Systems | Development | Analytics | API | Testing

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.

Building Customer-Facing Gen AI Applications Effectively & Responsibly - MLOps Live #31 with MongoDB

In this session, we explored the unique challenges of implementing gen AI in production environments, when agents are in direct contact with your customers. We shared the Iguazio & MongoDB one-stop-shop solution for building gen AI applications that scale effectively and efficiently, with built-in guardrails and monitoring. We'll show how the end-to-end application lifecycle is addressed – From data management all the way to governance and monitoring in production.

Flink AI: Real-Time ML and GenAI Enrichment of Streaming Data with Flink SQL on Confluent Cloud

Modern data platforms enable enterprises to extract valuable business insights from data, sourced from various origins. Data engineers, data scientists, and other data practitioners utilize both data streaming and batch processing frameworks as a means to provide these insights. While batch processes work on historical data, stream processing extracts insights in real time, enabling businesses to react faster with respect to changing events.

Benefits and Applications of Open Source AI

The open-source philosophy and principles have always been about the democratization of knowledge—giving everyone the opportunity to access, learn, modify, and share software freely. As we see AI technologies seemingly taking over our day-to-day lives, we need those benefits in AI as well. Open-source AI inherits the open-source principles. It fosters transparency and collaboration, allowing us to build robust and secure AI systems.

Why Your Organization Needs an AI Strategy for Business Process Automation

In the contemporary business landscape, the integration of artificial intelligence (AI) into business processes is no longer a futuristic concept—it's a present-day reality. Organizations across various industries are leveraging AI to streamline operations, enhance decision-making, and drive innovation.

Data Actionability: Empower Your Team with Unravel's New AI Agents

65% of data and analytics leaders reported that data observability would be a core element of their data strategy within two years (Gartner). Why? Rising demand for GenAI increases the pressure on data teams to deploy reliable pipelines that provide diverse and reliable data. With this in mind, Unravel is hosting a live event to introduce new AI agents for FinOps, DataOps, and Data Engineering. Learn how these new AI agents enable teams to go beyond just observing problems to take immediate action with purpose-built AI and automation.

5 AI Product Metrics to Track: A Guide to Measuring Success

Not long ago, the thought of Artificial intelligence (AI) products becoming mainstream seemed far off. Fast forward to the widespread adoption of ChatGPT, Gemini, and other large-scale apps, and it’s easy to see that the world has changed drastically. AI isn’t just the future anymore – it’s the present, and every business is hopping on the bandwagon. From chatbots streamlining customer service to algorithms predicting market trends, AI is reshaping how businesses operate.

The Challenges of AI API Monetization

Building and consuming Application Programming Interfaces (APIs) has become an essential skill for developers. APIs are the glue that enables seamless integration and interaction between different software systems, including those that leverage AI. As the demand for artificial intelligence (AI) grows, the monetization of AI APIs has emerged as a critical concern for businesses looking to capitalize on their technological investments. Almost all AI functionality that companies build is exposed as an API.