Ready, Set, Go! The Race is on to Capitalize on Generative AI in the Contact Center
Published on: 08-Nov-2023 | SKU: IT_2023_306

Need more details?
$2,450.00
DownloadLink
Need more details?

Generative AI (GenAI) has garnered huge interest and holds great promise for optimizing business operations by automating routine tasks, streamlining workflows, and providing intelligent insights that improve efficiency, quality, and performance.

Ongoing innovation in artificial intelligence (AI) has introduced GenAI with far-reaching implications across all businesses and industries. GenAI relies on machine learning foundational models to generate new data, including text, images, audio, video, and even programming code. By learning patterns from existing datasets, these models have showcased remarkable natural language understanding (NLU) capability, adding a “humanization” element to AI.

Specific to customer experience (CX) and contact centers, the impact of GenAI is growing quickly. Its transformative nature can be expressed as next-generation AI for the contact center, building upon first-generation AI applications, including intelligent virtual agents, personalization, and advanced analytics. The incremental value derived from GenAI for CX and contact centers is substantial. GenAI is a relatively new technology and is evolving rapidly. The contact center ecosystem is actively injecting it into technology stacks, with a relative GenAI “arms race” well underway.

As GenAI begins to take hold in the CX industry, this Frost & Sullivan study dives deep into its contact center applications and the growth opportunities the technology enables today.

Author: Bernardin Arnason

Why Is It Increasingly Difficult to Grow?

The Strategic Imperative 8™

Impact of the Top 3 Strategic Imperatives on Generative AI (GenAI) for Customer Experience (CX)

Growth Opportunities Fuel the Growth Pipeline Engine™

GenAI Background

Traditional AI vs. GenAI for CX

GenAI for CX

Foundation of GenAI

Foundational Model Options for GenAI

Foundational Model Use Options: Prompt Tuning

Foundational Model Use Options: Fine-tuning

Foundational Model Use Options: Custom Models

Foundational Model Option Factors

Ethical AI Principles Emerging as a Core Aspect of AI Technology Implementation

GenAI CX Application Evolution

CX/Contact Center GenAI-infused Applications

CX/Contact Center GenAI-infused Applications (continued)

CX/Contact Center GenAI-infused Applications (continued)

CX/Contact Center GenAI-infused Applications (continued)

CX/Contact Center GenAI-infused Applications (continued)

Evolution of GenAI for CX: What’s Next?

The Growing GenAI for CX Ecosystem

Growth Drivers

Growth Restraints

Growth Opportunity 1: Advanced Analytics

Growth Opportunity 1: Advanced Analytics (continued)

Growth Opportunity 2: KM Performance

Growth Opportunity 2: KM Performance (continued)

Growth Opportunity 3: Language Translation at Scale

Growth Opportunity 3: Language Translation at Scale (continued)

List of Exhibits

Legal Disclaimer

List of Figures
  • Generative AI for CX: Growth Drivers, Global, 2023–2030
  • Generative AI for CX: Growth Restraints, Global, 2023–2030

Have questions about this research or need deeper insights?
Speak directly with our analytics experts for tailored recommendations.
Purchase includes:
  • Report download
  • Growth Dialog™ with our experts

Growth Dialog™

A tailored session with you where we identify the:
  • Strategic Imperatives
  • Growth Opportunities
  • Best Practices
  • Companies to Action

Impacting your company's future growth potential.

Generative AI (GenAI) has garnered huge interest and holds great promise for optimizing business operations by automating routine tasks, streamlining workflows, and providing intelligent insights that improve efficiency, quality, and performance. Ongoing innovation in artificial intelligence (AI) has introduced GenAI with far-reaching implications across all businesses and industries. GenAI relies on machine learning foundational models to generate new data, including text, images, audio, video, and even programming code. By learning patterns from existing datasets, these models have showcased remarkable natural language understanding (NLU) capability, adding a humanization element to AI. Specific to customer experience (CX) and contact centers, the impact of GenAI is growing quickly. Its transformative nature can be expressed as next-generation AI for the contact center, building upon first-generation AI applications, including intelligent virtual agents, personalization, and advanced analytics. The incremental value derived from GenAI for CX and contact centers is substantial. GenAI is a relatively new technology and is evolving rapidly. The contact center ecosystem is actively injecting it into technology stacks, with a relative GenAI arms race well underway. As GenAI begins to take hold in the CX industry, this Frost & Sullivan study dives deep into its contact center applications and the growth opportunities the technology enables today. Author: Bernardin Arnason
More Information
Deliverable Type Market Research
Author Bernardin Arnason
Industries Information Technology
No Index No
Is Prebook No
Keyword 1 Contact Center Trends
Keyword 2 Global Generative Ai Analysis
Keyword 3 Ai Trends In Contact Centers
List of Charts and Figures Generative AI for CX: Growth Drivers, Global, 2023–2030~ Generative AI for CX: Growth Restraints, Global, 2023–2030~
Podcast No
WIP Number K93F-01-00-00-00

Ready, Set, Go! The Race is on to Capitalize on Generative AI in the Contact Center

Information TechnologyReady, Set, Go! The Race is on to Capitalize on Generative AI in the Contact Center

Generative AI s Impact on CX Includes Increased Competitive Intensity and Transformational Growth

RELEASE DATE
08-Nov-2023
REGION
Global
Deliverable Type
Market Research
Research Code: K93F-01-00-00-00
SKU: IT_2023_306
AvailableYesPDF Download
$2,450.00
In stock
SKU
IT_2023_306