Business Intelligence, Big Data Management

Future of care: Patient-centricity with real-world predictive analytics

February 8, 2023

Future of care: Patient-centricity with real-world
For centuries, patients have sought medical help for their ailments. Just as in the past, however, there are still many illnesses – both wellknown, widespread diseases and rare conditions – that initially cause few or inconclusive symptoms, and many patients leave the doctor’s office with an incorrect diagnosis. In addition, diseases may progress slowly or quickly depending on the individual.

Spotlight

Genii Ai & Analytics

Genii Ai, is an AI and SaaS Development company. Genii Ai & Analytics, provides artificial intelligence (AI) and machine learning solutions to Top 500 companies in the Financial Services, Telco, Healthcare, Insurance, Automotive and Retail sectors. Genii Ai started four years ago to R&D and develop Innovation and Analytic platforms to improve customer service, sales and retentions for B2C companies. During this process Genii developed the first Ai Prediction models to provide “Future State” customer behavioural prediction models that could integrate to digital RPA platforms and chatbot platforms. Genii leverage NLP, Text Analytics and machine learning on platforms such as Google, AWS and Azure for the prediction models.

OTHER WHITEPAPERS
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Vida for Retail: Rebooting Retail withthe Power of Data Analytics

whitePaper | January 11, 2023

There used to be a time when purchase decisions were based on recommendations of the neighborhood grocery manager. Today, these purchase decisions are driven by technology, bringing together the collective wisdom of consumers of the same product from across the world.

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Top 5 Data Ops Tools to Use in 2022

whitePaper | October 13, 2022

Generally, data-driven companies mainly struggle with data quality issues. Massive amounts of data, changing data storage requirements due to changing company regulations, and the various types of data sources and formats do make data management quite difficult for companies. Hence, the need for robust DataOps took to automate and simplify data life-cycle phases is of utmost importance at this point. Here are, some of the most important DataOps took that professionals can use in 2022.

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Hybrid Cloud and Data Analytics for Financial Services: Maturing the Model

whitePaper | August 25, 2022

This paper discusses how hybrid cloud and data analytics together enable new business value to be created in financial services organisations, proposes ways in which analytics can be embedded successfully and outlines how Atos, Microsoft and Dell EMC are collaborating to help bring these advantages about.

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Four Reasons Your Metadata Is Broken

whitePaper | April 1, 2021

Metadata is more important now than ever. New technologies have enabled businesspeople who have traditionally not been analysts to work with data. The consumerization of IT means people expect systems to be intuitive and require little training. With so many people using data to support so many kinds of decisions, it’s critical that your data is described, defined, and understood.

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Artificial Intelligence and National Security

whitePaper | November 26, 2019

Artificial intelligence (AI) is a rapidly growing field of technology with potentially significant implications for national security. As such, the U.S. Department of Defense (DOD) and other nations are developing AI applications for a range of military functions. AI research is underway in the fields of intelligence collection and analysis, logistics, cyber operations, information operations, command and control, and in a variety of semiautonomous and autonomous vehicles. Already, AI has been incorporated into military operations in Iraq and Syria. Congressional action has the potential to shape the technology’s development further, with budgetary and legislative decisions influencing the growth of military applications as well as the pace of their adoption.

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Drive Analytic Innovation Through SAS and Open Source Integration

whitePaper | May 27, 2021

In many organizations, we need more collaboration between businesses, analytic teams, application developers and IT operations. These teams often work with data in silos and end up duplicating efforts, failing to integrate, or missing opportunities to deliver value from data. In addition to siloed efforts, data scientists are also faced with ever-increasing volumes and speeds of data. And the reality is they’re expected to answer questions just as fast as - or faster than - before. It’s important that we’re using the right data and the right techniques to ensure optimal outcomes. Download this guide to learn more about SAS and open source.

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Spotlight

Genii Ai & Analytics

Genii Ai, is an AI and SaaS Development company. Genii Ai & Analytics, provides artificial intelligence (AI) and machine learning solutions to Top 500 companies in the Financial Services, Telco, Healthcare, Insurance, Automotive and Retail sectors. Genii Ai started four years ago to R&D and develop Innovation and Analytic platforms to improve customer service, sales and retentions for B2C companies. During this process Genii developed the first Ai Prediction models to provide “Future State” customer behavioural prediction models that could integrate to digital RPA platforms and chatbot platforms. Genii leverage NLP, Text Analytics and machine learning on platforms such as Google, AWS and Azure for the prediction models.

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