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Why do we need changes?
“It is not the strongest, smartest, or most beautiful who survive, but the most adaptable. This is a conclusion drawn from Charles Darwin’s theory of natural selection, 1809-1882.”
In 2024, a significant portion of healthcare technology incorporates AI, with estimates suggesting that around 60-70% of healthcare organizations have integrated AI into their operations. This includes applications in diagnostic imaging, patient communication, clinical documentation, and administrative tasks. The adoption of AI in healthcare continues to grow as organizations seek to enhance efficiency, improve patient outcomes, and streamline processes (Tech Healthcare)(OncLive) (Tech Healthcare) (Tech Healthcare).
Algorithmic trading has grown significantly since 2000, with its share in equity markets rising from less than 10% to around 70% by the end of the decade. Technological advancements in AI and machine learning have further enhanced trading strategies, making them faster and more sophisticated. High-frequency trading has improved market liquidity and reduced bid-ask spreads. The future of algorithmic trading looks promising with ongoing developments in AI and quantum computing, offering greater efficiency and adaptability (Wikipedia) (QuantInsti Blog) (THE ROBUST TRADER) (Analyzing Alpha) (QuantInsti Blog).
From 2000 to 2024, the global data volume has experienced exponential growth. In 2000, the world generated around 54.5 exabytes of data. This figure increased dramatically over the years, reaching approximately 2 zettabytes (2,000 exabytes) by 2010. By 2020, the volume had surged to 64 zettabytes, and it is projected to reach 181 zettabytes by 2025(Rivery) (IDC).