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In the wake of the pandemic, the demand for better healthcare services is rapidly increasing. A smart hospital refers to a combination of artificial intelligence, cloud technology, and connected devices utilized to enhance patient’s care services and optimize hospital’s workflows. The objective is to create a connected ecosystem to provide patients with the best experience while allowing hospitals to increase their operational efficiency.


Healthcare startup Subtle Medical has developed a deep learning-based application which enhances images during the acquisition phase of the radiology workflow and improve hospital's productivity by reducing work hours for diagnosis. The company uses NVIDIA’s Graphics Processing Unit (GPU) to improve PET image quality and shortening the image recognition pipeline, from 10 minutes to 10 seconds per patient.


Intel also uses AI based applications to make healthcare services more personalized, connected, and smart. Through Natural Language Processing (NLP), Intel is accelerating the development of telemedicine: In the next years for doctors, it will be normal to visit a patient remotely or to keep automatically note of a visit, uploading it directly into the Cloud. The combination of Telemedicine and AI will help smart hospitals to systematically analyze patients’ real-time data and to respond quickly to emergencies, as AI software can analyze data quicker than humans and more rapidly identify medical issues before they become calamitous.


Also, tech giant Apple is working with hospitals to make it easier for patients to share information with their doctors: Through the Apple Watch, people can share their health data with doctors and keep these recorded in a dashboard accessible through the app. Apple collaborates with many institutions to establish the clinical accuracy of Apple Watch features by continuously upgrading its software and technology, showing that the cardiac metrics it monitors is as good as clinical tests.


Smart hospitals are disrupting the healthcare industry. As reported by MarketWatch, the smart hospital market is expected to be around $77.80B by 2026, growing at a CAGR of 23.5% over the forecasted period. Technology can enrich people’s lives, and AI – including machine learning, deep learning, etc.- plays a critical role to reach this goal. By combining innovative infrastructure and smart technologies, it will be possible to create a metaverse where patients' health can be constantly kept under control and hospitals can respond quicker than ever to emergencies providing more personalized treatments.


 

The information in this article should not be regarded as a description of services provided by Delian Partners SA. The opinions expressed in this article are for general informational purposes only and are not intended to provide specific advice or recommendations for any individual or on any specific security or investment product. It is only intended to provide education about the financial industry. The views reflected in this article are subject to change at any time without notice.

2021 so far is showing an acceleration of the strong growth trend in Digital Advertisement. As businesses re-open worldwide and previously canceled campaigns are resumed, advertisement budgets have been increasingly directed towards Digital Ad because the use of social media platforms and streaming services have risen almost everywhere.



Digital vs. Traditional Ad Spending (US)

Source: eMarketer


Not surprisingly, the main beneficiaries in the Digital Ad ecosystem are Alphabet, Facebook, and Amazon, which all reported strong growth in Ad revenue in 2020. Among these, Alphabet continues to dominate the Digital Ad market: In 2020, Google accounted for about 29% of the total Digital Ad revenue in the US, followed by Facebook and Amazon with 25.2% and 10.3% respectively.



US Digital Ad Revenue Share, By Company, 2019 & 2020

% of Total Digital Ad spending


Source: eMarketer


Google built its success in Digital Ad by leveraging AI software to collect and integrate data from users in a more sophisticated and faster way. While Google’s platforms connect businesses with billions of people every day through Search and YouTube, AI helps them to create highly tailored content based on consumers’ needs and preferences of the moment.

With an impressive 1.87 billion daily active users in 1Q21, Facebook can count on one of the largest and most diverse advertising audience ever and collect a huge amount of data for the benefit of advertisers. Facebook also introduced innovative features to its Ad service: The use of Machine Learning helps determine the likelihood that a given user will act as the advertiser wants, such as visiting the advertiser’s website, installing their app, or buy a product. And then, the algorithm will rank the quality of Ad content through an Ad quality score so that the advertiser can fix the campaign following the best way to achieve his goals.

In recent years, Amazon’s Ad business also experienced a tremendous growth, mainly fueled by the acceleration of online shopping: According to EMarketer, Amazon advertising revenue in the US will surpass $20B in 2021. To keep up with the competition, the e-commerce giant also implemented an AI driven algorithm which analyzes real-time data generated by shoppers’ behavior, allowing advertisers to provide specific content to a narrowly targeted audience.


Digitalization is changing consumers’ behavior and companies must be increasingly data-driven to be able to communicate with people who spend more time navigating through the Internet while scrolling social media, checking emails, or reading the news. Digital Ad is becoming mandatory for companies to attract new customers and build a relationship with their brand.



 

The information in this article should not be regarded as a description of services provided by Delian Partners SA. The opinions expressed in this article are for general informational purposes only and are not intended to provide specific advice or recommendations for any individual or on any specific security or investment product. It is only intended to provide education about the financial industry. The views reflected in this article are subject to change at any time without notice.


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