The AI productivity challenge

May 4, 2019

Artificial intelligence (AI), in particular the subfields of machine learning (ML) and deep learning (DL), have shown remarkable progress in recent times. There is a general consensus that over time every business will need to start using AI if they are to be competitive and successful. AI is not something for the future nor something only for the large technology titans but rather a technology that is increasingly entering the mainstream.

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OTHER WHITEPAPERS
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Accenture Enterprise AI – Scaling Machine Learning and Deep Learning Models AWS Whitepaper

whitePaper | August 23, 2022

Today, there is a real-time, global, tectonic shift in the workplace caused by digital transformation. Accelerated by the Covid pandemic, this digital transformation has created never-seen-before opportunities and significant workplace disruption. Fully realizing the new market opportunities demands a modernized workforce.

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Certifying Fairness of AI-Applications An Impossible Task?

whitePaper | January 28, 2022

Since more and more decisions that used to be made by humans are nowadays made either with the help of Artificial Intelligence (AI) or by AI alone, it is essential that the AI algorithms are “fair.” In this whitepaper, we discuss issues surrounding the fairness of AI applications, with a special focus on how it can be assessed independently and subsequently certified. We explain why an AI application cannot be classified – and subsequently certified – as “fair” or “unfair” in a general sense and propose an approach that makes it possible to classify it as “fair” or “unfair” under the (application)-specific definition of fairness.

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How APAC enterprises can scale up their AI initiatives

whitePaper | May 25, 2022

In the past few years, artificial intelligence (AI) has proved to be much more than just a buzzword, successfully redefining the way that businesses work. From finance to healthcare, various industries have shown tangible outcomes from using AI as a part of their solutions, reiterating the immense possibilities this technology can provide for the world.

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Why Automation and AI Will Define the Future World of Work

whitePaper | June 16, 2022

As companies continue their digital transformation journey, it’s clear that automation and artificial intelligence (AI) are now a competitive imperative. Companies can no longer ignore the gains intelligent automation solutions deliver. Such solutions free up employees from repetitive tasks, making them available for more valuable work. Automation and AI tools also enable companies to harness the value of their own data for competitive advantage while automating its processing.

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The Generative AI Revolution

whitePaper | May 12, 2023

Onward’s mission is to develop bold and practical ideas to boost economic opportunity, build national resilience, and strengthen communities across all parts of the United Kingdom. Our vision is to address the needs of the whole country: young and old, urban and rural, for all communities across the UK – particularly places that have too often felt neglected or ignored by Westminster. We believe in an optimistic conservatism that is truly national – one that recognises the value of markets, supported by a streamlined state that is active not absent. We are unapologetic about standing up to vested interests, putting power closer to people, and supporting the hardworking and aspirational.

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How Financial Institutions Can Overcome 3 Obstacles to Innovation

whitePaper | August 10, 2020

Digital innovation is happening fast — and there’s no slowing it down. Financial institutions are shifting priorities as third-party apps and services become more prevalent among consumers. Now, staying connected is no longer just an option, it’s critical to achieving success and staying relevant. mx.com | 1 But moving fast isn’t as easy as it sounds. There’s a fine line that financial institutions have to balance when it comes to innovating quickly to give their customers the experiences they’ve come to expect and ensuring their data remains safe and secure. As data sharing and connected integration ecosystems become the new norm, here are three challenges many financial institutions are facing.

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A workspace for the whole data science team, supporting Python & R. Collaborate with powerful resources, jobs, deployments.

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