Expediting the Journey from Data Silos to AI-Readiness


    New Delhi, India:
     Findability Sciences, a worldwide supplier of enterprise AI options and an Inc. 5000 firm, at this time introduced the introduction of Findability.Accelerate, an answer that gives the obligatory instruments and framework to equip enterprises to turn out to be ‘AI-ready’ and expedite their AI journey. Findability.Accelerate brings data structure to enterprises powered by options constructed on associate merchandise and tech expertise to get optimum business outcomes and return on funding. This three-pronged strategy works in the direction of expedient and environment friendly enterprise AI implementation.

    Organizations require cleaned, analyzed, and arranged knowledge, however too usually, enterprises are battling knowledge overload and crippling silos that may hinder digital transformation. Findability.Accelerate mitigates this danger by offering an data structure (knowledge) powered by merchandise and options constructed on all main knowledge platforms to ease migration. In addition, the platform additionally provides a personalized, complete report to unify knowledge for AI and gives plugins for knowledge migration and machine studying.


    “The upshot, there is no AI without IA,” says Anand Mahurkar, an Inc. 5000 entrepreneur and CEO of Findability Sciences. “The promise of artificial intelligence transforming businesses is appreciated by leadership across industries. However, the way AI is looked at, thought about, adopted, and used, can only succeed with the right framework in hand.”


    “With the skills, processes, and technology that Findability.Accelerate offers, an organization can successfully optimize data and succeed in its AI journey,” continues Mahurkar.


    The Straumann Group, a worldwide chief in dental implantology, was one such firm that needed to successfully harness its knowledge for AI and obtain its purpose of bringing hundreds of thousands of recent smiles to the world. Like many firms in the dental {industry}, the Straumann Group was battling knowledge overload, in search of methods to digitize its property and implementing Findability.Accelerate framework helped them to optimize their knowledge.


    “We had several goals in mind when we approached Findability Sciences,” mentioned Sridhar Iyengar, Director, Data & Tech – North America, Straumann Group. “We wanted to build an information infrastructure that is easy to consume and draw insights, augmented by AI to drive operational decisions that will take us closer to our customer centricity goals. We embarked on a use case based approach to build this data architecture leveraging the Accelerate framework in our pursuit to harness the volumes of data that we have gathered over years of serving the oral health business. We started with the logistics and customer service processes as the preliminary use cases to transform the data aggregated from our systems of engagement and our systems of record to measure our performance through KPIs such as fill rate, engagement quality and Net promoter score (NPS). We are confident that these foundational building blocks of AI will help us accelerate our business goals to expand the implant market leadership and build direct to consumer presence, to become the most innovative customer centric oral care business.”


    Components of Findability.Accelerate


    Information Architecture

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    Information structure is the basis on which knowledge is organized and structured throughout an organization. Findability.Accelerate addresses knowledge gaps and silos with a Data Census designed to establish business processes, knowledge units, personally-identifiable data, third-party knowledge, and purposes.


    Findability.Accelerate makes use of a “Wide Data” strategy to find important and related inner, exterior, structured, and unstructured knowledge for Machine Learning. The resolution leverages connectors to over 40,000 exterior variables whereas implementing the data structure to embrace related exterior knowledge in the unified data.


    Once the group has efficiently collected inner and exterior knowledge, the framework will be constructed to create an answer, like a prediction engine that may additionally turn out to be a part of a company’s IP.


    Platform Strategy

    Findability.Accelerate has developed plug-and-play options for industry-leading platforms equivalent to IBM, Snowflake, SAP, Automation Anywhere, and AWS. Findability.Accelerate manages end-to-end migration of companies with automated tooling to enable companies to journey from planning to execution and advance the AI journey.


    Through its partnership with industry-leading knowledge platforms equivalent to Snowflake, EDB, Amazon Redshift, DB2, Netezza, and IIAS (IBM Integrated Analytics Systems), Findability.Accelerate provides all the know-how, expertise, and experience required to allow companies to migrate to fashionable, cloud-based knowledge storage options.


    Beyond knowledge migration, Findability Sciences associate AI plugins present entry to a high-accuracy self-learning multi-modeling engine that may quickly deploy options equivalent to demand forecasting, propensity to pay and churn prediction on the unified knowledge.


    Tech Talent

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    Findability.Accelerate consists of specialists managing AI purposes, together with monitoring, well being checking, and sustaining the options program. Organizations with out an IT workers can search the assist of the highly-skilled in-house tech expertise of Findability Sciences workers augmentation companies.

    Every group member is partnered with a company based mostly on the group’s particular business wants. The workers not solely absolutely immerse themselves into the mission, however additionally they keep an excellent firm tradition and work in accordance to particular targets.

    For extra data, go to: https://findability.ai/

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