… and your data warehouse / data lake / data lakehouse. A few months ago, I talked about how nearly all of our analytics architectures are stuck in the 1990s. Maybe an executive at your company read that article, and now you have a mandate to “modernize analytics.” Let’s say that they even understand that just…
Large language models (LLMs) are advanced AI systems designed to process and generate human-like text by training on extensive datasets. They excel in tasks ranging from translation and summarization to answering questions and writing content, effectively simplifying what used to be labor-intensive, complex interactions between humans and machines. LLMs represent a transformative leap in artificial…
We live in a data-driven culture, which means that as a business leader, you probably have more data than you know what to do with. To gain control over your data, it is essential to implement a data governance strategy that considers the business needs of every level, from basement to boardroom. A proper data…
Discerning businesses are ensuring each area of their organizations has access to performance metrics. Armed with data, their teams can accelerate decision-making, respond to client and marketplace demands, and mitigate risks. The issue is many organizations have segregated data environments. Each department often has its own data management platform that may not integrate with other…
In the era of big data and bigger AI, businesses are relying more on the importance of real-time data processing and analytics. Streaming data is a powerful paradigm for handling continuous, unbounded streams of data in real time. However, despite benefits like reduced latency, improved responsiveness, and the ability to make data-driven decisions on the…
Business intelligence (BI) has historically been a platform for data and business analysts who build dashboards for executives to make decisions. But the generative AI (GenAI) explosion over the past 18 months has changed the game. People everywhere have tasted the power of ChatGPT and now want a natural language interface to every application. But…
You may not be an analytics expert and you may find terms like PMML integration somewhat daunting. But, in reality, the concept is not complex, and the value is outstanding. So, what is PMML integration? PMML stands for “predictive model markup language.” It is an interchange format that provides a method by which analytical applications and…
Predictive analytics is a branch of analytics that identifies the likelihood of future outcomes based on historical data. The goal is to provide the best assessment of what will happen in the future. Basically, predictive analytics answers the question “What will happen?” The value of predictive analytics lies in enabling business enterprises to proactively anticipate…
The insurance industry is undergoing a revolution, mainly driven by the application of advanced emerging technologies. The application and installation of new technologies enable a better future for our industry, where customers will receive maximum efficiency, security, and flexibility. Here, we address the major technologies and trends that influence this transition, shedding light on their…
“Advanced analytics” has been the new buzzword on every organization’s mind for the past several years. Recent advancements in machine learning have promised to optimize every arm of an organization – from marketing and sales to supply-chain operations. For some, investments in advanced analytics have been worth the hype. Those who succeed can gain a…
