Business Intelligence Compliance Programming 
CIO
NOVEMBER 27, 2024
Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.
O'Reilly Media - Ideas
JANUARY 14, 2025
There seems to be less interest in learning about programming languages, Rust being a significant exception. Anthropics Claude has a new (beta) computer use feature that lets the model use browsers, shells, and other programs: It can click on links and buttons, select text, and do much more. That might be a career mistake.
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CIO
MAY 20, 2024
This has CIOs moving from experimenting and testing intelligence in pockets to scaling up deployments and rolling out intelligence throughout their organizations. He has set up an AI program centered around identifying business use cases where intelligence could have an impact, such as solving a problem or streamlining a process.
CIO
NOVEMBER 21, 2023
As part of those efforts, larger enterprises often staff business relationship managers to play key roles in understanding and translating department technology needs into requirements and business cases. CIOs need a way to capture lightweight business cases or forecast business value to help prioritize new opportunities.
CIO
MARCH 24, 2023
The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. They must be accompanied by documentation to support compliance-based and operational auditing requirements.
CIO
MARCH 7, 2023
The organization’s size, types of programs, compliance requirements, and cultural readiness are just a few of the key variables requiring consideration. Then, often reporting to risk, compliance, or security organizations, are separate data governance teams focused on data security, privacy, and quality.
CIO
MARCH 21, 2022
As such, a data scientist must have enough business domain expertise to translate company or departmental goals into data-based deliverables such as prediction engines, pattern detection analysis, optimization algorithms, and the like. As in the finance sector, security and compliance are paramount concerns for data scientists.
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