This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Machine learning concerns in Silicon Valley tend to be different from those elsewhere in the U.S. — and outside of the U.S. So, here are five tips for those hearing about machine learning efforts in Silicon Valley, but who work elsewhere. These suggestions consider where machine learning and data science are headed on a large scale — as opposed to the fascinating (but often narrow) research happening in Silicon Valley.
VEDA — Verizon Enterprise Data Analytics—is an enterprise organization that addresses data management, data governance, data warehousing and data lakes and common analytical and AI technologies.
Leave it to the Software! Predictive Analytics for the Faint of Heart! Assisted Predictive Modeling , Predictive Analytics. Those terms strike terror in the hearts of most business users, and that is understandable. These mysterious-sounding terms sound complicated and lead business users to imagine confounding, confusing algorithms, and endless strings of numbers.
One of the most popular shows in the early years of television was hosted by Art Linkletter, which included a segment called “Kids say the darndest things.” Linkletter would have conversations with young children who could be counted on to say things that adults found entertaining. I’ve experienced my own version of this in recent years that could be described as “Researchers say the darndest things.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Organizations everywhere, from massive governments to the smallest start-ups, are in a race for the best-possible data expertise and tools. To help your team understand the data science journey, IBM created the Data Science for All webcast.
What’s more terrifying, knowing that you just lost your identity or unknowingly being manipulated? While they both seem awful, they are the reality of the digital world that we live in, just look at the news. With countless articles discussing the recent Equifax hack where thousands of social security numbers were compromised to organizations like Facebook, Google, and Twitter coming forward with Russian accounts that were buying ads to influence US elections.
What’s more terrifying, knowing that you just lost your identity or unknowingly being manipulated? While they both seem awful, they are the reality of the digital world that we live in, just look at the news. With countless articles discussing the recent Equifax hack where thousands of social security numbers were compromised to organizations like Facebook, Google, and Twitter coming forward with Russian accounts that were buying ads to influence US elections.
State and local government organizations in the U.S. face daunting IT challenges as they look to improve service delivery while controlling costs. Key obstacles they face are a reliance on older IT systems, lack of skilled employees and inadequate budgets.
Long before humans go to the moon or Mars, we'll need to send unmanned missions to establish the early infrastructure. Don Haderle, a scholar of the mainframe, recently suggested that mainframe computer systems will become the obvious solution for the moon, Mars, and beyond. Learn why.
Data rules the world, but who rules the data? The companies that collect it? The servers that store it? The cables and satellites that transmit it? Or the laws that keep it flowing into the right hands—and away from the wrong ones? Welcome to the world of data governance.
Cloudera Data Science Workbench (CDSW) is a self-service collaboration platform for data scientists. It offers: Secure access to Cloudera data. On-demand compute. Support for Python, R, and Scala. Workflow automation, version control, and sharing. GPU acceleration for deep learning on demand. Now, with Release 1.2, CDSW is easier than ever to deploy and manage.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
In most modern-day organizations, external macros tend to be very influential — leaving little bandwidth for optimizing data governance. And, as stricter data storage and security compliance regulations come into play, it's becoming more and more critical for organizations to ensure they have the right data and that it's properly stored and managed, both for compliance and insights.
Information analytics has never been a “one size fits all” proposition. That applies to the hardware and software technologies organizations employ, the information being parsed and the goals of specific projects.
As the market moves toward cloud-based big data and analytics, three qualities emerge as vital for success. While many services will get some traction without meeting all three goals, they will also disappoint users and cause perpetual headaches for IT. At Cloudera, we see these undisputable attributes to be: Easy – Certainly no one goes out looking for a harder way to do their job.
We organize all of the trending information in your field so you don't have to. Join 42,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
89 
Let's personalize your content