Data Science Insider: March 9th, 2023

In This Week’s SuperDataScience Newsletter: AI Writes News for Daily Mirror Owner. Discord Introduces AI Features. Y Combinator-Backed Patterns Simplifies Data Science. Understanding the Implications of Simpson's Paradox in Data Science. Unilever VP Says ‘Beauty Tech is the Future.’ 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. --------------------------------------------------------------- [AI Writes News for Daily Mirror Owner]( brief: Reach plc, the owner of the Daily Mirror and Daily Express, has published its first articles written using AI. The news stories were created by an ML model that was trained on the writing style of journalists from the newspapers. The technology is expected to improve productivity by generating articles faster and more efficiently than human writers. However, the company has stated that AI will not replace journalists and will instead be used to support and enhance their work. Reach plc joins a growing list of news organizations that are experimenting with AI-generated content, including the Associated Press and Reuters. The adoption of AI in journalism highlights the increasing role of technology in news production. Why this is important: The use of AI to generate news articles has potential implications for the journalism industry, including concerns over accuracy, bias, and the role of human journalists. This development highlights the need for ethical considerations and responsible implementation of AI in news production. [Click here to learn more!]( [Discord Introduces AI Features]( brief: Discord, the popular communication platform, has announced the integration of two new AI-powered features: a chatbot called Clyde and an automated moderation system. Clyde will assist users in navigating Discord's features and provide support, while the automated moderation system will use AI to detect and remove inappropriate content. The system is also designed to learn from user feedback, allowing it to improve over time. The integration of these features is part of Discord's ongoing efforts to create a safer and more user-friendly platform. The company has previously faced criticism for failing to adequately address issues such as harassment and hate speech. Discord hopes that these new features will help create a more positive experience for all users. Why this is important: Discord's integration of AI-powered features may be a PR exercise to counter previous criticisms but it will be interesting to see how user experience is altered. [Click here to read on!]( [Y Combinator-Backed Patterns Simplifies Data Science]( In brief: Patterns, a platform backed by Y Combinator, is creating a solution to simplify data science tasks. The company aims to eliminate the repetitive, time-consuming aspects of the job, allowing data scientists to focus on more complex and creative projects. The platform will use ML to automate processes such as data cleaning and feature engineering while providing a simple interface for users. The goal is to enable businesses of all sizes to access the benefits of data science without needing a large team of data scientists. This will democratise the use of data-driven insights, enabling businesses to make more informed decisions and improve performance. Patterns plan to launch a beta version of the platform later this year. Why this is important: As we’ve seen time and time again in these SuperDataScience newsletters companies want to automate things that are repetitive and time-consuming. Patterns' platform may offer a solution. [Click here to discover more!]( [Understanding the Implications of Simpson's Paradox in Data Science]( In brief: Simpson's Paradox is a statistical phenomenon in which a trend appears in several groups of data but disappears or reverses when the groups are combined. It can lead to inaccurate conclusions and should be considered when analysing data. A classic example is the difference in admission rates for men and women in a university department, where women appear to have a lower admission rate than men. However, when the data is split by department, it is revealed that women have a higher admission rate in every department. This paradox highlights the importance of looking beyond overall statistics and carefully analysing subsets of data. Data scientists must be aware of Simpson's Paradox to avoid making incorrect conclusions and ensure accurate analysis. Why this is important: Simpson's Paradox can lead to incorrect conclusions when analysing data, making it essential for data scientists, like you, to be aware of the phenomenon and carefully analyse subsets of data to ensure accurate analysis. [Click here to see the full picture!]( [Unilever VP Says ‘Beauty Tech is the Future’]( In brief: Unilever's Vice President of Open Innovation has stated that beauty tech is the future of innovation in the industry. AI, ML and quantum computing have the potential to revolutionise the development of new products and improve the customer experience. For example, AI can be used to personalise recommendations based on individual skin types and concerns, while ML can help to predict trends and consumer preferences. Quantum computing, which can process vast amounts of data quickly, could enable the discovery of new ingredients and formulations. Unilever has already invested in beauty tech, with the launch of its AI-powered skin diagnostic tool last year. The company is committed to exploring new technologies to drive innovation and meet evolving consumer needs. Why this is important: As we see every week in these newsletters, tech is revolutionising all industries. Beauty is somewhat of a late adopter but is now taking the plunge. [Click here to find out more!]( [Super Data Science podcast]( this week's Super Data Science Podcast, Vincent Warmerdam presents to Jon Krohn a recipe for a successful project and the open-source NLP tools to get there. From the awareness of linguistic elements and annotation to getting the necessary people in the room, NLP practitioners: this episode is for you. [Click here to find out more!]( --------------------------------------------------------------- What is the Data Science Insider? 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