Tag: application

Feed: CIO. Author: . The perception that the disruptions of 2020 would result in IT projects being stalled or retired hasn’t played out. Rather, it’s the opposite. While overall IT budgets have declined, in areas critical to business health, such as digital transformation, investment is booming. IDC data suggests that spending on digital transformation projects will grow 10.4 per cent for the year.The reason behind the investment ranges from organisations looking to fortify their business resilience through the disruption (for example, by allowing staff to work remotely), through to a desire to prepare the business for the other end of ... Read More

Feed: Cloudwards. Author: Robin Barber; How to Transfer Photos From Dropbox to Google Photos in 2020 Search Whether you’re always looking for the best deals or you want as much free storage as possible, it’s important that you have an easy way to move photos from one cloud service to another. In this article, we’ll go through the best ways to transfer your photos from Dropbox to Google Photos without spending too much time or money. There are many reasons why you might choose to move your photos to a different cloud storage provider. It could be that you’re concerned ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: AI. Mobile applications based on machine learning are reshaping and affecting many aspects of our lives. Implementing machine learning on mobile devices faces various challenges, including computational power, energy, latency, low memory, and privacy risks. In this article, we investigate the current state of implementing machine learning for mobile applications, providing an overview of five architectures commonly used for this purpose and the ways in which they address the given challenges. We also discuss their pros and cons, providing recommendations for each architecture. Additionally, we review recent studies, popular toolkits, cloud ... Read More

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: 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: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  Some industries are a clear slam-dunk for AI/ML applications and some less so.  The legal, regulatory, and compliance businesses (law firms, internal legal departments, and the contract review and regulatory compliance departments of heavily regulated industries) fall in this last category.  This is a review of seven companies found by TopBots to be successful; pointing to opportunities others can follow. Remember just a few years ago when we were looking forward to now or a little beyond and imagining what applications AI/ML would have in different industries.  Some ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Yusuf Ali. By Yusuf Ali, Solution Architect & Delivery Lead – FujitsuBy Rob Evans, Application Transformation Product Manager – FujitsuBy Eric Payeur, Director – Head of Application Modernization, Mainframe Migration – FujitsuBy Serge Moro and Addy Dubhashi – AWS In the last two decades, the financial services market has been undergoing significant transformation driven by the competition of new market entrants, customer demand, and regulation. This transformation is powered by new technology, including cloud services. Furthermore, COVID-19 has brought severe disruption to traditional operations and raised the need of accelerated digital engagement and ... Read More

Feed: AWS Public Sector Blog. Author: Subash D'Souza. Modern data engineering covers several key components of building a modern data lake. Most databases and data warehouses, to an extent, do not lend themselves well to a DevOps model. DataOps grew out of frustrations trying to build a scalable, reusable data pipeline in an automated fashion. DataOps was founded on applying DevOps principles on top of data lakes to help build automated solutions in a more agile manner. With DataOps, users apply principles of data processing on the data lake to curate and collect the transformed data for downstream processing. One ... Read More

Feed: Recent Announcements. The new application tier for Java adds to the existing options for .NET, .NET Core, multiple databases and custom applications furthering your ability to easily and quickly add application monitoring for your enterprise workloads. The Java tier adds JMX metric collection for over a dozen important Java application metrics including number of threads, memory used and garbage collection. The full list of Java metrics can be found here. These metrics allow CloudWatch Application Insights to alert you when there are issues that could impact the health or performance of your Java applications. Amazon CloudWatch Application Insights provides simple ... Read More