Data Science Talent | Newsletter Edition 4

Welcome to issue 4 of the Data Science Talent Newsletter. A monthly publication bringing you valuable Insights from the world of enterprise Data and AI.

It's been a busy, productive month, and here is the latest news! We start off with the Editor's comments and article picks.

Alberto Romero’s article – The State of Generative AI, 2024: A nuanced analysis and a glimpse of the future – April 3rd 2024

In the aftermath of the intense hype surrounding the uses of GenAI, there’s been something of a backlash. Concerns have been raised about issues such as the underwhelming amount of growth and revenue created by GenAI, and doubts about its security. But Alberto Romero’s recent article on Medium offers a more balanced perspective.?

Romero provides an excellent analysis of GenAI’s current applications, in which he makes the case for both the GenAI optimists and pessimists. Now the hype has started to dissipate, what’s next for GenAI? Citing Tyler Cowan’s prediction based on historical data, Romero considers whether the lull could be followed by a GenAI revolution.?

Romero’s article makes for fascinating reading and is a great resource for anyone embarking on a GenAI project in the current climate.?

The Lex Fridman Podcast – Yann LeCun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI – March 7th 2024

One of the latest podcasts from Lex Fridman features an interview with renowned researcher and Chief AI scientist at Meta, Yann LeCun.?

This podcast is essential listening for anyone seeking to understand the importance of the open source movement and where the industry needs to go next to get transformational value from AI systems.??

The podcast also includes an in-depth discussion about the limitations of LLMs at the current level of capability, covering issues such as primitive reasoning and hallucinations. LeCun offers his insights on what needs to happen to overcome these limitations, and he considers the potential for future LLM applications, including its role in robotics.?

The live recording of the podcast (together with a transcript) is currently available on YouTube. I highly recommend checking it out.?

Enjoy the rest of our newsletter,

AI World Congress in London?

The AI World Congress takes place in Kensington, London, on Thursday, 30th and Friday 31st May.?

Our CEO, Damien Deighan, is looking forward to speaking there again. The 2023 conference had an excellent diversity of topics and speakers, and this year's line-up is equally as strong.

In today's digital age, attending in-person events remains crucial. Face-to-face interactions are often the most effective way to forge new personal connections and gain new insights.?

You can find out more about the conference and grab the last remaining tickets here:??

The Data Scientist Magazine

The design process for Issue 7 of The Data Scientist Magazine is underway, and we have an exciting lineup of contributors for our readers. Save the date—it will be launched on 21 May 2024.

Issue 7 includes articles and case studies from various contributors and companies on a wide range of topics:

• We explore promising applications of LLMs when used in conjunction with artificial languages in the area of robotics.
• We look at how LLMs are implemented without additional layers.
• There is a superb summary of what GenAI projects fail.
• A deep dive into fraud protection across international boundaries.
• We look at an examination of data quality in algorithmic bias.
• We look at the current challenges in clinical trial data management, which directly impact the success or failure of a large number of clinical trials every year.
• Additionally, we explored which AI topics were hot on the agenda with world leaders and business leaders at Devos.
• AI constitutionalism and how that can help us ensure that future AI systems are ethical.
• We also have an excellent overview of what a leader of technology teams needs to get right in order to deliver high-performance teams.
• Finally, we provide insights into what you need to know about communicating effectively as a data professional.

The magazine is available in print and digital formats and is free to subscribe to. Below is our Issue 6; if you haven't subscribed yet, please use this link to sign up for free: SUBSCRIBE FOR FREE.

Data Science Conversations Podcast

Our Latest Articles

1. START-UP: INTERVIEW WITH TANMAIYII RAO

In the Start-Up series, we interview influential figures of data science to discover how they first broke into the industry. Tanmaiyii Rao is a Sales Engineer at Snowflake, where she specialises in enabling customers to leverage their data and realise value. Tanmaiyii’s prior roles included Customer Engineer Specialist at Google and Consultant at KPMG UK. We asked Tanmaiyii to tell us about her journey into data science, her key career decisions, and the challenges she overcame:

2. CHATGPT BY FRANCESCO GADALETA

Francesco’s professional interests are diverse, spanning applied mathematics, advanced machine learning, computer programming, robotics, and the study of decentralised and distributed systems.

In this post, Francesco takes us on a deep dive into the GPT family of models. He explores what sets GPT apart from previous LLMs and considers their limitations. While GPT models are powerful tools with huge potential, Francesco advises using them with caution:

3. WHAT IS CAUSAL INFERENCE, AND WHY SHOULD DATA LEADERS AND DATA SCIENTISTS PAY ATTENTION? BY GRAHAM HARRISON

Graham’s qualifications include an Executive MBA in Leadership and Management from the University of Nottingham and an Emeritus certificate in Applied Data Science from Columbia. In this post, Graham explores the concept of causal inference and the ways it can be used in machine learning. Causal inference, Graham argues, can have important applications for organisations in a number of ways:

We hope you enjoyed this month's Newsletter, and we look forward to seeing you next month!

Data Science Talent Editorial Team.