The challengesof implementing AI

October 1, 2019

The information age is well and truly upon us. There’s no longer a question of whether your company will be a fected by the rise of AI - but rather it’s a question of when. With global spending on AI and other cognitive technologies tipped to increase to US$52.2 billion per year by 2021, there’s not really any doubt that you’re going to need to understand the what, how and why of AI technology implementation - and sooner rather than later.

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Wizeline

Wizeline is a global product development company that helps its clients solve their biggest challenges with design and technology. Wizeline helps technology leaders build innovative end-to-end products that capture new markets, disrupt business models, and leverage data.

OTHER WHITEPAPERS
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Artificial Intelligence in Talent Assessment and Selection

whitePaper | December 1, 2021

The health and vibrancy of our national economy depends on the health and vibrancy of our organizations. How an organization is staffed is a key driver of its health. Yet only one in three executives rates his or her company as “very effective” at reducing unsuccessful hiring decisions (Bravery et al., 2019). Thus, industrial-organizational (I-O) psychologists help organizations thrive by choosing the right talent for the right job at the right time, using the most accurate, cost effective, and fair tools available (Ployhart, Schmitt, & Tippins, 2017).

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Machine Learning on Arm Cortex-M Microcontrollers

whitePaper | January 20, 2022

Machine learning (ML) algorithms are moving to the IoT edge due to various considerations such as latency, power consumption, cost, network bandwidth, reliability, privacy and security. Hence, there is an increasing interest in developing neural network (NN) solutions to deploy them on low-power edge devices such as the Arm Cortex-M microcontroller systems. To enable that, we present CMSIS-NN, an open-source library of optimized software kernels that maximize the NN performance on Cortex-M cores with minimal memory footprint overhead. We further present methods for NN architecture exploration, using image classification on CIFAR-10 dataset as an example, to develop models that fit on such constrained devices.

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5 Brass tacks to achieve compliance with AI and ML

whitePaper | March 1, 2020

The lucrative business of banks selling their customers “financial advice” coupled with financial products has been in the spotlight recently with the events that have shaken up the banking and financial services world. The most notable ones are the investigations of the Royal Commissions into the misconduct of the banking and superannuation industry1 , the misconduct charges of £264 billion fined by EU on the top 20 banks2 , the Wells Fargo fake accounts scandal3 and the nearly 1000 cases of fraud reported to FINRA resulting in a fine of $61 Million in 20184 .

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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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10 Things You Need to Know About the EU WhitePaper on Artificial Intelligence

whitePaper | March 8, 2020

On February 19, 2020, the European Commission (Commission) published proposals for the regulation of Artificial Intelligence (AI) with potentially far-reaching implications both for users and developers worldwide. The proposals are contained in a densely written 26-page “White Paper” which in this alert we distill down to 10 take-away points. The White Paper, together with the other strategy documents published at the same time1, is vital reading for any business which participates in the data economy, and in particular companies that operate across borders.

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Leveraging a comprehensive reference architecturefor AI that significantly reduces time-to-insight

whitePaper | September 29, 2021

Penguin Computing’s Analytics Practice acts as a single point of reference for hardware, software, architectural design, and much more, enabling organizations to focus their energy on their AI projects. Access this white paper to learn more about this secure, end-to-end solution designed to alleviate AI infrastructure woes.

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Spotlight

Wizeline

Wizeline is a global product development company that helps its clients solve their biggest challenges with design and technology. Wizeline helps technology leaders build innovative end-to-end products that capture new markets, disrupt business models, and leverage data.

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