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Businesses are in a persistent productivity slump that could last through 2030, according to a 2023 World Bank study. The tech boom that powered innovation and growth over the last three decades is fading. Many companies are counting on artificial intelligence (AI) to boost operational efficiency and counteract these alarming trends.

Welcome back to the Loadero newsletter and a happy new year to you all! As we look back at 2023 we see that it has been a rocky year and we are as eager as ever to move onwards to 2024! But before we jump into the new year, we wanted to bring you updates on what new features have been added in December.

Vertex AI transcription models in BigQuery let you transcribe speech files and combine them with structured data to build analytics and AI use cases.

With the integration of BigQuery and Document AI, you can extract insights from document data and build new large language model (LLM) applications.

Artificial intelligence based APIs are reshaping traditional subscription models thanks to their unique monetization frameworks. These API products enable companies seeking tailored solutions in automation and AI workflows, departing from one-size-fits-all UI approaches and embracing a highly customizable experience. Originally designed for internal platforms, APIs built with AI are now evolving into revenue gateways, transforming them into strategic assets contributing directly to company revenue.

JVM uses threads to execute every single operation. And during its lifetime, these threads can go through various stages. One such stage, where the threads are unable to move any further or are blocked from operating is called as the thread-waiting situation. There are various scenarios in which a thread can enter a waiting state. Identifying and diagnosing thread-waiting situations is important for maintaining the performance and reliability of multithreaded applications.