data typing

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Published By: IBM     Published Date: Apr 14, 2017
Today, all consumers can obtain any piece of data at any point in time. This experience represents a significant cultural shift: the beginning of the democratization of data. However, the data landscape is increasing in complexity, with diverse data types from myriad sources residing in a mix of environments: on-premises, in the cloud or both. How can you avoid data chaos?
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data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations
    
IBM
Published By: AWS     Published Date: Jul 24, 2019
Trupanion, a Seattle-based medical insurance provider for cats and dogs, needed to find data insights quickly. With only 1% of pet owners insured, the process of evaluating a claim to approve or deny payment was manual and time-consuming. Building accurate predictive models for decision-making required manpower, time, and technology that the small company simply did not have. DataRobot Cloud, built on AWS, helped Trupanion create an automated method for building data models using machine learning that reduced the time required to process claims from minutes to seconds. Join our webinar to hear how Trupanion transformed itself into an AI-driven organization, with robust data analysis and data science project prototyping that empowered the company to make better decisions and optimize business processes in less time and at a reduced cost. Join our webinar to learn: Why you donít need to be an expert in data science to create accurate predictive models. How you can build and deploy pr
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AWS
Published By: IBM MaaS360     Published Date: Apr 15, 2015
Bring Your Own Device has changed the rules for corporate security on smartphones and tablets. Companies need†to find the right balance in securing devices and data without sacrificing the intuitive native experience that has made business move from typing to swiping.
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fiberlink, mobile users, strategy, app enabled, scalability, security, device management, enterprise
    
IBM MaaS360
Published By: IBM MaaS360     Published Date: Oct 08, 2015
Bring Your Own Device has changed the rules for corporate security on smartphones and tablets. Companies need†to find the right balance in securing devices and data without sacrificing the intuitive native experience that has made business move from typing to swiping.
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ibm, fiberlink, maas360, mobile, data security, mobile device management, networking, business technology
    
IBM MaaS360
Published By: IBM     Published Date: Apr 07, 2017
Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization. This Magic Quadrant evaluates vendors of data science platforms. These are products that organizations use to build machine-learning solutions themselves, as opposed to outsourcing their creation or buying ready-made solutions.
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data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations
    
IBM
Published By: Idera     Published Date: Jan 08, 2014
Download this whitepaper to learn the 5 Most Common Critical SQL Integrity Issues.
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idera, sql, integrity sql, data typing, data validation, physical consistency, data storage, software development
    
Idera
Published By: IBM     Published Date: Apr 18, 2017
Companies in all industries can benefit from a master data management program, advises MDM expert Anne Marie Smith. Learn how to enhance yours.
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data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations
    
IBM
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