A foreword by Dr Kampakis
It has been a busy summer at The Data Scientist. The AI craze is heating up. It’s just difficult for most to track everything going in the world of data science and AI right now. A hot topic right now is how organisations can take advantage of the new AI developments at the cultural level. At the same time, conversations around AI ethics and general AI are heating up. And finally, I have a big announcement around my third book!
We hope you are going to enjoy this month’s newsletter!
How can organisations become data driven?
In today’s rapidly evolving world, data has become the lifeblood of successful organizations. Cultivating a data-driven culture is essential for businesses to stay competitive and make informed decisions.
This was the main topic covered on the podcast between Dr Clif Lewis and I. You can find the podcasts below.
📍Podcast: AI and organisational culture with Dr Clif Lewis (Episode 1)
📍Podcast: AI and organisational culture with Dr Clif Lewis (Episode 2)
Fostering this culture comes down to a few key points such as: 💪🌱
📌 Establish a clear vision: Communicate the importance of data-driven decision-making, driving growth, efficiency, and customer satisfaction. 🌟
📌Ensure data accessibility: Democratize data with user-friendly tools for all employees to analyze. 🚀💻
📌Promote data literacy: Invest in training to interpret data and draw meaningful insights. 📚🤓
📌 Establish data-driven KPIs: Align metrics with objectives that drive the overall strategy. 📈🎯
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AI ethics and General AI
AI ethics is crucial to ensure that AI is developed and used responsibly, addressing potential biases and avoiding harmful consequences. General AI, if achieved, could revolutionize industries, but it also demands careful consideration of ethical principles to safeguard against potential risks and ensure its positive impact on society.
I had the chance to embark on a very interesting conversation recently with Josh Bachynski about general AI and AI ethics. You can watch the full podcast below!
The Future of Data Science in 2023
Does Data Science have a future in the world of AI? Not only in does, but the future looks bright!
In this article we are exploring some key trends dominating the current data science landscape, such as: 🤖 AI and Machine Learning, 📈 Big Data and Cloud Computing, 🔒 Data Privacy and Security, 🌐 NLP , 🤝 AI Ethics
and 🔢 AutoML.
Are you ready to level up your skills and dive into the exciting world of machine learning? 🚀
If you are interested in pursuing a career in AI or becoming a data scientist then the Beyond Machine Programme may be exactly what you need.
Here’s what George, who went through BM and is pursuing a career in data analytics has to say about our program.
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Other News:
🤖📊 Exciting developments in AI, data science and tech are constantly emerging! Here are three recent news articles published this month that caught my attention:
📰 Are Embedded And Federated Machine Learning The Future Of The AI Industry?– “These revolutionary technologies are poised to redefine our interaction with AI, and their integration across varied sectors is only set to accelerate.” (Forbes)
📰 How to Train Generative AI Using Your Company’s Data- “Leveraging a company’s proprietary knowledge is critical to its ability to compete and innovate, especially in today’s volatile environment. Organizational innovation is fueled through effective and agile creation, management, application, recombination, and deployment of knowledge assets and know-how.” (Harvard Business Review)
📰How does ChatGPT decide what to say next? Here’s a quick explainer– “ChatGPT and other chatbots driven by artificial intelligence can speak in fluent, grammatically sound sentences that may even have a natural rhythm to them.” (Business Insider)
Data Science, AI, Blockchain and Tokenomics
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