Insert Custom HTML fragment. Do not delete! This box/component contains code that is needed on this page. This message will not be visible when page is activated.
+++ DO NOT USE THIS FRAGMENT WITHOUT EXPLICIT APPROVAL FROM THE CREATIVE STUDIO DEVELOPMENT TEAM +++

This section is an infogram

This message and the space it occupies will not be displayed when viewing this page either in Live, Preview, or "View as published" modes

The implications of Generative AI for businesses

A new frontier in Artificial Intelligence

Download the full report
The implications of Generative AI for businesses

This section is an infogram

This message and the space it occupies will not be displayed when viewing this page either in Live, Preview, or "View as published" modes

${headline-1}

Although early traction has been through consumer releases, which could be era-defining, Generative AI also has the potential to add contextual awareness and human-like decision-making to enterprise workflows, and could radically change how we do business.

We may be only just beginning to see the impact of solutions like Google’s Contact Center AI (CCAI), which is designed to help enable natural language customer service interactions , and industry-specific solutions like BioNeMo from NVIDIA, which can accelerate pharmaceutical drug discovery.

As such, Generative AI has attracted interest from traditional (e.g., Venture Capital (VC), Mergers & Acquisitions (M&A)) and emerging (e.g., ecosystem partnerships) sources. In 2022 alone, venture capital firms invested more than $2B, and technology leaders made significant investments, such as Microsoft’s $10B stake in OpenAI and Google’s $300M stake in Anthropic.

${headline-2}

${description-2}

${img-alt}

This section is an infogram

This message and the space it occupies will not be displayed when viewing this page either in Live, Preview, or "View as published" modes

${headline-1}

The far-reaching impacts and potential value when deploying Generative AI are accelerating experimental, consumer, and, soon, enterprise use cases. And even though much media coverage has focused on consumer use cases, the opportunities are widespread—and some are already here. Still, questions remain about how individuals and enterprises could use Generative AI to deliver efficiency gains, product improvements, new experiences, or operational change. Similarly, we are only beginning to see how Generative AI could be commercialized and how to build sustainable business models.

Even so, Generative AI is in its infancy and not without risk. Some of the most important risks to address relate to privacy and security, managing bias, transparency and traceability of results, IP ownership, and equal access, especially for those at greater risk of job displacement. As such, participants should balance commercialization, regulation, ethics, co-creation, and even philosophy, as well as expand the group of stakeholder thinkers and contributors beyond technologists and enthusiasts.

${headline-2}

${description-2}

${img-alt}

This section is an infogram

This message and the space it occupies will not be displayed when viewing this page either in Live, Preview, or "View as published" modes

Topics covered in this report include:

  • Decoding the Generative AI magic trick
  • Consumer and enterprise use cases for Generative AI
  • Commerce and competition in Generative AI
  • Adopting and commercializing Generative AI

Insert Custom HTML fragment. Do not delete! This box/component contains code that is needed on this page. This message will not be visible when page is activated.
+++ DO NOT USE THIS FRAGMENT WITHOUT EXPLICIT APPROVAL FROM THE CREATIVE STUDIO DEVELOPMENT TEAM +++

${headline-1}

Although early traction has been through consumer releases, which could be era-defining, Generative AI also has the potential to add contextual awareness and human-like decision-making to enterprise workflows, and could radically change how we do business.

We may be only just beginning to see the impact of solutions like Google’s Contact Center AI (CCAI), which is designed to help enable natural language customer service interactions , and industry-specific solutions like BioNeMo from NVIDIA, which can accelerate pharmaceutical drug discovery.

As such, Generative AI has attracted interest from traditional (e.g., Venture Capital (VC), Mergers & Acquisitions (M&A)) and emerging (e.g., ecosystem partnerships) sources. In 2022 alone, venture capital firms invested more than $2B, and technology leaders made significant investments, such as Microsoft’s $10B stake in OpenAI and Google’s $300M stake in Anthropic.

${headline-2}

${description-2}

${img-alt}

Reach out for a conversation

Fullwidth SCC. Do not delete! This box/component contains JavaScript that is needed on this page. This message will not be visible when page is activated.

Insert Custom HTML fragment. Do not delete! This box/component contains code that is needed on this page. This message will not be visible when page is activated.
+++ DO NOT USE THIS FRAGMENT WITHOUT EXPLICIT APPROVAL FROM THE CREATIVE STUDIO DEVELOPMENT TEAM +++

Insert Custom HTML fragment. Do not delete! This box/component contains code that is needed on this page. This message will not be visible when page is activated.
+++ DO NOT USE THIS FRAGMENT WITHOUT EXPLICIT APPROVAL FROM THE CREATIVE STUDIO DEVELOPMENT TEAM +++