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
The O’Reilly Data Show Podcast: Alan Nichol on building a suite of open source tools for chatbot developers. In this episode of the Data Show , I spoke with Alan Nichol , co-founder and CTO of Rasa , a startup that builds open source tools to help developers and product teams build conversational applications. About 18 months ago, there was tremendous excitement and hype surrounding chatbots, and while things have quieted lately, companies and developers continue to refine and define tools for b
Today's manufacturing organizations operate in a dynamic environment characterized by increased complexity and uncertainty. The financial performance of manufacturers hinges on their ability to rapidly adapt to constantly-changing conditions, from demand fluctuations to delivery challenges while managing production costs efficiently. Prescriptive analytics helps companies see where process improvements could have the biggest, most immediate impact on their bottom line.
This week, Gartner hosted its annual Security & Risk Management Summit in London and the buzz at the event centered on the new risks associated with the General Data Protection Regulation (GDPR). The discussion was fueled by the recent cyber attack experienced by British Airways (BA). BA disclosed the data breach just prior to our event and it was headline news in London throughout the week.
It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Last night we kicked it off with the sixth annual Data Impact Awards Celebration. These awards recognize organizations that transform complex data into actionable insights and illustrate impact to technology, science, health, lifestyle, and
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.
If we’re going to think about the ethics of data and how it’s used, then we have to take into account how data flows. Data, even “big data,” doesn’t stay in the same place: it wants to move. There’s a long history of language about moving data: we have had dataflow architectures, there's a great blog on visualization titled FlowingData , and Amazon Web Services has a service for moving data by the (literal) truckload.
Lunewave's Hao Xin writes, "As a kid, I dreamed about the flying cars and jetpacks that would hopefully define our future lives. Up until recently, the technology that could make them even remotely possible was both expensive and difficult to manufacture. Now, thanks to 3-D printing and machine learning, engineers can quickly and cost effectively design, test and commercialize new designs, making the era of autonomous vehicles — yes, even flying cars — closer to reality than ever.".
A service provider or vendor might want to publish multiple copies of a report that should connect to different database servers or databases. In a true multitenant service solution, we would have a singe database with row-level user mapping tables that filter data by the logged in user.
A service provider or vendor might want to publish multiple copies of a report that should connect to different database servers or databases. In a true multitenant service solution, we would have a singe database with row-level user mapping tables that filter data by the logged in user.
Among the many reasons that a majority of large enterprises have adopted Cloudera Data Warehouse as their modern analytic platform of choice is the incredible ecosystem of partners that have emerged over recent years. In this new blog series, we will take a closer look at some of the most innovative partners, and how the Cloudera platform is helping them deliver groundbreaking solutions to our customers.
No Guesswork! Just Simple, Assisted Predictive Modeling for Every Business User! No matter the market or type of business, there is no room in today’s business landscape for guesswork. You can’t get a business loan, join with a business partner, successfully bid on a project, open a new location, hire the right employees or plan for the future without predictive analytics.
by Jen Underwood. Note: Thank you to Ariel Pohoryles, Director of Product Marketing at Dundas Data Visualization, for sharing the following educational guest article on advanced visualizations. I’ll be following this one up. Read More.
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
Authors: David Bericat, Global Technical Lead, Internet of Things, Red Hat and Jonathan Cooper-Ellis, Solutions Architect, Cloudera. Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.
Ziya Ma discusses how recent innovations from Intel in high-capacity persistent memory and open source software are accelerating production-scale deployments. Continue reading Derive value from analytics and AI at scale.
Smarten Augmented Analytics supports Citizen Data Scientists with NLP, Self-Serve Data Prep, Smart Data Visualization, Assisted Predictive Modeling and more! You can find other educational resources by browsing our Augmented Analytics Videos and Augmented Analytics Learning pages.
Chad Jennings explains how Geotab's smart city application helps city planners understand traffic and predict locations of unsafe driving. Continue reading Smarter cities through Geotab with BigQuery ML and geospatial analytics.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
Amber Case covers methods product designers and managers can use to improve interactions through an understanding of sound design. Continue reading Sound design and the future of experience.
It has become much more feasible to run high-performance data platforms directly inside Kubernetes. Kubernetes is really cool because managing services as flocks of little containers is a really cool way to make computing happen. We can get away from the idea that the computer will run the program and get into the idea that a service happens because a lot of little computing just happens.
Watch highlights from expert talks covering data science, machine learning, algorithmic accountability, and more. People from across the data world are coming together in New York for the Strata Data Conference. Below you'll find links to highlights from the event. The future of data warehousing. Executives from Cloudera and PNC Bank look at the challenges posed by data-hungry organizations.
Joseph Lubin explains how Ethereum can help with new innovations like cryptocurrencies, automated and self-executing legal agreements, and self-sovereign identity. Continue reading The power of Ethereum.
GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
Jacob Ward reveals the relationship between the unconscious habits of our minds and the way that AI is poised to amplify them, alter them, maybe even reprogram them. Continue reading Black box: How AI will amplify the best and worst of humanity.
Julia Angwin discusses what she's learned about forgiveness from her series of articles on algorithmic accountability and the lessons we all need to learn for the coming AI future. Continue reading Quantifying forgiveness.
Dinesh Nirmal explains how AI is helping supply school lunch and keep ahead of regulations. Continue reading Wait. pizza is a vegetable? Decoding regulations using machine learning.
ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
Ben Lorica offers an overview of recent tools for building privacy-preserving and secure machine learning products and services. Continue reading Preserving privacy and security in machine learning.
DD Dasgupta explores the edge-cloud continuum, explaining how the roles of data centers and cloud infrastructure are redefined through the mainstream adoption of AI, ML, and IoT technologies. Continue reading AI, ML, and the IoT will destroy the data center and the cloud (just not in the way you think).
Ted Dunning discusses how new tools can change the way production systems work. Continue reading The answer to life, the universe, and everything: But can you get that into production?
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Drew Paroski and Aatif Din share how to develop modern database applications without sacrificing cost savings, data familiarity, and flexibility. Continue reading Leveraging the best of the past to power a better future.
Ben Sharma shares how the best organizations immunize themselves against the plague of static data and rigid process Continue reading The data imperative.
Amanda Pustilnik highlights potential applications of data from new technologies that capture brain-based processes. Continue reading Brain-based human-machine interfaces: New developments, legal and ethical issues, and potential uses.
Machine learning. The very name suggests there’s little involvement required from actual people. It’s a bit surprising to note, then, that perhaps the most limiting factor in data science and machine learning today is people. People add complexity. People add the risk of error. And people add a lot of time. However, we’ll always need people to come up with the overarching prediction problems to solve and to make the ultimate choices to solve them, but there is a lot of data science work now that
Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
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.
Let's personalize your content