Generative Artificial Intelligence Emerges as a Globally Disruptive Technology

Generative Artificial Intelligence Emerges as a Globally Disruptive Technology

Generative AI Creates Future Growth Potential across IT Applications and Services

RELEASE DATE
31-May-2023
REGION
Global
Deliverable Type
Market Research
Research Code: PED4-01-00-00-00
SKU: IT04718-GL-MT_27726
AvailableYesPDF Download
$2,450.00
In stock
SKU
IT04718-GL-MT_27726

Generative Artificial Intelligence Emerges as a Globally Disruptive Technology
Published on: 31-May-2023 | SKU: IT04718-GL-MT_27726

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Generative artificial intelligence (AI) applications have captured widespread attention from enterprise and consumer segments. This technology marks an inflection point in AI adoption, with the potential to transform business models, company functions, and job roles. While enterprise adoption is still nascent, organizations are exploring the potential impact and seeking to understand the steps to build adoption readiness. In addition, Generative AI comes with legal and ethical concerns that must be considered and planned for.

Enterprises must encourage a culture of experimentation and simultaneously follow a structured approach to prioritize use cases and accelerate implementation. The technology’s significance and disruptive potential create new growth opportunities across the information and communication technologies (ICT) ecosystem for digital infrastructure applications, boosting algorithm training and application deployments. Enterprise Generative AI will be critical for vendors and service providers to assess the potential application opportunities for adoption use cases and establish strategic partners to develop strong value propositions and accelerate go-to-market strategies.

Author: Nishchal Khorana

Why is it Increasingly Difficult to Grow?

The Strategic Imperative 8™

The Impact of Top 3 Strategic Imperatives on Generative Artificial Intelligence

Growth Opportunities Fuel the Growth Pipeline Engine™

Overview of

Overview of Generative AI (continued)

Overview of Generative AI (continued)

Background of Foundation Models

Description of Key Generative AI Foundation Models

Overview of Generative AI Segmentation

Overview of Generative AI—ChatGPT

Generative AI for Enterprises

Generative AI—Key Use Cases

Generative AI—Key Use Cases (continued)

Generative AI—Key Use Cases (continued)

Generative AI—Key Use Cases (continued)

Generative AI—Implementation Steps

Generative AI Implementation—Key Considerations

Generative AI Ecosystem

Generative AI Ecosystem (continued)

Public Cloud Service Providers are Key Industry Participants in the Generative AI Ecosystem

AWS—Key Offerings

Google—Key Offerings

Alibaba—Key Offerings

Growth Drivers

Growth Restraints

Growth Opportunity 1: Industry-specific Generative AI Solutions

Growth Opportunity 1: Industry-specific Generative AI Solutions (continued)

Growth Opportunity 2: AI Advisory and Implementation Services

Growth Opportunity 2: AI Advisory and Implementation Services (continued)

Growth Opportunity 3: Data Management Services

Growth Opportunity 3: Data Management Services (continued)

List of Exhibits

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Generative artificial intelligence (AI) applications have captured widespread attention from enterprise and consumer segments. This technology marks an inflection point in AI adoption, with the potential to transform business models, company functions, and job roles. While enterprise adoption is still nascent, organizations are exploring the potential impact and seeking to understand the steps to build adoption readiness. In addition, Generative AI comes with legal and ethical concerns that must be considered and planned for. Enterprises must encourage a culture of experimentation and simultaneously follow a structured approach to prioritize use cases and accelerate implementation. The technology’s significance and disruptive potential create new growth opportunities across the information and communication technologies (ICT) ecosystem for digital infrastructure applications, boosting algorithm training and application deployments. Enterprise Generative AI will be critical for vendors and service providers to assess the potential application opportunities for adoption use cases and establish strategic partners to develop strong value propositions and accelerate go-to-market strategies. Author: Nishchal Khorana
More Information
Deliverable Type Market Research
Industries Information Technology
No Index No
Is Prebook No
Keyword 1 Disruptive Technology
Keyword 2 Artificial Intelligence Industry
Keyword 3 Generative AI
Podcast No
WIP Number PED4-01-00-00-00