Systems | Development | Analytics | API | Testing

Automation and Orchestration Technologies Are Converging: Here's 4 Reasons Why

Automation has unleashed unprecedented productivity and profits for organizations. By automating formerly manual tasks, businesses see efficiency gains, reduced human error, cost savings, and improved innovation. Automation frees employees for creative work and work that requires human intervention. To facilitate this, many organizations have stitched together a wide range of automation tools. This includes robotic process automation (RPA), generative AI, predictive AI, and business process management.

How Data Is Driving The AI Revolution: Excerpts From Season 5 Interviews

This episode of the "Data Cloud Podcast" features clips from all of the interviews from Season 5 of the podcast to date. Conversations featuring Snowflake CEO Sridhar Ramaswamy, ZoomInfo VP of Data & Analytics Philip Zelitchenko, WeightWatchers Chief Data Officer David Cohen, TalkingPoints President Claudine Ryan, Blue Yonder CEO Duncan Angove, and Spark NZ Head of Transformation Kallol Dutta. Our guests discuss how their organizations are leveraging AI and what we can expect in the near future.

AI-Assisted Integration Development with WSO2 Micro Integrator and Choreo

In this video, Asanka Abeyweera demonstrates how to develop a basic integration using WSO2 Micro Integrator (WSO2 MI) as the integration technology and Choreo as the internal developer platform. Utilizing the AI assistance available in the new WSO2 MI VS Code extension, Asanka Abeyweera, Software Architect at WSO2 walks through the process of building, deploying, and testing the integration, along with showcasing basic observability features.

Unlocking the Power of AI in insightsoftware's Logi Symphony

Unlock the power of AI with Logi Symphony! In this video, we introduce Logi AI, a cutting-edge addition to Logi Symphony that revolutionizes how you interact with your data. Learn how to create customizable AI chat flows, integrate real-time data, and leverage prompt templates to ensure accurate and relevant AI responses. Discover how these features enhance user engagement and provide deeper insights from your data.

Monetizing a Gen-AI-Based ChatBot API by Metering Token Usage

For many Gen AI-based applications, usage-based billing is crucial. It is especially important if you are using third-party models that charge you for tokens used. You want to ensure that your cost of tokens used is covered by your customers, in addition to charging for your own value add. In this tutorial, we will build a quick Chat Bot API using OpenAI’s ChatGPT, and then use Moesif and Stripe to meter the number of tokens used and report the usage to Stripe to be charged.

An Overview of Cloudera's AI Survey: The State of Enterprise AI and Modern Data Architecture

Enterprise IT leaders across industries are tasked with preparing their organizations for the technologies of the future – which is no simple task. With the use of AI exploding, Cloudera, in partnership with Researchscape, surveyed 600 IT leaders who work at companies with over 1,000 employees in the U.S., EMEA and APAC regions.

The Role of Security Testing for LLMs Implementations in Enterprises

Businesses are seeking ways to collect all the data from their digital sources and draw out patterns that can reinterpret human participation with automation. A vanguard in this attempt is the emergence of large language models (LLMs) powered by artificial intelligence (AI).

Accelerating Academic Medical Research with an AI-Driven Data Strategy

Academic medical centers (AMCs) are a critical keystone of healthcare systems worldwide. They serve as major hubs of medical research, pioneering new treatments that advance and set the standard of care throughout medicine. They also educate and train the next generation of healthcare professionals, ensuring that the medical field continues to advance. In the U.S. alone, there are more than 230 active AMCs, and a significant number are part of a health system.

Top 7 Must-Try AI API Tools for Developers

Upon close inspection of the growing adoption of artificial intelligence across different industries, it becomes apparent that a lot it rests on the shoulders of API-powered systems. A survey by McKinsey found that 56% of respondents reported AI adoption in at least one function within their organizations, with significant increase in the use of AI APIs for tasks like natural language processing and computer vision.