Tag: streaming

Feed: MemSQL Blog. Author: Rick Negrin. There is a trend in industry which says that modern applications need to be built on top of one or more special-purpose databases. That every application benefits from using the best-of-breed technology for each requirement. And that the plethora of special-purpose options available from certain cloud providers is reasonable to manage. That’s all BUNK. The reality is that navigating the choices, figuring out how to use them effectively, and dealing with the ETL and inevitable data sprawl, is so difficult that the pain far outweighs any technical advantage you might get. In the vast ... Read More

Feed: Microsoft Azure Blog. Author: John 'JG' Chirapurath. Enterprises today are transforming their businesses using Machine Learning (ML) to develop a lasting competitive advantage. From healthcare to transportation, supply chain to risk management, machine learning is becoming pervasive across industries, disrupting markets and reshaping business models. Organizations need the technology and tools required to build and deploy successful Machine Learning models and operate in an agile way. MLOps is the key to making machine learning projects successful at scale. What is MLOps ? It is the practice of collaboration between data science and IT teams designed to accelerate the entire ... Read More

Feed: SAS Blogs. Author: Claudio Broggio. AI innovations range from unique modelling techniques and computer vision efforts to medical diagnostic tools and self-driving cars. Within that wide range of technology, what should you consider patenting? Which of your discoveries are true intellectual property that necessitate protection? A little thought upfront could help you to know what action to take to protect your most valuable innovations. Intellectual property, machine learning and generative adversarial networks Intellectual property and AI Do not doubt that plenty of people are already protecting their artificial intelligence inventions. Since the 1960s, over 300,000 applications for AI-related patents ... Read More

Feed: Matillion. Author: Julie Polito; We talk a lot about modern ETL, as opposed to the way that traditional ETL has worked since the technology emerged a few decades ago. But how has ETL actually changed? Here are a few ways in which they differ, and why it may be time to update the way you think about – and perform – ETL.   The basics of the ETL process   As its name suggests, the ETL process does three things:   It extracts raw data from multiple siloed sources.   It transforms that data to ensure consistency at its ... Read More

Feed: SAS Blogs. Author: Leo Sadovy. Where in your business process can analytics and AI play a contributing role in enhancing your decision making capability?  At the information interpretation stage.  As a framework for understanding where analytic and AI opportunities may arise, the simple diagram below illustrates the relationships between data, information and knowledge, and how you get from one end to the other.  The key is how you come to understand the arrows (the verbs)  that link the three primary concepts (the nouns). Information is organized data.  The same data can be organized differently to yield different information sets ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: kevin-oliver; Let’s be honest: no one wakes up in the morning excited to go through a procurement process. This reaction can be particularly true where data management is concerned. When quick responses to market changes are necessary, it’s essential to be able to adjust your architecture rapidly without procurement delays.Completing these adjustments may be easier than you think. Single-license platforms exist that cover a breadth of data management offerings and provide the flexibility necessary to address changes as they arise. In fact, platforms like these can be so fluid ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: ajit jaokar. Introduction The deployment of Machine Learning and Deep Learning algorithms on Edge devices is a complex undertaking. In this post, I list the strategies for deploying AI to Edge devices end-to-end i.e. for the full pipeline covering machine learning (building modules) and deployment (devops) I welcome your comments on additional ideas that could be included. In subsequent posts, I will elaborate these ideas in detail and ultimately, this will a free book on Data Science Central. I will take a use-case based approach i.e. each section would start with ... Read More

Feed: Microsoft Azure Blog. Author: James Ding. Anomaly detection plays a vital role in many industries across the globe, such as fraud detection for the financial industry, health monitoring in hospitals, fault detection and operating environment monitoring in the manufacturing, oil and gas, utility, transportation, aviation, and automotive industries. Anomaly detection is about finding patterns in data that do not conform to expected behavior. It is important for decision-makers to be able to detect them and take proactive actions if needed. Using the oil and gas industry as one example, deep-water rigs with various equipment are intensively monitored by hundreds ... Read More

Feed: Redis Labs. Author: Sheryl Sage. (As organizations look to modernize their applications, many are turning to a microservices architecture to deconstruct their legacy apps into collections of loosely coupled services. This profound change inspired us to reach out to Redis Labs customers in various stages of this journey to microservice architectures. We will be telling their microservices stories in a series of blog posts in the coming weeks.)When Mutualink looked to modernize its Interoperable Response and Preparedness Platform (IRAPP), the company’s IT team turned to a microservices architecture to enable dozens of technology components to work seamlessly together. That’s ... Read More

Feed: Recent Announcements. FileNet Content Manager enables you to create business apps with embedded content services, including content governance and lifecycle management, external file sharing, content collaboration, and video streaming.  This deployment uses the Amazon EKS Architecture Quick Start as a foundation for a fully managed and certified Kubernetes-conformant control plane for FileNet Content Manager.  This Quick Start uses Amazon Elastic Compute Cloud (Amazon EC2), Amazon Elastic File System (Amazon EFS), Amazon Elastic Kubernetes Service (Amazon EKS), and AWS CloudFormation to launch Kubernetes and IBM FileNet Content Manager version 5.5.3 for a container environment.  This deployment includes Amazon Elastic File ... Read More