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Understanding Digital Interactions in Real-Time

CIO Business Intelligence

The insights provided by analytics “in the moment” can uncover valuable information in customer interactions and alert users or trigger responses as events happen. All interactions are digital interactions. In a business context, this is defined as an interaction. The open data stack. Meeting new expectations.

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96 Percent of Businesses Can’t Be Wrong: How Hybrid Cloud Came to Dominate the Data Sector

Cloudera

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

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Generative AI is a make-or-break moment for CIOs

CIO Business Intelligence

While the changes to the tech stack are minimal when simply accessing gen AI services, CIOs will need to be ready to manage substantial adjustments to the tech architecture and to upgrade data architecture. In either case, CIOs need to develop pipelines to connect gen AI models to internal data sources.

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Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving. Choose ETL Jobs.

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Why Personalised Customer Care could Make or Break your Business

CIO Business Intelligence

Some organisations, for example, remain steadfastly off the cloud, making it difficult to leverage AI and machine learning capabilities, while others suffer from disorganised data architecture that can lead to incomplete or inaccessible analytics, vital for informing business strategy and enabling personalised experiences.

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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

Most organisations are missing this ability to connect all the data together. from Q&A with Tim Berners-Lee ) Finally, Sumit highlighted the importance of knowledge graphs to advance semantic data architecture models that allow unified data access and empower flexible data integration.

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Big Data Ingestion: Parameters, Challenges, and Best Practices

datapine

Big data: Architecture and Patterns. The Big data problem can be comprehended properly using a layered architecture. Big data architecture consists of different layers and each layer performs a specific function. The architecture of Big data has 6 layers. Data Ingestion Parameters.

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