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Infosys Nia

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  • The role of machine learning and AI in your digital transformation journey
    The role of machine learning and AI in your digital transformation journey
    Infosys NIA Recorded: Mar 8 2018 67 mins
    Step beyond the hype and the myths about Artificial Intelligence (AI) and Machine Learning (ML). Join us on this webinar to learn the real world significance of AI for an enterprise. This webinar will take a practical view of how ML can make a difference in your business, illustrating the role it plays in any meaningful digital transformation effort employing AI. The focus will be on the business value this technology can deliver.

    Infosys Nia, a comprehensive AI platform, comes equipped with Advanced Machine Learning that works in concert with its other aspects rendering effective digital transformation solutions for an enterprise. Join us to learn how you can embark on your own digital transformation journey.


    Guest Speaker:
    - Mike Gualtieri, VP, Principal Analyst Serving Application Development & Delivery Professionals, Forrester

    Infosys Speaker:
    - Sudhir Jha, Senior Vice President, Infosys.
  • Infosys Nia Use Case: Product Compliance
    Infosys Nia Use Case: Product Compliance
    Infosys NIA Recorded: Feb 16 2018 4 mins
    Large multinational organizations need to ensure that they are always compliant with regulatory requirements. Trade names for raw materials change across markets and can pose a challenge for regulatory teams to be on top of. Infosys Nia with advanced machine learning and natural language processing helps you build knowledge models breaking down the composition into trade names which can be tested automatically against defined rules. See how Infosys Nia makes it easier for companies to be compliant and reduce fines and increase employee productivity.
  • Infosys Nia Use Case: Understanding Contracts
    Infosys Nia Use Case: Understanding Contracts
    Infosys NIA Recorded: Feb 16 2018 4 mins
    One of our clients operates with multiple entities under multiple contracts that govern how business is conducted. They were dealing with extended lead times manually reviewing contracts and handling exceptions. Infosys Nia ingested all contract agreements to create a knowledge model that captured rules, exceptions and resolutions. The model responded to incoming queries and resolved exceptions based on information captured from the labor contracts. A conversational interface provided natural language query into the knowledge models, helping the client reduce lead times, lower costs and improve efficiency.
  • Infosys Nia Use Case: Predictive Costing
    Infosys Nia Use Case: Predictive Costing
    Infosys NIA Recorded: Feb 16 2018 4 mins
    Infosys Nia lets you accurately predict the cost of product development by applying machine learning and advanced text analytics on historic cost data. Understand all factors that influence cost of development accurately. Increase profits, reduce costs and shorten your development cycles by improving employee productivity and eliminating iterations between design and operations.
  • Infosys Nia Use Case: Asset Maintenance
    Infosys Nia Use Case: Asset Maintenance
    Infosys NIA Recorded: Feb 16 2018 4 mins
    Asset operations and maintenance are critical business processes for many organizations. Watch how Infosys Nia’s machine learning and natural language processing help a Chiller Unit save on costs and improve efficiency. Learn how Nia implementation improved issue resolution times by up to 75% and increased the productivity of maintenance engineers by 50%.
  • Infosys Nia Use Case: L3 Automation
    Infosys Nia Use Case: L3 Automation
    Infosys NIA Recorded: Feb 15 2018 3 mins
    Infosys Nia ingests source code, historical incident tickets, and other documentation to build a knowledge model of the source code with mapping across modules. Natural language processing, text analytics and machine learning techniques are applied to perform bug localization, root-cause and impact analysis, and test plan generation.

    Benefits:

    • Amplified staff capabilities
    • Improved staff productivity and utilization
    • Lowered Average Handle Time
    • Lowered Mean Time To Resolve

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