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Data Science in Pharmaceutical Industry [Use Cases + Examples]

Knowledge Hut

The pharmaceutical industry is one of the most innovative and competitive industries in the world. The pharmaceutical industry according to report has made a jump from $40 billion in 2021 to an expected $130 billion in 2030, with projections hitting $450 billion by 2047. which help improve decision-making processes.

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What is Machine Learning and Why It Matters: Everything You Need to Know

Knowledge Hut

It means a computer or a system designed with machine learning will identify, analyse and change accordingly and give the expected output when it comes across a new pattern of data, without any need of humans. It means computers learn and there are many concepts, methods, algorithms and processes involved in making this happen.

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Top 12 Data Science Case Studies: Across Various Industries

Knowledge Hut

Data scientists have been using data science techniques to solve challenging real-world issues in healthcare, agriculture, manufacturing, automotive, and many more. For this purpose, a data enthusiast needs to stay updated with the latest technological advancements in AI.

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10 Real World Data Science Case Studies Projects with Example

ProjectPro

To analyze this humongous amount of data, Walmart has created 'Data Café,' a state-of-the-art analytics hub located within its Bentonville, Arkansas headquarters. The Walmart Labs team heavily invests in building and managing technologies like cloud, data, DevOps, infrastructure, and security.

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Artificial Intelligence (AI) vs Automation: What’s the Difference?

Knowledge Hut

Automation is the application of technologies and machines to redundant tasks previously performed by humans or to those otherwise beyond human scope. Automation uses technologies and machines to carry out rule-based, redundant, and repetitive tasks with zero to little human involvement. What is Automation? Let’s see how.

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Data Science Jobs in the US in 2023 [Steps to Land One]

Knowledge Hut

Science and technology are advancing by leaps and bounds, enabling us with more accurate methods and instruments to analyze data faster. The modern modalities of data science use novel tools designed using centuries-old mathematical principles. It involves complex calculations applied to data collected and refined to conclude.

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Data Science vs Artificial Intelligence [Top 10 Differences]

Knowledge Hut

Experts have also suggested that, by the year 2030, AI and Data Science will see a 31.4 The field of Artificial Intelligence has seen a massive increase in its applications over the past decade, bringing about a huge impact in many fields such as Pharmaceutical, Retail, Telecommunication, energy, etc.