AI TECH, GENERAL AI

AI and Cities: Risks, Applications and Governance

October 20, 2022

AI and Cities: Risks, Applications and Governance
Artificial intelligence has already started to have an impact on urban settings at an unprecedented pace, with sophisticated solutions being deployed in the streets, at airports and in other city installations. In fact, cities are becoming experimental sites for new forms of artificial intelligence and automation technologies that are applied across a wide variety of sectors and places.

Spotlight

Razorblue Group

At razorblue we believe that success is dependent upon putting client needs first. We work closely with our customers, taking the time to find the right technology solution to complicated business problems. Since our launch in 2006 we’ve grown year-on-year and flourished in one of the business world’s most competitive and volatile sectors. Our proactive, technology driven approach assures that we stay ahead of the pace of change in the workplace.

OTHER WHITEPAPERS
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Powering Contact Center Transformation by using Intel AI

whitePaper | September 23, 2022

According to the research published by Microsoft3 on Global Customer Service, 58% of customers feel the importance of Customer Experience (CX), and 61% stopped doing business with a brand due to poor CX and go for different brands.

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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.

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Applying Artificial Intelligence to Built Environments through Machine Learning

whitePaper | January 5, 2020

Machine learning (ML) is an application of artificial intelligence (AI) that allows systems to automatically learn and improve from exposure to more data without being explicitly programmed. ML focuses on the development of computer programs that can access data and use it to learn for themselves.1 While AI represents the broader concept of machines being able to carry out tasks in an intelligent way, machine learning is a current application of AI based on the idea that we can give machines access to data, and they can use that data to learn for themselves.

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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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Policies and Regulations Around Aiusage: Interpretation and Impact

whitePaper | August 26, 2022

Started in 2013, Arya.ai is the first deep learning (DL) startup in India and has been one of the very early adopters to use DL in Financial Institutions. AryaXAI by Arya.ai, a full stack ML Observability platform, offers multiple components - AI explainability, ML monitoring, ML audit and Policy controls, which organisations require beyond simple ML monitoring tools.

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Into the era of secure remote work

whitePaper | April 14, 2021

While the new era of remote work has provided some businesses with surprising productivity boosts as high as 13%, many are still struggling to secure their suddenly expanded network of remote endpoints and IT resources against a growing onslaught of cyberthreats.

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Spotlight

Razorblue Group

At razorblue we believe that success is dependent upon putting client needs first. We work closely with our customers, taking the time to find the right technology solution to complicated business problems. Since our launch in 2006 we’ve grown year-on-year and flourished in one of the business world’s most competitive and volatile sectors. Our proactive, technology driven approach assures that we stay ahead of the pace of change in the workplace.

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