Data Science Insider: November 3rd, 2023

In This Week’s SuperDataScience Newsletter: King Charles Urges United Action on AI Risks. Mastering Data Modeling for Startups. Shaping Reality Beyond Analysis. Data Science Boosts Mobile App Development. ‘AI’ Named Collins 2023 Word of the Year. Cheers, - The SuperDataScience Team P.S. Have friends and colleagues who could benefit from these weekly updates? Send them to [this link]( to subscribe to the Data Science Insider. --------------------------------------------------------------- [King Charles Urges United Action on AI Risks]( brief: King Charles III, in a recorded address at the UK AI Safety Summit, has emphasized the need for a united, urgent approach to address the risks associated with AI. The summit, which unveiled the groundbreaking "Bletchley Declaration," garnered support from signatories including the US, the EU, and China. King Charles equated the significance of advanced AI development to the discovery of electricity, emphasizing the importance of cross-sector conversations and cooperation, similar to efforts against climate change. The declaration, endorsed by 28 countries, underscores the imperative of collectively managing potential AI risks. Industry leaders like Elon Musk and Nick Clegg also used the summit to share their perspectives on AI's potential threats, including job displacement and bias in powerful online systems. Why this is important: King Charles' call for urgent, unified action highlights the significance of data scientists' involvement in ensuring the safe advancement of AI. Actively contributing to discussions, assessing risks, and working collaboratively across sectors to address potential challenges associated with AI is imperative. [Click here to learn more!]( [Mastering Data Modeling for Startups]( brief: In the first part of this three-part series, Paddy Alton discusses the evolution of data modeling at Apolitical over the last five years. As the company's data infrastructure matured, so did its data operation. Alton claims that the key shift was moving from ETL to ELT, where data is aggregated in a central warehouse and transformed in situ. This transformation process, known as data modeling, involves bringing together data from various sources and adapting it for business intelligence tools and ML workflows. Alton delves into the complexities, emphasizing the importance of understanding the different components like facts, dimensions, and bridges. He explains various data model schemas, including star schemas, chasm traps, and 'galaxy' schemas, highlighting the significance of conformed dimensions. Why this is important: The article also explores the concept of One Big Table (OBT) models, which offer convenience and safety for data storage. However, Alton warns of the challenges and trade-offs involved in constructing OBT models, especially in chasm schema scenarios. [Click here to read on!]( [Shaping Reality Beyond Analysis]( In brief: This Towards Data Science article explores the evolving role of data scientists, emphasizing the growing distinction between science and engineering in the industry. It challenges the conventional definition of data science, which focuses on analyzing actual phenomena, suggesting that it's increasingly becoming more about engineering reality to align with desired models and goals. The author delves into the importance of testing mental models against reality, drawing parallels with the history of science and the need for data scientists to validate their models with data. Furthermore, the article highlights the impact of data scientists on shaping desired outcomes and behaviour, making them akin to engineers who design models that influence reality. Why this is important: Understanding the dual role of data scientists as both analysts and engineers helps data scientists design more effective models and appreciate the broader impact of their work on the organizations and systems they serve. [Click here to discover more!]( [Data Science Boosts Mobile App Development]( In brief: Data science is a pivotal component in mobile app development, employing various techniques and ML to enhance the quality of applications. Data scientists collaborate closely with app developers, contributing to data processing, model development, and deployment. This article from Analytics Insight highlights how data science benefits developers by understanding user expectations, offering insights into demographics and behaviours, aiding in the optimization of designs and functionalities, and identifying areas for improvement. With programming skills and data-driven approaches, data scientists fine-tune models and algorithms, ensuring user-centric mobile apps. Additionally, data science acts as a detective, addressing hidden issues through user data analysis, real-time tracking, and performance monitoring, ultimately keeping apps updated post-launch. Why this is important: For data scientists, like you, understanding your role in mobile app development is crucial as it highlights your multifaceted contributions, from optimizing user experiences to addressing hidden problems. [Click here to see the full picture!]( [‘AI’ Named Collins 2023 Word of the Year]( In brief: Collins Dictionary has named "AI" as the most notable word of 2023, reflecting its rapid acceleration and dominant presence throughout the year. Defined as "the modelling of human mental functions by computer programs," its use has quadrupled over the past year. It was chosen from a list of new terms, including "greedflation," "nepo baby," and "deinfluencing," mirroring our evolving language and societal concerns. Lexicographers selected the word by monitoring various sources, including social media. Collins’ managing director. Alex Beecroft, said “We know that AI has been a big focus this year in the way that it has developed and has quickly become as ubiquitous and embedded in our lives as email, streaming, or any other once futuristic, now everyday technology.” Why this is important: The recognition of "AI" as the word of the year reaffirms the field's growing significance across the whole of society where AI has become a ubiquitous and integral part of daily life. [Click here to see the full picture!]( [Super Data Science podcast]( In this week's [Super Data Science]( Podcast episode, coded bias, intersectionality in AI, and computer vision take center stage as founder of the Algorithmic Justice League Joy Buolamwini talks to host Jon Krohn about the impact of exclusion and inclusion in datasets, the need to address intersectionality when identifying racial, age, or gender-based prejudice in machine learning tools, and the role that AI may have in combating systemic racism. [Click here to find out more!]( --------------------------------------------------------------- What is the Data Science Insider? This email is a briefing of the week's most disruptive, interesting, and useful resources curated by the SuperDataScience team for Data Scientists who want to take their careers to the next level. Want to take your data science skills to the next level? Check out the [SuperDataScience platform]( and sign up for membership today! Know someone who would benefit from getting The Data Science Insider? Send them [this link to sign up.]( # # If you wish to stop receiving our emails or change your subscription options, please [Manage Your Subscription]( SuperDataScience Pty Ltd (ABN 91 617 928 131), 15 Macleay Crescent, Pacific Paradise, QLD 4564, Australia