UCContinue reading “Gradient Flow #28: Metadata, Speech Synthesis + NLU, Data Science Tools”
Speech synthesis technologies will drive the next wave of innovative voice applications
Deep learning is revolutionizing text-to-speech and speech synthesis technologies. By Yishay Carmiel and Ben Lorica. Introduction Recent progress in natural language processing (NLP) and speech models have made voice applications accessible to companies across industries. From smartphone applications and personal assistants to sales and customer support to smart home speakers and appliances, voice applications haveContinue reading “Speech synthesis technologies will drive the next wave of innovative voice applications”
The Growing Importance of Metadata Management Systems
Metadata will be the foundation for data governance solutions, data catalogs, and other enterprise data systems. By Assaf Araki and Ben Lorica. Introduction As companies embrace digital technologies to transform their operations and products, many are using best-of-breed software, open source tools, and software as a service (SaaS) platforms to rapidly and efficiently integrate newContinue reading “The Growing Importance of Metadata Management Systems”
Gradient Flow #27: 2021 Trends Report, the Edge, and ML in the Sciences
Subscribe • Previous Issues This edition has 363 words which will take you about 2 minutes to read. “It takes muscle to do hard things, and muscle gets built by doing hard things.” – Dan Rose. Data Exchange podcast Bringing AI and computing closer to data sources I discuss the state of edge computing with Bruno Fernandez-Ruiz,Continue reading “Gradient Flow #27: 2021 Trends Report, the Edge, and ML in the Sciences”
Jumpstart the Next Phase of Your Data Strategy
The inaugural Datanova conference will feature solutions and architectures to help companies get maximum value from their data. By Jenn Webb and Ben Lorica. Since the advent of the first big data management systems over a decade ago, the trends that led to the rise of big data technologies have accelerated. Companies today are facingContinue reading “Jumpstart the Next Phase of Your Data Strategy”
2021 Trends Report: Data, Machine Learning, and AI
By Ben Lorica, Mikio Braun, Jenn Webb. At the beginning of each year, we take stock of the year’s technological developments in areas around big data, analytics, machine learning, and AI. We identify trends and share our predictions for where we’ll see growth and development in the coming year. Here are some of the topicsContinue reading “2021 Trends Report: Data, Machine Learning, and AI”
Gradient Flow #26: Multi-cloud Native, Next-gen BI and Analytics, AI Advancements
Subscribe • Previous Issues This edition has 424 words which will take you about 3 minutes to read. “People get burned-out not because they’re working too hard but because they’re not feeling rewarded by the work they’re doing. They get burned-out because they believe their work has no impact. … Burnout is when the creative part ofContinue reading “Gradient Flow #26: Multi-cloud Native, Next-gen BI and Analytics, AI Advancements”
The Emergence of Multi-cloud Native Applications and Platforms
As companies go multi-cloud, a new set of tools simplify IT management and application development. By Ben Lorica and Ion Stoica. [This post originally appeared on the Anyscale blog.] In a previous post we examined current serverless computing offerings and described why Ray is an ideal substrate for general purpose computing platforms. While serverless hasContinue reading “The Emergence of Multi-cloud Native Applications and Platforms”