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Published By: SAS     Published Date: Jan 17, 2018
The Industrial Internet of Things (IIoT) is flooding todayís industrial sector with data. Information is streaming in from many sources ó equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intelís leadership in IIoT information architecture to create solutions that turn raw data into valuable insights.
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SAS
Published By: Motorola Solutions     Published Date: May 02, 2019
FORECASTER GUIDE | MANUFACTURING SOLUTIONS 2 What does it look like when all workers at your manufacturing facility can communicate and coordinate seamlessly from any location, device or network? The time is NOW to imagine a world where devices, networks, and locations donít matter. A world where workers from production lines, to plant managers, engineers, security and beyond can communicate effortlessly and instantly, both on and offsite. A Unified Team Communications solution from Motorola Solutions is whatís NEXT for your facility to make this all possible. This guide was created to help you experience how each and every staff member can work smarter, safer, and minimize unwanted downtime when equipped with intelligence driven communications solutions. See how Unified Team Communications powers the collaboration between all these workers to create the next-generation in smart connected manufacturing:
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Motorola Solutions
Published By: PitneyBowes     Published Date: Sep 29, 2010
Breakthroughs in relationship marketing are transforming the role of transaction mail-and those who manage it.
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pitney bowes, mail, transpromo, openability, postal, customer data integration, production intelligence, marketing, statement management
    
PitneyBowes
Published By: MemSQL     Published Date: Nov 15, 2017
Data Warehousing in the Age of Artificial Intelligence This Ebook will guide you through building and deploying scalable, production-ready artificial-intelligence applications. Inside, you will find several artificial intelligence use cases, code samples to help you get started, and an outline of high throughput data processing architectures necessary for developing AI applications.
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data warehousing, artificial intelligence, data piplelines
    
MemSQL
Published By: IBM     Published Date: Dec 30, 2008
Most long-standing data warehouses are designed to support a relatively small number of users who access information to support strategic decisions, financial planning and the production of standard reports that track performance. Today, many more users need to access information in context and on demand so that critical functions are optimized to run efficiently. Learn how to create a roadmap for a truly dynamic warehousing infrastructure, and move ahead of your competition with your business intelligence system
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warehousing infrastructure, ibm, business intelligence, data warehouse, dynamic warehousing, data warehouse model, master data, data management
    
IBM
Published By: SAS     Published Date: Jun 05, 2017
"The Industrial Internet of Things (IIoT) is flooding todayís industrial sector with data. Information is streaming in from many sources ó equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intelís leadership in IIoT information architecture to create solutions that turn raw data into valuable insights. "
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SAS
Published By: IBM     Published Date: Apr 27, 2017
Itís hard to grow your business if you canít see whatís coming next. What will the demand be for a specific product or service and how should you adjust production? What revenue can be expected and from which channels? Where are the best areas to expand your business? Predictive analytics can provide the answers executives, analysts and business managers need to reduce costs, operate more efficiently and increase the bottom line. Join IBM SPSS and guest Mark Lack, Manager of Strategy Analytics and Business Intelligence with industrial products company Mueller Inc. for a look at how to decrease costs and improve your businessí profitability with predictive analytics. Youíll learn how Mueller extends the value of its Big Data environment by applying predictive techniques to accurately forecast sales, prevent fraud and reduce losses from damaged inventory, saving the company significant time and money.
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predictive analytics, fraud detection, increase revenue, decrease costs, customer retention, hr efficiency, advanced analytics
    
IBM
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