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Consulting Experience and Its Relevance to Data Science
iPhone 16 demand so weak that employees can already buy it on discount
Welcome to learning edition of the Data Pragmatist, your dose of all things data science and AI.
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š iPhone 16 demand so weak that employees can already buy it on discount LINK
Apple employees are already allowed to buy the iPhone 16 at a discount, which usually occurs weeks after a new iPhone release, indicating weaker early demand for the iPhone 16.
In its debut weekend, Apple sold about 37 million iPhone 16 units, which is a nearly 13% decrease from the previous year's initial iPhone 15 sales.
Demand for the iPhone 16 Pro series has been lower than anticipated, partly due to the delayed release of Apple Intelligence features, which are not available at launch.
š§¬ Scientists store human genome on crystal which can last billions of years LINK
Scientists at the University of Southampton have successfully stored the entire human genome sequence onto a virtually indestructible 5D optical memory crystal no larger than a penny.
These 5D memory crystals, created using ultra-fast lasers to inscribe data within "nanostructured voids" in silica, promise unprecedented data density and can endure temperatures of up to 1,000Ā°C, cosmic radiation, and immense physical impacts.
Researchers aim for these eternal crystals to preserve genetic blueprints for future reconstruction of organisms, potentially aiding in the revival of endangered species or even humans long after extinction events.
š§ Consulting Experience and Its Relevance to Data Science
Consulting experience can significantly benefit data scientists by providing them with crucial soft skills that go beyond technical abilities. Key skills include breaking down complex business problems into smaller, actionable analyses and making impactful decisions quickly. These skills help deliver results efficiently, even when time or resources are limited.
Key Benefits of Consulting for Data Scientists
Efficient Learning and Impact Delivery:
Consultants excel at learning about an area quickly due to time constraints. This involves asking the right questions, addressing short-term gaps, and converting them into long-term solutions. They frequently apply the 80/20 ruleāachieving 80% of the impact with 20% of the effort.Developing Full-Stack Skills:
In consulting, data scientists often need to take on multiple rolesādata engineering, business analysis, and model building. This "full-stack" approach sharpens their ability to deliver end-to-end solutions and collaborate effectively with cross-functional teams.Big-Picture Thinking and Communication:
Consultants frequently interact with C-level executives, honing their ability to communicate complex findings clearly and succinctly. This experience helps data scientists convey key insights and maintain a high-level perspective, which is crucial for decision-making.
Frameworks for Structured Thinking
MECE Framework:
MECE (Mutually Exclusive and Collectively Exhaustive) ensures problems are broken down without overlap or gaps, providing comprehensive coverage.Issue and Hypothesis Trees:
These tools help break down large issues into smaller problems and test hypotheses in a structured way, ensuring nothing is overlooked.2x2 Matrix:
This simple framework helps categorize projects or decisions across two dimensions, aiding prioritization and focus.Minto Pyramid:
A communication framework that emphasizes presenting conclusions first, followed by supporting arguments and evidence, ensuring clarity and focus.
Overall, structured thinking through these frameworks enhances a data scientist's ability to solve problems efficiently and communicate effectively.
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