Search results for: 'Edge Computing and the Future of Data Management'

This edition of the Cyber Security Technology Opportunity Engine (TOE) captures developments related to AI-Native Identity Security, Supply-Chain Security, AI-Native Application Security, Data Security, Social Engineering Defense, Autonomous Penetration Testing, AI-Powered Security Workflows, External Threat Landscape Management, Browser Detection ...

Digital risk protection (DRP) is a set of cybersecurity procedures that consists of four strategic pillars: mapping out the digital attack surface area, monitoring the threat landscape, mitigating scam and phishing attacks, and managing a comprehensive risk strategy to protect an organization’s external-facing digital assets beyond its network peri...

Global data center investment will continue on a high growth trajectory due to high demand from hyperscale cloud and a high degree of data center activity in emerging economies. The burgeoning AI industry will further accelerate data center investments. A diverse range of industry players, from major hyperscale corporations to prominent colocation ...

Data is quickly becoming one of the greatest assets businesses own. When exposed to analytics, data offers insights that enable businesses to differentiate themselves from competitors. However, this need to capture and analyze data is a double-edged sword: while it helps businesses maintain a competitive edge, it also presents challenges in how to ...

The population health management (PHM) market continues to benefit from provider participation in risk-based reimbursement models, including Medicare Advantage, the Medicare Shared Savings Program, and other value-based care arrangements. As organizations assume greater financial accountability, demand is increasing for platforms that can improve q...

This report provides an in-depth analysis of the global human risk management (HRM) market, highlighting its pivotal role in transforming cybersecurity strategies. It analyzes the increasing integration of HRM into broader cybersecurity frameworks, driven by advancements in artificial intelligence (AI), machine learning (ML), and automation technol...

To deliver excellent customer experience, organizations require a single view of customers across all touchpoints, which they can achieve through customer relationship management (CRM) solutions. Businesses aim to capture and leverage the wealth of available customer data to have profitable, productive, value-rich, experience-enhancing, and loyalty...

Companies must understand and analyze how the future workforce will transform due to rising global uncertainties, technological advancement, multigenerational contribution, growing climatic concerns, and other similar factors. This study explores the future workforce and assesses which generation will drive the work trend, generational work expe...

Workforce engagement management (WEM) drives performance, agent engagement, and an improved customer experience (CX) in the contact center industry. Frost & Sullivan defines WEM as a strategy to integrate disparate contact center workforce applications, monitor and analyze customer and agent interactions, and automate processes to optimize contact...