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Cloud Computing


Future artificial intelligence will happen at the edge

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In the computing world we have gone through several phases. In the beginning organisations usually had one large mainframe computer. This was followed by the era of dumb terminals and eventually by the era of personal computers – the first-time end-users owned the hardware that did the processing. Several years later cloud computing was introduced. People still owned personal computers, but now accessed centralised services in the cloud such as Gmail, Google Drive, Dropbox, Trello, and Microsoft Office 365.


How Machine Learning Is Reshaping Retail Pricing and Promotions

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Salih Sarikaya is a Lead Product Manager, advising Fortune 500 clients at Nisum. He has previously worked with Google Cloud, eBay, and growth startups. He is a technology advocate recognized as one of the key thought leaders in tech, blockchain, and data (CES 2017, Onalytica, MOZ, KLOUT, and Business Insider). He has been published in the following publications: IBM Pulse, Towards Data Science, HackerNoon, The Capital, and has spoken at several international conferences such as CryptoBlockCon, Elev8, and Blockchain Connect.


Sr. Data Engineer

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Role Description: The Rackspace FinOps group enables cloud users to align their cloud technology adoption with their business strategies. We advise many of the world's largest AWS, GCP, Azure, and other Cloud consumers on topics ranging from cloud architecture to organizational governance to cloud economics, driving efficient cloud adoption and usage for our clients. The FinOps Data Engineer role is an exciting opportunity to build solutions that will help us and our clients turn complex multi-cloud cost and performance datasets into actionable insights. This is an opportunity to make an impact on a fast-growing team. You'll be instrumental in creating new and better analytics and ML solutions, and generally innovate to drive new value for our clients.


Sap Cloud Platform

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Services:- The service management capabilities help service departments provide support for service operations, contract management, service planning, tracking of customer interaction, activities, and customer support. Sales:- Provides all the tools to help efficiently manage your complete sales processing and customer lifecycle. From quotes to orders to deliveries to invoices, SAP Business One offers all the specified functions to simply manage the entire order-to-payment process. Manufacturing:- Offers an easy yet powerful planning system that helps production planners or buyers schedule and manage items for production or purchasing supported a spread of criteria. Purchasing:- The ERP software provides your small business with the tools that it must handle its entire procurement process, including orders, receipts, invoices, and payments.


Time to plan IT that's fit for the future

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The last 12 months have seen many carefully laid technology plans blown off course, driving IT investments in unforeseen directions. COVID-19 has had a major impact on IT investment decisions. Its distorting effect has seen investment in some areas accelerate massively, while other plans have by necessity fallen by the wayside. So with recovery in sight, where do we go from here? What should enterprise IT plans look like, and how confident should CIOs feel about implementing them?


The Data Science and AI trends that will characterize the future.

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Have you ever hopped upon a roller coaster and regretted it instantly? It opened with the Australian wildfire and the headlining act – the Covid-pandemic has claimed 1.84 million human lives and counting. But 2020 has given technological evolution a strong push and moved it ahead with speed. The year has also reminded us how easy it is to lose track of the critical changes in the world of technology in the midst of a great humanitarian crisis. We have seen every business move online, and every person has had to work from home at some point this year.


Western Digital launches edge compute servers for remote, rugged environments

ZDNet

Western Digital launched Ultrastar Edge servers, including one that is rugged for military and field team use, for edge computing deployments. The company said its Ultrastar Edge servers are designed for 5G, Internet of things and cloud deployments. The servers are built to enable data processing in remote locations including deserts, seas and other areas with intermittent or no network connectivity. Edge computing is increasingly decentralizing compute as real-time analytics, AI, deep learning and machine learning training has to happen on site before connecting to the cloud or data center. In addition, Western Digital has stepped up its data center cadence and has launched an effort to court creative pros with its SanDisk gear and SanDisk Professional.


Accenture acquires German engineering consulting firm umlaut

ZDNet

Accenture on Monday announced that it's acquiring German engineering consulting firm umlaut. The services and consultancy company said the purchase will expand its engineering capabilities in the areas of cloud, AI and 5G. Financial terms of the deal were not disclosed. Umlaut's technology expertise span traditional and digital engineering services, including testing and validation of smart connected products, strategy and organizational consulting, hardware product development and software development. More than 4,200 engineers and consultants from umlaut will join Accenture's Industry X services group, which aims to combine Accenture's data and digital knowhow with engineering digitization services.


Google Cloud: COVID-19 accelerates AI use by manufacturers

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According to new research from Google Cloud, manufacturers around the globe have accelerated their use of digital technologies due to the COVID-19 pandemic. Of the 1,154 senior manufacturing executives polled for the report, "Google Cloud Industries: Artificial Intelligence acceleration among Manufacturers," 76% said they have embraced "digital enablers" such as artificial intelligence, data analytics and cloud. "We used to count the number of AI and machine learning projects at Ford. Now it's so commonplace that it's like asking how many people are using math. This includes an AI ecosystem that is fueled by data, and that powers a'digital network flywheel,'" said Bryan Goodman, director of artificial intelligence and cloud, Ford Global Data & Insight and Analytics, in the report.


How Cloud Technology & Predictive Analysis has Enhanced Artificial Intelligence in App Development

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Digital transformation is bringing the world closer and is immensely responsible for driving all activities not only in enterprises but also in the healthcare industry, government sectors and much more. With the rise in competitive pressure, companies are being forced to reduce their overall costs while implementing diverse innovative technologies to be more responsive to customers and competitors. Hence, companies are increasingly taking advantage of technologies like cloud technology, artificial intelligence and predictive analytics to generate better customer value through connected applications, data, and services that optimize for agility and economics. With the cloud as a platform and APIs as building blocks for intelligent enterprise applications, AI is available for more people and organizations than ever before. This opens up more possibilities for AI technologies that can give companies a contentious advantage.