SAP and Databricks have announced a strategic partnership to integrate Databricks within the SAP Business Data Cloud, enhancing data-driven decision-making. Read this to know the full story!

Celebal Technologies, Sigma and Databricks have developed cutting-edge business applications that streamline Enterprise Performance Management (EPM).

We are thrilled to announce the launch of Konverto AI, a cutting-edge Databricks Generative AI Brickbuilder Solution designed to redefine enterprise efficiency and unlock the transformative potential of Gen AI.

As enterprises strive to innovate and maintain a competitive edge with generative AI, they encounter various data and business-related challenges. Fragmented workflows and data silos create operational inefficiencies, as data and insights are scattered across departments, limiting seamless collaboration and timely decision-making

In today's competitive business environment, delivering exceptional customer experiences is essential. Unfortunately, long hold times, generic responses, and a lack of personalization can undermine customer satisfaction. To address these challenges, we've embarked on a journey to enhance our customer support systems using advanced language models.

In this blog post, we'll explore why Databricks migration holds immense importance in today's ever-evolving data landscape. So, get ready for a data-driven revolution as we unveil why businesses choose Databricks as their preferred tool. 

Celebal Technologies is a leading software services company specializing in Data Science, Big Data, and Enterprise Cloud solutions. Through our work at Celebal and our extensive industry experience, we enable customers to unleash their full potential in their digital transformation initiatives and turn their aspirations into reality.

We initiated the comparison between DBR ML runtime and Snowpark ML by employing an openly accessible dataset from Kaggle. The data setup process will mirror the steps elucidated in the preceding chapter, including the exploratory data analysis (EDA) procedures. We would try to cover all possible aspects of a production-ready machine-learning pipeline.