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EP 524: Agentic AI Done Right - How to avoid missing out or messing up.

#AI Tools
2025-08-11 12:209 min read

Content Introduction

In this episode of the Everyday AI show, host Jordan Wilson introduces an engaging discussion about the transformative power of Agentic AI in business. Joined by Dr. Miriam Ashi, senior director at Watson X, they explore the latest advancements in AI technology, the impact of AI on productivity, and how enterprises can effectively leverage AI agents. The conversation highlights the importance of understanding AI's limitations, risks, and the necessity for proper monitoring and transparency in AI deployment. By addressing specific challenges faced by businesses in adopting these technologies, the episode offers insights on integrating AI solutions responsibly and effectively into workflows. With practical advice for business leaders on navigating the AI landscape, the show emphasizes the need to focus on problem-solving while embracing the potential of AI to enhance productivity and efficiency.

Key Information

  • The Everyday AI show simplifies AI and provides practical advice for boosting career, business, and everyday life.
  • AI agents are gaining popularity among business leaders, with a focus on leveraging Agentic AI for productivity.
  • The current trend emphasizes responsible AI implementation, optimization of operations, and ensuring security and transparency.
  • Enterprise customers are encouraged to experiment with AI by connecting their data and building agents tailored to their needs.
  • IBM's recent announcements highlight new agentic AI capabilities that enhance scalability and accessibility for businesses.
  • Companies should prioritize understanding the risks associated with AI applications and have human oversight to ensure successful implementation.

Timeline Analysis

Content Keywords

Everyday AI show

A podcast that simplifies AI and brings its power to everyday life, offering practical advice to enhance careers and businesses.

Agentic AI

Focuses on the importance of properly implementing Agentic AI to boost productivity and addresses the ongoing interest among business leaders in its potential.

IBM Think Conference

A conference where new AI technologies and features are showcased, emphasizing partnerships and advancements in AI applications.

AI Agents

Discusses the various functions and responsibilities of AI agents, including actions they can take and the importance of their design.

AI productivity

Highlights how AI tools can increase productivity, giving developers more time for complex tasks while reducing deployment time to seconds.

AI security and ethics

Explores the significance of understanding risks associated with AI implementation and ensuring responsible use and access control.

AI use cases

Presents different applications of AI in businesses, including customer care, code generation, and automating tasks to improve efficiency.

AI capabilities

Covers the evolving capabilities of AI and how enterprises can leverage them to solve specific problems effectively.

LLMs (Large Language Models)

Focuses on the use of LLMs in enhancing business operations through content generation, classification, and information extraction.

Empowerment through AI

Encourages business leaders to empower their teams by providing access to AI technology while being aware of the associated risks.

Related questions&answers

What is the Everyday AI show about?

The Everyday AI show is a podcast that simplifies AI and brings its power to your fingertips, offering practical advice to boost your career, business, and everyday life.

What is Agentic AI?

Agentic AI refers to AI agents that can take actions, access data, interpret code, and connect to external services. They are designed to enhance productivity but require careful management to avoid potential risks.

How can businesses leverage AI effectively?

Businesses should identify specific problems that AI can solve and focus on understanding the risks associated with implementing AI technologies. Engaging experts and ensuring transparency are crucial steps.

What challenges do enterprises face when implementing AI?

Enterprises face challenges such as ensuring observability and transparency of AI actions, optimizing performance and costs, and navigating regulatory requirements particularly in sensitive sectors like finance and insurance.

What is the role of developers in AI implementation?

Developers play a crucial role in building and deploying AI systems. They should be equipped with the right tools and processes to integrate AI effectively while focusing on solving business problems.

What are some common use cases for AI in businesses?

Common use cases for AI in businesses include content generation, customer care, question answering, information extraction, and summarization.

How has the perception of AI changed in recent years?

There has been a significant mindset shift among enterprise leaders, moving from skepticism to recognizing the operational benefits of AI, including efficiency gains and cost savings.

What advice is given to businesses looking to implement AI?

Businesses should focus on understanding their use cases, clearly define the problems they aim to solve with AI, and maintain open communication with their workforce about the changes AI will bring.

How can AI integration improve productivity?

AI integration can free up time for employees by automating low-value tasks, allowing them to focus on higher-value work, which can result in significant productivity gains across the organization.

What should businesses watch for regarding risks in AI?

Businesses should be mindful of potential risks such as data privacy concerns, ethical implications, and the overall transparency of AI operations to mitigate failures and ensure compliance.

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