Remove Data Engineering Remove Fashion 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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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.

Strategy 102
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The Year Ahead for BPM -- 2019 Predictions from Top Influencers

BPM

So BPM is today another form of low-code application development. Successful organizations will differentiate themselves by ensuring the customer experience is not a fashion or an afterthought, but instead lies at the very heart of how they organize and run their business. All of them virtually not true. Phil Simpson Red Hat [link].

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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 81
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Technology Trends for 2023

O'Reilly Media - Ideas

Now developers are using AI to write software. Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. Practices like the use of code repositories and continuous testing are still spreading to both new developers and older IT departments.

Trends 134
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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. JD.com’s chain of unmanned stores.