Excited for Blackstone to launch a new content series, Pattern Recognition, which features insights on the economy, global markets, and the trends we see shaping our investment themes. Check out this chart, detailing the explosive growth in data driven by cloud computing, content creation and the AI revolution, which we’re seeing is driving demand for data centers in our portfolio and elsewhere. As I’ve mentioned in my recent essay, it’s natural to think of AI as an esoteric, abstract concept; a form of intangible software. In reality, real world data centers anchor AI.
The world is producing more #data than ever. Research shows that in just one minute, we generate: 🔎 5.9 million Google searches 📱 16 million text messages ▶️ 1 million hours of streamed video All that data needs to be stored, which is why we’re seeing increasing demand for data centers in our portfolio and elsewhere. Our new series, Pattern Recognition, explores trends we’re watching through charts and data – link in comments to explore more. #AI #datacenters
This #data is quite revealing
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Moving extracellular vesicles from bench to bed. Speaker on issues of commercialisation of extracellular vesicles in Tx/Dx space. Helping Global Biotech, Pharma, and Life Science Organizations
1yAn impressive chart that underscores the phenomenal growth of data driven by cloud computing, content creation, and the AI revolution. However, it's crucial to distinguish between 'real', actionable data and superfluous information or data clutter. This is particularly critical in the scientific domain where the sheer volume of research results can be overwhelming. The challenge of reproducibility and the issue of fraudulent data pose significant questions about the influence of such 'erroneous' data on decision-making processes. Similarly, in the realm of AI, particularly with models like GPT-3, we must remain cognizant of their tendency to generate information based on patterns rather than factual accuracy. Successfully navigating this complex data landscape to ensure the integrity of data-driven decisions is a challenge that should not be overlooked when leveraging the full potential of AI and data-centric investments.