The graph represents a network of 1,360 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 Wednesday, 09 June 2021 at 14:35 UTC. The requested start date was Monday, 07 June 2021 at 00:01 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 4-day, 5-hour, 24-minute period from Wednesday, 02 June 2021 at 18:36 UTC to Monday, 07 June 2021 at 00:00 UTC.
Demand for experienced IT professionals will continue to be strong for the foreseeable future. But if you want an edge in today's competitive job market, sharpen your "CSI" skills: cloud, security, and Artificial Intelligence (AI) technologies. More enterprises are hosting their systems and services on cloud platforms for the greater agility and economic advantages they offer, and this trend is expected to grow. For this reason, the ability to develop software that can be easily deployed to the cloud will become increasingly critical. In 2021 and beyond, systems are increasingly expected to be intelligent: self-learning, self-managing, and requiring little to no human intervention.
Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure are the leading cloud providers by a long shot. Though late to the party, GCP has seen robust growth over the years. Google Cloud's revenue jumped nearly 46 percent year-on-year to $4.04 billion in the first quarter of 2021. "All vendors offer strong ML services and functionalities, but this is where GCP stands out as their years of search engine expertise, and research come into play," said Diwakar Chittora, Founder & CEO, IntelliPaat. Here is how GCP offers more benefits than AWS, Azure. TPUs are Google's custom-developed application-specific integrated circuits (ASICs) to accelerate ML workloads.
NSW Police has "infused" its insights platform with Microsoft Azure-based artificial intelligence and machine learning services to fast-track video and audio evidence analysis. Microsoft recently worked with Australia's largest policing agency to containerise cognitive processing for the core investigation platform in Azure and feed the results back. The work comes ahead of a future migration of insights to Azure, which is expected to take place "shortly". As revealed by iTnews in April, NSW Police is working to stand up a protected-level Azure data centre under what it calls the'Azura Cloud Project' to support its broader transformation program. NSW Police expects to retire, re-architect or replace more than 200 legacy systems with cloud-based systems as part of the program.
From pre-seed to IPO, the world's most innovative startups build on Amazon Web Services (AWS). We're also intentional about cultivating a vigorous AWS Partner community, and since the 2019 launch of the AWS Partner Network's Global Startup Program, we have helped hundreds of startups accelerate their growth through product development support and go-to-market and co-selling programs. This month, we are excited to continue showing our support through the next AWS Startup Showcase, a virtual AWS Loft-style event we're hosting in partnership with theCUBE, a world leader in enterprise tech media that focuses on digital transformation and cultures of innovation. The event is geared towards an audience of business decision makers, developers, and IT professionals. It features some of the most innovative companies from the APN Global Startup Program showcasing their latest offerings and innovations in artificial intelligence (AI), security, and life sciences.
Dataiku announced that it is now available through the Microsoft Azure Marketplace, an online store providing applications and services for use on Azure. This availability opens the door for Azure customers to take advantage of Dataiku's easy-to-use visual interface to build data pipelines, prepare data, and build and deploy machine learning models on their cloud. Azure customers can now purchase Dataiku – a leader in AI and support for elastic cloud computing – using their Azure cloud budget and relationship, removing the barrier of new contracts or legal hassles when starting their journey to enterprise AI at scale. "AI and cloud really go together," said Florian Douetteau, CEO of Dataiku. "With Dataiku in the Azure Marketplace, we think more organizations will be able to leverage the power of AI on the cloud to make smarter, faster decisions, deliver better customer experiences, and automate key business processes."
At Google I/O, the global tech giant announced the launch of Vertex AI, a managed ML platform to develop end-to-end machine learning workflows. This new platform from Google Cloud aims to help MLOPs engineers build, deploy, and scale ML models faster. Later, Google Cloud unveiled three new products--Dataplex, Datastream and Analytics Hub–at its inaugural Cloud Summit. Google said the new products and services are designed to fully unify databases, analytics and AI in an open data cloud so that enterprises can predict outcomes and make informed choices on-the-go, and in real-time. Data silos have become a significant challenge for enterprises of all shapes and sizes.
"We had two guiding lights while building Vertex AI: get data scientists and engineers out of the orchestration weeds, and create a industry-wide shift that would make everyone get serious about moving AI out of pilot purgatory and into full-scale production," Andrew Moore, vice president and general manager of Cloud AI and Industry Solutions at Google Cloud, said in the announcement.
The importance of data in modern tech can hardly be over-emphasized; because there are so many services and products, there have become so many reasons and channels for collecting user or enterprise data. Companies leverage data to improve the user experience of customers, while in-house, there is a need for effective data accumulation for record-keeping and effective operations. As we clamor and advocate for more frictionless operations in our businesses and everyday activities, we simultaneously create a channel for more data to be collected and used in order to automate processes. In fact, the entire reason why we say companies and organizations should'upgrade' is so that our services or operations are faster. However, this increase in speed or quality in service that we call for can only be achievable when operations are automated i.e. there is a digital record of that operation happening before, then when it wants to happen again, it happens with less human efforts because the existing data are enough to implement the operations automatically. At times, there might not be any need for a previous occurrence of the event in order to automate it, we just have to program whatever digital platform or channel we are using to carry out the operation seamlessly without human effort or with the aid of minimum human effort as the case may be.
IBM is in the middle of a company transformation. With CEO Arvind Krishna and President Jim Whitehurst at the helm for a year, the company is going all-in on the cloud with its Red Hat and other investments and getting in a better posture for growth and focus with its recent Kyndryl spin-out. At the same time, the company continues to create leading edge research output in hardware, software and the cloud and creating some very innovative products simultaneously. IBM made many announcements prior to THINK. The company announced the world's first 2nm nanosheet device here, check out an interview I had with IBM Cloud leader Howard Boville here, see Z mainframe as a service here, check out Steve McDowell's analysis of Spectrum Fusion here, and see Paul Smith Goodson's coverage of Qiskit Metal for quantum computing here.