Moving from research to reality for deep learning and AI

May 2, 2019

Many of the available tools on the market were born from research environments, and the data science expertise required to use them is scarce and very challenging to recruit. But now, an emerging operational AI model is poised to change all this with a new generation of AI platforms that simplify the application of AI for industries and organizations.

Spotlight

Lola.com

Lola.com makes Agile Travel Management real by providing a super simple way to manage, book and report on business travel, saving employers and travelers time and money. Happy employee travel experiences within a policy can be set up in five minutes. Lola.com uses machine learning and 24/7 support to help travelers easily book trips, while empowering managers to create policies, view budgets and expenditures, and monitor their globetrotting team efficiently. Based in Boston, the company was founded in 2015 by Paul English, co-founder of the travel booking site KAYAK, and is led by CEO Mike Volpe, previously CMO at HubSpot.

OTHER WHITEPAPERS
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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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AI-driven Personalizationin Digital MediaPolitical and Societal Implications

whitePaper | December 6, 2019

Machine learning (ML)-driven personalization is fast expanding from social media to the wider information space, encompassing legacy media, multinational conglomerates and digital-native publishers: however, this is happening within a regulatory and oversight vacuum that needs to be addressed as a matter of urgency. Mass-scale adoption of personalization in communication has serious implications for human rights, societal resilience and political security. Data protection, privacy and wrongful discrimination, as well as freedom of opinion and of expression, are some of the areas impacted by this technological transformation.

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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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Successfully implement and operationalize machine learning models to optimize and accelerate credit decisions

whitePaper | May 4, 2022

The pandemic has brought about significant economic disruption, thereby increasing the need for banks and financial institutions to be more agile. However, Covid-19 is not the only factor that drives automation and digitalization in the credit and lending process in credit institutions. Incumbent banks are increasingly facing pressure from neobanks, these having the strategic advantage of being “born digital”. In addition, customers demand fully digitalized processes with regard to the ease of use and fast turnaround times.

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Best Practices for Secure Access of Third Party APIs from Mobile Apps

whitePaper | September 28, 2022

Mobile apps typically communicate with several backend services over the Internet. In some cases those services may have been developed specifically for that mobile app, but in most cases the app will be dependent on services developed by a 3rd party. This whitepaper discusses how communication with those services can be properly secured, and how Approov’s new runtime secrets protection feature enables significantly enhanced security to be added with a minimum of development effort.

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MySQL HeatWave ML

whitePaper | August 9, 2022

This document in any form, software or printed matter, contains proprietary information that is the exclusive property of Oracle. Your access to and use of this confidential material is subject to the terms and conditions of your Oracle software license and service agreement, which has been executed and with which you agree to comply.

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Spotlight

Lola.com

Lola.com makes Agile Travel Management real by providing a super simple way to manage, book and report on business travel, saving employers and travelers time and money. Happy employee travel experiences within a policy can be set up in five minutes. Lola.com uses machine learning and 24/7 support to help travelers easily book trips, while empowering managers to create policies, view budgets and expenditures, and monitor their globetrotting team efficiently. Based in Boston, the company was founded in 2015 by Paul English, co-founder of the travel booking site KAYAK, and is led by CEO Mike Volpe, previously CMO at HubSpot.

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