In today’s technology-driven world, correctly diagnosing diseases takes almost a decade of medical training. And still, diagnostics is often an arduous, time-consuming process. It’s been observed that the demand for experts far exceeds the available supply, which eventually puts medical practitioners and doctors under immense pressure and can even delay life-saving diagnostics of patients. When it comes to disease detection using AI, there’s nothing better than Alta Futuris. Unlike traditional microscopic testing, our artificial intelligence-based diagnostics offers a shorter turnaround time. With the help of our AI-based medical diagnosis, pathologists and other medical professionals can send data and images to different specialists that may enhance research, diagnosis and collaborative diagnosis without moving from one location to another. We have a pool of ardent professionals who can efficiently employ robust AI solutions to take advantage of the predictive analytics technology that would help clinicians to identify disease vulnerability before its onset, eventually creating a culture of preventive care.
http://www.altafuturis.com/
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A single source of truth is a central and controlled source of data from which the entire organization can draw.
It is the master data.
When you lack such data and employee can pull down apparently the same metrics from disperse systems, unavoidably those systems will produce different numbers.
You get into a he-said-she-said situation, each player drawing and defending their position with their version of the ‘truth’.
Or even worse, some teams may naively leverage stale, low-quality, or otherwise incorrect data/metrics and make bad decisions, when they could have leveraged a better source.
The socio-economic fallout of the pandemic and geopolitical unrest continues to test the resilience of business models and resolve of the functional leaders.
HBR reports that 91% of the insiders acknowledge the centrality of data and analytics to successful business transformation.
It implores CIOs, innovation leaders, and CDOs to collaborate and embrace a data-first culture, uncovering new opportunities for creating exponential business values.The OECD defines DDI as applying data and analytics to elevate product development, business processes, organizational methods, or go-to-market (GTM) strategies.
Some such use cases can be:Product development: Data and analytics help identify gaps in the concepts and prototypes and point towards possible product and service innovation opportunities.
Also, Intuit monetized the usage data of its personal finance management (PFM) tool Quicken to seek out improved business opportunities, developing the QuickBooks accounting package for SMEs.Business decisions: Over 90% of the businesses that prioritize data and analytics in their decision-making culture feel confident about assuming faster and relevant choices.
The OTT platform arrived at a conclusion by correlating customer behavior data sets around the popularity of the lead actor, the director, and the original British TV show.
