Remove Consulting Remove Prescriptive Analytics Remove Risk Management
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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management. Predictive analytics, with the help of machine learning, keeps getting more accurate with the continuous inflow of data.

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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

As with any good consulting response, “it depends.” Do you recommend a consulting approach strategy rather than a CDO strategy? What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Value Management or monetization. Risk Management (most likely within context of governance).

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AI’s Achilles heel: Securing the next revolution

CIO Business Intelligence

Artificial intelligence (AI)-enabled systems are driving a new era of business transformation, revolutionizing industries through prescriptive analytics, personalized customer experiences and process automation. Vipin also led consulting practices at Accenture, Microsoft and HPE, advising Fortune 100 firms and U.S.

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