Kong AI Gateway Demo: Streamlining Multi-Provider LLM Usage, Security & Monitoring
Timestamps: This demo showcases the latest features and enhancements in Kong's AI Gateway, as of the June 2024 release.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
AI
Overcoming AI Adoption Challenges: A Fireside Chat with Marco Palladino
Timestamps: In this fireside chat, Marco Palladino, CTO & co-founder at Kong, takes questions from the audience.
Down the AI Rabbit Hole: Leveraging AI in Your Projects Without Ending Up Lost in Wonderland
Generative AI is transforming the world around us, and is quickly becoming a part of the conversation as we greenfield new features and applications. It is very alluring to deliver AI features into our existing products, and think about new projects we might build around AI. However, you might have already found that the journey into the realm of AI often feels like tumbling down the rabbit hole into wonderland - a maze of complexity and uncertainty.
Build your own generative AI chatbot directly from BigQuery
Learn to a knowledge base with an AI chatbot frontend to your BigQuery or unstructured Cloud Storage data using RAG and BigQuery ML.
AI for APIs: Unlock Growth and Efficiency
AI-powered tools can enhance API marketplace management by automating various tasks such as API discovery, onboarding, and governance. Advanced recommendation systems can match developers with relevant APIs based on their preferences and project requirements, facilitating faster adoption and increasing transaction volumes within the marketplace.
Your data strategy is the foundation for your AI strategy
Learn why successful AI initiatives require a well-executed data foundation to drive business value.
Exploring synthetic data generation with BigQuery DataFrames and LLMs
Learn how to use BigQuery DataFrames together with LLMs to generate synthetic data right inside of BigQuery.
Making an AI Investment: How Finance Institutions are Harnessing the Power of AI and Generative AI
Of all of the emerging tech of the last two decades, artificial intelligence (AI) is tipping the hype scale, causing organizations from all industries to rethink their digital transformation initiatives asking where it fits in. In Financial Services, the projected numbers are staggering. According to a recent McKinsey & Co.
Streamline Operations and Empower Business Teams to Unlock Unstructured Data with Document AI
It is estimated that between 80% and 90% of the world’s data is unstructured1, with text files and documents making up a significant portion. Every day, countless text-based documents, like contracts and insurance claims, are stored for safekeeping. Despite containing a wealth of insights, this vast trove of information often remains untapped, as the process of extracting relevant data from these documents is challenging, tedious and time-consuming.
What CXOs Should Learn from the Gartner Hype Cycle: AI, Clouds, Security and More
Making informed decisions on technology adoptions and ensuring the sustained growth and relevance of the organization in the market has never been more exciting than in the current times we live in. The Gartner hype cycle is a valuable tool in this pursuit with all its insights into the timing, adoption, and potential benefits of various technologies.