Remove insights cloud-data-analytics overcome-data-silos
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Top 3 Data + AI Predictions for Manufacturing in 2024

Snowflake

AI’s predictive capabilities can help manufacturing leaders anticipate market trends and make data-driven decisions, creating financial opportunities for suppliers as well as customers. For their full insights, read the new report, Manufacturing Data + AI Predictions 2024. Data collaboration is already helping, Long says.

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Five Common Pitfalls on the Path to Becoming a Data-Driven Enterprise

Cloudera

Your company collects data from different sources and then you analyze the data to help make the right decisions. Maybe the insights aren’t accurate. Or you are only currently using data for a few use cases and struggle to implement organization wide. Data now becomes a product.

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Data Architecture and Strategy in the AI Era

Cloudera

At a time when AI is exploding in popularity and finding its way into nearly every facet of business operations, data has arguably never been more valuable. As organizations continue to navigate this AI-driven world, we set out to understand the strategies and emerging data architectures that are defining the future.

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ServiceNow Accelerates Data-Driven Innovation by Rearchitecting Its Enterprise Data Platform on Snowflake

Snowflake

More than 7,700 customers rely on ServiceNow’s platform and solutions to optimize processes, break down silos and drive business value. Achieving 20% year-over-year growth with a 98% renewal rate (as of Q1 2023) requires a data-driven understanding of the customer journey. Director, Data & Analytics at ServiceNow.

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How Manufacturers Can Derive Deeper Business Insights from SAP Data

Snowflake

Accelerating and increasing the value of SAP data to meet those challenges is no easy task, but it’s possible with the right solution. In this post we will discuss how some modern manufacturers are deriving deeper insight from their SAP data in order to drive faster, smarter decision-making and unlock new opportunities in the market.

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DataOps Architecture: 5 Key Components and How to Get Started

Databand.ai

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows. As a result, they can be slow, inefficient, and prone to errors.

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Is Your Financial Services Organization Ready to Leverage Generative AI?

Snowflake

As an industry built on data, financial services has always been an early adopter of AI technologies. While the possibilities of gen AI and large language models (LLMs) are limitless, there are several data challenges and risks financial executives need to be aware of when implementing AI that generates original content.