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How AI Helps F&B Companies Manage Inventory and Reduce Waste?

RandomTrees

As one of the most important sectors of the global economy, the food and beverage (F&B) industry works in highly volatile conditions and ensures its success by reducing waste and managing inventories. In addition, food wastage is still a burning issue worldwide, and the food and beverage industry accounts for a considerable portion of it.

Food 52
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Trends and Takeaways from Banking and Payments’ Event of the Year

Snowflake

This is not surprising when you consider all the benefits, such as reducing complexity [and] costs and enabling zero-copy data access (ideal for centralizing data governance).

Banking 93
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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.

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End-to-End Data Engineering System on Real Data with Kafka, Spark, Airflow, Postgres, and Docker

Towards Data Science

Ideal for those new to data systems or language model applications, this project is structured into two segments: This initial article guides you through constructing a data pipeline utilizing Kafka for streaming, Airflow for orchestration, Spark for data transformation, and PostgreSQL for storage. You can also leave the port at 5432.

Kafka 98
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Cloudera and AMD Spur Data Scientists to Take Climate Action

Cloudera

The world faces multiple environmental sustainability challenges — from the climate crisis and water scarcity to food production and urban resilience. Many of these emissions are driven by industrial and transportation systems reliant on fossil fuels. That means that the climate crisis will be won or lost in our urban environments.

Food 102
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Simplifying Multimodal Data Analysis with Snowflake Cortex AI

Snowflake

Instead of maintaining separate systems for structured data and image processing, data analysts and scientists can now work within the familiar Snowflake environment, using simple SQL to explore correlations between traditional metrics and visual intelligence. Sonnet, Mistral AIs Pixtral Large , and the upcoming Anthropics Claude 3.7

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Data Science in Agriculture: Roles, Application, Examples

Knowledge Hut

In addition, it employed systems to generate geospatial outputs for use in agriculture, disaster preparedness, and other areas. Also, the automated irrigation system can make use of weather forecasting. Crop Monitoring Data Science is being used to create more sophisticated crop monitoring systems.