Tag: analytics

Feed: R-bloggers. Author: Econometrics and Free Software. Some weeks ago I tweeted this: GUIs were a mistake — Bruno Rodrigues (@brodriguesco) October 9, 2020 you might think that I tweeted this as an unfunny joke, but it’s not. GUIs were one of the worstthings to happen for statisticians. Clickable interfaces for data analysis is probably one of thegreatest source of mistakes and errors in data processing, very likely costing many millions tocompanies worldwide and is a source of constant embarassment when mistakes happen which cost thereputation, and money, of institutions or people. Remember the infamous Excel mistake by Reinhard and ... Read More

Feed: Cloudwards. Author: Aleksandar Kochovski; Data loss is a major issue facing companies and organizations. As the internet of things expands, so does the number of devices you use for work. The data produced and stored on these devices can lead to your important business files getting lost in a sea of redundancy. That’s called data sprawl. The increasing trend for remote work has exacerbated this problem like never before. Home computers and personal mobile gadgets are entering the arsenal of work devices as companies move to virtual offices, further complicating things. Key Takeaways: Every app and device your team ... Read More

Feed: R-bloggers. Author: Michael Griebe. [This article was first published on R – Fantasy Football Analytics, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't ... Read More

Feed: SAS Blogs. Author: Lindsay Marshall. You look to the cloud for several reasons – to meet your cloud-first strategy, for scalability or to adapt quickly to changing business demands. Maybe all three.   Perhaps you need offerings to be available in various regions, or to reduce application response time and improve latency problems. Perhaps regulatory and compliance constraints are limiting (or mandating) the physical locations where your data can be stored and transmitted. This is why having a global data footprint is beneficial.  An important partnership for modern managed services   Managed services enable you to better address geographical constraints while staying on current software releases, improving the efficiency and dependability of your software, as well as freeing your IT staff to work on more strategic projects.    In June, 2020, SAS announced a strategic partnership with Microsoft .  An important aspect of our partnership is the ability to migrate and ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  Let’s start by clarifying the difference between RPA (Robotic Process Automation) and IA (Intelligent Automation).  Then we’ll show why AI/ML inside Intelligent Automation is the secret sauce that really makes this work. As we’ve tracked the adoption of AI/ML across industries the application that always seems to lead is RPA (Robotic Process A..., sometimes also referred to as IA (Intelligent Automation).  The problem with giving credit for AI/ML adoption to RPA is that RPA historically has meant robotic process simplification.  That is, processes were indeed automated but it ... Read More

Feed: AWS Public Sector Blog. Author: Elliot Stewart. The COVID-19 pandemic is driving a parallel “infodemic”: the rapid spread of competing and often harmful narratives about the virus. Social media plays a central role in this infodemic, serving as a forum for the spread and evolution of theories and beliefs with origins in broadcast, print, online news, blogs, and other digital arenas. The ability of decision-makers to understand the role of social media in spreading ideas and beliefs is limited by the scale of activity on these platforms, where users produce millions of posts per day. To help navigate this ... Read More

Feed: What's New. Author: Sarah Wachter. We were excited to release Predictive Modeling Functions in 2020.3, empowering Tableau users with predictive statistical functions accessible from the native Tableau table calculation interface. We put powerful predictive analytics right into the hands of business users, keeping them in the flow of working with their data. Users can quickly build statistical models and iterate based on the prediction quality, predict values for missing data, and understand relationships within their data.  However, we knew that a significant use case was still challenging. Surprising exactly no one, a key use case for predictive modeling is ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Kurt Cagle. From the Editor's Desk One of the biggest impacts the pandemic has had is the complete turmoil that it has left of the educational system in most countries. Extended lockdowns and the need for social distancing have played havoc with the traditional mode of gathering students together into classrooms led by teachers working from blackboards. What has replaced it has been virtual classrooms - teachers reaching out to students at their homes, instructional materials morphed into web portals, interactive demos, zoom meetings, and tracking of progress through cloud-based data ... Read More

Feed: Recent Announcements. You can access the Apache Flink dashboard via a browser by clicking on the ‘Apache Flink Dashboard’ button on the Kinesis Data Analytics console or by calling the service’s new CreateApplicationPresignedURL API. The dashboard is enabled by default for all Kinesis Data Analytics for Apache Flink applications and includes data on Apache Flink job performance and critical application health such as watermarks, checkpoints, and backpressure.  Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time with Apache Flink. Apache Flink is an open source framework and engine for processing data ... Read More

Feed: Recent Announcements. With this launch, Kinesis Data Analytics supports JDK 11 and Scala 2.12, with support for Python coming soon. Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time with Apache Flink. Apache Flink is an open source framework and engine for processing data streams. Amazon Kinesis Data Analytics reduces the complexity of building and managing Apache Flink applications. Amazon Kinesis Data Analytics for Apache Flink integrates with Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Kinesis Data Streams, Amazon Elasticsearch Service, Amazon DynamoDB streams Amazon S3, custom integrations, and ... Read More