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Get to Know Your Retail Customer: Accelerating Customer Insight and Relevance

Cloudera

There are lessons to be learned from the brick and mortar or pure-play digital retailers that have been successful in the Covid-19 chaos. Since the bulk of the retail season is upon us, I wanted to reflect on the four basic pillars of retail that we see successful companies embody. Personalized Interactions Driven by Data.

Retail 61
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Gen AI Perspectives from Industry Leaders Shaping the Future

Snowflake

It started when one capable model suited for text gained mainstream attention, and now, less than 18 months later, there is a long list of commercial and open-source gen AI models are now available, alongside new multimodal models that also understand images and other unstructured data.

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Maximizing Supply Chain Agility through the “Last Mile” Commitment

Cloudera

Now that we have established tailored demand, we need to figure out how to fulfill demand though a robust and capable supply chain, let’s drive into building an agile retail supply chain. Data today has a shelf life much like produce and needs to be updated in real-time to be relevant.

Retail 91
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What is Streaming Analytics?

Cloudera

Retail Service: Using real-time analytics to help brands, marketers, and retailers understand and learn how customers behave while they shop in the store. What are the business challenges with today’s data? For many years, batch processing has been the primary approach to deliver data for analysis. Watch a video.

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Highest Paying Data Science Jobs in the World

Knowledge Hut

From Silicon Valley to Wall Street, from healthcare to e-commerce, data scientists are highly valued and well-compensated in various industries and sectors. According to Glassdoor, the average annual pay of a data scientist is USD 126,683. What is Data Science?

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Veracity in Big Data: Why Accuracy Matters

Knowledge Hut

Veracity meaning in big data is the degree of accuracy and trustworthiness of data, which plays a pivotal role in deriving meaningful insights and making informed decisions. This blog will delve into the importance of veracity in Big Data, exploring why accuracy matters and how it impacts decision-making processes.

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Commercial Lines Insurance- the End of the Line for All Data

Cloudera

For example, the types of data sourced from other industries that we can use in the underwriting process include: Manufacturing – sensors (for quality, safety and maintenance-related). Retail – location (and associated risk), type of equipment used, inventory sensors, supply chain data, hours of operation.