Ai Ml In Enterprise Mobility Shaping Strategy And Enhancing Cybersecurity
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AI/ML in Enterprise Mobility: Shaping Strategy and Enhancing Cybersecurity
Author: Seema Kumari
language: en
Publisher: Libertatem Media Private Limited
Release Date: 2023-08-11
This book provides an in-depth analysis of the role AI and Machine Learning (ML) play in transforming enterprise mobility platforms, with a special focus on their influence on enterprise mobility strategies from a cybersecurity perspective. With the rapid adoption of mobile technologies in enterprises, security concerns have become paramount, and AI/ML have emerged as powerful tools to address these challenges. The book explains how AI/ML can enhance security protocols, streamline mobile device management, and detect threats in real-time, thereby fortifying the mobility infrastructure. Readers will explore the evolving landscape of enterprise mobility, from managing distributed workforces to securing sensitive data across mobile platforms. Through practical insights and case studies, the book will guide enterprise strategists, IT leaders, and cybersecurity professionals in leveraging AI/ML for building robust and secure mobility solutions.
Artificial Intelligence in Practice
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.
AI in Cybersecurity
This book presents a collection of state-of-the-art AI approaches to cybersecurity and cyberthreat intelligence, offering strategic defense mechanisms for malware, addressing cybercrime, and assessing vulnerabilities to yield proactive rather than reactive countermeasures. The current variety and scope of cybersecurity threats far exceed the capabilities of even the most skilled security professionals. In addition, analyzing yesterday’s security incidents no longer enables experts to predict and prevent tomorrow’s attacks, which necessitates approaches that go far beyond identifying known threats. Nevertheless, there are promising avenues: complex behavior matching can isolate threats based on the actions taken, while machine learning can help detect anomalies, prevent malware infections, discover signs of illicit activities, and protect assets from hackers. In turn, knowledge representation enables automated reasoning over network data, helping achieve cybersituational awareness. Bringing together contributions by high-caliber experts, this book suggests new research directions in this critical and rapidly growing field.