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How Manufacturers Drive Profits with Connected Products

Snowflake

And manufacturers start to monetize connected products. The topline impact The ubiquitousness of connected devices and sensors represents a massive opportunity for manufacturers to generate new revenue streams, capture market share, and fuel growth. AI has become more democratized. 5G adoption supports streaming and micro batches.

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Digital Transformation is a Data Journey From Edge to Insight

Cloudera

The missing chapter is not about point solutions or the maturity journey of use cases, the missing chapter is about the data, it’s always been about the data, and most importantly the journey data weaves from edge to artificial intelligence insight. . Fig 1: The Enterprise Data Lifecycle. Data Collection Challenge.

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Next Stop – Predicting on Data with Cloudera Machine Learning

Cloudera

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines.

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The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. If you are interested in learning about how a modern Enterprise Data Cloud can support the goal of being increasingly data-driven, please join me for my upcoming webinar.

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Building DoorDash’s Product Knowledge Graph with Large Language Models

DoorDash Engineering

Table 1: Classifying item name tokens to product attributes Building an attribute extraction model Building an in-house attribute extraction/tagging model from scratch requires a significant amount of labeled training data to reach the desired accuracy. This is often known as the cold-start problem of natural language processing , or NLP.

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Data – the Octane Accelerating Intelligent Connected Vehicles

Cloudera

The goal is to define, implement and offer a data lifecycle platform enabling and optimizing future connected and autonomous vehicle systems that would train connected vehicle AI/ML models faster with higher accuracy and delivering a lower cost. connected manufacturing, and connected vehicles, see more of his perspective at [link].

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AI-First Benefits: 5 Real-World Outcomes

Cloudera

The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. But you’ll need efficient, intelligent systems such as the Cloudera Data Platform to execute the strategy.

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