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Workforce Planning Reimagined: AI Makes Forecasting Smarter

David Menninger's Analyst Perspectives

But as industries evolveespecially those with high turnover and a large frontline workforce, like retail, healthcare and hospitalitycompanies must rethink how they forecast talent needs. When workforce planning is approached holistically, businesses gain a more comprehensive view of future talent needs and potential gaps.

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How can CIOs Build Business Value with Business Analytics?

Smart Data Collective

Team Upskilling: Train business analysts on planning, gap analysis, scoping & blueprinting, cost-benefit calculation of new initiatives, solution architecture, modelling, elicitation, requirement management, performance management, and other improvement initiatives. Conclusion.

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How healthcare organizations can analyze and create insights using price transparency data

AWS Big Data

In addition, you can use ML in QuickSight to gain ML-driven insights, detect pricing anomalies, and create forecasts based on historical files. As hospitals generate this data, they can use their organization data or ingest data from other hospitals to derive analytics and competitive comparison.

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Beyond the hype: Key components of an effective AI policy

CIO Business Intelligence

Assessment and gap analysis Amazon faced scrutiny when its AI-powered recruiting tool was found to exhibit bias against women. Identify gaps related to ethics, transparency, risk and compliance. This gap analysis will help pinpoint areas that need improvement as you craft your AI policy.