Search results for: 'software energy ai da0a analysis'

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...

03 Oct 2022  |  Global  |  Technology Research

No Code: The Future of Software Development Process

No-code Platforms Will Disrupt the Way Enterprises Develop Their Applications.

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As enterprises emerge from the COVID-19 pandemic, many are still struggling to completely resume operations, such as streamlining workflows, improving employee productivity, and enhancing customer experience, in an operating environment that is vastly different from what it was 2 years ago. Enterprises’ teams are more geographically dispersed than ...

10 Jan 2022  |  Global  |  Market Research

Global AI-enabled Business Intelligence Growth Opportunities

Transformative Mega Trends of AI-enabled Business Intelligence Solutions to Democratize Enterprise Analytics

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Conversations around the value of business intelligence platforms are currently shifting from being focused on data visualization to emphasizing the benefits of augmented analytics. Business intelligence vendors have introduced new artificial intelligence (AI) tools that allow users with limited training and statistical knowledge to seamlessly acce...

The architecture of the global energy market is changing. The market model is transforming from highly centralized power distribution into decentralized, distributed energy management enabled by intelligent software and new approaches to data management. Three trends—digitalization, decentralization, and decarbonization—are steering the transformat...

02 Nov 2022  |  North America  |  Market Research

Strategic Insights and Growth Opportunities for Software-defined Vehicles

Future Growth Potential in the Automotive Industry Hinges on a Service-oriented Architecture with Repeatable Avenues of Revenue Generation

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Key Issues Addressed

Original equipment manufacturers (OEMs) used to differentiate their products based on mechanical features. Today, however, consumers are increasingly looking for features defined by software, such as driver assistance, connectivity, and comfort-convenience services. The convergence of technologies including electrification, autonomous driving, shar...

Artificial intelligence (AI) and machine learning (ML) have been adopted widely across industries over the years due to the multifaceted benefits that the technologies bring about. AI and ML have been also increasingly adopted across industries, from such as healthcare, education, information and communication technologies (ICT), logistics, marit...

This Frost & Sullivan research service examines the role artificial intelligence (AI) will play in the transformation of the public sector. As the public sector continues to evolve, governments have started adopting AI by implementing pilot projects in partnership with the private sector. Among the key public sector areas, defence and military has ...

01 Sep 2021  |  Global  |  Market Research

Global Retail Artificial Intelligence (AI) Growth Opportunities

AI Solutions to Drive the Future Growth Potential in the Retail Space for Technology Providers

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With a record 12,200 outlets being shuttered in the US in 2020 alone, retailers across the world have pivoted to omnichannel strategies as part of the new normal. Even with reopening efforts well underway around the world, retailers are likely to persist with their omnichannel endeavors due to the pandemic accelerating shifts in customer behavior a...

24 Jan 2023  |  North America  |  Market Research

US Healthcare Claims Management Growth Opportunities

Intelligent Tools to Automate Payer and Provider Functions Will Boost Efficiency and Deliver a Digital Customer Experience

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The healthcare claims management industry is evolving. Changes include a shifting reimbursement landscape (for virtual care, urgent care, telehealth, and at-home care); a transition to new, value-based care models (e.g., population-based reimbursement and partial and full capitation payment); and disruption from big tech companies, big-box retailer...