Tag: analytics

Feed: SAS Blogs. Author: Hugo D'Ulisse. “We are at the cusp of one of the most exciting times in our lives and, if we get our strategy for AI right, then the UK will be able to reap the rewards for our economy for decades to come.” Greg ClarkSecretary of State for Business, Energy and Industrial Strategy  It feels like exciting times for government departments, both central and local, with artificial intelligence (AI) and all its promise of efficiency and smart decision making climbing up the strategic agenda. I know from experience with customers across the worlds of commerce and the ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  Whether you’re a data scientist building an implementation case to present to executives or a non-data scientist leader trying to figure this out there’s a need for a much broader framework of strategic thinking around how to capture the value of AI/ML. There are many articles written from a tools perspective about how to take advantage of specific capabilities of AI.  Those encompass for example chatbots from NLP or image classification based on CNNs.  To be clear, I’m talking about the expanded definition of AI that should more ... Read More

Feed: SAS Blogs. Author: Business Analytics Portugal. 92% dos líderes de IA formam as suas equipas em ética e 74% avalia, semanalmente, os resultados obtidos com a IA Se tivéssemos que destacar uma buzzword dos últimos tempos que vivemos escolheríamos Inteligência Artificial (IA). Uma tecnologia que, sem dúvida, nos transporta para outro patamar da chamada evolução tecnológica. Uma tecnologia com um potencial imenso e que garante melhorar as vidas de todos nós. Por ser algo novo, vai requerer uma adaptação dentro das organizações, mas que acreditamos se refletirá de forma positiva na produtividade. De que forma é encarada, pelos líderes empresariais, ... Read More

Feed: Alation. Author: Stephanie McReynolds. We live in an age of unprecedented speed and breadth of technological change. Since the year 2000, new discoveries are coming at a fast and furious pace in many technology sectors, including software, material science, neuroscience, and genetics. Innovations are also uniquely broad compared to other eras of technological innovation, spanning multiple technologies from innovations like genetically targeted cancer treatments to 3D bioprinting of tissue. Observers have called this “The Second Machine Age” and The Fourth Industrial Revolution.” In his book titled “The Fourth Industrial Revolution,” Klaus Schwab describes the age as, “characterized by a ... Read More

Feed: Planet MySQL; Author: Tony Darnell; Adding a replicated MySQL database instance using a Group Replication server as the source March 25, 2019 Leave a comment You say you want a Replication? One of the best features of MySQL is the ability to use MySQL‘s built-in database replication feature to automatically replicate data from one server (source/master) to another (slave/replica). Group Replication was added in MySQL 5.7 as a way to provide a high-availability solution using a new variation of MySQL replication. (In some earlier posts, I explained how to setup Group Replication using three MySQL database servers and how to ... Read More

Feed: R-bloggers. Author: Ryan Sheehy. Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Debbie Berebichez, a physicist, TV host and data scientist and is currently the Chief Data Scientist at Metis in NY. Hugo: Hi there, Debbie, and welcome to DataFramed. Debbie: Hi, Hugo. It’s a pleasure of mine to be here. Hugo: It is such a pleasure to have you on this show, and I’m really excited to be here today to talk in particular about critical thinking in data science, and what that actually means, and as we know, to get critical about critical thinking ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: satyajit maitra. BigQuery is Google’s serverless, highly scalable, enterprise data warehouse designed to make all your data analysts productive at an unmatched price-performance. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL without the need for a database administrator. Analyze all your data by creating a logical data warehouse over managed, columnar storage, as well as data from object storage and spreadsheets. Build and operationalize machine learning solutions with simple SQL. Easily and securely share insights within your organization and beyond as ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Civis Analytics. By Peter Cooman The path to D3 mastery is dark and full of terrors. D3 itself is a JavaScript (JS) library and on top of that, you’ll need a basic understanding of HTML (Hypertext Markup Language) and CSS (Cascading Style Sheets) to get the most out of it. If you’re a data scientist, chances are JavaScript, at best, ranks as your fourth language, after R, Python, and SQL. In this three-part series of blog posts, I will show you step-by-step how you can combine R with D3, HTML, and ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Igor Bobriakov. Grafana is an open-source, nightly built dashboarding, analytics, and monitoring platform that is tinkered for connection with a variety of sources like Elasticsearch, Influxdb, Graphite, Prometheus, AWS Cloud Watch, and many others. One of the biggest highlights of Grafana is the ability to bring several data sources together in one dashboard with adding rows that will host individual panels (each with visual type). Among the other pros are: Nice design of the visuals and interface; Comfortable to work on several sources; Easy to connect to the sources. However, Grafana ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Kartik Patel. As the need for advanced analytics increases in organizations, enterprises large and small struggle to find and sustain the professional resources they need to meet their requirements for data, analysis and strategic direction. In some businesses, Data Scientists, professional analysts and IT staff are often buried under requests for analysis and data and, as a result, these teams are unable to focus on strategic issues and on crucial questions that require 100% accuracy to drive the direction of the business. For other businesses, the issue is more pressing. When ... Read More