Dive into the world of digital transformations and discover how AI and big data are reshaping business success.
- The AI Think Tank Podcast returns, highlighting global AI trends.
- Harvard Business Review raises concerns about the peak of Generative AI.
- Explore the synergy between various AI types in modern applications.
- Learn about innovation-driven prompt engineering and knowledge graphs.
The AI Think Tank Podcast is back with its 12th episode, diving into global AI trends. Hosted by Dan Wilson and featuring an interview with Egle B. Thomas, PhD, MBA, the episode explores AI’s impact on both business and humanity and provides insightful commentary on the evolving landscape.
A recent article in the Harvard Business Review titled “Has Generative AI Peaked?” brings to light worries about the future of Generative AI (GenAI). This thought-provoking piece highlights the potential downfalls and challenges that come with GenAI advancements, urging businesses to tread carefully.
The fascination with Generative AI, especially through tools like OpenAI’s ChatGPT, has skyrocketed. However, Bill Schmarzo discusses the synergy between Generative, Analytical, Causal, and Autonomous AI, pointing out how these different AI types can work together for enhanced efficiency and effectiveness.
Innovation is at the forefront with the Nine Categories of Innovation-Driven Prompt Engineering. Bill Schmarzo delves into how companies can harness these categories to push the boundaries of AI capabilities, driving productivity and sparking creativity.
Knowledge graphs are becoming vital in large enterprises to tackle common dilemmas. Alan Morrison’s discussion on leveraging knowledge graphs for innovation underlines their importance in connecting disparate data points and improving decision-making processes.
The evolving landscape of AI and data strategies is reshaping business frameworks, driving innovation, and ensuring long-term success.
Source: Datasciencecentral
