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Loop ++ by Centific

Centific Global Solutions Inc.

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Loop ++ by Centific

Centific Global Solutions Inc.

Gen AI Solution that caters to all needs of an Enterprise - Business, Functional, IT & engg teams

Centific’s Gen AI suite leverages Azure Open AI and other Azure Cloud services and is designed to cater to all needs of an enterprise. Enterprises looking for out of the box Gen AI solutions are having to evaluate several platforms and solutions for their various needs. Centific Suite ensures that all the users in an Enterprise have access to Gen AI to perform their roles better.

Centific GenAI suite is powered by our Intelligent Data Platform (IDP.ai) wherein configuration activities like Datasource connection, Data Fabric configuration with Metadata Mapping.

The suite includes:

  1. Talk2Data- Gen AI solution targeted for users managing the Business. Key KPIs around Demand Forecasting, Return on Investment, Cost Analysis & Budgeting, Business Planning can be done using Talk2Data. Talk2Data can also be used by Functional teams like HR, Finance, Legal etc. for information dissemination retrieval within the enterprise
  2. Talk2Cloud- Gen AI solution tailored for IT Teams to track the FinOps, SecOps and CloudOps setup and suggest steps to improve the posture. It is a really powerful tool particularly if the number of subscriptions are high and decision making is decentralized
  3. Talk2Code- Gen AI based Co-pilot solution to help Engineering teams be more productive. Helps identify gaps in coding standards, Requirements coverage and Test Coverage
  4. Talk2Application- Gen AI solution for ISVs to manage multiple tenants and their subscription

Benefits/Value Proposition:

  1. Suite of products for all enterprise needs- option to select based on Business needs
  2. Centific’s Gen AI suite is based on the principal of Data Virtualization wherein all Data is processed at the source(edge) itself without the need to migrate to a centralized repository
  3. Fully hosted on Azure – SaaS offering where customers pay based on consumption of Azure services
  4. Centific provides professional services covering implementation, user training and application support
  5. Centific also provides roadmap to graduate to open source proprietary (Custom) LLM solution based on Gen AI adoption levels within the enterprise

The components of Centific’s Gen AI architecture are:

  1. Universal Edge connector- PreBuilt connectors to connect to various structured , semi structured and unstructured data sources
  2. Data Fabric- Ensures that only the metadata is extracted and Data is processed in real time through virtualization without migrating or creating copies
  3. Model Engineering layer is provided by Open AI or custom model
  4. Contextualization layer is where Business context is applied to align the output to Business KPIs
  5. Consumption Apps are the presentation layer that can view the outcome based on Role Based access controls defined

Engagement Model (Implementation/Professional Services)

Implementation of Centific’s Talk2 Suite happens through a Proof of Concept/Proof of value phase which is about 12 weeks long. This includes 3 steps:

  1. Interaction with Business owners to identify use case for PoC and the appropriate Talk2 solution
  2. 1-2 week planning and preparation phase to identify use case and KPI to be measured
  3. 8-10 week PoC implementation phase with exit criteria being a clear demonstration of Proof of value realized
  4. The duration and size of team for full implementation varies between 20-60 person months depending on complexity of use cases and datasets to be integrated

  5. Deliverables

    1. Deployed Solution on Azure
    2. Demonstrated and Measured Improvements on KPIs agreed as part of use case definition (KPI before Gen AI and after Gen AI implementation)
    3. Business Architecture and Technical Architecture documents
    4. User training & handover to Technical and Business teams
Meer informatie
Centific Gen AI offering description Datasheet
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https://store-images.s-microsoft.com/image/apps.2524.8c7fda89-bf08-49da-b432-bdb335990e2c.20be358d-efe1-4906-a6f3-d01d836e74b6.77c4fcf4-09b6-4ef6-9dd0-e7014a91348e
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