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Global Artificial Intelligence Growth Opportunities

Global Artificial Intelligence Growth Opportunities

Transformative Mega Trends of AI

RELEASE DATE
17-Nov-2021
REGION
Global
Deliverable Type
Market Research
Research Code: PC87-01-00-00-00
SKU: IT04416-GL-MT_25954
AvailableYesPDF Download

$2,450.00

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SKU
IT04416-GL-MT_25954

Global Artificial Intelligence Growth Opportunities
Published on: 17-Nov-2021 | SKU: IT04416-GL-MT_25954

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Description

Artificial intelligence leverages algorithms and large datasets to identify underlying relationships and drive new or better business outcomes. While still at a nascent stage, AI technologies are being adopted across industries globally to innovate business models, drive operational efficiencies, and create strategic differentiation. The potential impacts of AI on people, organizations, and society are widespread. COVID-19 pandemic further accelerated the pace of digital transformation and AI adoption as organizations seek to explore new means of creating sustainable business models as well as drive customer value, effectively manage the employee lifecycle in a distributed environment, and optimize costs. Further, the AI ecosystem is evolving rapidly making it essential to understand the overarching trends that are impacting AI and its adoption. Some of these trends include:
•     Augmenting AI capabilities with enterprise applications
•     Advancements in cognitive capabilities to assess emotions and sentiments
•     Adoption of Edge AI
•     Public cloud service providers playing a pivotal role in the AI ecosystem
•     Focus on ethical AI

As artificial intelligence (AI) and machine learning (ML) will transform businesses, it will create a broad spectrum of new revenue opportunities for ICT vendors and service providers. The opportunities cut across advisory services, applications, and infrastructure. As the mega trends shape the AI landscape, it will have a ripple effect in terms of new revenue and growth opportunities for start-ups as well as large global information and communication technology (ICT) companies.

Further, as we expect democratizing of AI/ML, there will be a move slowly away from applications that only can be developed by data scientists for platforms, making it easier to develop and deploy solutions.

Author: Nishchal Khorana

Infographic
Table of Contents

Why is it Increasingly Difficult to Grow?

The Strategic Imperative 8™

The Impact of the Top Three Strategic Imperatives on Artificial Intelligence

Growth Opportunities Fuel the Growth Pipeline Engine™

Growth Drivers for AI

Growth Restraints for AI

AI/ML—Shift toward Democratization

Maturing Ecosystem

Key Use Cases

Key Trends in the Artificial Intelligence Industry

Augmenting AI Capabilities with Enterprise Applications

Augmenting AI Capabilities with Enterprise Applications (continued)

Augmenting AI Capabilities with Enterprise Applications (continued)

Augmenting AI Capabilities with Enterprise Applications (continued)

Advancements in Cognitive Capabilities to Assess Emotions and Sentiments

Advancements in Cognitive Capabilities to Assess Emotions and Sentiments—Emotion Artificial Intelligence

Advancements in Cognitive Capabilities to Assess Emotions and Sentiments—Emotion Artificial Intelligence (continued)

Advancements in Cognitive Capabilities to Assess Emotions and Sentiments—Sentiment Analytics (continued)

Adoption of Edge AI

Adoption of Edge AI (continued)

Public Cloud Service Providers are Playing a Pivotal Role in the AI Ecosystem

Public Cloud Service Providers are Playing a Pivotal Role in the AI Ecosystem (continued)

Focus on Ethical AI

Focus on Ethical AI (continued)

Focus on Ethical AI (continued)

Way Forward

Way Forward (continued)

Growth Opportunity 1: Consulting and Advisory Services for AI Roadmap

Growth Opportunity 1: Consulting and Advisory Services for AI Roadmap (continued)

Growth Opportunity 2: Industry Vertical/Function-specific Applications to Enhance Customer Value

Growth Opportunity 2: Industry Vertical/Function-specific Applications to Enhance Customer Value (continued)

Growth Opportunity 3: Edge Data Centers for Supporting Select AI Use Cases

Growth Opportunity 3: Edge Data Centers for Supporting Select AI Use Cases (continued)

Growth Opportunity 4: Integration Services to Build Customized Solutions for AI by Leveraging Emerging Technologies

Growth Opportunity 4: Integration Services to Build Customized Solutions for AI by Leveraging Emerging Technologies (continued)

List of Exhibits

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Artificial intelligence leverages algorithms and large datasets to identify underlying relationships and drive new or better business outcomes. While still at a nascent stage, AI technologies are being adopted across industries globally to innovate business models, drive operational efficiencies, and create strategic differentiation. The potential impacts of AI on people, organizations, and society are widespread. COVID-19 pandemic further accelerated the pace of digital transformation and AI adoption as organizations seek to explore new means of creating sustainable business models as well as drive customer value, effectively manage the employee lifecycle in a distributed environment, and optimize costs. Further, the AI ecosystem is evolving rapidly making it essential to understand the overarching trends that are impacting AI and its adoption. Some of these trends include: • Augmenting AI capabilities with enterprise applications • Advancements in cognitive capabilities to assess emotions and sentiments • Adoption of Edge AI • Public cloud service providers playing a pivotal role in the AI ecosystem • Focus on ethical AI As artificial intelligence (AI) and machine learning (ML) will transform businesses, it will create a broad spectrum of new revenue opportunities for ICT vendors and service providers. The opportunities cut across advisory services, applications, and infrastructure. As the mega trends shape the AI landscape, it will have a ripple effect in terms of new revenue and growth opportunities for start-ups as well as large global information and communication technology (ICT) companies. Further, as we expect democratizing of AI/ML, there will be a move slowly away from applications that only can be developed by data scientists for platforms, making it easier to develop and deploy solutions. Author: Nishchal Khorana
More Information
Deliverable Type Market Research
No Index No
Podcast No
Author Nishchal Khorana
Industries Information Technology
WIP Number PC87-01-00-00-00
Is Prebook No
GPS Codes 9705-C1,9658