Google's Google Cloud division today announced it has made generally available two search functions that rely on machine learning techniques to help retailers who use its cloud service. Called Vision API product search and Recommendations AI, the two services are part of what Google has unveiled as a suit of functions called Product Discovery Solutions for Retail. The vision search function will let a retailer's customers submit a picture and received ranked results of products that match the picture in either appearance or semantic similarity to the object. Recommendations, said Google, is "able to piece together the history of a customer's shopping journey and serve them with customized product recommendations." Both are generally available now to retailers.
The edge of a network, as you may know, is the furthest extent of its reach. A cloud platform is a kind of network overlay that makes multiple network locations part of a single network domain. It should therefore stand to reason that an edge cloud is a single addressable, logical network at the furthest extent of a physical network. And an edge cloud on a global scale should be a way to make multiple, remote data centers accessible as a single pool of resources -- of processors, storage, and bandwidth. The combination of 5G and edge computing will unleash new capabilities from real-time analytics to automation to self-driving cars and trucks.
Google is offering a free course for people who are on the hunt for skills to use containers, big data and machine-learning models in Google Cloud. The initial batch of courses consists of four tracks aimed at data analysts, cloud architects, data scientists and machine-learning engineers. The January 2021 course offers a fast track to understand key tools for engineers and architects to use in Google Cloud. It includes a series on getting started in Google Cloud, another focussing on its BigQuery data warehouse, one that delves into the Kubernetes engine for managing containers, another for the Anthos application management platform, and a final chapter on Google's standard interfaces for natural language processing and computer vision AI. Participants need to sign up to Google's "skills challenge" and will be given 30 days' free access to Google Cloud labs.
Among the messages that Oracle is putting out for its flagship database, adding new access paths for developers has become just as important as adding new data types. This month, Oracle is launching the next version of Oracle Database, version 21c. In a session hosted by Andrew Mendelsohn, executive vice president of database server technologies, the company is also announcing a new cloud-based APEX Service designed to carve a new access path for low-code developers who traditionally thought that writing apps for Oracle was complex and expensive. To induce new developers, Oracle is throwing in a free tier to this new cloud service. As Oracle now numbers its releases according to calendar year, 21c is the next release, which was announced as generally available last month.
SK Telecom said on Thursday it has launched its 5G edge cloud service, called SKT 5GX Edge, embedded with Amazon Web Services (AWS) Wavelength in South Korea. The launch of the service will allow customers to build ultra-low latency mobile apps, the telco said, in areas such as machine learning, Internet of Things, gaming, and streaming. Use of the service will allow apps that are accessing the cloud to bypass the internet and regional websites, and quickly reach SK Telecom's data centre. The reduced step will allow customers to enjoy the full benefits offered by 5G network's low latency and bandwidth, the telco said. The first AWS Wavelength Zone has been launched in the city of Daejeon. It will expand to Seoul and other regions next year.
Remember the time when the software development industry realized that a single person can take on multiple technologies glued tightly with each other and came up with the notion of a Full Stack Developer -- someone who does data modelling, writes backend code and also does front end work. Something similar has happened to the data industry with the birth of a Data Engineer almost half a decade ago. For many, the Full Stack Developer remains a mythical creature because of the never-ending list of technologies that cover frontend, backend and data. One of the reasons for that could be the fact that visualisation (business intelligence) has become a massive field in its own right. A Data Engineer is supposed to build systems to make data available, make it useable, move it from one place to another and so on.
The graph represents a network of 1,522 Twitter users whose tweets in the requested range contained "#cloudcomputing", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 14 December 2020 at 13:04 UTC. The requested start date was Monday, 14 December 2020 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 2-day, 2-hour, 17-minute period from Friday, 11 December 2020 at 22:43 UTC to Monday, 14 December 2020 at 01:00 UTC.
When people dream about becoming a baker or a pastry chef, they often think about the delicious pastries they’ll create, delighting their patrons with towering cakes wrapped in impossibly smooth fondant. But very rarely does anyone start off by thinking about the preparation involved in baking… Without being able to use freshly milled flour for baking, for example, you would actually never be able to eat a good piece of cake or a crusty loaf of bread. To produce those delicious pastries, a lot of preparation must happen before the actual baking process begins. The same parallel can be made between AI and Data Integration. Let me explain: The business challenge: As an example, let’s examine a regional U.S. retailer who recently decided to modernize its supply chain management, including supply chain availability, fulfillment, and online cart. To accomplish this objective, the retailer decided to implement the Onera Decision Engine in Google Cloud Platform (GCP). The Onera Decision Engine…
New Relic has acquired Pixie Labs, a provider of machine learning (ML)-based observability solutions for Kubernetes. The financial terms of the deal, announced on Thursday, were not disclosed. It was only a few months ago that the startup announced $9.15 million in Series A funding, and now, Pixie Labs has been snapped up by a company that sees value in the firm's offerings. New Relic is the developer of a cloud-based observability platform, New Relic One, which operates across the full software stack. Telemetry data is backed with artificial intelligence (AI) and ML-based algorithms in the platform to improve visibility and troubleshoot any problems.
Inc. company, and ViacomCBS announced an agreement that makes AWS the preferred cloud provider for ViacomCBS's global broadcast media operations. As part of the strategic agreement, ViacomCBS will migrate operations for its entire broadcast footprint, which spans 425 linear television channels and 40 global data and media centers, to the world's leading cloud – one of the first such large-scale transformations in the media and entertainment industry. The migration will enable ViacomCBS to drive greater efficiencies and cost savings, simplify access to content for its licensing partners, and reliably deliver new viewing experiences to consumers by broadcasting and streaming content on any device. ViacomCBS will leverage AWS's industry-leading infrastructure and comprehensive cloud capabilities, including serverless, containers, databases, media services, analytics, and machine learning, to build a cloud-based broadcast and media supply chain operating model. This new cloud-based hub will help the broadcaster spin up new channels faster, dynamically assemble live content to optimize delivery over any distribution channel, add image and video analysis to applications, and automate workflows.