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Deloitte Data as a Service for Banking: A Modern Data Solution for Banks and Capital Markets Institutions

databricks

As new Generative AI capabilities continue to emerge with heightened customer expectations, data modernization and migration to the cloud have become critical success.

AI 199
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Five Reasons to Build your Modern Data Stack on the Lakehouse with Databricks, dbt Labs and Fivetran

databricks

The Modern Data Stack (MDS) appeared several years ago as cloud-based modern data platforms put analytics - and the tools that power it.

Analytics 156
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Life of modern-day alchemists: What does a data scientist do?

Dataconomy

Today’s question is, “What does a data scientist do.” ” Step into the realm of data science, where numbers dance like fireflies and patterns emerge from the chaos of information. In this blog post, we’re embarking on a thrilling expedition to demystify the enigmatic role of data scientists.

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The blueprint for a modern data center 

IBM Journey to AI blog

Part one of this series examined the dynamic forces behind data center retransformation. Now, we’ll look at designing the modern data center, exploring the role of advanced technologies, such as AI and containerization, in the quest for resiliency and sustainability. AI and containerization are not just buzzwords.

AI 73
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Best of 2023: Top 5 Data Integrity Blog Posts

Precisely

Data integrity empowers your businesses to make fast, confident decisions based on trusted data that has maximum accuracy, consistency, and context. As 2023 comes to an end we’re counting down the Top 5 Data Integrity blog posts of the year. #5. Read more > #4. Read more > #2. Read more > #1.

AWS 69
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How to Assess Data Quality Readiness for Modern Data Pipelines

Dataversity

For growth-minded organizations, the ability to effectively respond to market conditions, competitive pressures, and customer expectations is dependent on one key asset: data. But having just massive troves of data isn’t enough. The key to being truly data-driven is having access to accurate, complete, and reliable data.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning Blog

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems.

AWS 113