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Securing, Observing, and Governing MCP Servers with Kong AI Gateway

Apr 24, 2025 By Greg Peranich In Kong

The explosion of AI-native applications is upon us. With each new week, massive innovations are being made in how AI-centric applications are being built. There are a variety of tools developers need to consider, be it supplying live contextual data via the Model Context Protocol (MCP) or leveraging the new Agent2Agent Protocol (A2A) to standardize how their agentic applications will communicate. The modern AI application can include communication between many different entities, including.

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Choosing The Right LLM: Why Flexibility Is Key

Apr 24, 2025 By Snowflake Inc. In Snowflake

In this Cortex AI roundtable, Snowflake's Arun Agarwal, Yusuf Ozuysal, and James Cha-Earley highlight why AI model flexibility is crucial for real-world applications. Recognizing that no single large language model excels at everything — coding, reasoning, extraction, or conversation — Snowflake Cortex AI brings the strengths of different LLMs together by integrating leading LLMs like OpenAI, Mistral, Anthropic, and Meta into one secure platform.

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Agentic AI vs Generative AI: Understanding the Key Differences

Apr 23, 2025 By Mariam Anwar In Astera

You’ve probably interacted with AI more times than you can count—whether it’s getting a movie recommendation, using an AI-powered chatbot, or watching AI-generated content. But have you ever stopped to think about how these AI systems actually work? Not all AI is built the same way, and two key paradigms are emerging as game-changers: Agentic AI and Generative AI.

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What is a Multi Agent System? Types, Application and Benefits

Apr 23, 2025 By Mariam Anwar In Astera

AI has evolved from simple rule-based systems to models capable of understanding language, generating images, and even assisting in complex decision-making. Yet, most AI systems still operate as a single, standalone entity. But what if AI could work like a team, where each agent brings its own strengths to the table? Multi-agent systems (MAS) make this possible by enabling real-time interaction and coordination among intelligent agents.

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EP 20 | The Path to Safe AI - Education with Peter Norvig

Apr 23, 2025 By Cloudera, Inc. In Cloudera

In this episode of The AI Forecast, host Paul Muller speaks with Peter Norvig, an education fellow at Stanford and the co-author of Artificial Intelligence: A Modern Approach, the leading textbook for AI education. Peter explores the critical role of accessible, up-to-date AI education in building skilled practitioners, guiding policy, and fostering public understanding. Listen in as they explore concepts like "AI literacy" and unpack why continuous learning is essential to keep pace with technological change—and how it can help us build a more informed, ethical, and responsible AI future.

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10 Agentic AI Examples (Use Cases) for Enterprises & How To Build Them

Apr 23, 2025 By Raza Ahmed Khan In Astera

AI is no longer just a tool. It is now handling complex tasks with minimal human intervention and oversight. This transformative shift has given rise to agentic AI, where AI-powered systems make decisions, adapt to new information, and automate workflows across departments. From answering customer inquiries to managing financial data, these AI-driven agents are reshaping how businesses operate.

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Astera AI Agent Builder - Enabling Businesses to Build Powerful AI Agents

Apr 22, 2025 By Ibrahim Surani In Astera

We are introducing a new approach for building, deploying, and managing AI applications. This approach features a visual, drag-and-drop model for building AI apps and supports deep integration with enterprise data and application infrastructure.

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GenAI's BFF? Real-Time Data

Apr 22, 2025 By Confluent In Confluent

In the age of GenAI real-time data isn’t optional—it’s essential. Discover how data streaming is powering success with easy access to this data.

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What are Agentic Workflows?

Apr 21, 2025 By Khurram Haider In Astera

Organizations are moving beyond simple automation towards a future where systems are intelligent enough to tackle complex tasks with minimal human intervention. Agentic workflows are the driving force behind this shift. According to Gartner, a staggering 33% of enterprise software applications are projected to integrate agentic AI by 2028, enabling them to autonomously make decisions for as much as 15% of routine work.

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Agencies Win With Data Streaming: Evolving Data Integration to Enable AI

Apr 21, 2025 By Confluent Staff In Confluent

With data streaming, public sector organizations can better leverage real-time data and modernize applications. Ultimately, that means improving the reliability of services that agencies and citizens depend on, enhancing operational efficiency (therefore cutting costs), and delivering critical insights the moment they’re needed.

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