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Vertiv Data Center Cooling Innovation Forum

The event is part of DCD’s Tech Innovation Days and includes a market trend presentation from industry analyst Omdia

What: Vertiv Data Center Cooling Innovation Forum

When: Thursday, December 10th, 2020

Time: 13:00 to 16:00 GMT

Details: You are invited to virtually join Vertiv’s next live event streaming from the Vertiv Customer Experience Center near Padua, Italy, to learn more about the latest innovations in data center cooling and thermal management. The event is part of DCD’s Tech Innovation Days and includes a market trend presentation from industry analyst Omdia, as well as a deep-dive panel discussion looking at the development of new technologies to meet growing scale and demand.

Speakers include:

  • Giordano Albertazzi, EMEA president, Vertiv
  • Peter Lambrecht, VP sales key accounts EMEA, Vertiv
  • Lucas Beran, principal analyst, Omdia

How to Join: Register for free at this link

Agenda: 13:00 – 14:00 – Keynote panel: The evolution of data center cooling: Meeting future demand reliably

This panel explores evolving customer requirements and how Vertiv effectively deals with complex thermal management challenges. The session also includes a market trend presentation from an industry analyst at Omdia, Lucas Beran, who will share the latest insights on market trends, and the main challenges in facing ever-increasing scale and higher-density workloads.

Learn more

14:00 – 15:00 – Product Innovation Showcase from the Vertiv Customer Experience Center

Experience a new range of product innovations with unique augmented reality demonstrations and deep-dive explanations with Vertiv’s product managers.

Learn more

15:00 – 16:00 – Interactive Roundtable

Join the debate with Vertiv experts from across the data center ecosystem to discuss some of the challenges as you see them and ensure you get any key questions answered from the experts themselves.

Learn more

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Cloud Cloud News Uncategorized

Microsoft rolls out new AI capabilities in Azure for developers and enterprises

Ahead of the Microsoft Build 2019 Developer Conference, the tech giant is rolling out a number of new tools and services to help developers and enterprises to harness the potential of artificial intelligence (AI).

“AI is fueling the next wave of transformative innovations that will change the world. With Azure AI, our goal is to empower organizations to apply AI across the spectrum of their business to engage customers, empower employees, optimize operations and transform products,” wrote Eric Boyd, Corporate Vice President, Azure AI, in a blog post.

Project Brainwave’s Azure Machine Learning Hardware Accelerated Models are now generally available. Announced for a preview last year, it helps in speeding up the training of AI models. Further, Microsoft has pushed the preview of these models for edge computing, in collaboration with Dell Technologies and HPE.

The company is adding support for ONNX Runtime for NVIDIA TensorRT and Intel nGraph to provide high-speed inferencing on NVIDIA and Intel chipsets.

Azure Machine Learning service is getting new capabilities to allow developers, data scientists, and DevOps professionals to increase productivity, operationalize models at scale, and innovate faster. For instance, there is an automated machine learning UI that will allow customers to train ML models just with a few clicks.

Azure Machine Learning will also have a zero-code visual interface, and notebooks to provide developers and data scientists a code-first ML experience.

The hardware accelerated models are also becoming generally available in Azure Machine Learning. These models run on FPGAs in Azure for low-latency and low-cost inferencing. For Databox Edge, it is currently available in preview.

The Machine Learning service is also getting MLOps or DevOps for ML capabilities. These capabilities include Azure DevOps integration to enable Azure DevOps to be used to manage the entire ML lifecycle.

Also read: Microsoft Teams PowerShell module now up for grabs

Furthermore, Microsoft is also previewing a new service called Azure Open Datasets to help customers improve the accuracy of ML models using rich, curated open data and reduce the time spent on data discovery and preparation.

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IAMCP Delhi conducts session on leveraging P2P opportunities in Microsoft ecosystem

IAMCP (International Association of Microsoft Channel Partners), recognized as the world’s largest association of Microsoft partners, conducted a P2P (partner to partner) session yesterday at Microsoft office in Gurugram.

IAMCP India’s North and East chapter was launched last year in April and has been actively working since then, for establishing the IAMCP community in North India.

Related read:  IAMCP India North and East chapter conducts session on Microsoft GTM program in Delhi

Munesh Jadoun, President, IAMCP Delhi chapter announced in this session that IAMCP is now shifting from region-based chapters to city-based chapters. So, the North and East chapter will now be IAMCP Delhi chapter.

Talking about the P2P opportunities, he shared how partners can explore different P2P opportunities in the Microsoft ecosystem using the IAMCP platform. He further added that at present, 90% of IAMCP partners are involved in P2P collaboration.

