Remove Data Engineering Remove Fashion Remove Performance Remove Weak Development Team
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Data engineers vs. data scientists

O'Reilly Media - Data

The two positions are not interchangeable—and misperceptions of their roles can hurt teams and compromise productivity. It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data.

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Bringing an AI Product to Market

O'Reilly Media - Ideas

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 145
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How Retailers Use Artificial Intelligence to Innovate Customer Experience and Enhance Operations

Altexsoft

Experts from such companies as Lucidworks, Advantech, KAPUA, MindsDB, Fellow Robots, KaizenTek, Aware Corporation, XR Web, and fashion brands Hockerty and Sumissura joined the discussion. Let’s travel overseas and check out how Chinese tech giants have been developing in the same field. data is analyzed. Shopping at JD.ID

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Data Product Strategies: How Cloudera Helps Realize and Accelerate Successful Data Product Strategies

Cloudera

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads. A Robust Security Framework.

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Improving Stream Data Quality with Protobuf Schema Validation

Confluent

The Deliveroo Engineering organisation is in the process of decomposing a monolith application into a suite of microservices. The team began investigating the range of encoding formats that would suit Deliveroo’s requirements. Because it builds on top of Apache Kafka we decided to call it Franz. Deciding on an Encoding Format.

Data 80
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Procurement Analytics: Challenges, Opportunities, and Implementation Approaches

Altexsoft

Consider applying this approach if you work in a less stable environment, e.g., automotive market, fashion, or food products. Tracking vendor-related KPIs to choose suppliers and monitor their performance. Here are the principal KPIs that will allow you to evaluate and monitor your suppliers’ performance. Contract audit.

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Security, Usability & Cloud Data Services in Finance

OpenCredo

It provides information about business activities, about customer behaviour and about the performance of our systems. To optimise our use of data, we need services which store it reliably, provide interfaces for analysis and automate transformation. AWS CloudTrail provides a full audit trail of all actions performed over the AWS API.

Cloud 40