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    1. How Is Apple Using Machine Learning? | @ThingsExpo #AI #ML #DL #DX #IoT

      How Is Apple Using Machine Learning? | @ThingsExpo #AI #ML #DL #DX #IoT

      What DX Means to Retailers By William Schmarzo A recent BusinessWeek article titled “America’s Retailers Are Closing Stores Faster Than Ever” summarizes the epidemic that retailers are facing today (see Figure 1). Retailers are closing stores at a record path and the driving force behind the acceleration in store closings is Amazon, who now accounts for over 50% of all on-line retail sales (see Figure 2).

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      Mentions: Amazon Apple Sydney
    2. The What, Why, and How of APIs | @DevOpsSummit #API #DevOps #WebPerf

      The What, Why, and How of APIs | @DevOpsSummit #API #DevOps #WebPerf

      What DX Means to Retailers By William Schmarzo A recent BusinessWeek article titled “America’s Retailers Are Closing Stores Faster Than Ever” summarizes the epidemic that retailers are facing today (see Figure 1). Retailers are closing stores at a record path and the driving force behind the acceleration in store closings is Amazon, who now accounts for over 50% of all on-line retail sales (see Figure 2).

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      Mentions: Amazon Apple Google
    3. Legacy Modernization: Look to the Cloud and Open Systems | @CloudExpo #API #Cloud #Agile

      Legacy Modernization: Look to the Cloud and Open Systems | @CloudExpo #API #Cloud #Agile

      How Is Apple Using Machine Learning? By Nate Vickery Today, machine learning is found in almost every product and service by Apple. They use deep learning to extend battery life between charges on their devices and detect fraud on the Apple store, recognize the locations and faces in your photos, and help Apple choose news stories for you. The concept of AI (Artificial Intelligence) has been the subject of many discussions lately.

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      Mentions: Amazon Apple America
    4. Container Considerations on Your #DevOps Journey | @DevOpsSummit #AI #Docker #Serverless

      Container Considerations on Your #DevOps Journey | @DevOpsSummit #AI #Docker #Serverless

      How to Sponsor @ThingsExpo California By Pat Romanski Internet of @ThingsExpo, taking place October 31 - November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 21st Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The Internet of Things (IoT) is the most profound change in personal and enterprise IT since the creation of the Worldwide Web more than 20 years ago.

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    5. 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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    6. Natural Language Processing | @BigDataExpo #BigData #Analytics #DataScience

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

      Internet Privacy 2017 | What You Need to Know By Shelly Palmer There has never been a reasonable expectation of online privacy, and there never will be. Regardless of what you may have recently heard about joint resolutions or nullifications, nothing has changed. Internet Service Providers (ISPs) have always had the right to use your data as they see fit, within a few Federal Trade Commission (FTC) and Federal Communications Commission (FCC) parameters. This has not changed.

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    7. 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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