Speaking to over 25 partners in the session, he informed that in the Microsoft partner ecosystem, a partner can also leverage the 17 million partner sellers and thousands of Microsoft sellers to sell its solution in collaboration with other partners.

Suvrata Gayan and Anurup Singhal from Microsoft India team also interacted with the partners and discussed MPN (Microsoft Partner Network) benefits and different partner focused initiatives.

Anurup Singhal, Sales Excellence Lead, OCP, told about the friendly Microsoft partner ecosystem and how the partners can achieve business growth by making use of different marketing resources made available to them via Microsoft Partner Center.

Suvrata Gayan, Director – Small & Medium Business, Customer Marketing at Microsoft India, in her session on MPN Partner benefits and Microsoft Inspire, focused on benefits that a partner gets by joining Microsoft Partner Network and enlightened attendees about different partner competencies. She told about how the partners can graduate from one competency to the higher one and get maximum benefits from the Microsoft Action pack.

Also, Suvrata announced the heavy discount for Microsoft Inspire if one registers by 7th March 2019.

Ashish Kamotra, CEO and founder of Adapt-India shared his experiences after joining IAMCP India and how his business benefitted by using IAMCP, a platform that helped him discover new P2P opportunities.

About IAMCP

The worldwide association of Microsoft partners, IAMCP, focuses on enabling partners with Microsoft technologies and facilitates collaboration between them. IAMCP membership enables partners to receive peer-to-peer mentorship; support and guidance; networking opportunities with other partners and Microsoft personnel to build mutually beneficial partnerships ; guidance to better understand and navigate the Microsoft-eco system ; access to helpful resources, information and training ; and information regarding important changes in the Microsoft eco-system, legal obligations, opportunities and threats .

In India, it is active in Mumbai, Pune, Delhi, and Ahmedabad.

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Azure DevOps Projects allows deployment of multiple apps to a single AKS cluster

To further make the adoption and use of Kubernetes easier, Microsoft will now allow developers to reuse their existing Azure Kubernetes Service (AKS) cluster in Azure DevOps Projects.

The adoption of Kubernetes is rapidly growing among large enterprises. According to a survey by The New Stack, Kubernetes is the most widely used orchestration platform, having adopted by 69% of enterprises.

Microsoft provides AKS and Azure DevOps Projects solutions to help customers adopt Kubernetes. The Azure Kubernetes Service is a full managed Kubernetes container orchestration service that simplifies the deployment and operations of Kubernetes and allows customers to scale their application infrastructure.

Whereas, the Azure DevOps Projects helps customers to easily launch container apps on any Azure Service. It comes with a git code repository, Application Insights Integration, and a continuous delivery (CD) pipeline setup to deploy apps to Azure.

For instance, it can be used for provisioning AKS and Azure Container Registry, and build and deploy container apps to AKS using Azure Pipelines. Further, the customers can monitor their code commits, builds, and deployments from DevOps Projects dashboard in Azure portal.

However, the customers who use Azure DevOps Projects to deploy their apps to AKS, needed to create a new AKS cluster every time they deploy an app.

Microsoft has taken that into consideration and announced that customers will now be able use Azure DevOps Projects for deploying multiple apps to a single AKS cluster. The new feature is now generally available in the Azure Portal.

Also read: Azure IoT Edge now supports virtual machines

“Kubernetes is going from strength to strength as adoption across the industry continues to grow. But there are still plenty of customers coming to container orchestration for the first time while also building up their familiarity with Docker and containers in general,” wrote, Atul Malaviya, Principal Program Manager, Azure DevOps, in a blog post.

“We see the need to help teams go from a container image, or just a git repo, and help get them to an app running in Kubernetes in as few steps as possible. It’s also important that we do this in a way that will allow them to customize afterward and build on their knowledge as they go.”

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Microsoft open sources Infer.NET machine learning framework on GitHub

Microsoft has open sourced the Infer.NET, a machine learning engine that the company uses to power its own platforms including Office, Azure, and Xbox.

Infer.NET is now available on GitHub under the permissive MIT license. Enterprises can use it for free for their commercial applications.

Launched in 2004 as a research tool, the Infer.NET has evolved over the years to become a successful machine learning framework.

Microsoft has built the tool to enable a model-based approach, allowing users to integrate domain-based knowledge into the model. The company explained that Infer.NET can then build a bespoke machine learning algorithm directly from the model.

Typically, the conventional machine learning tools provide existing AI algorithms, so that users can push them into the project according to the needs. But, Infer.NET is different. It constructs the machine learning algorithm on the basis of model provided by the users.

