Thursday, July 8, 2021

g-f(2)362 The big picture of the digital age (7/8/2021), CIO, Predictive analytics: 4 success stories



ULTRA-condensed knowledge


Opportunity, The global predictive analytics market will reach $22.1 billion by 2026
  • In March, research firm Facts & Factors said the global predictive analytics market was estimated at $5.7 billion in 2019 and will reach $22.1 billion by 2026, a compound annual growth rate (CAGR) of 24.5%.
Lesson learned, Rolls-Royce optimizes maintenance schedules
  • Rolls-Royce, one of the world’s largest makers of aircraft engines, is deploying predictive analytics to help dramatically reduce the amount of carbon its engines produce while also optimizing maintenance to help customers keep their planes in the air longer.
      Lesson learned, DC Water proactively hunts sewer main breaks
      • The District of Columbia Water and Sewer Authority (DC Water) has created a tool called Pipe Sleuth that uses AI to review CCTV footage of sewer pipes to classify defects.
      Lesson learned, Ellie Mae hunts for ransomware threats
      • Mortgage technology company Ellie Mae has taken a proactive stance on ransomware by developing Autonomous Threat Hunting. Autonomous Threat Hunting combines threat intelligence, predictive analytics, AI, and previously identified indicators of compromise (IOC) to identify new compromise indicators and new evasion techniques before they can be used.
      Lesson learned, Kaiser Permanente reduces patient mortality
      • Managed care consortium Kaiser Permanente has created a hospital workflow tool that leverages predictive analytics to identify non-intensive care unit (ICU) patients that are at risk of rapid deterioration.

      Genioux knowledge fact condensed as an image


      Condensed knowledge


      Opportunity, The global predictive analytics market will reach $22.1 billion by 2026
      • In March, research firm Facts & Factors said the global predictive analytics market was estimated at $5.7 billion in 2019 and will reach $22.1 billion by 2026, a compound annual growth rate (CAGR) of 24.5%.
      Lesson learned, Rolls-Royce optimizes maintenance schedules
      • Rolls-Royce, one of the world’s largest makers of aircraft engines, is deploying predictive analytics to help dramatically reduce the amount of carbon its engines produce while also optimizing maintenance to help customers keep their planes in the air longer.
          Lesson learned, DC Water proactively hunts sewer main breaks
          • The District of Columbia Water and Sewer Authority (DC Water) has created a tool called Pipe Sleuth that uses AI to review CCTV footage of sewer pipes to classify defects.
          Lesson learned, Ellie Mae hunts for ransomware threats
          • Mortgage technology company Ellie Mae has taken a proactive stance on ransomware by developing Autonomous Threat Hunting. Autonomous Threat Hunting combines threat intelligence, predictive analytics, AI, and previously identified indicators of compromise (IOC) to identify new compromise indicators and new evasion techniques before they can be used.
          Lesson learned, Kaiser Permanente reduces patient mortality
          • Managed care consortium Kaiser Permanente has created a hospital workflow tool that leverages predictive analytics to identify non-intensive care unit (ICU) patients that are at risk of rapid deterioration.


          Category 2: The Big Picture of the Digital Age

          [genioux fact deduced or extracted from CIO]

          This is a “genioux fact fast solution.”

          Tag Opportunities those travelling at high speed on GKPath

          Type of essential knowledge of this “genioux fact”: Essential Analyzed Knowledge (EAK).

          Type of validity of the "genioux fact". 

          • Inherited from sources + Supported by the knowledge of one or more experts.


          Authors of the genioux fact

          Fernando Machuca



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          ABOUT THE AUTHORS


          Senior Writer
          Twitter account: @ThorOlavsrud
            
          Thor Olavsrud covers data analytics, business intelligence, and data science for CIO.com. He resides in New York.


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