Tag: governance

Feed: Domo Blog. Author: International Data Group. Most organizations have spent considerable resources acquiring, creating, and collecting data. And yet experts estimate that up to 80% of this data is “dark data,” meaning it sits unseen and unused in segmented silos. Every business, no matter what size, has an accumulation of dark data sitting in repositories like spreadsheets on employees’ desktops, data warehouses, and non-relational databases. At the same time, increasing volumes of data are generated every day, including machine and sensor data from the Internet of Things (IoT). All of this dark data has potential for value. Imagine being ... Read More

Feed: Alation. Author: Talo Thomson. Talo Thomson active data governance, Alation, data catalog, enterprise data catalog March 5, 2021 — Data governance defines how data should be gathered and used within an organization. It address core questions, such as: How does the business define data? Where does it live? How accurate must the data be for use? Who can use it? How can they use it? Such questions inform the governance rules and principles, which seek to maintain the highest quality of data possible throughout its life cycle. Gartner defines information governance as, “the specification of decision rights and an ... Read More

Feed: Teradata Blog. The Big Tech giants dominate their markets by using data to improve product and experience with every interaction. Pulling on digital threads to connect data from every engagement and every touch point they ensure they capture, and keep, their customer’s attention.  The automotive industry can emulate this by analysing data from every journey to improve customer experience and guide individual choices.To do so, automotive OEMs must leverage connected vehicles, browsing behaviour and customer apps to connect to their end customers outside of dealership visits. In the traditional engagement model, the sum of all direct interaction with customers, ... Read More

Feed: SAS Blogs. Author: Josefin Rosén. A key component to make sure that we develop responsible AI is diversity. This is because an AI application reflects and even amplifies the biases of its developers. As I discussed in my previous post, a diverse team will see things from many different points of view and help to reflect many different perspectives in the data.  What can we do besides making sure our teams are diverse? Without claiming to have the complete answer, I would like to share some thoughts. Look into the data! Define the problem and your goals. For example, ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Jeremy Arnon. By Jeremy Arnon, Sr. Partner Development Manager at AWS Since our inception, Amazon Web Services (AWS) has believed the most important companies of tomorrow are the startups of today. Startups are the lifeblood of innovation. They are the risk-takers who solve complex problems. They are the dreamers who can disrupt entire industries. At AWS, we believe in the power of startups and are proud to support them every step of the way. Through the AWS Partner Network (APN) Global Startup Program, we are helping hundreds of VC-backed ISVs accelerate their growth ... Read More

Feed: AWS Big Data Blog. Tens of thousands of customers use Amazon EMR to run big data analytics applications on Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto at scale. Amazon EMR automates the provisioning and scaling of these frameworks, and delivers high performance at low cost with optimized runtimes and support for a wide range of Amazon Elastic Compute Cloud (Amazon EC2) instance types and Amazon Elastic Kubernetes Service (Amazon EKS) clusters. Amazon EMR makes it easy for data engineers and data scientists to develop, visualize, and debug data science applications with Amazon EMR Studio ... Read More

Feed: SAS Blogs. Author: Susan Kahler. I read analyst reports to keep myself up to date with what is going on in the analytics and AI world. An analyst report offers an unbiased, side-by-side, third-party evaluation of the technology in the market. I trust them because I have lived through the rigorous evaluation process that goes on behind the scenes for creating those reports. The recently released 2021 Gartner MQ for Data Science and Machine Learning contains a wealth of information and here are my takes on key market trends from that report for data scientists. This evaluation features SAS ... Read More

Feed: The Connector by Workato. Author: Jon Gitlin; As your organization aims to retain top talent and high-value clients, you’ll need to continually provide both groups with world-class experiences.  In the case of clients, it can be addressing their questions and concerns in real-time, and reaching them proactively with thoughtful, actionable insight; while for employees, it can be eliminating the manual tasks they perform day-to-day, as well as providing them the apps and equipment they need, quickly, and with little effort. To deliver these experiences and to go beyond them, you can build workflow automations across your core customer and ... Read More

Feed: Journey to AI Blog; Author: Rathnakumar Udayakumar; The latest Gartner Magic Quadrant for Data Science and Machine Learning Platforms has just been released, and IBM is delighted to be recognized as a Leader in the space. Watson Studio on IBM Cloud Pak for Data, a modular, open and extensible platform for data and AI that combines a broad set of descriptive, diagnostic, predictive and prescriptive capabilities. Organizations seeking to more efficiently run and manage AI models, simplify their AI lifecycle management, and empower their data scientists with technology that can help optimize their data-driven decision-making can turn to IBM ... Read More

Feed: erwin Expert Blog – erwin, Inc.. Author: Mariann McDonagh. Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value.It is the foundation for regulatory compliance and de-risking operations for competitive differentiation and growth. However, while digital transformation and other data-driven initiatives are desired outcomes, few organizations know what data they have or where it is, and they struggle to integrate known data in various formats and numerous systems – especially if they don’t have a ... Read More