“An added advantage of model-based machine learning is interpretability. If you have designed the model yourself and the learning algorithm follows that model, then you can understand why the system behaves in a particular way or makes certain predictions,” wrote Yordan Zaykov, Principal Research Software Engineering Lead, in a blog post.

“As machine learning applications gradually enter our lives, understanding and explaining their behavior becomes increasingly more important.”

The models built using Infer.NET are capable of handling a broad range of data traits, like real-time data, heterogenous data, unlabeled data, insufficient data, etc.

Also read: Orleans 2.1 released with new scheduler, code generator and performance improvements

Microsoft will make Infer.NET a part of ML.NET, the machine learning framework for .NET developers. The tech giant has already taken a number of steps to integrate it with ML.NET, like setting up the repository under .NET Foundation and moving the packages and namespaces to Microsoft.ML.Probabilistic.

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Microsoft snaps up deep learning startup Lobe to make AI development easier

Microsoft is acquiring San Francisco-based startup Lobe to help developers easily build, train and ship deep learning and AI (artificial intelligence) models.

Lobe provides a simple visual interface that allows users to build custom deep learning models, train them, and ship them directly to applications without writing any code.

Dee learning is a subset of machine learning which is used to build artificial neural networks. The technology has numerous applications, such as driverless cars. It teaches the cars to recognize the traffic signals or to differentiate between a lamppost and a pedestrian.

Although the deep learning technology has made a good progress over the last few years, but Microsoft said that the development process of deep leaning systems is still complex and slow.

“In many ways though, we’re only just beginning to tap into the full potential AI can provide. This in large part is because AI development and building deep learning models are slow and complex processes even for experienced data scientists and developers,” wrote Kevin Scott, Executive VP and CTO, Microsoft, in a blog post.

“To date, many people have been at a disadvantage when it comes to accessing AI, and we’re committed to changing that.”

Lobe and Microsoft aim to make the AI development easier. With Lobe AI platform, users will only need to drag in a folder of training examples from their desktop. Lobe will automatically build the custom deep learning model and initiate the training. When the process finishes, users can export the trained models and ship them directly to apps.

Lobe Team at Microsoft

Microsoft has been working on making the AI development easier for everyone over the last few years. The tech giant snapped up conversational AI startup Semantic Machines in May, and then acquired Bonsai in June to bolster its vision of making AI accessible to all.

Also read: Microsoft’s Visual Studio Team Services is now Azure DevOps

“We look forward to continuing the great work by Lobe in putting AI development into the hands of non-engineers and non-experts.  We’re thrilled to have Lobe join Microsoft and are excited about our future together to simplify AI development for everyone,” added Scott.

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Protecting Privacy and Personal Data Key to Digital Economy in Africa, says Internet Society

Internet Society and African Union Commission launch guidelines on Personal Data Protection

Today at the Africa Internet Summit (www.InternetSummit.africa) in Dakar, Senegal, the Internet Society and the African Union Commission unveiled a new set of Guidelines that highlight how privacy protection and the responsible use of personal data are critical factors in building greater trust online and in advancing the digital economy in Africa.

The Personal Data Protection Guidelines for Africa launched today were jointly developed by the Internet Society — a global non-profit organization that promotes the open development, evolution and use of the Internet — and the African Union Commission to facilitate the implementation of the AU’s Convention on Cyber Security and Data Protection (known as the Malabo Convention), adopted in 2014.

The Guidelines recommend a range of actions for governments, policy makers, citizens and other stakeholders to take at the regional, national, organizational and individual level. Among the key recommendations for governments is that they should respect and protect individuals’ rights to privacy online and offline.

Recent global events have showed us that the lack of appropriate protection for personal data can have a profound impact not just on individuals but also on society at large, to the point of endangering democratic systems,” said Dawit Bekele, African Regional Bureau Director for the Internet Society. “These Guidelines explain how people can take a more active role in the protection of their own data as well as the role that other stakeholders, including governments and legislators, have in ensuring the proper use of data.”

Two key principles of the Guidelines urge all AU Member States to: recognize privacy as a foundation for trust in the digital environment and prioritize the sustainable and responsible use of personal data in the digital economy.

