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15 May 2020  |  North America  |  Market Research

Artificial Intelligence in the Global Homes & Buildings Industry, Forecast to 2030

A Profound Understanding of Value-based Outcome is Crucial for the Mass Acceptance of Artificial Intelligence in the Homes & Buildings Industry

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Homes & buildings is a technology-driven industry that is witnessing innovation at a rapid pace, especially in Artificial Intelligence (AI) through machine learning and deep learning capabilities. Both leading and emerging participants in this space are strongly competing to secure a customer base and maximise their revenue potential. This study id...

The automotive industry value chain is transitioning from the traditional pyramid form to a flat one. Technology companies work with original equipment manufacturers (OEMs) and tiered suppliers to develop, validate, supply, and integrate advanced driver-assist technologies that enable hands-off driving to enhance the comfort and convenience for the...

Artificial Intelligence (AI) allows computer and computer-enabled systems to transcend beyond traditional computing and provides a layer of intelligence through algorithms that enable machines to complete tasks and produce results that are analogous to human-like thought processes, decision making and problem solving. The democratization of data br...

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 various type of AI-enabled solutions with real-time monitoring and automation, conversational platforms,...

The contact center industry benefitted greatly from COVID-19 pandemic market dynamics, which shifted millions of agents to work-at-home (WAH) models and accelerated cloud contact center-as-a-service (CCaaS) adoption. In 2021 and 2022, investments soared, and 2023 is the aftermath of that shift. Greater macroeconomic factors loom large over this...

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...

Intelligence- and data-driven decision-making have quickly emerged as core competencies that drive an organization s security strategies to safeguard the people, assets, and data for which they are responsible. Ongoing convergence between physical and digital security systems, the influx of new analytics to inform operational decisions, and digital...

The modern threat landscape has undergone a profound transformation, driven by the global push toward digitalization. This has led to expanded attack surfaces, heightened IT complexity, and increased risks in supply chains. Today, threat actors launch multivector attacks that target organizations internal networks and their external digital assets...

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...