Tag: Enterprise

Feed: erwin Expert Blog – erwin, Inc.. Author: Mariann McDonagh. As the amount of data grows exponentially, organizations turn to data intelligence to reach deeper conclusions about driving revenue, achieving regulatory compliance and accomplishing other strategic objectives.It’s no secret that data has grown in volume, variety and velocity, with 2.5 quintillion bytes generated every day and 90 percent of the world’s data volume created just in the last two years. This data explosion has overwhelmed most organizations, making it nearly impossible for them to manage much less put to smart, strategic use. How do you identify the time-sensitive, relevant insights ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Howard M Wiener. A recent Wall Street Journal article, entitled Coronavirus Pandemic Helps Speed More CIOs Toward Business Operations Accountability, observed: “Large businesses are starting to hold their chief information officers accountable for the results of corporate-wide digital business operations, giving them much wider responsibility within the organization. . . Gartner, which last month released its annual list of top strategic predictions, said that by 2024, a quarter of the CIOs working in large, traditional enterprises will effectively become, as the research and advisory firm calls it, ‘COO by proxy.’” The ... Read More

Feed: R-bloggers. Author: tomaztsql. [This article was first published on R – TomazTsql, 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. Azure Databricks is a data analytics platform (PaaS), specially optimised for Microsoft Azure cloud platform. Databricks is an enterprise-grade platform service that is unified for data lake architecture for large analytical operations. Azure Databricks combines: large scale data processing for batch loads and streaming datasimplifies and accelerates collaborative work among data scientists, ... Read More

Feed: R-bloggers. Author: eoda GmbH. As digitalization progresses and data science interfaces continue to grow, new opportunities are constantly emerging to reach the personal analysis goals. Despite the „modernity“ of the industry, there is now a wealth of software for every need: From the design of the analysis infrastructure to the complete, decentralized evaluation through e.g. cloud computing (the outsourced evaluation of analysis scripts). Especially for companies that are just beginning to gain a foothold in the data science and analytics world, it is often difficult to select the appropriate tools and processes for their analysis workflow. But first and ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  There is now sufficient experience among mid and large sized companies starting their AI journey to identify a single best practice for moving from AI experimentation to scale-up: the AI COE (Center of Excellence).   If you are a mid-sized business, government organization, or educational institution chances are pretty much 100% that you already have AI somewhere in your company.  AI is embedded in so many modern applications that some version of NLP, machine vision, text recognition, or a recommender or behavioral predictor of some sort is already ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Dave McCann. By Dave McCann, VP of Migration, Marketplace, and Control Services at AWS At Amazon Web Services (AWS), we see customers increasingly turn to AWS Marketplace to modernize the software they use, and to transform their software supply chain. AWS Marketplace is a digital catalog with more than 7,000 software listings from over 1,700 independent software vendors (ISVs) that makes it easy to find, test, buy, and deploy software that runs on AWS. If you’re an ISV, we are dedicated to helping you simplify software procurement. We also want to help you ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Jobin George. By Jobin George, Sr. Partner Solutions Architect at AWSBy Deepak Ram, Director, Strategic Solutions at InformaticaBy Louis-Noël Trapadoux, Principal Product Manager at Informatica Systems are growing more complex, cloud applications are growing in adoption, and cloud data lakes are being increasingly deployed. At the same time, organizations need to implement data cataloging solutions to provide data governance, data analytics, or pure metadata management. These cataloging solutions should be able to quickly start providing insights so they can drive adoption. This adoption would, in turn, provide additional insight into the data assets ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Kirsten Lloyd. There are several narratives that permeate around AI today. It has great promise, but it is not without pitfalls. Many early adopters have invested millions, but remain unimpressed and discouraged by the lack of returns thus far. With that said, and despite the challenges, the community has identified the problematic areas in the process, and a solution is emerging to getting through last mile AI challenges to scale to the enterprise: ModelOps. ModelOps tools manage the last mile delivery challenges associated with deploying, managing, and monitoring AI models into ... Read More

Feed: Planet MySQL; Author: Oracle MySQL Group;   Introduction MySQL is the most popular open-source database and many organizations choose MySQL to store their valuable enterprise data. MySQL is optimized for OLTP, but it is not designed for analytic processing. As a result, organizations which need to efficiently run analytics on data stored in MySQL database move their data to another database to run analytic applications. This approach of moving data to another database introduces complexity and additional cost for customers in multiple ways: Applications need to define complex logic for extracting relevant data from MySQL. The extracted data needs ... Read More

Feed: AWS Public Sector Blog. Author: Maggie Carter. “I’m constantly confronted with the fact that there is a certain perception of me as someone who is dangerous and untrustworthy because I’ve been incarcerated. So we really have to put our energy into this work to uplift the communities that have been affected by systemic racism and mass incarceration and to allow people like myself to have a future and to dream that there could be something better for us and that we can fulfill our potential. We can’t do that without having a pathway to meaningful employment.” – Aedan Macdonald, ... Read More