Search results for: 'user and entity behavior analytics based on machine learning'

As intrusions employ a wide variety of attack vectors and methods, companies have to seriously consider continuous security monitoring, which provides real-time visibility of users and their devices when they attempt to connect to or work on an enterprise network. Security monitoring gives companies the ability to constantly look over their network...

The rapid evolution of fintech demands innovative solutions that integrate advanced technologies to enhance efficiency, security, and scalability. This edition of IT, Computing and Communications (ITCC) Technology Opportunity Engine (TOE) captures developments related to Artificial Intelligence, Machine Learning, SaaS, Fintech, IoT Platform, Edge C...

When they work together, software development and operations teams can advance a company's business transformation. The integration of these teams, also known as DevOps, streamlines the legacy software development process. However, with the growing emphasis on the digital transformation, the pace of development and innovation has increased. Therefo...

Businesses receive massive amounts of customer feedback every day, obtained through eCommerce platforms, customer support calls, emails, social media platforms, bots, and chats. This presents companies with an opportunity to garner customer data that they can use to enhance market intelligence. Voice of customer (VoC) refers to the practice of ...

This edition of the Cyber Security Technology Opportunity Engine (TOE) captures developments related to Innovations in Behavioural Analytics-based Cloud Protection, Email Authentication, Cloud-native Security Observability, Cloud-based Identity Security, Edge Security, Cloud Threat Protection, and Digital Healthcare Security.Cyber Security TOE’s mi...

As autonomy becomes the key objective of industries across the globe, artificial intelligence (AI) and machine learning (ML) systems too are being driven to adopt a more decision making role with an objective to find and implement the most effective methods of executing business goals. A key area of interest for businesses is to implement ML system...

Over the last five years, businesses have accelerated their digital transformation journeys. Businesses are struggling with labor shortages and productivity challenges due to a lack of resources and employee burnout. The economic downturn has pressured businesses to innovate and enhance employee experience (EX), efficiency, and productivity.Organiz...

As industries across the globe pursue digitization across functions, more and more data are being generated and utilized to empower decision making and insight generation. As the volume and complexity of data increases, it is also becoming difficult for traditional machine learning (ML) algorithms to make sense of a large number of variables. The l...

Social media analytics is the ability to evaluate and examine data gathered from social media platforms. Social media data includes metrics beyond likes, followers, views, clicks, and impressions. Businesses leverage social media analytics to understand customer preferences and gain competitive intelligence. Social media analytics can be predi...