ibl.ai Agentic AI Blog

Insights on building and deploying agentic AI systems. Our blog covers AI agent architectures, LLM infrastructure, MCP servers, enterprise deployment strategies, and real-world implementation guides. Whether you are a developer building AI agents, a CTO evaluating agentic platforms, or a technical leader driving AI adoption, you will find practical guidance here.

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Featured Research and Reports

We analyze key research from leading institutions and labs including Google DeepMind, Anthropic, OpenAI, Meta AI, McKinsey, and the World Economic Forum. Our content includes detailed analysis of reports on AI agents, foundation models, and enterprise AI strategy.

For Technical Leaders

CTOs, engineering leads, and AI architects turn to our blog for guidance on agent orchestration, model evaluation, infrastructure planning, and building production-ready AI systems. We provide frameworks for responsible AI deployment that balance capability with safety and reliability.

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Industry

AI applications across education, healthcare, finance, government, and other verticals.

873 articles in this category

Google's LearnLM

Google: LearnLM – Improving Gemini for Learning

LearnLM is a Google AI model designed for educational settings that follows detailed pedagogical instructions to improve teaching effectiveness. Human evaluations show it outperforms existing models in various learning scenarios, and future work will explore additional educational applications.

Jeremy Weaver1 min read
Investments in AI Infrastructure

University of Michigan: Artificial Intelligence Research Committee Recommendations Report

The report recommends significant investments in computing, personnel, and ethical oversight to boost U-M's AI capabilities, advocating for better internal coordination, a centralized AI resource hub, and enhanced national and industry collaborations.

Jeremy Weaver1 min read
Impact of ChatGPT on Academic Performance

Hangzhou Normal University: Does ChatGPT Enhance Student Learning? A Systematic Review and Meta-Analysis of Experimental Studies

This review of 69 experimental studies found that ChatGPT interventions improved students' academic performance, affective motivation, and higher-order thinking while reducing mental effort, though it had no significant effect on self-efficacy and many studies had methodological limitations.

Jeremy Weaver1 min read
AI and Privacy Intersection

George Washington University Law School: Artificial Intelligence and Privacy

Daniel J. Solove’s piece argues that current privacy laws—focused mainly on individual control—are inadequate for addressing the systemic harms posed by AI, and calls for a regulatory framework based on harm analysis and structural reforms.

Jeremy Weaver1 min read
Data Privacy Concerns

U.S. House of Representatives: Bipartisan House Task Force Report on Artificial Intelligence

A bipartisan House task force report assesses the impact of AI on privacy, national security, society, and the economy, while offering recommendations for responsible development and regulation.

Jeremy Weaver1 min read
GUI interaction via API

Anthropic: The Dawn of GUI Agent – A Preliminary Case Study with Claude 3.5 Computer Use

This study evaluates Claude 3.5 Computer Use—a novel AI model that interacts with GUIs via API—to understand its capabilities and limitations in executing tasks across various software, guiding future improvements in GUI automation.

Jeremy Weaver1 min read
AI-Driven Scientific Discovery

Google DeepMind: A New Golden Age of Discovery

AI is transforming scientific research by accelerating key areas like knowledge synthesis and experimental simulation, while also requiring careful strategies, investments, and policies to manage risks and ensure sustainable, equitable innovation.

Jeremy Weaver1 min read
Knowledge synthesis and data annotation

Google DeepMind: New Golden Age of Discovery

AI is transforming scientific research by accelerating key areas like knowledge synthesis, data management, simulation, and complex modeling, while urging strategic investments and interdisciplinary collaboration to harness its benefits and address potential risks.

Jeremy Weaver1 min read
Impact on Workforce Productivity

National Academies: Artificial Intelligence and the Future of Work

The report examines how AI, particularly large language models, could boost productivity and reshape job markets by creating new roles and displacing existing ones, while emphasizing the need for investments in skills, infrastructure, ethical oversight, improved data collection, and lifelong learning.

Jeremy Weaver1 min read

About Industry

AI is transforming every industry—from education and healthcare to finance and government. Explore how organizations across verticals are deploying AI agents, LLM-powered workflows, and intelligent automation to solve sector-specific challenges and deliver measurable outcomes.