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.

When the Virtual and Digital worlds merge, a Digital Twin is created

An increasing number of companies are adopting a new emerging technology that allows the fusion of physical and virtual systems. The product of the fusion between these two components is called Digital Twin, a virtual representation of physical products and systems, generated through data collected from the environment. Creating a Digital Twin helps businesses to analyze more efficiently integrated sources of data and to predict how a product or system would behave in real life, enabling rapid and advanced decision making, or anticipating future risks.

An example of a successful Digital Twin application comes from the 36th America’s Cup race. Luna Rossa Prada Pirelli, in partnership with Altair, used Digital Twin technology to design, develop and optimize most of the boat’s components. Through the Digital Twin software powered by AI, Luna Rossa created a virtual representation of the boat to analyze how the AC75’s foils would impact the water, obtaining vital information on the boat’s structure and simulating how it would perform under different conditions.

Defender Emirates Team New Zealand also developed a Digital Twin in partnership with McKinsey and its subsidiary Quantum Black. Using AI and Machine Learning the team performed a vastly larger number of sailing maneuvers than a real crew could have done, in less time and processing a huge amount of data ten times faster than the normal testing process in a simulator room.

Digital Twin technology is also becoming a key component in the development of smart cities. Governments are partnering with tech companies to build a Digital Twin of physical cities to help them make better decisions in the design and development of urban areas or anticipate potential dramatic consequences from climate changes and make cities increasingly sustainable. Microsoft’s subsidiary Azure Digital Twins launched a comprehensive software solution to build digital smart cities, providing engineering companies and constructors with virtual representations of the physical spaces to help them analyzing the environment and optimizing space usage.

Accelerating technological advancements are paving the way for the adoption of Digital Twins, which are part of the most disruptive innovation cycle in the technology sector. The rise in popularity of Digital Twin technology is also supported by advancements in AI and the Internet of Things (IoT) which make it easier to collect and integrate a vast amount of data and information. According to Deloitte’s Tech Trends 2020 report, the global Digital Twin market was worth $3.8B in 2019, and it is projected to reach $35.8B by 2025, at a CAGR of more than 45%, creating an increasing number of long term investment opportunities.

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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.

Tech innovation is shaping the future of the healthcare sector

Historically driven by analog processes, healthcare activities have been significantly altered by the technology revolution. The increasing application of Artificial Intelligence (AI) systems is becoming more common in the healthcare industry and is helping healthcare businesses to be faster and more efficient.

Already pre-pandemic, about 80% of hospital leaders said cloud investments were a moderate, high, or critical priority for 2020. Going forward, the convergence of Artificial Intelligence (AI), Blockchain, and the Internet of Things (IoT) will further accelerate innovation adoption and related applications in the healthcare realm.

Technologies like Cloud computing, AI, IoT and machine learning are disrupting the health market and providing patients with new innovative services: for example, by engaging with digital providers, today patients can receive personalized medicines tailored to their specific needs, lifestyles, and genetic code, or can be visited by doctors directly through their smartphone.

Population aging around the world is another major tailwind for digital, patient-centric healthcare services. According to the World Health Organization (WHO), there were 703 million persons aged 65 years or over in the world in 2019. The number of older persons is projected to double to 1.5 billion by 2050. Technological advancements in screening processes, smartphones and wearables can bring point-of-care testing to the patients and represent a strong opportunity for providing sensitive, low-cost, rapid, and connected diagnostics.

There is increasing awareness that AI applications enable to analyze patient's health conditions and identify anomalies at a speed that humans cannot achieve, helping physicians to optimize and avoid time-consuming tasks, and reduce margins of error of diagnosis.

For example, today AI is already just as capable as (if not more capable than) doctors in diagnosing patients heart diseases, blood infections, and detect signs of potentially cancerous cellular growths. IBM’s AI program called Watson was recently challenged to analyze the genetic data of tumor cells. The human experts took about 160 hours to review and provide treatment recommendations based on their findings. Watson took just ten minutes to deliver the same kind of actionable advice.

Despite the rapid advancements in AI and machine learning in HC, we are still a long way from a total replacement of human intervention in medical processes. A research from Harvard showed that patients are reluctant to use health care provided by medical artificial intelligence even when it outperforms human doctors. The main reason is that patients believe that their medical needs are unique and cannot be adequately addressed by algorithms. For this reason, patients were less likely to utilize AI based services and wanted to pay less for it

The most likely evolution is that doctors will be supported by AI to perform repetitive tasks and increase quality of diagnosis at a fraction of time and costs. A recently developed machine-learning algorithm based on deep learning nearly matched the success rate of a human pathologist in interpreting pathology images, at about 96% accuracy. But the truly exciting thing was that combining the pathologist’s analysis the AI diagnostic method, the result improved to 99.5% accuracy,”

In summary: when it comes to healthcare, implementing AI solutions and machine learning will not necessarily mean replacing doctors, but optimizing and improving their abilities. The convergence between the healthcare industry with AI, Cloud computing, IT, and machine learning systems will further catalyze new innovative applications, providing patients with an early and accurate response to treatment and enabling healthcare organizations to reach new quality standards at a lower cost.

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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.