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