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VMware vRealize ROI Report

The ROI Calculator measures the efficiency of an investment in vRealize Suite over a five year period. This report provides three key measurements, using common project evaluation methods. The analysis attributes benefits to: Hardware capital avoidance – being able to avoid unnecessary hardware purchases, due to virtualization and improved consolidation ratios, as well as, by right sizing and reclaiming over-provisioned and idle resources to maximize resource utilization and reducing waste. IT operations productivity gains – increasing the efficiency of IT staff, automating common IT asks and processes, accurately planning and forecasting capacity needs, and rapidly troubleshooting and resolving application and infrastructure issues in the environment. IT deployment productivity gains – increasing the productivity of IT staff, by using policybased automation of delivery of applications and infrastructure services and resource optimization processes, as well as, establishing governance controls over the delivery of services across both on-premises and public cloud environments.

Spotlight

Aerospike, Inc.

Aerospike is the world’s fastest database – the system of engagement – powering a new class of real-time, context-driven applications that personalize the consumer experience across the Internet. Developers use Aerospike, an open-source, flash-optimized, in-memory NoSQL key-value store for caching, as a user profile or context store, and to simplify scaling with smaller clusters and the price/performance of flash.

OTHER WHITEPAPERS

Modern IT Management With AIOps

whitePaper | September 13, 2022

Companies are going digital, whether their IT infrastructure is ready or not. Digital transformation initiatives like migrating to cloud promise speed, adaptability and reduced costs to effectively respond to today’s real-time, customer-focused world.

Beyond the hype: A guide to understanding and successfully implementing artificial intelligence within your business

whitePaper | January 4, 2022

When people hear AI they often think about sentient robots and magic boxes. AI today is much more mundane and simple—but that doesn’t mean it’s not powerful. Another misconception is that high-profile research projects can be applied directly to any business situation. AI done right can create extreme return on investments (ROIs)—for instance through automation or precise prediction. But it does take thought, time and proper implementation. We have seen that success and value generated by AI projects is increased when there is a grounded understanding and expectation of what the technology can deliver from the C-suite down.

What´s New in Denodo Platform 8.0

whitePaper | August 12, 2020

Denodo Platform 8.0 is a significant step forward in realizing the vision of a logical data fabric as a unified data delivery platform that bridges the gap between IT infrastructure and consuming business applications. Denodo Platform 8.0 is based on the same data virtualization technology that Denodo has developed over the years to unify data integration, metadata management, security, and data governance. Denodo Platform 8.0 greatly accelerates the delivery of governed data to all data consumers, in the most appropriate format for each, across multiple distributed heterogeneous systems

Machine learning and artificial intelligence in a brave new world

whitePaper | December 22, 2022

Machine learning, one of the key building blocks of AI, has been a part of the technological world since the 1950s, when the earliest programmers asked computers to make sense of large sets of data. Programmers have increasingly refined the ability of machines to study data in order to detect patterns that allow computers to then organise information, identify relationships, make predictions and detect anomalies. Today, modern applications of AI have already given us self-driving cars and virtual assistants and have helped us detect fraud and manage resources like electricity more efficiently. Sectors as diverse as retail, sports, banking, manufacturing and healthcare have all found applications for machine learning and AI.

Automate Machine Learning with H2O DriverlessAI on Dell Infrastructure

whitePaper | June 22, 2022

Artificial intelligence (AI) and machine learning have revolutionized how organizations are using their data. Automated machine learning (AutoML) facilitates and improves the endto-end data science process. This process includes everything from preprocessing and cleaning the data, selecting and engineering appropriate features, tuning and optimizing the model, analyzing results, explaining and documenting the model, and of course, deploying it into production.

A Blueprint for Equity and Inclusion in Artificial Intelligence

whitePaper | June 28, 2022

Artificial intelligence (AI) has been accelerating across sectors. It has great potential to benefit society but the technology’s full potential can only be realized if it includes the diversity of the populations it represents throughout every step of its development. With growing concerns about bias, data privacy and lack of representation, it is critical to re-evaluate the way in which AI is both designed and deployed to ensure that all affected stakeholders and communities reap the benefits of the technology, rather than any harm.

VMware vRealize ROI Report