Check out the Strata Data and Artificial Intelligence conference series, which cover the topics and key issues discussed in this post. Whether you're a business leader or a practitioner, here are key data trends to watch and explore in the months ahead. In a recent O'Reilly survey, we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. The demand for data skills ("the sexiest job of the 21st century") hasn't dissipated. LinkedIn recently found that demand for data scientists in the US is "off the charts," and our survey indicated that the demand for data scientists and data engineers is strong not just in the US but globally.
Get expert knowledge on the tools and technologies you need to put your data strategies to work. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in London earlier this year. I will highlight the results of a recent survey on machine learning adoption, and along the way describe recent trends in data and machine learning (ML) within companies. This is a good time to assess enterprise activities, as there are many indications a number of companies are already beginning to use machine learning. For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production.
People from across the data world came together in New York for the Strata Data Conference. Below you'll find links to highlights from the event. Rob Thomas and Tim O'Reilly discuss the hard work and mass experimentation that will lead to AI breakthroughs. Get a free trial today and find answers on the fly, or master something new and useful. Cassie Kozyrkov offers actionable advice for taking advantage of machine learning, navigating the AI era, and staying safe as you innovate.
Check out the Strata Data and Artificial Intelligence conference series, which cover the topics and key issues discussed in this post. Here are key AI trends business leaders and practitioners should watch in the months ahead. While full automation might still be a ways off, there are many workflows and tasks that lend themselves to partial automation. In fact, McKinsey estimates that "fewer than 5% of occupations can be entirely automated using current technology. However, about 60% of occupations could have 30% or more of their constituent activities automated."
This is a keynote highlight from the Strata Data Conference in New York 2019. You can also see other highlights from the event. Get a free trial today and find answers on the fly, or master something new and useful. Receive weekly insight from industry insiders--plus exclusive content, offers, and more on the topic of AI. Receive weekly insight from industry insiders--plus exclusive content, offers, and more on the topic of AI.