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8 ways CIOs and CHROs can collaborate for business impact

CIO

One of the most important relationships a technology leader can forge is with the chief human resources officer (CHRO). It’s through ongoing discussions with HR where we learn insights on hiring and retention within our own organization. This keeps us competitive,” she says.

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Building a vision for real-time artificial intelligence

CIO

Real-time AI brings together streaming data and machine learning algorithms to make fast and automated decisions; examples include recommendations, fraud detection, security monitoring, and chatbots. The underpinning architecture needs to include event-streaming technology, high-performing databases, and machine learning feature stores.

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M&A Trends and Outlook for 2023

Alpha Sense BI

Around the world, investors are favoring companies that have proven their profitability and that can demonstrate how they have successfully utilized their capital. Now, energy companies find themselves with an abundance of capital and many are seeking to deploy it either via acquisitions or returns to shareholders.

Biotech 97
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Sammons Financial Group Among Top Companies in U.S. for Work-Life Balance

Wink Intel

. “The pandemic put a spotlight on the importance of work-life balance, and we are pleased to have positive response from our employees,” said Anne Cooper , Sammons Financial Group chief human resources officer. The company earned a bronze award in the Best Advance in Employee Engagement category.

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Price testing: How to design a framework to maximize your profit

Data Hut

Here, we are talking of capital, time as well as human resource. The process becomes efficient, thus saves your effort, time, and capital. Also read: Coronavirus: Changing consumer behavior and e-commerce trends. The key learnings from your data will shape your product price. . You can perform tests daily.

KPI 52
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What Is The Difference Between Business Intelligence And Analytics?

Datapine Blog

Predictive analytics : This method uses advanced statistical techniques coming from data mining and machine learning technologies to analyze current and historical data and generate accurate predictions. For example, let’s say that your hypothetical e-commerce store sold boutique women’s fashion. click to enlarge**.