Unmatched Flexibility Fuels Market Adoption for Testlio's Managed Test Automation Solution
25 industry leaders confidently scale their software testing with a comprehensive, AI-powered approach to quality engineering.
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AI
Blockchain, Deepfakes, and AI, Oh My!
Imagine a world where every piece of digital content can be verified and traced back to its source. Lindsay Walker, Product Lead at Starling Lab for Data Integrity, walks us through the emerging tools that could make this possible. While AI tools hold incredible potential for good, Lindsay also warns against threats and countermeasures needed to keep our virtual representations safe. She emphasizes the need to build provenance into tools, discusses blockchain use cases, and shares systems that implement hashes for security.
The AI API Gold Rush: How to Turn Your Models into Revenue With Moesif
So, you’ve built a cutting-edge AI model! Congratulations! With the vast array of AI capabilities coming to market, it may generate realistic product descriptions, analyze customer sentiment, or perform cutting-edge processing. Innovation with AI is helping companies to discover new capabilities and use cases. However, innovation alone isn’t enough. To truly reap the rewards of an investment in AI, companies need a strategy to monetize it.
Katalon recognized in the 2024 Gartner Market Guide for AI-Augmented Software Testing Tools
ATLANTA, April 2024 - Katalon is a leading provider of the most modern, comprehensive software quality management platform. The company announced that it was named as a Representative Vendor in the 2024 Gartner® Market Guide for AI-Augmented Software Testing Tools for the second year in a row.
Building reliable systems out of unreliable agents
If you’ve tried building real-world features with AI, chances are that you’ve experienced reliability issues. It’s common knowledge that AI makes for great demos, but… questionable products. After getting uncannily correct answers at first, you get burned on reliability with some wild output and decide you can’t make anything useful out of that. Well, I’m here to tell you that there’s hope.
Accelerate GenAI apps with Fivetran Google Cloud BQ and Vertex AI
Fivetran and Google Cloud synergize incredibly well, bringing generative AI to your fingertips.
Data Bytes & Insights: Data Engineering Essentials for Effective AI
Join Chandramani Tiwary, co-founder of GTM Buddy, and Ushnanshu Pant, Solutions Engineer at Hevo Data as they explore how to build a robust data engineering foundation for effective AI applications within organizations.
Leverage Google Gemini on ThoughtSpot AI-Powered Analytics
Over the past couple of years, ThoughtSpot and Google have collaborated on a series of seamless user experiences—enabling deployments on Google Cloud Platform, creating the ability to live query entire Google BigQuery analytics catalogs, and integrating key Looker Modeling functionality just to name a few. This type of co-innovation helps mutual customers get the most value out of their data.
Generative AI in Call Centers: How to Transform and Scale Superior Customer Experience
Customer care organizations are facing the disruptions of an AI-enabled future, and gen AI is already impacting customer care organizations across use cases like agent co-pilots, summarizing calls and deriving insights, creating chatbots and more. In this blog post, we dive deep into these use cases and their business and operational impact. Then we show a demo of a call center app based on gen AI that you can follow along.
Storage for AI with Ozone
Ozone enables ingest, processing, exploration, efficient iterative training, and fine-tuning of LLMs that rely on huge structured and unstructured datasets. This demo illustrates that. We have deployed a CML AMP chatbot that uses an LLM, augmented with an existing knowledge base. The knowledge base is stored in Ozone and retrieved over S3.