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Reading Time: 2 minutes In the dynamic arena of banking, hyper-personalization emerges as a beacon of innovation, reshaping customer interactions in profound ways. Join us as we embark on a journey to explore this intriguing domain, unravelling its core principles, diverse applications, associated benefits,…
Reading Time: 6 minutes The emergence of Large Language Models (LLMs) and Generative AI marks a significant leap in technology, promising to deliver transformational automation and innovation across diverse industries and use cases. Having said that, as everyone races to develop next generation AI…
Reading Time: 5 minutes The data landscape has become more complex, as organizations recognize the need to leverage data and analytics for a competitive edge. Companies are collecting traditional structured data as well as text, machine-generated data, semistructured data, geospatial data, and more. Many…
Reading Time: 2 minutes Fast, intelligent decision making relies on real-time access to the right data. However, the pain is real when it comes to data integration and data management, but today’s enterprise architects are racing to build modern data infrastructures using data fabric,…
Reading Time: 3 minutes Artificial intelligence (AI) technologies are poised to bring about a revolution in the business world. Disruptive, large language model (LLM) technologies like ChatGPT, OPT, CodeGen, and PaLM 2 are about to transform both the way we communicate with applications and…
Reading Time: 4 minutes Some say that data is the new “black gold,” but I believe that just like crude oil, data has little value until you extract it, refine it, and put it to use. In this post, I will share some of…
Reading Time: 2 minutes As we head into the new year, organizations should be aware of the latest trends in data management. Here are my top five trends to keep an eye on in 2023: 1. Data Democratization Organizations are giving more of their…
Reading Time: 2 minutes Today, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Whether or not they begin with on-premises systems, such modernization efforts often involve the implementation of hybrid configurations. Unfortunately, with data spread…
Reading Time: 2 minutes In recent years, there has been a growing interest in data architecture. One of the key considerations is how best to handle data, and this is where data mesh and data fabric come into play. But what are the key…
Reading Time: 4 minutes To understand how to accelerate and simplify cloud data integration and leverage cloud marketplaces, we first need to understand: What exactly is cloud data integration? It is nothing more than a consolidation of data from disparate data sources in which…
