Systems | Development | Analytics | API | Testing

Video marketing is pretty much a requirement today. 91% of businesses made it a part of their content mix in 2024 and 90% reported a positive ROI. But you must be artful and strategic about how you use it. Like the purpose of other forms of content, video supports a larger objective for your brand and it can be used to refine your content strategy too. This guide digs into just that: how to use video analytics to improve your content strategy.

When a new feature rolls out, the last thing any team wants is to deal with unexpected bugs slipping through testing.

With the advent of modern Large Language Models (LLMs), Retrieval Augmented Generation (RAG) has become a de-facto technology choice, employed to extract insights from a variety of data sources using natural language queries. RAG combined with LLMs presents many new possibilities for integrating Generative AI capabilities within existing business applications, specifically opening up many new use cases within the data streaming and analytics space.

A report by Bloomberg Intelligence projects the AI industry will reach $1.3 trillion by 2032, with proprietary data fueling much of this growth. As businesses increasingly adopt generative AI (genAI) to enhance efficiency, data is rapidly becoming one of the most valuable assets in the digital economy. Foundational AI models require vast amounts of data for training, and many AI products are now leveraging proprietary datasets alongside these models to power innovative applications and AI agents.

Financial services companies are leveraging data and machine learning to mitigate risks like fraud and cyber threats and to provide a modern customer experience. By following these measures, they are able to comply with regulations, optimize their trading and answer their customers’ needs. In today’s competitive digital world, these changes are essential for ensuring their relevance and efficiency.

Database replication involves making sure important data is replicated across multiple locations within a company. In the advanced digital age, businesses must take all measures to safeguard their data and ensure its availability at all times. Data availability is important for proactive decision-making and empowering other tech, such as AI. This is where database replication becomes a high priority. But what is database replication exactly?

Picture this: You’ve just deployed a new feature at work, and you’re buzzing with excitement. But suddenly, you hear whispers of a critical bug in the old functionality. That gut-wrenching moment reminds us how important it is to address regression testing. In this post, we’ll delve into the legacy views of regression testing, explore its modern implications, and highlight why risk management is the real MVP in ensuring robust software development.