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The future of data: A 5-pillar approach to modern data management

CIO

One of the most challenging aspects of business analytics is creating a consistent set of data definitions to ensure reports do not produce conflicting or unreliable information. The introduction of generative AI (genAI) and the rise of natural language data analytics will exacerbate this problem.

Data 167
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Gradient backs Butter’s operating system for food distribution businesses

TechCrunch

It also makes it hard for businesses to comply with the FDA’s new food traceability regulations. Butter ’s solution is an all-in-one management system that helps distributors run their businesses while serving as a system of record to help them comply with food safety rules.

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Business intelligence and analytics firm Pyramid Analytics raises $100M

TechCrunch

By handling large amounts of data to analyze and benchmark lines of business, BI promises to help identify, develop, and otherwise create new revenue opportunities. Pervasive BI remains elusive, but statistics on the category reveal that about a third of employees use BI tools for analytics to inform strategy.

Analytics 215
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7 famous analytics and AI disasters

CIO

Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year.

Analytics 218
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What is a business intelligence analyst? A key role for data-driven decisions

CIO

Some of the top BI certifications include: Certified Business Intelligence Professional (CBIP) IBM Data Analyst Professional Certificate Microsoft Certified: Power BI Data Analyst Associate QlikView Business Analyst SAP Certified Application Associate: SAP BusinessObjects Business Intelligence Platform 4.3

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Boost team productivity with Amazon Q Business Insights

AWS Machine Learning - AI

Its essential for admins to periodically review these metrics to understand how users are engaging with Amazon Q Business and identify potential areas of improvement. In this post, we explore Amazon Q Business Insights capabilities and its importance for organizations.

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CDH Users: If you have done impactful things with data please share how what and why

CTOvision

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads. ADVANCED ANALYTICS.