Search results for: 'Decision Intelligence Platforms in North America'

One of the most powerful applications of AI technology in CX today is AI-powered analytics. The introduction of AI analytics can supercharge contact center business intelligence, transforming it from a tool that tells a story of the past to an instrument that informs the future. AI analytics enable a range of new capabilities, including:Automated i...

This Frost Radar™ investigates the growth and innovation activity of clinical decision support system (CDSS) providers in their pursuit to help end users take the next best medical care action. A CDSS provides professionals with access to organized clinical knowledge integrated with the patient’s medical profile to improve their health and overall ...

The global push toward digitalization has expanded attack surfaces and heightened IT risks. Today, threat actors launch multi- vector attacks on organizations, targeting internal networks and external digital assets. As organizations ramp up cybersecurity spending and tools to mitigate these risks, the efficacy of these measures depends on timely i...

15 Sep 2022  |  Global  |  Market Research

Global Cyber Threat Intelligence (CTI) and Threat Intelligence Platform (TIP) Markets—Forecast to 2024

The Ever-evolving and Sophisticated Threat Landscape Fuels Demand for Threat Intelligence Solutions

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Threat intelligence is the collection, analysis, and operationalization of external and internal data about past, present, and future cyberattacks that organizations can leverage to understand their security environments and prevent threats. Frost & Sullivan identifies three segments in this broad market: cyber threat intelligence (CTI), threat...

The risk intelligence industry is undergoing rapid transformation as organizations seek more holistic, data‑driven visibility into geopolitical, physical security, cyber, supply chain, and compliance risks. This Frost Radar analysis evaluates leading vendors that deliver comprehensive risk intelligence platforms, assessing their innovation strategi...

With the increasing sophistication and occurrences of security threats across both cyber and physical ecosystems, businesses must adopt more advanced systems and feature-rich platforms to enhance their security posture. Digital intelligence solutions have emerged as a central component of a converged, intelligence-driven security operation. This an...

The need to adopt threat intelligence (TI) has transcended compliance requirements it is now essential due to the evolving threat landscape. Organizations must integrate TI into their IT frameworks to operate effectively. Global digitalization initiatives such as cloud migration, IoT, AI, and remote work have expanded attack surfaces, IT complexity...

Artificial Intelligence (AI) has emerged to be one of the most essential technologies to develop machine intelligence. The technology has advanced significantly over the ages to empower applications and machines to learn from its own experiences and perform autonomously. Technology evolution in the AI space is continuously driving the development o...

Edge intelligence is the combination of business intelligence and automation that can sense and synthesize massive volumes of data and make decisions close to the data collection point. Applications include collecting, analyzing, and communicating data within the specified ecosystem and making real-time decisions to achieve unprecedented levels of ...