Here's the recent articles submitted by syntelli solutions
Articles By syntelli solutions
Python & R Vs. Spss & Sas
By: syntelli solutions
Although computer programming has improved exponentially in the past several decades, not all programming languages are capable of processing the data used for machine learning. Big data has grown significantly, and the resulting data sets are both larger and more complex. Text data analysis, commodity modeling, and other processes must have the appropriate coding infrastructure in order to give detailed and useful results.
Fortunately, computers and their languages have largely caught up. With well-crafted statistical analysis programs, AI can now make stunningly accurate predictions about everything from healthcare trends to traffic patterns.
SAS and SPSS are statistics-oriented softwares that have been widely used across a variety of industries. However, the open-source capabilities of Python and R have allowed them to surpass SAS and SPSS in many ways.(read
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Category : General
Applying Ai To Process Manufacturing
By: syntelli solutions
What do Rolls Royce, Siemens, and General Motors have in common? All of them use Artificial Intelligence to increase production efficiency and reduce costs. According to recent studies, the AI market will reach a fascinating $190.61 billion by 2025, which only proves that more companies will adopt this technology and use data for their benefit.
Here are some of the ways you can apply AI in manufacturing to achieve greater production speed and better user experience:(read
entire article)
View : 248 Times
Category : General
13 Digital Transformation Opportunities For Financial Services
By: syntelli solutions
Financial institutions may be a part of everyday life in the United States but recruiting and retaining customers isn't easy. Satisfactory customer experience and customer trust are crucial to banking, investing, and loan services, especially when there are so many competitors nationwide.
Bringing relevant services and products to clients' attention requires careful incorporation and analysis of existing company data and overall market trends. Some services, like mobile applications, are increasingly mandatory for financial institutions to offer.
There is also huge potential in big data and analytics for financial services, especially when considering their applications in marketing. Computer programming and processing power have improved exponentially in recent years, making it possible for artificial intelligence to make predictions around client behavior and preferences.(read
entire article)
View : 241 Times
Category : General
Leveraging Data And Analytics In Radiology
By: syntelli solutions
Healthcare, indeed, is a complex domain to unravel but it is not impossible. Over time, clinics and hospitals have gathered different technologies to solve different aspects of clinical or medical problems. Now that analytics is the norm of running a more impactful business, the challenge of working with disintegrated applications with unstructured data is more evident.(read
entire article)
View : 358 Times
Category : General
The Role Of Big Data In Preventing Healthcare Fraud And Waste
By: syntelli solutions
Due to the complexity of medical procedures and the variety of goods and services available today, medical billing is prone to errors and waste. Mistakes in electronic medical records are common, and many patients don't examine their monthly insurance Explanation of Benefits closely enough to catch them.
Fraud, waste, and abuse (FWA) is the term used for both intentional and unintentional billing errors that end up costing insurers money. Although deliberate acts often target Medicare and Medicaid recipients, they are sometimes aimed at private insurers. Sometimes, the patients themselves are in on the fraud.
Fraud in the healthcare industry is not a new problem and eliminating it may be impossible. The National Healthcare Anti-Fraud Association estimates the cost of healthcare fraud to be $80 billion annually in the U.S. Other sources determine it is closer to $200 billion, or 3-10% of the total spend on healthcare.
However, big data can tackle not only deliberate fraud, but also unintentional input errors that staff make. Machine learning powered by big data can identify abnormal patterns and outliers from individual providers based on historical data that is continuously updated to provide more accurate results.
This can help insurers recover more losses, which research suggests is only 5% annually.(read
entire article)
View : 224 Times
Category : General
Using Big Data For Financial Fraud Prevention
By: syntelli solutions
Although technology has made banking more convenient for customers, it has also opened up new avenues for fraud. Financial fraud statistics show that account fraud, credit card fraud, insurance fraud, scams, and other fraudulent acts cause millions of dollars in damages to institutions and consumers every year.
Financial fraud detection is essential for minimizing risk for institutions. Scammers can easily drain individual accounts or run up tens of thousands of dollars on credit cards. Worse yet, organized crime rings can execute elaborate schemes and steal millions of dollars.
Big data fraud detection is a cutting-edge way to use consumer trends to detect and prevent suspicious activity. Even subtle differences in a consumer's purchases or credit activity can be automatically analyzed and flagged as potential fraud. Using data analytics to detect fraud requires expert knowledge and computer resources, but is easier than ever, due to improvements in programming languages and server technology.(read
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Category : General
Implementing Fast Healthcare Interoperability Resources (fhir) For Compliance
By: syntelli solutions
“In early March, the Centers for Medicare and Medicaid Services (CMS) and the Office of the National Coordinator for Health Information Technology (ONC) released two sets of rules on information blocking. They made two dramatic changes: patients would be able to more easily access their health information through apps, and health IT companies and providers could be penalized for failing to securely share health information.” (Med City News, 2020)
However, considering the recent pandemic, the timeline for hospitals and health IT vendors to comply has been extended by 6 months, making the new requirements in effect by 2021.(read
entire article)
View : 174 Times
Category : General
Why Does Healthcare Need To Leverage Ai To Save Lives?
By: syntelli solutions
The healthcare industry is one of the most popular industries for the implementation of artificial intelligence. The market revenue in 2014 was $633.8 million and it's estimated to reach $6,662.2 million by 2021.
However, market growth aside, there are more important reasons why the implementation of AI in healthcare is critical for saving lives.(read
entire article)
View : 212 Times
Category : General
5 Ways Cloud Computing Makes Data Scientists Productive
By: syntelli solutions
Data science is becoming more prevalent now, so the typical approach of using local computers is no longer supporting the pace of this fast change. Extending data science work to the cloud provides data scientists with options that will make them more productive with less complication.
At Syntelli, we help companies build the right infrastructure, develop and implement data science solutions that bring business value. Depending on the scale of work, we provide both standard and cloud deployments to companies.(read
entire article)
View : 188 Times
Category : General
Data Science Vs. Data Analytics: What's The Difference?
By: syntelli solutions
Improvements in data collection and storage have allowed companies to prevent fraud, streamline operations, and gain new insights into consumers. However, implementing new measurement systems requires a team of professionals who can create software, run programs, and interpret results correctly.
Data science and data analytics are two closely interconnected fields that rely on statistics, programming, and other sciences to allow individuals and companies to interpret data. The skills and resources required for data analytics and data science vary somewhat depending on the industry, but the concepts behind the two are always the same.
In short, data science is the back-end theory behind modern data analytics but understanding the full differences between data analytics vs data science is essential to making the appropriate investments in both. Each has different boundaries and potential applications that can be revolutionary for businesses in the 21st century.(read
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View : 243 Times
Category : General
