Goto

Collaborating Authors

Cloud Computing


AI, cyber terrain analytics improve hybrid multicloud security

#artificialintelligence

Typical hybrid cloud IT integration strategies have fundamental design flaws that CIOs and CISOs need to address if they're going to avert another attack on the scale of SolarWinds. The design flaws are evident in existing approaches to integrating public and private clouds with legacy systems. Inconsistent endpoint security and privileged access management has turned out to be highly penetrable and painfully lacking. The first two articles in this series explain how getting hybrid cloud security right is hard and how the SolarWinds hack exposed hybrid clouds' greatest weaknesses. This post lays out an approach to solve hybrid cloud security challenges today.


Edge computing is coming, and businesses aren't ready

#artificialintelligence

Almost three-quarters (72%) of IT leaders are already using edge computing to provide innovative services, according to Intel. From ultra-connected autonomous cars to low-latency AR, VR and gaming: to remain competitive in the digital age, businesses will have little choice but to fully embrace the new opportunities that come with the deployment of edge computing, according to a new report published by Intel. Almost three-quarters (72%) of IT leaders are already using edge computing to provide innovative services, according to the chip giant, whether that is to create new products, open new revenue streams or boost efficiencies. "Businesses can no longer afford to ignore the edge," says the report, stressing the technology's potential to better access and understand the unprecedented amounts of data that are generated over networks every second. As the name suggests, edge technologies consist of moving the hosting of computer services to the edge of the network, so that the process happens as close as possible to the people that use the service, which significantly reduces latency.


Amazon offers developers AWS credits, reduces its cut of their apps revenue

ZDNet

Amazon has joined the app-platform pack in reducing the cut it takes from smaller developers who use the Amazon Appstore to distribute apps. But it's taking a slightly different approach, one that entices developers to use Amazon Web Services (AWS) for IT infrastructure and AI services. From October, developers who earned less than $1 million in revenue in the previous calendar year from the Amazon Appstore will only need to pay Amazon 20% of the revenues they earn through its store. Free and cheap personal and small business cloud storage services are everywhere. But, which one is best for you?


Future artificial intelligence will happen at the edge

#artificialintelligence

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

#artificialintelligence

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

#artificialintelligence

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

#artificialintelligence

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

#artificialintelligence

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.

#artificialintelligence

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.