Tag: Patterns

Feed: R-bloggers. Author: Rstats on Jakub Nowosad's website. TLTR: Clustering similar spatial patterns requires one or more raster datasets for the same area. Input data is divided into many sub-areas, and spatial signatures are derived for each sub-area. Next, distances between signatures for each sub-area are calculated and stored in a distance matrix. The distance matrix can be used to create clusters of similar spatial patterns. Quality of clusters can be assessed visually using a pattern mosaic or with dedicated quality metrics. To reproduce the calculations in the following post, you need to download all of relevant datasets using the ... Read More

Feed: AWS Architecture Blog. ERGO is one of the major insurance groups in Germany and Europe. Within the ERGO Group, ERGO Technology & Services S.A. (ET&S), a part of ET&SM holding, has competencies in digital transformation, know-how in creating and implementing complex IT systems with focus on the quality of solutions and a portfolio aligned with the entire value chain of the insurance market. Business Challenge and Solution ERGO has a multi-account AWS environment where each project team subscribes to a set of AWS accounts that conforms to workload requirements and security best practices. As ERGO began its cloud journey, ... Read More

Feed: SAS Blogs. Author: Charlie Chase. Thanks to COVID-19, companies have experienced how challenging it can be to plan and maneuver their supply chains around an unforeseen disruption. While the pandemic was a once-in-a-lifetime event (we hope), the unfortunate truth is that less severe events have overwhelmed or undermined demand and supply planning in the past -- and will likely continue to do so. The biggest learning from this disruption? Legacy ERP (enterprise resource planning) systems are no longer up to the task of getting supply where it's needed in a timely and cost-effective manner. To achieve accurate forecasting and ... Read More

Feed: Cambridge Intelligence. Author: Matt Michel. In the first of this 2-part blog series, I’ll demonstrate how to create an interactive React application where a Neo4j timeline visualization and graph visualization work side-by-side.If you’re familiar with our graph visualization toolkits, you’ll know how easy it is to integrate with graph databases like Neo4j. KeyLines and ReGraph also work seamlessly with KronoGraph, our timeline visualization toolkit, to provide two powerful views of the same data.Combining graph and timeline visualization with your favorite database gives users new and exciting ways to analyze their most important datasets. A hybrid Neo4j timeline visualization and ... Read More

Feed: Journey to AI Blog; Author: Mehrnoosh Vahdat, PhD.; The collaboration of the IBM Data Science and AI Elite (DSE) with Rolls-Royce continues to yield significant results for the Emergent Alliance. This not-for-profit alliance supports innovation and resilience as organizations move toward a post-COVID-19 future. The team’s first project involved creating a risk-pulse index to help governments understand the impact of COVID-19 on several aspects of the economy. The IBM and Rolls-Royce team pressed on developing analytics tools to help policymakers better understand the data used to shape strategies in response to COVID-19. They aimed to provide further insights to ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . As promised today, this week we release the new self-service app for understanding your utilization of premium gen2 capacities – the most important tool to manage premium gen2 capacities. This app surfaces simple to understand utilization data that will highlight the drivers for your capacity’s utilization, help you plan your capacity needs and respond to changes in demand with confidence. if you are a capacity admin, you can get the app here or by clicking the “get app” button and searching for “Premium Utilization Metrics” Once installing the app, ... Read More

Feed: R-bloggers. Author: Paul van der Laken. Finding predictive patterns in your dataset with one line of code! Today — March 2nd 2021 — my first R package was published on the comprehensive R archive network (CRAN). ppsr is the R implementation of the Predictive Power Score (PPS). The PPS is an asymmetric, data-type-agnostic score that can detect linear or non-linear relationships between two variables. You can read more about the concept in earlier blog posts (here and here), or here on Github, or via Medium. With the ppsr package live on CRAN, it is now super easy to install ... Read More

Feed: Journey to AI Blog; Author: Keri Olson; As business conditions remain uncertain in 2021, modern organizations must thoughtfully consider how they will adapt. Unpredictable events like the COVID-19 pandemic and its associated economic turbulence have reshaped business landscapes in a way that underscores the importance for organizations to build plans that will withstand all types of disruption. In reality, many organizations were caught flat footed by the COVID-19 pandemic. With economic and regulatory environments changing overnight, many organizations did not have the processes or technologies in place to respond quickly enough to survive. In a world defined by such ... Read More

Feed: Journey to AI Blog; Author: Christie Schneider; Businesses across all industries understand the importance of streamlining and automating reporting, analytics, and scorecarding, in order to make the right decisions faster. However, the reporting process is typically manual, and leaves analysts one step behind. They are usually left to keep up with the collection of historical data, instead of focusing on how to optimize their business based on real-time data. More likely than not, organizations are using inflexible, legacy reporting technology solutions, such as spreadsheets and basic visualization tools. Therefore, tasks that should be easy, such as monthly reports, often ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Laura Jean. Data discovery is a term used to depict the interaction for gathering data from different sources by identifying patterns and variances with the assistance of guided advanced analytics and visual route of data, in this way permitting merging of all business data. Studies recommend that 79% of companies’ heads accept that they don't use big data in the correct manner will lose their position and could at last face termination. Besides, 83% of heads have sought after big data ventures to acquire a serious edge. Indeed, the most ideal ... Read More