The Case for Converged Application & Infrastructure Performance Monitoring

October 31, 2018

Application performance monitoring (APM) is one of the most popular and in-demand technologies in enterprise IT. APM has evolved from being a standalone technology used just by application teams to being an integral technology for many different stakeholders in organizations. IT Operations, Development, and DevOps teams are finding new uses for APM and how it can benefit them. Ironically, APM is also finding its way into the C-suite, providing business-level reporting and trending metrics.

Spotlight

Glean

Glean searches across all your company’s apps to help you find exactly what you need and discover the things you should know. Powered by next-generation AI, Glean delivers highly personalized results based on who you are, what you’re working on, and who you’re working with. With Glean, new hires onboard faster and employees quickly find the answers they need — or the people who can help. Glean is easy to use and ready to go: setup is quick and doesn’t require professional services or manual fine-tuning. Led by Arvind Jain (Google Distinguished Engineer, Rubrik Co-founder), T.R. Vishwanath (Microsoft, Meta), Piyush Prahladka (Google, Uber), and Tony Gentilcore (Google), Glean has funding from Sequoia Capital, General Catalyst, Kleiner Perkins, Lightspeed Venture Partners, and The Slack Fund.

OTHER WHITEPAPERS
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CIO vision 2025: Bridging the gap between BI and AI

whitePaper | September 23, 2022

It’s been several years since organizations began adopting artificial intelligence (AI) to improve their business; few have come close to mastering its existing capabilities. A small number of organizations in our research aim to become AI-driven—a status we define as AI and machine learning underpinning almost everything the enterprise does—by 2025. However, this elite group—who we term “AI leaders”1—as well as the many others looking simply to embed AI more firmly in the enterprise foundations face formidable challenges to achieving their objectives.

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Embedding AI-powered Analytics Into Your Application

whitePaper | September 28, 2022

Your customers need more than dashboards. They need instant, actionable insights and analytics. And you need to offer more than basic analytics to futureproof your application. Learn how embedding AI-powered analytics gives you a sustainable competitive advantage. Download the complete guide today.

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Deepwave Digital Creates an AI Enabled GPUReceiver for a Critical 5G Sensor

whitePaper | February 11, 2020

Deepwave Digital has leveraged the Artificial Intelligence Radio Transceiver (AIR-T) to create the first deep learning sensor for a 5G network. This network, the Citizens Broadband Radio Service (CBRS), will be the first spectrum sharing service provided by the telecommunications industry that leverages real time RF sensing. Critical to the operation of CBRS is the ability to determine if priority users are active on specific frequency channels. When no priority users are present, the spectrum may be reallocated for commercial networks to provide new enterprise services or additional bandwidth to existing services.

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The UK’s AI Strategy: Where Are We Now?

whitePaper | September 22, 2022

Last year, the UK Department of Digital, Culture, Media and Sport (DCMS) published its 10- year National AI Strategy for the regulation and promotion of artificial intelligence (AI) in the UK (Report). DCMS seeks to build “the most pro-innovation regulatory environment in the world” and vows to make the UK the “best place to live and work with AI” over the next decade. Since then, the UK government and regulators have taken various steps towards this aim, with the Report anticipating a large number of AI-centric publications and consultations. Some key examples (and their latest status) are summarised below, including a policy paper and white paper on a pro-innovation national position on governing and regulating AI, an Information Commissioner’s Office (ICO) consultation on the beta version of its AI and data protection risk toolkit, and a consultation on copyright and patents for AI through the UK Intellectual Property Office (IPO).

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STATE OFENTERPRISE AIIN INDIA2019

whitePaper | November 1, 2019

It's futile to deny it, but Artificial Intelligence (AI) is no longer the buzzword of tomorrow, it's a striking reality of today, and the enterprise landscape of AI has never looked more promising than it does today! Indian Enterprise Market for AI to be estimated to be $100 million, growing at 200-250% CAGR. Futuristic growth of this sort clearly underscores the potential in the big revolution that business leaders should prepare for!

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Tachyum Prodigy on the Leading Edge of AI Industry Trends

whitePaper | October 18, 2022

Tachyum Prodigy is the industry’s first universal processor, unifying the functionality of CPU, GPU, and TPU into a single monolithic package. Prodigy’s revolutionary new architecture provides 6x more raw performance on AI training and inference workloads than the industry’s highest performing GPU, and up to 10x performance at the same power.

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Spotlight

Glean

Glean searches across all your company’s apps to help you find exactly what you need and discover the things you should know. Powered by next-generation AI, Glean delivers highly personalized results based on who you are, what you’re working on, and who you’re working with. With Glean, new hires onboard faster and employees quickly find the answers they need — or the people who can help. Glean is easy to use and ready to go: setup is quick and doesn’t require professional services or manual fine-tuning. Led by Arvind Jain (Google Distinguished Engineer, Rubrik Co-founder), T.R. Vishwanath (Microsoft, Meta), Piyush Prahladka (Google, Uber), and Tony Gentilcore (Google), Glean has funding from Sequoia Capital, General Catalyst, Kleiner Perkins, Lightspeed Venture Partners, and The Slack Fund.

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