Machine Learning for Finance in the United Kingdom - Current Applications

Machine Learning for Finance in the United Kingdom – Current Applications

We previously covered the top machine learning applications in finance, and in this report, we dive deeper and focus on finance companies using and offering AI-based solutions in the United Kingdom. The UK government released a report showing that 6.5% of the UK's total economic output in 2017 was from the financial services sector. As of now, numerous companies claim to assist financial industry professionals in aspects of their roles from portfolio management to trades.

AI and Machine Learning for Clinical Trials - Examining X Current Applications

AI and Machine Learning for Clinical Trials – Examining 3 Current Applications

The clinical trial is a foundational pillar of the pharmaceutical drug discovery process. Essentially, clinical trials are research studies which seek to determine if a medical treatment or device is safe and effective for humans. While the pharmaceutical drug industry has experienced some fluctuations it remains a profitable market. Global prescription drug expenditures are estimated to reach nearly $1.5 trillion by 2021 according to Quintiles IMS Holding.  

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How Machine Learning Will Become Accessible to Small Businesses

Most AI solutions are not for small businesses, but they will be over time. I decided to put together an understanding of where AI solutions are now and how they will eventually become accessible to small businesses.

Artificial Intelligence for Video Search and the YouTube of the Future

Machine Learning for Video Search and Video Education – How it Works

Episode Summary: AI, specifically natural language processing, has made it easier to understand text as a medium in a deeper, more efficient way and at scale. With video, the situation is quite different. AI is already being used to help industries that work in the video medium. However, searching for content within videos is more challenging because video is not just voice and sound, it is also a collection of moving and still images on screen. How could AI work to overcome that challenge?

Machine Learning for Nursing - 8 Current Applications

Machine Learning for Nursing – 8 Current Applications

With an ongoing nurse shortage in the United States and other areas, startups and global companies have begun developing methods for handling time-consuming responsibilities traditionally held by nurses, ranging from daily operations to diagnosis.

Machine Learning for Marketing Agencies - Current and Future Applications

Machine Learning for Marketing Agencies – Current and Future Applications

A collaborative report by Moore Stephens and WARC estimated the size of the martech industry around $34.3 billion dollars in 2018. It follows that AI would find its way into the marketing world. Marketing experts agree that AI will have a significant impact on the marketing world in the coming years. As of now, numerous companies claim to assist marketers in aspects of their roles from garnering insights from dashboards to automating spend on ad networks.

The Future of Advertising and Machine Learning - Audience Targeting, Reach, and More

The Future of Advertising and Machine Learning – Audience Targeting, Reach, and More

Episode Summary: Facebook and Google’s advertising complex is founded on machine learning, allowing people to self-serve their data needs across a broad audience. India-based InMobi is a company in the advertising technology space that delivers 10 billion ad requests daily.

Machine Learning for Credit Card Fraud - 7 Applications for Detection and Prevention

Machine Learning for Credit Card Fraud – 7 Applications for Detection and Prevention

In 2015, fraud losses on credit, debit, and prepaid cards issued worldwide reached $21.84 billion, according to a Bloomberg report. By 2020, Bloomberg predicts that this could grow by a rate of 45 percent.

Data Mining Medical Records with Machine Learning - 5 Current Applications

Data Mining Medical Records with Machine Learning – 5 Current Applications

According to data from the U.S. Department of Health and Human Services, the progress of the value-based healthcare delivery system in the U.S. — a provider payment model based on patient outcomes — has run almost parallel to the significant implementation rate of electronic health records/electronic medical records (EHR/EMR).

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Machine Learning in Investment Management and Asset Management – Current Applications

Asset and wealth management firms are exploring potential AI solutions for improving their investment decisions, and making use of their troves of historical data. In fact, according to our AI Opportunity Landscape research into the banking industry specifically, approximately 13.5% of the AI vendors in banking offer solutions for wealth and asset management.