Introducing Findability.Accelerate: Expediting the journey from Data Silos to AI-Readiness

Introducing Findability.Accelerate Press Release

With Information Architecture, Platform Plugins, and Tech Talent, Findability.Accelerate guarantees data-centric business impact

India, September 21, 2022 –  Findability Sciences, a global provider of enterprise AI solutions and an Inc. 5000 company, today announced the introduction of Findability.Accelerate, a solution that provides the necessary tools and framework to equip enterprises to become ‘AI-ready’ and expedite their AI journey. Findability.Accelerate brings information architecture to enterprises powered by solutions built on partner products and tech talent to get optimal business outcomes and return on investment. This three-pronged approach works towards expedient and efficient enterprise AI implementation. 

Organizations require cleaned, analyzed, and organized data, but too often, enterprises are struggling with data overload and crippling silos that can hinder digital transformation. Findability.Accelerate mitigates this risk by providing an information architecture (data) powered by products and solutions built on all major data platforms to ease migration. In addition, the platform also offers a customized, comprehensive report to unify data for AI and provides plugins for data migration and machine learning.

“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 global leader in dental implantology, was one such company that wanted to effectively harness its data for AI and achieve its goal of bringing millions of new smiles to the world. Like many companies in the dental industry, the Straumann Group was struggling with data overload, looking for ways to digitize its assets and implementing Findability.Accelerate framework helped them to optimize their data.

“We had several goals in mind when we approached Findability Sciences,” said 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

Information architecture is the foundation on which data is organized and structured across a company. Findability.Accelerate addresses data gaps and silos with a Data Census designed to identify business processes, data sets, personally-identifiable information, third-party data, and applications.

Findability.Accelerate uses a “Wide Data” approach to locate critical and relevant internal, external, structured, and unstructured data for Machine Learning. The solution leverages connectors to over 40,000 external variables while implementing the information architecture to include relevant external data in the unified information. 

Once the organization has successfully collected internal and external data, the framework can be built to create a solution, like a prediction engine that can also become part of an organization’s IP.

Platform Strategy

Findability.Accelerate has developed plug-and-play solutions for industry-leading platforms such as IBM, Snowflake, SAP, Automation Anywhere, and AWS. Findability.Accelerate manages end-to-end migration of services with automated tooling to allow businesses to journey from planning to execution and advance the AI journey.

Through its partnership with industry-leading data platforms such as Snowflake, EDB, Amazon Redshift, DB2, Netezza, and IIAS (IBM Integrated Analytics Systems), Findability.Accelerate offers all the technology, skills, and expertise required to enable businesses to migrate to modern, cloud-based data storage solutions.

Beyond data migration, Findability Sciences partner AI plugins provide access to a high-accuracy self-learning multi-modeling engine that can rapidly deploy solutions such as demand forecasting, propensity to pay and churn prediction on the unified data.

Tech Talent

Findability.Accelerate consists of experts managing AI applications, including monitoring, health checking, and maintaining the solutions program. Organizations without an IT staff can seek the help of the highly-skilled in-house tech talent of Findability Sciences staff augmentation services.

Every team member is partnered with an organization based on the organization’s specific business needs. The staff not only fully immerse themselves into the project, but they also maintain a good company culture and work according to specific goals.

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