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5 recommendations to get your data strategy right

IBM Big Data Hub

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

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Bold 2023 Data Predictions

TDAN

Special thank you to Altair for providing the following set of bold predictions for 2023. The data world continues to change rapidly and you may want to consider these predictions when planning for the new year. The rise of generative AI startups: Generative artificial intelligence exploded in 2022.

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2023 Predictions: Data Trends That Will Dominate Business Agenda in APAC

Cloudera

As more industries mature digitally and widely adopt AI and machine learning technologies, 2023 will be a pivotal year for organizations looking to deploy emerging tech solutions company-wide to fulfill business objectives. 1- Treating data as a strategic business asset . Find out more about CDP for modern data architectures here.

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Think Your Company Doesn’t Need a Chief Data Officer? Here Are 7 Reasons Why It Does

Cloudera

Adding another position may not be terribly appealing, but there is one C-suite role every company should consider—chief data and analytics officer (CDO or CDAO). Data is the lifeblood of modern business, the fuel that powers digital transformation, and every company should have a data strategy.

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Building a vision for real-time artificial intelligence

CIO Business Intelligence

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. How is data, process, and model drift managed for reliability?

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. One important aspect to a successful data strategy for any organization is data governance.

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Build a transactional data lake using Apache Iceberg, AWS Glue, and cross-account data shares using AWS Lake Formation and Amazon Athena

AWS Big Data

It allows you to access diverse data sources, build business intelligence dashboards, build AI and machine learning (ML) models to provide customized customer experiences, and accelerate the curation of new datasets for consumption by adopting a modern data architecture or data mesh architecture. Choose Create job.