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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Prevoty

Prevoty provides a new RASP (runtime application self-protection) capability, enabling applications to protect themselves. Unlike traditional security approaches that try to defend against hackers at the network layer, Prevoty works inside the application itself and the analysis engine is smart enough to actively prevent anything malicious from executing.

OTHER WHITEPAPERS
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Artificial Intelligence Policy and the European Union

whitePaper | August 30, 2022

In late 2019, then newly elected European Commission President Ursula von der Leyen announced her intent to make regulating the use of artificial intelligence (AI) a top priority for Europe. She promised to “put forward legislation for a coordinated European approach on the human and ethical implications of Artificial Intelligence” within her first 100 days in office.

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How Data Can Help Us Get Back to School Safely

whitePaper | August 18, 2020

This year, back to school for college students means more than just buying supplies, finding the right dorm and making sure to get into the proper classes. The COVID-19 pandemic has changed the annual fall ritual into one where campuses need to make sure they are safe from infection while providing a healthy environment for learning, growth and community.

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IBM Watson NLP Performance with Intel Optimizations

whitePaper | December 29, 2022

In our modern world, taking advantage of Artificial Intelligence (AI) to gain insights from data is becoming more prevalent day by day. Graphical Processing Unit (GPU) systems use multiple cores to perform parallel processing, running select workloads to decrease processing times. Compared to GPUs, Central Processing Units (CPUs) have fewer cores; previously, this resulted in less capacity for parallelized processing. To move beyond this limitation, Intel has released new hardware that runs typical AI mathematical computations more efficiently on the CPU, and has also released libraries with hardware optimizations that enable an additional increase in performance.

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Cloud Infrastructures –Last Call for Boarding

whitePaper | July 16, 2020

Is cloud computing becoming the norm? As part of the digital offensives by many companies, cloud infrastructures are fast becoming a crucial technology driver and success factor for innovative business models and digital products. The growing interest in the Internet of Things and machine learning sent the adoption rate of the cloud soaring at numerous companies. Now, it is a question of “how” rather than “whether” cloud services can be used successfully at German companies.

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Artificial Intelligence in the corporate world

whitePaper | November 25, 2019

In 2020, artificial intelligence will no longer be a vision of the future, but a tangible reality: language agents such as Siri, Cortana or Alexa are already pervading our everyday lives. The smart assistants play our favorite music, make restaurant suggestions, recommend films, identify the fastest route to our destination and steer our car better into the parking lot than we could. We use artificially intelligent systems that are becoming more and more a matter of course both at home and at work. AI systems have slipped into our everyday lives and they are here to stay.

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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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Spotlight

Prevoty

Prevoty provides a new RASP (runtime application self-protection) capability, enabling applications to protect themselves. Unlike traditional security approaches that try to defend against hackers at the network layer, Prevoty works inside the application itself and the analysis engine is smart enough to actively prevent anything malicious from executing.

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