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Empower your employees to work securely from anywhere with a cloud-based virtual desktop infrastructure (VDI). Cloud desktops provide the cost-savings and scalability that on-premises VDI may not offer. Evaluate cloud desktops that help to improve security, simplify management, and reduce costs. Read this Forrester report to: Find out how cloud virtualization provides employees with more freedom to work securely from anywhere than on-premises VDI. Get details about the top business needs—like improving security and lowering IT costs—that are driving cloud virtualization adoption. Match cloud desktop offerings to address your needs and explore options from different providers including Microsoft Azure.
A Forrester Consulting Thought Leadership Paper Commissioned By Microsoft: In May 2019, Microsoft commissioned Forrester Consulting to understand how business decision makers are thinking about IoT security broadly and to explore the specific business value of investing in IoT security. Forrester conducted an online survey with 262 respondents and five interviews with IoT technology planning and deployment decision makers at manufacturing, retail, and healthcare companies in the US, Germany, Japan, and South Korea to explore this topic. We found that as IoT devices and applications become increasingly prevalent in and important to today’s enterprises, firms must reckon with the fact that their IoT security isn’t sufficient and has the potential to cause real harm.
Deliver new business value by evolving your IT team to support your company’s cloud strategy. This Gartner report details opportunities for IT infrastructure and operations (I&O) roles to adapt as companies plan their cloud migrations. Download this report to learn about solutions to these challenges: Cloud adoption will succeed in the long term, but only if IT organisations make fundamental changes in their organisational mission and team member roles. Cloud initiatives falter without clearly defined leadership or identified expertise to guide the organisation’s efforts. Although existing I&O activities must continue for some time, most enterprises will adopt an internal cloud service brokerage model. I&O teams could eventually be displaced if they do not focus on maintaining their relevance. I&O leaders may find their teams’ relevance diminished, if not replaced, by cloud-friendly IT organisational patterns, such as distributed DevOps. Evolve your infrastructure and operations organization to remain relevant in the cloud era, Craig Lowery, 6 February 2020
Artificial Intelligence (AI) offers transformational possibilities for customers, businesses and society. Building trustworthy, responsible AI systems is fast becoming a business imperative. This report from IDC is targeted at the practitioners involved in the machine learning lifecycle, as they look to understand how organizations should approach Responsible AI from an end-to-end process from design to development to production deployments.
The businesses that are achieving the greatest returns from their software investments are those willing to tackle entrenched cultural and structural barriers.
Explore the benefits, costs, and considerations associated with deploying Azure SQL managed databases in this Forrester Consulting study commissioned by Microsoft. Four customers were interviewed about their experience migrating their on-premises SQL Server workloads to the cloud using Azure SQL managed databases, which include Azure SQL Managed Instance and Azure SQL Database. In addition to a projected return on investment of 238 percent over three years, the analysis showed that a representative organization based on the interviewed customers also experienced: A 25 percent increase in IT productivity. A 40 percent improvement in productivity for database administrators. Cost benefits, including avoiding on-premises infrastructure costs of $5.4 million related to computing power, storage, networks, and datacenter space and energy. Download the study now to learn about the potential financial impact of Azure SQL managed databases on your organization.
Learn how organizations can approach responsible AI from an end-to-end development lifecycle perspective.
Explore the benefits, costs and considerations associated with deploying Azure SQL managed databases in this Forrester Consulting study commissioned by Microsoft. Four customers were interviewed about their experience migrating their on-premises SQL Server workloads to the cloud using Azure SQL managed databases, which include Azure SQL Managed Instance and Azure SQL Database. In addition to a projected return on investment of 238 per cent over three years, the analysis showed that a representative organisation based on the interviewed customers also experienced: A 25 per cent increase in IT productivity. A 40 per cent improvement in productivity for database administrators. Cost benefits, including avoiding on-premises infrastructure costs of USD 5.4 million related to computing power, storage, networks, and data centre space and energy. Download the study now to learn about the potential financial impact of Azure SQL managed databases on your organisation.
Many security professionals are realising that their on-premises or private cloud-based security information and event management (SIEM) system can’t keep up – so they’re migrating this key security operations tool to the public cloud. The IDG report, SIEM Shift: How the cloud is transforming security operations delves into the results of a survey of 300 security and IT decision-makers to discover why more security professionals are moving to cloud-based SIEM. The report reveals that cloud-based SIEM: Reduces SIEM costs by lowering or eliminating infrastructure, maintenance, licensing and staffing costs. Helps improve protection with AI and faster threat response. Boosts SIEM performance, scalability and stability. Augments security teams with AI, reducing alert fatigue and automating common tasks. Learn how your peers are strengthening their defence against threats.
The digital transformation sweeping through most businesses includes the latest breakthroughs in machine learning (ML), a branch of artificial intelligence (AI). ML and, in particular, its sub-branch of deep learning (DL) have left the research laboratory and are being applied in real-world applications. The high-tech internet giants, as can be expected, have taken the lead in this field and many businesses are now looking to reap the same benefits. ML can bring automation at scale that manual efforts can neither cope effectively nor even manage at all, creating new business opportunities as well as transforming existing business practices. To build this new generation of applications requires ML development tooling. This report focuses on vendors that offer enterprises a platform for ML development, with solutions that typically offer a lot more in terms of managing the whole development-to-deployment lifecycle.