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Artwork for The Memriq AI Inference Brief – Leadership Edition

The Memriq AI Inference Brief – Leadership Edition

Keith Bourne
Generative AI
Retrieval Augmented Generation
Retrieval-Augmented Generation
Langchain
Semantic Caches
AI Systems
AI Agents
Chromadb
Knowledge Graphs
AI Inference
Customer Support
Graph-Based RAG
RAG
Protégé
Vector Databases
Neo4j
AI Application Development
Model Context Protocol
Healthcare
Recursive Language Models

The Memriq AI Inference Brief – Leadership Edition is a weekly panel-style talk show that helps tech leaders, founders, and business decision-makers make sense of AI. Each episode breaks down real-world use cases for generative AI, RAG, and intelligent agents—without the jargon. Hosted by a rotating panel of AI practitioners, we cover strategy, roadmapping, risk, and ROI so you can lead AI initiat... more

PublishesDailyEpisodes30Founded7 months ago
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Artwork for The Memriq AI Inference Brief – Leadership Edition

Latest Episodes

In this episode, we dive deep into the Claude Certified Architect Exam (CCA-F), a critical certification for professionals looking to demonstrate their capability to implement AI solutions in production settings. Discover what sets this exam apart fr... more

Discover how AI agents are transforming continuous improvement principles into a new operating model for enterprises. In this episode, we explore how the timeless Kaizen philosophy is being turbocharged by AI to create living, learning organizations ... more

Anthropic’s Claude Opus 4.6 is redefining how AI agents think, remember, and collaborate. This episode explores its groundbreaking "effort" parameter, massive one million token context window, and multi-agent design principles that enable autonomous,... more

Explore Moltbook, an AI social network where autonomous agents debate, evolve ideas, and self-organize without human input. This episode unpacks the emergent social dynamics of agentic AI systems, the technical architecture behind Moltbook, and the i... more

How does AI make smart decisions when it doesn’t have all the facts? In this episode of Memriq Inference Digest - Leadership Edition, we break down belief states—the AI’s way of representing what it knows and, critically, what it doesn’t. Learn why t... more

Discover how AI-powered agents are transforming UI testing from a costly burden into a strategic advantage for engineering leaders. In this episode, we explore the impact of Playwright’s new agent pipeline, the realities of different UI stacks like R... more

Unlock the potential of Recursive Language Models (RLMs), a groundbreaking evolution in AI that empowers autonomous, strategic problem-solving beyond traditional language models. In this episode, we explore how RLMs enable AI to think recursively—bre... more

# Evaluating Agentic AI: DeepEval, RAGAS & TruLens Frameworks Compared

In this episode of Memriq Inference Digest - Leadership Edition, we unpack the critical frameworks for evaluating large language models embedded in agentic AI systems. Leaders na... more

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Recent Guests

Keith Bourne
Author of 'Unlocking Data with Generative AI and RAG'
AI Practitioner
Episode: Advanced RAG & Memory Integration (Chapter 19)

Hosts

Morgan
Host of multiple Memriq AI Inference Digest editions; regular facilitator of leadership-focused AI discussions.
Casey
Co-host of Memriq Inference Digest and related leadership editions; active in panel discussions on AI strategy and governance.

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Talking Points

Recent interactions between the hosts and their guests.

Kaizen at Digital Speed: Agentification of the Modern Enterprise
Q: Keith Bourne, our guest host, what are your thoughts on this blueprint?
Keith highlights that this is a broad, disciplined operating model, not just a collection of tools; success hinges on a reusable core agent framework, centralized governance, and a culture that embraces continuous improvement through AI agents.
Opus 4.6 Deep Dive: Memory, Reasoning & Multi-Agent AI Design Playbook
Q: How does Opus 4.6 improve AI agent performance?
By enabling long context ingestion and deep multi-step reasoning, Opus 4.6 allows for more autonomous and accurate workflows compared to previous versions.
Opus 4.6 Deep Dive: Memory, Reasoning & Multi-Agent AI Design Playbook
Q: What are the key features of Opus 4.6?
Opus 4.6 supports a massive 1 million token context window, uses an effort parameter for reasoning control, and allows seamless integration of various tools while emphasizing multi-agent collaboration.
Belief States Uncovered: Navigating AI’s Knowledge & Uncertainty
Q: What should businesses consider when adopting belief states for their AI systems?
Businesses should aim for actionable beliefs that improve decision-making and respond appropriately to uncertainty.
Vectors & Vector Stores: Deep Dive into RAG’s Secret Sauce (Chapter 7)
Q: Keith, as the author, what made you prioritize vectors and vector stores in Chapter 7?
Without vectors, the whole retrieval piece of RAG collapses. Embeddings let AI understand context at scale, and vector stores make that usable in production.

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Frequently Asked Questions About This Podcast

What is This Podcast about and what kind of topics does it cover?

This show centers enterprise-grade AI strategy and governance, with a focus on practical, real-world applications of generative AI, retrieval-augmented generation, and autonomous agents. Episodes frequently feature leaders and practitioners sharing blueprints for moving from pilots to organization-wide implementations, addressing roadmaps, risk, ROI, and cross-functional alignment. A hallmark is the emphasis on disciplined frameworks, governance, and measurable outcomes, often illustrated through case-style discussions, technology deep-dives, and leadership-level takeaways. Noteworthy is the recurring exploration of agentic AI, memory systems, and scalable architectures, which helps listeners understand how to operationalize advanced AI for... more

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