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Enhancing the Business Strategy with Data Engineering Solutions

Trigent

To do this, they are constantly looking to partner with experts who can guide them on what to do with that data. This is where data engineering services providers come into play. Data engineering consulting is an inclusive term that encompasses multiple processes and business functions.

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Data Science on Steroids: Productionised Machine Learning as a Value Driver for Business

OpenCredo

Machine Learning, alongside a mature Data Science, will help to bring IT and business closer together. By leveraging data for actionable insights, IT will increasingly drive business value. The Role of Data. The reason for this is the central role that data plays in machine learning.

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Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development.

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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

Gema Parreño Piqueras – Lead Data Science @Apiumhub Gema Parreno is currently a Lead Data Scientist at Apiumhub, passionate about machine learning and video games, with three years of experience at BBVA and later at Google in ML Prototype. Twitter: [link] Linkedin: [link]. Currently working for Hazelcast.

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The rise of the data lakehouse: A new era of data value

CIO

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). You can intuitively query the data from the data lake.

Data 350
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Supply Chain Control Tower: Enhancing Visibility and Resilience

Altexsoft

It means that it must have access to the systems we commonly use to manage our separate supply chain links such as manufacturing software, procurement software, TMS, WMS, inventory management software, order management system, yard management system , retail software, CRM, and so on. Data siloes. Lack of skilled experts.