Also Read: Microsoft and Red Hat bring OpenShift to Azure as a jointly managed service

In addition, there are recommendations for citizens who are concerned about their data and privacy including:

  • Using the Internet and other sources to inform themselves about the risks and benefits of the digital economy or their online activities. This includes being aware of agreements they make when they sign up for “free” services or use social media platforms that may profit off their data.
  • Understand and exercise their rights, and act, when needed. There is a corresponding role for governments to empower individuals to do so by ensuring citizens know how to exercise their rights under privacy and personal data protection laws.
  • Develop their capabilities to protect their interests online. Supervisory authorities and governments should take steps to ensure that service-providers and product vendors are transparent about their business models and product capabilities, so consumers can make informed choices about the privacy implications of products and services.

The Malabo Convention is the first step towards developing national legislative frameworks for cybersecurity and data protection in Africa. The guidelines launched today provide a path forward for the member states that have signed the convention, and hopefully encourage more countries to join,” says Moctar Yedaly, Head of Information Society Division, African Union Commission.

For more information, visit: www.InternetSociety.org

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Microsoft’s hiked quarterly earnings confirm its booming cloud business

Microsoft disclosed its earnings report for FY17 Q4 for the month ending June 30, 2017.

Surpassing analysts’ expectations, Microsoft recorded a revenue of $23.3 billion GAAP and $24.7 billion non-GAAP. This was higher than the Wall Street’s anticipation of $24.3 billion. It further reported an operating income of $7.0 billion non-GAAP.

Its intelligent cloud revenue grew 11 % year-over-year to $7.4 billion.

Microsoft CEO – Satya Nadella, said that innovation across company’s cloud platforms is a major reason behind the revenue hike.

He said, “Customers are looking to Microsoft and our thriving partner ecosystem to accelerate their own digital transformations and to unlock new opportunity in this era of intelligent cloud and intelligent edge.”

Apart from Azure, Office 365 also recorded a good performance with Office consumer products and commercial products increasing by 13% and 5% respectively.

Other products like Windows OEM recorded a 1% (up 1% in constant currency) increase in revenue, which is a bit ahead of the overall PC market.

Surface revenue decreased by 2% (1% in constant currency), supposedly due to product life-cycle transition.

Company’s gaming console unit also reported good revenue increase due to strong products like Xbox.

The increased revenue is a clear indicator of company’s constant efforts to evolve digitally.

The recently held Microsoft Inspire also focused on the same vision – to invest in areas that drive success for both Microsoft and its customers with products like Microsoft 365.

On top of the Q4 earnings report, Microsoft also revealed the results for the full financial year 2017. The company earned non-GAAP revenue of $96.7 billion for the twelve months ending on June 30, and a net income of $25.9 billion.

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Public Cloud spending to reach $266 billion in 2021 with the US expected to be the largest market – IDC report

Public Cloud spending is forecasted to reach $266 billion in 2021 worldwide, according to a recent update to the IDC Worldwide Semiannual Public Cloud Services Spending Guide. Out of it, $163 billion will be accounted for by the United States alone.

The spending will be slow between 2016-2021, and is expected to achieve a CAGR of 21.0%, per the report.

Amongst the regions, the United States will stand as the largest market for public cloud services, closely followed by Western Europe and APEJ (Asia/Pacific except Japan) regions with $52 billion and $25 billion respective spending levels in 2021.

Angela Vacca, SRM, Customer Insights and Analysis, said, “In Western Europe, the public cloud market is going to more than double in the 2016-2021 timeframe led by strong spending growth in Germany, which is also the largest national market, Italy, and Sweden. The industries that will grow the most in the period under investigation are utilities, discrete manufacturing, insurance, and professional services.

She considers digital transformation as the major driver of cloud market as it will support organizations’ DX goals.

Software-as-a-Service(SaaS) has been identified as the major cloud computing type with maximum spending – two-third of the total public cloud spend in 2017 and expected to reach 60% by 2021. CRM and ERP applications will make up more than 60% of all the cloud applications’ purchases.

With regards to the company size, more than half of the spending will come from large sized organizations, while medium-sized organizations will account for 20%, per the report.

The growing demand for cloud services will result in substantial rise of Datacenters, as Cloud service providers will need infrastructure to expand their services’ reach.

The current cloud spending in 2017 is also expected to see an increase of 25.4% as compared to 2016, reaching $128 billion, per the press release by IDC.

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Infographic – iPhone in Numbers – 10 Year Anniversary

One of the world’s most popular and loved mobile phones – iPhone, is very close to completing a decade. Since its launch on 29th June, 2007 iPhone has attracted huge positive customer response making it one of the most desirable and shipped products worldwide. From its striking physical design to rich software and brand value, there are many reasons why people love iPhone.

But, there are some mysteries and unknown facts behind its successful decade-long existence. Like, iPhone was not the first choice as the name or the standard time in all iPhone ads is 9.41. Know this and more through the following infographic.

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