×
Beyond the hype: How to unlock tangible business value from generative AI
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

The rise of generative AI: Generative AI (genAI) has emerged as a transformative technology, but enterprises are struggling to realize its full potential and achieve expected returns on investment.

  • The public release of OpenAI’s ChatGPT in November 2022 sparked unprecedented hype around genAI, comparable to the advent of the public internet.
  • According to Gartner, genAI has recently entered the “trough of disillusionment,” indicating that businesses are not seeing the anticipated value and ROI.

Challenges in implementation: Organizations face difficulties in identifying and prioritizing the most effective genAI use cases to drive rapid ROI and business value.

  • The sheer number of potential applications makes it challenging for decision-makers to determine the best starting point.
  • Unlike traditional technology adoption, AI deployment is often driven by C-suite executives rather than IT departments, leading to a lack of clear direction on appropriate use cases.

Strategic approach to genAI adoption: To maximize the potential of genAI, organizations need to develop a clear strategy aligned with business goals and stakeholder input.

  • IT departments should collaborate with C-suite executives and business units to identify use cases that advance specific business objectives.
  • A fail-fast approach is recommended, quickly abandoning unsuccessful proofs of concept (POCs) and scaling those that show early promise.

High-impact genAI applications: Three key areas where enterprises are already seeing significant value from genAI implementation:

  1. Enhancing cybersecurity: GenAI models can improve threat detection and response capabilities.
    • AI can accurately detect financial fraud and identify anomalous network activity.
    • GenAI can enrich and summarize security alerts, enabling IT admins to focus on addressing and preventing threats.
    • Automation of security policy creation is another valuable application.
  2. Boosting productivity: GenAI can accelerate content and code creation when used in conjunction with human expertise.
    • Code copilots and intelligent document processing tools can generate initial drafts, saving time for employees.
    • Domain-specific, fine-tuned models can enhance productivity across various business functions.
  3. Elevating customer experience: GenAI can significantly improve customer interactions and personalization.
    • Analysis of customer feedback using genAI can provide valuable insights.
    • Personalized chatbots can enhance customer engagement.
    • GenAI can enable tailored customer interactions based on individual preferences and history.
    • It’s crucial to extensively test and continuously train customer-facing genAI applications to ensure accuracy and quality.

Infrastructure considerations: Implementing genAI requires a robust and specialized infrastructure to support its computational demands.

  • While a do-it-yourself approach to genAI infrastructure may seem appealing, it can be expensive and complex, requiring specialized expertise.
  • Turnkey solutions like Nutanix’s GPT in a Box offer a full-stack, AI-ready infrastructure to help organizations quickly prove out use cases without the complexities of building from scratch.

Looking ahead: Balancing potential and practicality: As genAI continues to evolve, organizations must strike a balance between exploring its vast potential and focusing on practical, value-driven applications.

  • The key to successful genAI implementation lies in aligning technological capabilities with specific business needs and goals.
  • As more success stories emerge, we can expect to see a wider adoption of genAI across industries, potentially leading to new business models and transformative innovations.
  • However, organizations must remain vigilant about ethical considerations, data privacy, and the potential societal impacts of widespread genAI adoption.
Beyond the hype: Unlocking real enterprise value from genAI

Recent News

MIT research evaluates driver behavior to advance autonomous driving tech

Researchers find driver trust and behavior patterns are more critical to autonomous vehicle adoption than technical capabilities, with acceptance levels showing first uptick in years.

Inside Microsoft’s plan to ensure every business has an AI Agent

Microsoft's shift toward AI assistants marks its largest interface change since the introduction of Windows, as the company integrates automated helpers across its entire software ecosystem.

Chinese AI model LLaVA-o1 rivals OpenAI’s o1 in new study

New open-source AI model from China matches Silicon Valley's best at visual reasoning tasks while making its code freely available to researchers.