In this episode, Dave interviews Burley Kawasaki, global VP of product marketing and strategy at no-code CRM platform Creatio.

They discuss: 

• The cautious adoption of AI in the workplace due to trust issues
• The need for transparency and visibility into AI decision-making processes
• How to balance innovation with security and compliance

In this episode, Jenna interviews Anant Bhardwaj, CEO and founder of Instabase, about what factors to consider before purchasing an AI tool.

They discuss:

• Why it's important to start with the problem you have and work backwards
• Making sure agentic AI fits in with the rest of the existing systems
• Planning for long-term use

In this episode originally published on Get With IT, Dave interviews Idit Levine, founder and CEO of solo.io, about kagent, a framework for running agents in Kubernetes. 

They discuss:

• Why kagent was created
• What led solo.io to open source the project and donate it to the CNCF
• Difficulties with deploying AI agents in large organizations

In this episode, Dave interviews Jenn Wei, senior vice president of product at LaunchDarkly.

They discuss:

• The importance of creating a culture for AI experimentation
• Needing to shift from building features to managing dynamic learning systems
• The role of leadership in driving innovation

In this episode, Dave interviews Brian Douglas, head of developer experience at Continue, about the importance of rules for AI tools.

They discuss: 

• How to implement rules for AI assistants
• Using rules to replace lengthy prompts
• Preventing technical debt when using AI-generated code

In this episode, Jenna interviews Wade Wegner, chief ecosystem and growth officer at DigitalOcean, about the importance of developer advocacy.

They discuss:

• The relationship among developer advocacy, developer relations, and technology evangelism
• Effective strategies for engaging with developers
• Metrics to track to know that advocacy is contributing to product growth

In this episode, Jenna interviews Dr. Manny Ahmed, co-founder and CEO of OpenOrigins, the company behind Human-Oriented Proof System (HOPrS), which can be used to determine if an image or video has been altered or is AI-generated.

They discuss:

• How it works and how it differs from other tools that try to do this
• How it can be used to address concerns around AI-generated content
• Its recent acceptance into the Linux Foundation Decentralized Trust Lab

In this episode, Dave interviews Justin Cantrall, AI engineer and architect at OpenText, about specialized language models.

They discuss:

• The difference between specialized language models and large language models
• The benefits and disadvantages of choosing specialized language models
• Open weight models 

In this episode, Jenna interviews Maya Palfreyman, product marketing director at Quickbase, who leads the company's research on gray work.

They discuss:

• What gray work is and what sort of tasks qualify 
• How it affects software developers
• The impact of unaccounted gray work in planning cycles

In this episode, Dave interviews Jack Pertschuk, principal engineer for Algorithms and Platform at Pinecone. They discuss:

• What semantic search is and where it falls short
• The difference between sparse and dense vectors
• How search technology powers AI