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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Grammarly

Grammarly is on a mission to improve lives by improving communication. Grammarly’s communication assistance technology is used by more than 50,000 teams and 30 million people every day. Founded in 2009, Grammarly uses a combination of technological approaches and human expertise to offer unmatched, market-leading communication support to individuals and enterprises. Our AI-powered suggestions help people communicate with confidence and help businesses achieve better results. Grammarly team members use advanced machine learning to break new ground in natural language processing that analyzes written sentences to understand context and tone. Our newest product, GrammarlyGO, responsibly applies generative AI to help people quickly compose writing, rewrite paragraphs, draft replies to emails, and more with a prompt. It’s contextually aware and accounts for personal voice, offering relevant and personalized suggestions that respect user agency and authenticity. All Grammarly services ar

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Understanding the Oracle APEX Application Development Lifecycle

whitePaper | October 21, 2022

Oracle APEX is the world’s most popular low-code application platform for enterprise apps. It’s free to use with any Oracle database or database cloud service. Using a browser-based builder, you and your team create modern data-centric web apps that are reliable, scalable, and secure. End users access them with desktop or mobile browsers or install them like native apps in one click. Every day APEX developers the world over help each other succeed. They produce everything from small departmental apps done by one or two people, to complex, business critical systems engineered by a team of IT professionals.

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Trusted Artificial Intelligence Towards Certification of Machine Learning Applications

whitePaper | March 30, 2022

Artificial Intelligence is one of the fastest growing technologies of the 21st century and accompanies us in our daily lives when interacting with technical applications. However, reliance on such technical systems is crucial for their widespread applicability and acceptance. The societal tools to express reliance are usually formalized by lawful regulations, i.e., standards, norms, accreditations, and certificates. Therefore, the TÜV AUSTRIA Group in cooperation with the Institute for Machine Learning at the Johannes Kepler University Linz, proposes a certification process and an audit catalog for Machine Learning applications.

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Everyday Ethics for Artificial Intelligence

whitePaper | December 26, 2022

IBM embraces five foundational pillars of trustworthy AI: Explainability, Fairness, Robustness, Transparency, and Privacy. These pillars underpin the development, deployment and use of AI systems. This document and IBM’s trustworthy AI pillars are meant to help you align on both process and outcomes.

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Using Cloud-Driven Technology to Help Establish a New Normal

whitePaper | July 31, 2020

The current COVID pandemic has paralyzed large parts of our industry with significant movement limitations, occupancy restrictions, and in some cases complete shutdowns. Now, as the initial threat seems to be subsiding, governments and businesses must determine what is required to get back to some sense of normalcy. The biggest hurdles will be regulatory and/or safety-driven. Although the timelines and requirements for the easing of restrictions vary greatly, there are two common threads: limiting occupancy levels and contact tracing individuals who have tested positive for the virus.

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Getting Started with Data Acquisition Systems

whitePaper | August 6, 2020

The purpose of any data acquisition system is to gather useful measurement data for characterization, monitoring, or control. The specific parameters of your application will dictate the resolution, accuracy, channel count, and speed requirements of a data acquisition system. A wide assortment of data acquisition components and solutions is available on the market, including low-cost USB modules, benchtop data loggers, and large channel systems. Before you start your search for a data acquisition solution, carefully analyze your application requirements to understand how much capability and performance you need to purchase.

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DELLQUINN: A Machine Learning-Based, Resource Capacity Optimization Solution

whitePaper | August 23, 2022

This white paper describes the features and benefits of a machine learning-based resource optimization solution that helps the Dell High End Storage Field Services Team perform capacity planning more efficiently and with the potential to optimize resource utilization and overtime.

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Spotlight

Grammarly

Grammarly is on a mission to improve lives by improving communication. Grammarly’s communication assistance technology is used by more than 50,000 teams and 30 million people every day. Founded in 2009, Grammarly uses a combination of technological approaches and human expertise to offer unmatched, market-leading communication support to individuals and enterprises. Our AI-powered suggestions help people communicate with confidence and help businesses achieve better results. Grammarly team members use advanced machine learning to break new ground in natural language processing that analyzes written sentences to understand context and tone. Our newest product, GrammarlyGO, responsibly applies generative AI to help people quickly compose writing, rewrite paragraphs, draft replies to emails, and more with a prompt. It’s contextually aware and accounts for personal voice, offering relevant and personalized suggestions that respect user agency and authenticity. All Grammarly services ar

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