How is AI impacting the healthcare industry?

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.

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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.

Live Streaming is Replacing Traditional Media

Even if live streaming has been around for many years, it experienced a tremendous acceleration during the pandemic as people spent on average 30% more time engaging with their smartphones and media devices.

As technology and media consumption remains higher than pre-covid levels, the success of Live Streaming is growing on a global scale. One of the sectors in which it has been more successful is e-commerce: E-commerce consumption accelerated by three years during the pandemic, and the increased competition in the virtual space worked as a catalyst, pushing companies to improve their users’ online experience and catch their attention.

Chinese tech giant Alibaba was the pioneer of Live Streaming in e-commerce. Through the Live Streaming platform Taobao, Alibaba created a new personalized shopping experience, connecting companies with roughly 800 million monthly users who visit Alibaba’s e-commerce site. Taobao’s range of products available in live streaming has been growing massively and the platform is expanding its offer to those categories previously available only offline, such as cars and large appliances.

Live streaming has also become a key feature in the social media landscape. With 2.6 billion downloads, 1.6 billion worldwide users (including Duoyin), and 800 million monthly active users, TikTok is one of the fastest-growing social media platforms ever. What makes TikTok unique is its AI algorithm. Once a video is uploaded on the platform, the AI algorithm uses Natural Language Processing (NLP) to analyze and categorize the video – including audio, hashtag, and images, which allows TikTok to provide users with highly targeted content that they find most interesting. In this way, TikTok’ content can engage its new users for up to 10 minutes, which is three times the capability of Instagram.

Another example is the Amazon-owned platform Twitch, which hosts 91% of all video game streaming and provides the content of more than 4 million broadcasters, monthly. In a high-competitive video games landscape, Twitch differs for the “Just Chatting” category: Streamers can engage with the community and talk to viewers even when they are not playing any game. To understand the impressive growth of the platform, consider that Twitch peaked at around 1.7 billion hours watched in November 2020, versus Facebook’s all-time-high of 250 million in September.

The live streaming market can become the largest entertainment medium. As reported by TechJury, the global live streaming market is surpassing the traditional media ecosystem - such as TV or social media- and it is expected to be worth over $247B by 2027. The growth trajectory is supported by a secular shift in consumer habits, considering that 63% of people aged 18-34 watch live streaming content regularly.

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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.

From Work Automation to RPA: A Revolution in the Digital Workers’ Era

In recent years the level of interest in the Robot-as-a-Service ecosystem has increased together with the acceleration of digitalization worldwide. Compared with Traditional Automation, where a machine’s software is programmed and updated by humans to execute specific repetitive tasks, Robotic Process Automation (RPA) is run by an Artificial Intelligence-powered software that allows a machine to autonomously learn and mimic user’s actions and subsequently execute a high volume of repetitive tasks and transactions, with limited human interaction.

RPA is bringing organizations into a new automation era. Digital robots can do a wide range of tasks in a faster and more efficient way than humans. At the same time, with a higher degree of accuracy, they help organizations to reduce workflow costs while improving productivity.

UiPath is among the fastest-growing RPA software Companies in the world. The company developed a high-scale automation software solution for enterprises which operate in different sectors – such as healthcare, finance, or manufacturing, to help them automate repetitive and boring office tasks: By combining different capabilities of AI, Machine Learning, and Deep Learning, the UiPath RPA system can save organizations million-hours of work office and allow employees to be focused on more important things to do.

Another example is Nintex, a global management and automation system developer which provides companies with an RPA bot to control and orchestrate workflows through a simple web interface. Nintex RPA software uses “digital workers” to perform actions similar to human workers, but non-stop, at a higher speed, and without errors, by replicating the same mouse clicks performed by humans. In summary, tasks delegated to the RPA bot interact with apps, systems, websites, and services, allowing people to focus on more relevant aspects of their job.

RPA represents a fast-growing segment as businesses need automated technology to interact more efficiently with their customers and process complex, data-hungry tasks in a faster and more efficient way. According to Gartner, the RPA industry is expected to grow at double-digit rates through 2024. The addressable market is huge, as RPA could disrupt data collection, data processing and predictable physical activities which collectively represent $1.3tn in wages in the US and 51% of time spent in US jobs. As an example, 70% to 80% of both front and back-office processes could be automated in the future.

Of course, human employee performance continues to be critical for the correct functioning of business operations. But RPA is going to be a key component to automate time-consuming processes, limit repetitive tasks, enable quick data entry, and ultimately provide a competitive advantage in the marketplace.

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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.