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Future Trends in Analytics ppt

AI enhances risk management by detecting suspicious patterns, scoring risk levels, and identifying fraud with high accuracy. Through anomaly detection, predictive analytics, and real-time monitoring, AI helps organizations prevent threats before they escalate. The result is stronger security, lower financial losses, and faster decision-making with minimal manual intervention.

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Future Trends in Analytics ppt

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  1. FUTURE TRENDS IN ANALYTICS WWW.HDATASYSTEMS.COM INFO@HYPERLINKINFOSYSTEM.COM

  2. INTRODUCTION Real-time decision-making is now a competitive necessity. Organizations require accurate predictions, not just historical data. Teams want insights that are actionable, contextual, and easy to interpret.

  3. Traditional analytics vs modern analytics Move from descriptive → predictive → prescriptive THE SHIFT TOWARD INTELLIGENT ANALYTICS Importance of continuous intelligence

  4. TREND 1: AI-POWERED ANALYTICS Machine learning automates data processing AI generates deeper insights with minimal human input AI identifies patterns and anomalies

  5. TREND 2: REAL- TIME ANALYTICS Instant decision-making Live dashboards and event streams Industries using real-time insights (finance, retail, logistics)

  6. TREND 3: PREDICTIVE & PRESCRIPTIVE ANALYTICS Forecasting future outcomes Recommending best actions Use cases: demand planning, risk alerts, customer churn

  7. TREND 4: AUGMENTED ANALYTICS Automated insights generation Natural language queries (“Ask your data”) AI assisting analysts automatically

  8. Processing data on-device instead of cloud Lower latency, more privacy Used in IoT, autonomous systems, wearables TREND 5: EDGE ANALYTICS

  9. CONCLUSION Analytics is moving toward real-time, automated, and AI-driven Future belongs to organizations that adapt quickly Data + AI will define the next decade of business

  10. THANK YOU WWW.HDATASYSTEMS.COM INFO@HYPERLINKINFOSYSTEM.COM

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