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The Future of Machine Learning in Cybersecurity

CIO

Machine learning (ML) is a commonly used term across nearly every sector of IT today. This article will share reasons why ML has risen to such importance in cybersecurity, share some of the challenges of this particular application of the technology and describe the future that machine learning enables.

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How Machine Learning is Used in Finance and Banking

Exadel

The banking landscape is constantly changing, and the application of machine learning in banking is arguably still in its early stages. Machine learning solutions are already rooted in the finance and banking industry. Machine Learning in Banking Statistics. Onboarding and Document Processing.

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Scaling Media Machine Learning at Netflix

Netflix Tech

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. We will then present a case study of using these components in order to optimize, scale, and solidify an existing pipeline.

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Obrizum uses AI to build employee training modules out of existing content

TechCrunch

The market for corporate training, which Allied Market Research estimates is worth over $400 billion, has grown substantially in recent years as companies realize the cost savings in upskilling their workers. By creating what Agley calls “knowledge spaces” rather than linear training courses. ” Image Credits: Obrizum.

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MVP versus EVP: Is it time to introduce ethics into the agile startup model?

TechCrunch

However, today’s startups need to reconsider the MVP model as artificial intelligence (AI) and machine learning (ML) become ubiquitous in tech products and the market grows increasingly conscious of the ethical implications of AI augmenting or replacing humans in the decision-making process. These algorithms have already been trained.

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Machine Learning for Fraud Detection in Streaming Services

Netflix Tech

Data analysis and machine learning techniques are great candidates to help secure large-scale streaming platforms. We present a systematic overview of the unexpected streaming behaviors together with a set of model-based and data-driven anomaly detection strategies to identify them.

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VRAI wants to tackle the energy crisis by bringing VR simulation training to offshore wind sector

TechCrunch

Virtual Reality (VR) has struggled to transition too far beyond gaming circles and specific industry use-cases such as medical training , but with the burgeoning metaverse movement championed by tech heavyweights such as Meta , there has been a renewed hope (and hype) around the promise that virtual worlds bring. ” Training day.

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