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    1. Key to Data Monetization | @CloudExpo #IoT #BigData #Analytics #AI #DX #DigitalTransformation

      Key to Data Monetization | @CloudExpo #IoT #BigData #Analytics #AI #DX #DigitalTransformation

      Analytic Profiles: Key to Data Monetization By William Schmarzo Many organizations are associating data monetization with selling their data. But selling data is not a trivial task, especially for organizations whose primary business relies on its data. Organizations new to selling data need to be concerned with privacy and Personally Identifiable Information (PII), data quality and accuracy, data transmission reliability, pricing, packaging, marketing, sales, support, etc.

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    2. AI Is About Machine Reasoning | @CloudExpo @ReneBuest #AI #ML #DX #ArtificialIntelligence

      AI Is About Machine Reasoning | @CloudExpo @ReneBuest #AI #ML #DX #ArtificialIntelligence

      [video] Catchpoint's By Liz McMillan The current age of digital transformation means that IT organizations must adapt their toolset to cover all digital experiences, beyond just the end users’. Today’s businesses can no longer focus solely on the digital interactions they manage with employees or customers; they must now contend with non-traditional factors.

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    3. How Quantum Computing with DNA Storage Will Affect Your Health | @CloudExpo #Cloud #Storage

      How Quantum Computing with DNA Storage Will Affect Your Health | @CloudExpo #Cloud #Storage

      How Quantum Computing with DNA Storage Will Affect Your Health By Guest Contributor Taran VolckhausenContributing Editor at Vector Moore's Law, which states that processing speeds will double every two years as we cram more and more silicon transistors onto chips, has been faltering since the early 2000s when the law started to run up against fundamental limitations presented by the laws of thermodynamics .

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    4. Natural Language Processing | @BigDataExpo #BigData #Analytics #DataScience

      Natural Language Processing | @BigDataExpo #BigData #Analytics #DataScience

      Natural Language Processing By William Schmarzo “Apophenia is the propensity to see patterns in random data.” We encounter it all the time in the real world. Examples include gamblers who see patterns in how the cards are being dealt or investors who imagine patterns in the movement of certain stocks, or basketball fans who believe that their favorite player has the “hot hand.” But apophenia has no place in the world of data science, especially when data science is trying to help us make better decisions about critical things such as the quality of healthcare, where to allocate police resources ...

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      Mentions: Yahoo Maine Big Data
    5. DevOps Loses Its Religion | @CloudExpo #AI #ML #IoT #FinTech #Blockchain

      DevOps Loses Its Religion | @CloudExpo #AI #ML #IoT #FinTech #Blockchain

      Intellyx's 2017 Digital Transformation Predictions Guest post by Intellyx Principal Analyst Charles Araujo Once again, we find ourselves at the dawn of a new year. And many would say, not a moment too soon. With a series of tumultuous elections around the world and an unusual number of celebrity passings, it's been a rough year. But there is at least one bright spot from 2016: Intellyx's digital transformation prognostications were close to spot on !

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