The #IoT and #Analytics @ThingsExpo #BigData #BI #AI #DX #MachineLearning

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The Internet of Things (IoT) promises to change everything by enabling "smart" environments (homes, cities, hospitals, schools, stores, etc.) and smart products (cars, trucks, airplanes, trains, wind turbines, lawnmowers, etc.). I recently wrote about the importance of moving beyond "connected" to "smart" in a blog titled "Internet of Things: Connected Does Not Equal Smart". The article discusses the importance of moving beyond just collecting the data, to transitioning to leveraging this new wealth of IoT data to improve the decisions that these smart environments and products need to make: to help these environments and products to self-monitor, self-diagnose and eventually, self-direct. But one of the key concepts in enabling this transition from connected to smart is the ability to perform "analytics at the edge." Shawn Rogers, Chief Research Officer at Dell Statistica, had the following quote in an article in Information Management titled "Will the Citizen Data Scientist Inherit the World?": "Organizations are fast coming to the realization that IoT implementations are only going to become more vast and more pervasive, and that as that happens, the traditional analytic model of pulling all data in to a centralized source such as a data warehouse or analytic sandbox is going to make less and less sense.


Water Sector Embracing Big Data

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The water sector has collected reams of data for decades, but it's only within the last few years that utilities, agencies, consultants and vendors have begun to use that data to improve everything from managing maintenance to predicting water flow to digitally mimicking an entire watershed. The move to leverage digital information in the sector over the last two to three years is "drastic," says Luis Casado, senior vice president of water for Gannett Fleming and one of several people who spoke passionately about the possibilities of water data at Water Environment Federation's annual WEFTEC conference Oct. 1-3 in New Orleans. Firms like Gannett Fleming, Arcadis, Brown and Caldwell, and Jacobs are taking previously underutilized information from supervisory control and data acquisition, or SCADA, systems, and pairing it with historic datasets and additional sensor data to create customized digital dashboards and applications for water agencies and related entities. "It's not a single piece of software, it's an approach of how you look at data and how you merge that information and use it effectively in day-to-day operation," said Kevin Stively, smart utility leader for Brown and Caldwell, in a presentation at the event. He said historical information can be layered on real-time information to help a younger workforce make the operational decisions that older workers relied on their "gut" to make.


How to Achieve #DigitalTransformation @CloudExpo @DellEMC #DX #AI #IoT

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Industry after industry is under siege as companies embrace digital transformation (DX) to disrupt existing business models and disintermediate their competitor's customer relationships. But what do we mean by "Digital Transformation"? Digital Transformation The coupling of granular, real-time data (e.g., smartphones, connected devices, smart appliances, wearables, mobile commerce, video surveillance) with modern technologies (e.g., cloud native apps, Big Data architectures, hyper-converged technologies, artificial intelligence, blockchain) to enhance products, processes, and business-decision making with customer, product and operational insights. The digital transformation starts by understanding the organization's business initiatives, and then prioritizing which initiatives are top candidates for enhancement through digital transformation. "Begin with an end in mind" to quote Stephen Covey.


The Lord of the Things: Spark or Hadoop?

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Are people in your data analytics organization contemplating the impending data avalanche from the internet of things and thus asking this question: "Spark or Hadoop?" The internet of things (IOT) will generate massive quantities of data. In most cases, these will be streaming data from ubiquitous sensors and devices. Often, we will need to make real-time (or near real-time) decisions based off of this tsunami of data inputs. How will we efficiently manage all of this, make effective use of it, and become lord over it before it becomes lord over us?


Report highlights Asia Pacific digital transformation market -

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Research and Markets has published a new report titled: "Digital Transformation Asia Pacific: 5G, Artificial Intelligence, Internet of Things, and Smart Cities in APAC 2019 – 2024." This report identifies market opportunities for deployment and operations of key technologies within the Asia-Pacific region. The report cites examples such as H3C Technologies plans to offer a comprehensive digital transformation platform within Thailand. The platform includes core cloud and edge computing, big data, interconnectivity, information security, IoT, AI, and 5G solutions. The report predicts what will happen with 5G technology, to identifying how 5G will digitally transform business in Asia Pacific.