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Harnessing Generative AI for Flood Insurance Risk Evaluation and Mitigation

Floods are the most common natural disaster worldwide. A flood is demarcated as an overflow of water that submerges land that is usually dry. Flash flooding befalls when heavy rainfall over a short period hits areas with inadequate drainage. Other causes of flood events comprise high tides, storm surges, river overflow, and snow melt. Each year, floods extinguish assets worth billions of dollars. In the last five years alone, monetary losses caused by floods worldwide were estimated at 299 billion U.S.

What are LLMs? An intro into AI, models, tokens, parameters, weights, quantization and more

To keep up with everything happening in the world of artificial intelligence, it helps to understand and grasp key terms and concepts behind the technology. In this introduction, we are going to dive into what is generative AI, looking at the technology and models they are built on. We'll discuss how these models are built, trained, and deployed into the world.

Key Takeaways From Speaking With 40+ Employee Benefits Experts

The buzz around digital transformation and the shift toward an API-first approach is prevalent in today’s Employee Benefits industry. However, after engaging in over 30 detailed conversations with industry professionals over the last three months, it has become clear that the reality on the ground diverges significantly from the prevailing discourse. Throughout 2023, I observed a notable increase in the number of companies within the Benefits space using our integration platform.

Balancing Speed, Quality, and Maintainability in Test Suite Management

A test suite is a collection of test cases, test scripts, and test data that are used to validate a specific aspect of a software application or system. It serves as a critical component of the software testing process, ensuring that the application meets the required quality, functionality, and performance standards. A well-structured test suite plays a vital role in identifying defects, bugs, and inconsistencies, enabling developers to make necessary improvements and enhancements.

Kong Mesh 2.7: Leveling Up Usability and Security

Kong Mesh 2.7 is here! And with it come a slew of new features to make our simple and powerful enterprise service mesh even easier to use and more powerful for your particular needs. In this blog post, we'll cover the new features and show how Kong Mesh 2.7 can deliver a superior service mesh experience for your organization.

Integrating LLMs with Traditional ML: How, Why & Use Cases

Ever since the release of ChatGPT in November 2022, organizations have been trying to find new and innovative ways to leverage gen AI to drive organizational growth. LLM capabilities like contextual understanding and response to natural language prompts enable the development of applications like automated AI chatbots, smart call center apps, or for financial services.

Modernizing Higher Education Curriculum Planning with Astera's Data Solutions and Governance

A 2021 Educase report shows that 75% of surveyed institutions have started or are planning extensive digital transformation strategies to improve their data utilization. The importance of a strategic approach to data utilization in this context cannot be overstated. Effective data management frameworks ensure that data across the institution is accurate, consistent, and used in alignment with internal policies and external regulations.

Should You Use Ruby on Rails or Hanami?

Ruby on Rails is the most popular web framework in the Ruby ecosystem and has a large user base, ranging from freelancers to large established companies. With an active user community and wide-ranging documentation, it can be used to build everything from simple applications to complex web platforms. That said, a new contestant is taking on Rails’ dominance for the full-stack Ruby framework title: Hanami.