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From project to product: Architecting the future of enterprise technology

CIO Business Intelligence

In todays digital economy, business objectives like becoming a leading global wealth management firm or being a premier destination for top talent demand more than just technical excellence. Enterprise architects must shift their focus to business enablement. The stakes have never been higher.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

The Edge-to-Cloud architectures are responding to the growth of IoT sensors and devices everywhere, whose deployments are boosted by 5G capabilities that are now helping to significantly reduce data-to-action latency. The key difference is this: monitoring is what you do, and observability is why you do it.

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My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

Observability is a business strategy: what you monitor, why you monitor it, what you intend to learn from it, how it will be used, and how it will contribute to business objectives and mission success. The key difference is this: monitoring is what you do, and observability is why you do it.

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How Can BI Consulting Services Help Foster Data-driven Decisions

BizAcuity

As businesses increasingly rely on data for competitive advantage, understanding how business intelligence consulting services foster data-driven decisions is essential for sustainable growth. Business intelligence consulting services offer expertise and guidance to help organizations harness data effectively.

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A step-by-step guide to setting up a data governance program

IBM Big Data Hub

The primary goal of any data governance program is to deliver against prioritized business objectives and unlock the value of your data across your organization. Realize that a data governance program cannot exist on its own – it must solve business problems and deliver outcomes.

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Which workloads are best suited for cloud vs. on-premises or edge?

CIO Business Intelligence

Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains.

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CDOs: Your AI is smart, but your ESG is dumb. Here’s how to fix it

CIO Business Intelligence

Additionally, CDOs should work closely with sustainability officers to align data collection and reporting processes with ESG goals, ensuring transparency and accountability. Beyond environmental impact, social considerations should also be incorporated into data strategies.

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