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The Modern Data Streaming Pipeline: Streaming Reference Architectures and Use Cases Across 7 Industries 

Snowflake

This is driving the importance of streaming data and analytics, which play a crucial role in making better-informed decisions that likely lead to faster, better outcomes. Let’s use manufacturing as an example. Executives across various industries are under pressure to reach insights and make decisions quickly.

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How Modern Automotive Companies Can Generate Value With Connected Mobility

Snowflake

The sheer amount of connected product data—petabytes generated on a daily basis—is reshaping manufacturing by presenting new business opportunities as well as tackling challenges that have for a long time stalled innovation. Ensuring timely availability and reducing downtime also boosts customer satisfaction.

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Achieving Trusted AI in Manufacturing

Cloudera

In the dynamic landscape of modern manufacturing, AI has emerged as a transformative differentiator, reshaping the industry for those seeking the competitive advantages of gained efficiency and innovation. There are many functional areas within manufacturing where manufacturers will see AI’s massive benefits.

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Snowflake Startup Challenge 2024: Announcing the 10 Semi-Finalists

Snowflake

The list of Top 10 semi-finalists is a perfect example: we have use cases for cybersecurity, gen AI, food safety, restaurant chain pricing, quantitative trading analytics, geospatial data, sales pipeline measurement, marketing tech and healthcare. This year’s entries presented an impressively diverse set of use cases. SignalFlare.ai

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2021 State of Analytics: Why Users Demand Better

As organizations become more data driven, their analytics requirements grow. Hanover Research recently conducted a survey that investigates the role of analytics from the perspective of knowledge workers, people who handle or use information as part of their jobs. Strengths and weaknesses of their current analytics solution.

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Top 3 Data + AI Predictions for Manufacturing in 2024

Snowflake

Investment in AI for manufacturing is expected to grow by 57% by 2026. That’s hardly surprising — with AI’s ability to augment worker productivity, improve efficiency and drive innovation, its potential in manufacturing is vast. For their full insights, read the new report, Manufacturing Data + AI Predictions 2024.

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How Manufacturers Can Derive Deeper Business Insights from SAP Data

Snowflake

Manufacturers face no shortage of challenges in the industry today, but there are also tremendous opportunities to be had. Accelerating and increasing the value of SAP data to meet those challenges is no easy task, but it’s possible with the right solution. Compliance can be complex and costly.