A holistic approach to enterprise IT agility

'Agility' – that's the new watchword in most senior management circles. However, any 'agile' initiative must go beyond its mere adoption in a few projects. However, such an initiative needs to go beyond mere adoption of agile in a few projects. To successfully implement enterprise IT agility, organizations need to understand the impact of agile across functions and groups, develop frameworks to sustain agile, empower teams across the board to work in an agile fashion, and invest in the right infrastructure.

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Keyrus

Keyrus helps enterprises take advantage of the Data and Digital paradigm to enhance their performance, assist them with their transformation and generate new levers for growth and competitiveness.

OTHER WHITEPAPERS
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WHY MACHINE LEARNING IS THE FUTURE OFPREDICTIVE AND INDUSTRIAL MAINTENANCE

whitePaper | July 10, 2020

There’s no arguing that preventing failures and accidents is critical for industry. Unexpected incidents can grind operations to a halt for extended periods of time and necessitate expensive repairs. Just 12 hours of downtime for an oil production platform could cost six to eight million dollars in lost production opportunity alone. A single day of grounding for a plane costs roughly four to five million dollars. Because of these disruptions, industrial sectors are always on the lookout for newer, better maintenance methods, and the approach on everyone’s lips right now is predictive maintenance. While everyone agrees on the name, there is less consensus on what it means or how to implement it. But to truly unlock the potential of predictive maintenance, it needs to be paired with artificial intelligence (AI) and machine learning (ML).

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Nutanix Helps Fullgoal Fund Deliver Data Center Innovation

whitePaper | August 1, 2020

One of the first management funds in China, Fullgoal Fund overcame the need for massive data storage and support for large numbers of virtualized servers with a Nutanix hyperconverged infrastructure and enterprise cloud solution.

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The 2023 AI and Machine Learning Research Report

whitePaper | February 23, 2023

In December 2022, Rackspace Technology® polled 1,420 IT professionals throughout the world and across multiple industry verticals. Survey respondents worked in financial services, manufacturing, retail, hospitality, government and healthcare in the Americas, Europe, Asia and the Middle East.

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Artificial Intelligence in the corporate world

whitePaper | November 25, 2019

In 2020, artificial intelligence will no longer be a vision of the future, but a tangible reality: language agents such as Siri, Cortana or Alexa are already pervading our everyday lives. The smart assistants play our favorite music, make restaurant suggestions, recommend films, identify the fastest route to our destination and steer our car better into the parking lot than we could. We use artificially intelligent systems that are becoming more and more a matter of course both at home and at work. AI systems have slipped into our everyday lives and they are here to stay.

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Leading Through Digital AI Powered Transformation

whitePaper | December 23, 2019

We are witnessing a new genre of companies shaping the business landscape by leveraging emerging technologies and applying them with such potency to create competitive advantage. These organisations have a quest to scale; they are big on customer experience; they are open to partnerships and are able to deploy their products and services at scale through APIs; they are big adopters of the cloud and quite often are born in the cloud; they embrace design thinking and are happy to return to first principles to find innovative solutions to business problems; and they are relentless at leveraging the power of artificial intelligence (AI) for insights and decision making.

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Modern Risk Management for AI Models

whitePaper | September 15, 2022

The concept of Artificial Intelligence (AI) and Machine Learning (ML) dates back to the 1950s with researchers trying to use machines to simulate human intelligence in machines. However, their use in the financial sector has been limited. With enhanced customer service and mounting cost pressures, financial institutions (FIs) have now started to look at AI as a possible solution for improving cost and operational efficiencies.

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Spotlight

Keyrus

Keyrus helps enterprises take advantage of the Data and Digital paradigm to enhance their performance, assist them with their transformation and generate new levers for growth and competitiveness.

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