Search results for: 'cloud data learning'

The study focuses on the impacts of three evolving business models—service-based, fee-based, and eCommerce—that test and measurement (T&M) providers will face from 2016. Mega Trends across industry verticals such as automotive, healthcare, aerospace, consumer electronics, communication, and energy and environment lead to the creation of certain fac...

With the significant rate of migration to the cloud, cloud service providers should ensure that security of proprietary data and application performance are not compromised. These challenges are compounded with the significant trend of virtualisation, as well as the increase in tier complexity due the rise of a considerable number of other third-pa...

This research service focuses on the convergence of technologies in industrial operations. Various digital technologies are emerging from startup and leading companies worldwide over the last 5 years to leverage and streamline workflow in industrial operations. Some of the digital technologies have been converged through new product innovations, pa...

Companies globally are trying to understand on how to keep their data safe and at the same time use technologies such as cloud computing to stay ahead of competition. Global companies have taken the hybrid route, where they are keeping their sensitive data inside their own data centers and the rest of the data is kept in the cloud. Companies can us...

24 Sep 2021  |  Global  |  Market Research

Airport Digitalization—Technology Trends and Future Best Practices

Big Data, Advanced Analytics, and Cloud Computing Help Transform the Technology Strategy of Airports

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Global airports have faced extreme challenges in generating sustainable revenues and maintaining expenditure due to the sudden decline in passenger demand and aircraft operations caused due to the COVID-19 crisis. The sudden spread of the coronavirus, slow vaccination rates, uncertain travel regulations, declining passenger confidence, and recedin...

This edition of the Cyber Security Technology Opportunity Engine (TOE) captures developments related to Innovations in AI Security, Agentless Threat Detection, Cloud Security, Identity & Access Management, AI-Enabled Data Security, Attack Surface Management, Threat Detection and Response, Attack Path-Based Identity Security and Browser Security.Cyb...

This edition of IT, Computing and Communications (ITCC) Technology Opportunity Engine (TOE) explores significant advancements in IT and computing, focusing on enterprise solutions driving digital transformation across industries. It highlights a unified platform enhancing B2B data integration with real-time monitoring and automation, a database man...

This Frost & Sullivan research service examines the role artificial intelligence (AI) will play in the transformation of the automotive space. AI is a key disruptive technology, wherein automakers are evolving into technology firms and expanding their service offerings beyond manufacturing vehicles. Technology implementation has increased, and the ...

This edition of the Cyber Security Technology Opportunity Engine (TOE) highlights emerging cybersecurity innovations, focusing on AML, fraud prevention, runtime application security, and zero trust architecture. These solutions reduce manual threat management, enhance identity protection, and utilize machine learning for real-time detection and res...