Search results for: 'learning ad development'

The discovery of new drug targets for diseases with unmet medical needs has long been hindered by the complexity of processing and interpreting massive volumes of biological data. The increasing volume and veracity of clinical and research data compels the use of enabling tools and technologies, such as cloud computing, AI, machine learning, natura...

The progressive digitalisation of the security eco system is substantially impacting security missions and traditional operating processes. Worldwide, security end-users are exploring and adopting new digital tools to tackle existing and upcoming threats in a more cost efficient way. Frost & Sullivan has identified four different trends disrupting ...

With improvements in data acquisition and computing power, artificial intelligence (AI) is becoming more of a reality each day. Companies are constantly developing self-evolving machine learning approaches and hardware enhancements to support AI applications. This study explores new innovations in machine learning and computing that will enable the...

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...

Regulators around the world have become stricter in their compliance and processes. Rising levels of regulation and challenging regulatory expectations are having significant operational impacts on financial services companies as they require talent, processes, and innovative solutions. RegTech solutions have the potential to make compliance more e...

A major challenge in drug discovery is the limited number of gene targets that can be targeted for the development of a drug molecule. Only close to 400 genes are proven targets for US FDA-approved drugs. 80% of human genes are unexplored as targets, and some are considered undruggable. The identification and the selection of novel drug targets (p...

The global economy is poised for a slowdown in 2025, both in terms of economic activity and investment momentum, partly driven by escalating tariff measures under US President Donald Trump. As tariff wars reshape global trade flows, they are accelerating the regionalization and localization of production ecosystems.In response to rising US tariffs,...

Despite a subdued economic outlook, 2023 is forecast to remain upbeat for the global healthcare industry, supported by steady emerging market growth, increased post-pandemic health-centric policies, rapidly aging populations in major developed nations, and higher R&D spending. Rapid technological advancements and digital transformation are improvin...

09 May 2016  |  North America  |  Market Research

Automotive Voice Recognition Market, Forecast to 2022

Voice Biometrics, Virtual Assistant and Deep Learning Emerge as Major Market Disruptors

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Voice Recognition (VR) technology is primarily focused only on infotainment use cases. However, Original Equipment manufacturers (OEMs) and Tier-I suppliers are significantly investing in biometric and machine learning technologies. Even though OEM’s are trying to adopt cloud-based and hybrid solutions, they are still dependent on embedded solution...