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The Future of Machine Learning in Cybersecurity

CIO Business Intelligence

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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Digital Risk is Primary Focus for Corporate Boards in 2020 & Beyond

John Wheeler

Digital risk continues to grow in importance for corporate boards as they recognize the critical nature of digital business transformation today. Not only that, but 49% of directors cite the need to reduce legal, compliance and reputation risk related to digital investments. However, digital risk is different.

Risk 117
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Digital Transformation: How To Protect Your Organization From Cyber Risk

Smart Data Collective

million —and organizations are constantly at risk of cyber-attacks and malicious actors. In order to protect your business from these threats, it’s essential to understand what digital transformation entails and how you can safeguard your company from cyber risks. What is cyber risk?

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What’s Missing in Most CISO’s Security Risk Management Strategies

CIO Business Intelligence

At the foundation of cybersecurity is the need to understand your risks and how to minimize them. Individuals and organizations often think about risk in terms of what they’re trying to protect. When talking about risk in the IT world, we mainly talk about data, with terms like data privacy, data leakage and data loss.

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Why Machine Learning And Progressive Web Apps Are A Great Match

Smart Data Collective

Machine learning is playing an increasingly important role in web development. However, advances in machine learning have made them much more robust. One of the most important ways that machine learning is changing the Internet user experience is with the development of progressive web applications (PWAs).

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3 business benefits of stronger security using Zero Trust principles

CIO Business Intelligence

continues to roll out, the internet of things (IoT) is expanding, and manufacturing organizations are using the latest technologies to scale. Attacks against OT systems pose risks beyond financial losses. To learn more, visit us here. As Industry 4.0 We hear about these types of attacks with distressing regularity.

ROI 113
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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

The criticality of these synergies becomes obvious when we recognize analytics as the products (the outputs and deliverables) of the data science and machine learning activities that are applied to enterprise data (the inputs). These may not be high risk. They might actually be high-reward discoveries.

Analytics 166