Direkt zum Inhalt

Geben Sie die Details ein, um das Webinar freizuschalten

Durch Klick auf die Schaltfläche akzeptierst du unsere Nutzungsbedingungen, unsere Datenschutzrichtlinie und die Speicherung deiner Daten in den USA.

Lautsprecher

Weitere Informationen

Trainierst du 2 oder mehr?

Erhalten Sie für Ihr Team Zugriff auf die vollständige DataCamp-Bibliothek mit zentralisierten Berichten, Zuweisungen, Projekten und mehr
Testen Sie DataCamp For BusinessFür eine maßgeschneiderte Lösung buchen Sie eine Demo.

The Payoff: Turning 2024 Data & AI Investments ROI Positive in 2025

November 2024
Webinar Preview
Teilen

Summary

The discussion investigates the current state of AI investments, with an emphasis on how organizations can achieve ROI from their generative AI initiatives by 2025. The speakers highlight the existing challenges and opportunities in utilizing AI, noting that a significant percentage of AI projects are still in experimental stages with only a few yielding tangible economic benefits. They discuss the varied implications of generative AI across different industries, emphasizing its transformative potential in areas such as content creation and customer operations. The panelists also explore methods for evaluating AI use cases, stressing the importance of prioritization and ethical considerations. The conversation touches on the future of AI, predicting advancements in AI capabilities and their potential impact on industry changes. As Tom Davenport notes, "The challenge is understanding how AI fits into the business model and making sure it's not just a technology in search of a problem."

Key Takeaways:

  • Generative AI is still in its early stages, with a focus on experimentation rather than widespread production deployment.
  • Ordering AI projects based on impact, risk, and data availability is vital for success.
  • AI's potential lies in transforming industries by unlocking new efficiencies and enabling rapid content creation and testing.
  • Ethical concerns and explainability are key to implementing AI responsibly.
  • Future advancements in AI could lead to more sophisticated, efficient, and widely adopted applications.

Deep Dives

Current State of AI Deployment

The conversation begins with an analysis of the current state of AI deployment, as detailed by Tom Davenport. H ...
Mehr Lesen

e notes that "only 5% or 6% of large organizations have any production deployment of generative AI," with the majority still in experimental phases. This experimentation, while valuable for learning, has yet to translate into significant economic returns. The panelists agree that AI has not yet reached its full potential, with Davenport suggesting that the industry is in the "early stages" of realizing ROI from AI investments. This sentiment is echoed by Daniel Houm, who emphasizes the need for organizations to move beyond experimentation to achieve meaningful outcomes.

Industry-Specific Applications

The panelists explore the application of generative AI across various industries, highlighting its transformative potential in sectors like content creation and customer operations. Daniel Houm shares insights from WPP, where AI is used to create content and test audience reactions rapidly, thus enhancing marketing efficiency. Houm describes generative AI as unlocking two critical parts of the marketing supply chain: content creation and testing. However, he also notes the challenge of measuring the quality and value of AI-generated content, a sentiment shared by other panelists who stress the importance of finding the right algorithms to optimize different supply chain aspects. Michelle Bonnet adds that in financial services, AI helps improve internal processes, enhancing efficiency and reducing time to resolution for customer queries.

Frameworks for Evaluating AI Use Cases

A significant portion of the discussion is dedicated to methods for evaluating AI use cases, highlighting the importance of prioritization. Michelle Bonnet suggests a structured approach, recommending that organizations assess potential projects based on impact, risk, and data availability. She advises focusing on high-impact projects, considering risk factors, and ensuring data readiness. This approach, she argues, helps organizations make informed decisions about where to allocate resources and how to maximize the ROI of AI initiatives. The panelists agree that ethical considerations should also be integrated into this method, with Daniel Houm emphasizing the need for explainable AI that is auditable and transparent.

Future of AI and Industry Impact

Looking ahead, the panelists discuss the future trajectory of AI technologies and their potential impact on various industries. Daniel Houm envisions a rapid evolution in AI capabilities, predicting that within 18 months, AI could achieve a level of reasoning akin to a PhD, eventually leading to Artificial General Intelligence (AGI). He cautions, however, that the speed of industry adoption might lag behind technological advancements. Michelle Bonnet highlights the potential for smaller, more efficient AI models and innovations in active inference to drive ROI. The panelists agree that staying informed and strategically using emerging technologies will be vital for organizations seeking to maintain a competitive edge in an AI-driven environment.


Verwandt

webinar

Artificial Intelligence in 2025: Will the Rocket Continue Climbing or Will the Bubble Burst?

Three industry experts discuss the state of AI hype, whether this wave of innovation is going to plateau, what to expect from GenAI in 2025, and a lot more.

webinar

Data Science and Business Intelligence in 2025: How will AI Transform the Data Team?

Three guests explore the impact of LLMs and GenAI on analytics and data functions in 2025, how they will lower the barrier to entry for working with data, the skills data teams need to develop, and a lot more.

webinar

Generative AI: Trends, Impact, and Practical Applications for 2024

Deep dive into significant trends and developments within Generative AI as we near the middle of 2024.

webinar

Getting ROI from AI

In this webinar, Cal shares lessons learned from real-world examples about how to safely implement AI in your organization.

webinar

Charting the Path: What the Future Holds for Generative AI

Explore how generative AI tools & technologies will evolve in the months and years to come and navigate through emerging trends, potential breakthrough applications, and the strategic implications for business.

webinar

Demystifying AI: Unpacking the Generative AI Landscape

Join experts from leading venture capital firms to discover the latest business and data science use cases of generative AI.

Join 5000+ companies and 80% of the Fortune 1000 who use DataCamp to upskill their teams.

Request DemoTry DataCamp for Business

Loved by thousands of companies

Google logo
Ebay logo
PayPal logo
Uber logo
T-Mobile logo