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Machine Learning Pipeline: Architecture of ML Platform in Production

Altexsoft

Machine learning (ML) history can be traced back to the 1950s, when the first neural networks and ML algorithms appeared. Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements.

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6 strategic imperatives for your next data strategy

CIO

Not only should the data strategy be cognizant of what’s in the IT and business strategies, it should also be embedded within those strategies as well, helping them unlock even more business value for the organization.

Strategy 271
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How Retailers Use Artificial Intelligence to Innovate Customer Experience and Enhance Operations

Altexsoft

In 2017, global eCommerce sales accounted for 10.2 Revenue from eCommerce sales is expected to grow to 4.88 eCommerce share of total retail sales worldwide from 2015 to 2021. China’s leading eCommerce company Alibaba sells branded merchandize in the Futuremart cashierless store (opened in April 2018 at its Hangzhou headquarters.)

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Apiumhub as Partner of the Data Innovation Summit 2023 

Apiumhub

In this event, hundreds of innovative minds, enterprise practitioners, technology providers, startup founders, and innovators come together to discuss ideas on data science, big data, ML, AI, data management, data engineering, IoT, and analytics. Feel free to check out the whole list of speakers here.

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

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Big Data Engineer: Role, Responsibilities, and Job Description

Altexsoft

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

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Estimated Time of Arrival: How to Approach ETA Calculations in Logistics

Altexsoft

If you are, for example, an eCommerce business, you’re probably dealing with shipping carriers that offer tracking functionality. There are software tools that apply artificial intelligence and machine learning methods to analyze both historical and real-time maritime data and make accurate ETA predictions.