There is a growing recognition that insurers can introduce data, analytics and AI into virtually all of the important insurance functions and workflows, including product development, pricing and risk selection, underwriting, claims management, contact center optimization, distribution management, reinsurance, and understanding and shaping customer journeys. Here are some of the exciting ways insurance companies can put data to work.

Accelerate data movement into the Databricks Data Intelligence Platform to execute analytic workloads, AI and GenAI.

Shaping the future of AI goes hand in hand with discussions of diversity, equity, inclusion (DE&I), and women’s leadership. As AI increasingly pervades, revolutionizes industries, and reshapes the daily lives of people, the question of addressing intrinsic biases and ensuring inclusivity in the development of AI becomes critical.

Feedback loops are key to what we do as developers. They inform us and allow us to learn from our users’ past and present behaviors. This means we can work toward proactive development based on our reactive past. Proactive Programming vs. Reactive Programming Proactive programming pushes the concept of isolating variables that might be easy to mitigate. The idea is to eliminate problems before they become problems.

These days, where web professionals juggle multiple projects and tight deadlines, efficiency isn’t just a goal—it’s a necessity. Geekbot emerges as a beacon of productivity for teams using Slack and Microsoft Teams. With years of industry experience, many have seen tools come and go, but Geekbot stands out for its ability to keep teams engaged, projects on track, and communication seamless, ultimately boosting overall team morale and performance.

As can be inferred from their name, foundation models are the foundation upon which developers build AI applications for tasks like language translation, text summarization, sentiment analysis and more. Models such as OpenAI's GPT, Google's Gemini, Meta’s Llama and Anthropic’s Claude, are pre-trained on vast amounts of text data and have the capability to understand and generate human-like language.

Now-a-days the data needs to be shared across different systems and platforms. One of the most common formats for this data exchange is JSON (JavaScript Object Notation). Understanding how to properly handle special characters in JSON is crucial for ensuring data integrity. In this blog, we’ll explore JSON escape and unescape, explain their importance. So let’s get started!

Data management is one of today's most critical business function. Without a solid grasp of what data management entails, organizations can't use data effectively. So, businesses look to ETL developers and data engineers for everything from data processing and management basics to regulatory compliance and the overall processes that help businesses use data to steer organizational decisions.