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5 surefire ways to derail a digital transformation (without knowing it)

CIO Business Intelligence

Customize solutions to meet everyone’s requirements Many organizations use agile methodologies when planning and executing digital transformation and assign multidisciplinary teams to manage releases, sprints, and backlogs. But are product managers developing market- and customer-driven roadmaps and prioritized backlogs?

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Cropin’s agriculture industry cloud to provide apps, data frameworks

CIO Business Intelligence

Cropin Apps, as the name suggests, comprises applications that support global farming operations management, food safety measures, supply chain and “farm to fork” visibility, predictability and risk management, farmer enablement and engagement, advance seed R&D, production management, and multigenerational seed traceability.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

If you ask an engineer to show how they operate the application in production, they will likely show containers and operational dashboards—not unlike any other software service. Data is at the core of any ML project, so data infrastructure is a foundational concern. Foundational Infrastructure Layers. Orchestration. Versioning.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

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How to Design an Analytics Stack that Humans Actually Use

Alation

Less than 40 percent of Fortune 1000 companies are managing data as an asset and only 24 percent of executives consider their organization to be data-driven. The alternative investment management firm, Blackstone, exemplifies a business that saw the importance of humanizing their analytics stack. “We

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Five benefits of a data catalog

IBM Big Data Hub

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

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The Enterprise AI Revolution Starts with BI

Jet Global

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. So how is the data extracted? By using Structured Query Language, or SQL, the language used to manipulate and extract data stored in cubes.