Remove Agile Remove Data Engineering Remove IoT Remove Retail
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P&G turns to AI to create digital manufacturing of the future

CIO

We do that by leveraging data, AI, and automation with agility and scale across all dimensions of our business, accelerating innovation and increasing productivity in everything we do.”. Another element to achieving agility at scale is P&G’s “composite” approach to building teams in the IT organization. The power of people.

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Optimizing the Energy Sector with Data Analytics

Cloudera

This is possible thanks to the implementation of IoT solutions boosted by the introduction of communication improvements such as 5G or the future 6G technology, which will have a transmission speed of 1,000Gbp/s, compared to the 600Mbp/s of 5G. Lastly, we examine retail companies, the energy marketers.

Energy 83
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Supply Chain Control Tower: Enhancing Visibility and Resilience

Altexsoft

Due to extensive usage of connected IoT devices and advanced processing technologies, SCCTs not only gather data and build operational reports but also create predictions, define the impact of various macro- and microeconomic factors on the supply chain, and run “what-if” scenarios to find the best course of action. Data siloes.

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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

Manufacturing is typically characterized by producing a lot of various disparate data that is hard to organize and analyze, especially with the spread of Internet of Things (IoT) devices. Data engineers work with technologies, setting up and managing data pipelines to extract, store, and transform data for further usage.

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Data Mesh Architecture: Concept, Main Principles, and Implementation

Altexsoft

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

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Data Virtualization: Process, Components, Benefits, and Available Tools

Altexsoft

If the transformation step comes after loading (for example, when data is consolidated in a data lake or a data lakehouse ), the process is known as ELT. You can learn more about how such data pipelines are built in our video about data engineering. Enhanced data security and governance.

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Analytics Maturity Model: Levels, Technologies, and Applications

Altexsoft

Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software. At this stage, data is siloed, not accessible for most employees, and decisions are mostly not data-driven.

Analytics 102