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MWC 2024 Replay: Huawei unlocks resilient, ‘non-stop’ banking with four-pronged solutions strategy

CIO Business Intelligence

Cao shared that Huawei’s data intelligence solution combines an all-serverless architecture with data lakehouse and data-AI convergence. Compared to traditional data architecture and warehouses, Huawei’s data warehouse services promise the ability to handle enormous amounts of data and support full real-time upgrades.

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What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

A DSS supports the management, operations, and planning levels of an organization in making better decisions by assessing the significance of uncertainties and the tradeoffs involved in making one decision over another. The size of the DSS database will vary based on need, from a small, standalone system to a large data warehouse.

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Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.

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Powerful Video Summaries, Powered by AI

Timo Elliott

He explains that automation and innovation have become critical as the world experiences supply chain disruptions, inflation, extreme weather events, worker shortages, and uncertainty. However, analysts say that 30% of digital transformation projects fail to deliver on their expected outcomes due to fragmentation in existing systems.

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Innovate What’s Next: How Living Labs Brings Ideas to Life

CIO Business Intelligence

If anything, the past few years have shown us the levels of uncertainty we are facing. Our world today is experiencing an extremely social, connected, competitive and technology-driven business environment.

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How is the ‘Mesh’ Resolving Bottlenecks of Data Management

Smart Data Collective

More case studies are added every day and give a clear hint – data analytics are all set to change, again! . Data Management before the ‘Mesh’. In the early days, organizations used a central data warehouse to drive their data analytics. This is also true that decentralized data management is not new.

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Banking on mainframe-led digital transformation for financial services

IBM Big Data Hub

Banks have the most to gain if they succeed (and the most to lose if they fail) at bringing their mainframe application and data estates up to modern standards of cloud-like flexibility, agility and innovation to meet customer demand.