The AI & Data Digest - #3
🌐 The AI & Data Digest 🌐
Hi everyone and welcome back to the 3rd edition of the AI & Data Digest. Also, welcome to our new subscribers who started following us in the last week. We hope you enjoy the read!
So, let’s get straight to your essential roundup of this week's top news, insights, and opportunities in AI, data, and digital transformation.
📅 Welcome to Your Weekly Intelligence Brief!
It’s been a big week for all things AI & Data. Let’s start with our 10 BIG weekly news beats you might have missed!
📰 Top 10 News Beats This Week:
➡ 𝗢𝗽𝗲𝗻𝗔𝗜 𝗟𝗮𝘂𝗻𝗰𝗵𝗲𝘀 𝗚𝗣𝗧-𝟰𝗼 – Enhanced version of GPT-4, now free for all ChatGPT users, boasting improved speed and multimodal capabilities. 🆓💡
➡ 𝗚𝗲𝗺𝗶𝗻𝗶 𝗕𝗿𝗲𝗮𝗸𝘀 𝗡𝗲𝘄 𝗚𝗿𝗼𝘂𝗻𝗱 𝘄𝗶𝘁𝗵 𝗙𝗮𝘀𝘁𝗲𝗿 𝗠𝗼𝗱𝗲𝗹𝘀 – Google DeepMind introduces Gemini 1.5 Flash and Project Astra, revolutionising AI assistants. 🚀
➡ 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁'𝘀 𝗔𝗜 𝗔𝗺𝗯𝗶𝘁𝗶𝗼𝗻𝘀 𝗷𝗲𝗼𝗽𝗮𝗿𝗱𝗶𝘀𝗲 𝗜𝘁𝘀 𝗖𝗹𝗶𝗺𝗮𝘁𝗲 𝗚𝗼𝗮𝗹𝘀 – Microsoft's AI focus escalates energy demands, complicating its carbon negative pledge. 🌍⚡
➡ 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰 𝗦𝗻𝗮𝗿𝗲𝘀 𝗜𝗻𝘀𝘁𝗮𝗴𝗿𝗮𝗺 𝗖𝗣𝗢 – Mike Krieger joins Anthropic to spearhead product development amid intense AI competition. 🔥
➡ 𝗞𝗼𝗿𝗲𝗮 𝗮𝗻𝗱 𝗕𝗿𝗶𝘁𝗮𝗶𝗻 𝘁𝗼 𝗖𝗼-𝗵𝗼𝘀𝘁 𝗔𝗜 𝗦𝘂𝗺𝗺𝗶𝘁 – AI Seoul Summit to discuss global AI safety and sustainability with leaders from 19 countries. 🌐🤝
➡ 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 𝗩𝗲𝗻𝘁𝘂𝗿𝗲𝘀 𝗜𝗻𝘃𝗲𝘀𝘁𝘀 𝗶𝗻 𝗠𝗲𝘁𝗮𝗽𝗹𝗮𝗻𝗲 – Strategic investment to enhance data quality and reliability in Snowflake's Data Cloud. 💧📊
➡ 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 𝗔𝗱𝗱𝘀 𝗡𝗲𝘄 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝘁𝗼 𝗔𝗜 𝗦𝘂𝗶𝘁𝗲 – General availability of vector search to improve generative AI model accuracy. 📈
➡ 𝗧𝘂𝗿𝗻𝗶𝗻𝗴 𝗗𝗲𝗰𝗲𝗮𝘀𝗲𝗱 𝗟𝗼𝘃𝗲𝗱 𝗢𝗻𝗲𝘀 𝗶𝗻𝘁𝗼 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 – HereafterAI creates AI chatbots from loved ones' memories, part of a growing "grief tech" sector. 💔🤖
➡ 𝗠𝗲𝘁𝗿𝗼 𝗕𝗼𝗼𝗺𝗶𝗻'𝘀 '𝗕𝗕𝗟 𝗗𝗿𝗶𝘇𝘇𝘆' 𝗠𝗮𝗿𝗸𝘀 𝗦𝗮𝗺𝗽𝗹𝗶𝗻𝗴 𝗠𝗶𝗹𝗲𝘀𝘁𝗼𝗻𝗲 – AI-generated sample in music production simplifies rights management and lays the way to revolutionise sampling. 🎵🤯
➡ 𝗔𝗪𝗦 𝗔𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝘀 €𝟳.𝟴 𝗕𝗶𝗹𝗹𝗶𝗼𝗻 𝗜𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁 𝗶𝗻 𝗦𝗼𝘃𝗲𝗿𝗲𝗶𝗴𝗻 𝗖𝗹𝗼𝘂𝗱 – Major investment in Germany to boost digital sovereignty and infrastructure. 🇩🇪💪
🧠 My Insights:
Several weeks back I reshared a blog that I drafted just over a year ago, which garnered over 5000+ views. In the piece, I discussed 𝗦𝗲𝘁𝘁𝗶𝗻𝗴 𝗔𝗻 𝗔𝗰𝗰𝗲𝗽𝘁𝗮𝗯𝗹𝗲 𝗨𝘀𝗲 𝗣𝗼𝗹𝗶𝗰𝘆 𝗳𝗼𝗿 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗶𝗻 𝗬𝗼𝘂𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀. At the time, I hadn’t tracked the level of interest it had generated (pun intended). Much of the content still seems super relevant, so I wanted to re-share it with you all this week.
On Monday, I drafted a blog where I covered 50+ Questions To Build Your Data Strategy Around. In the piece, I emphasised the importance of defining the "why" behind any organisation's data strategy, aligning them with concrete business goals to create tangible value.
Finally, in honour of the release of OpenAI’s GPT-4o model I published a blog which discussed how it can be harnessed across four sectors. Namely; Financial Services & Insurance, Fast-Moving Consumer Goods (FMCG), Energy & Utilities, and Automotive & Manufacturing in order to make use of its natively multimodal capabilities. I shared potential use cases for voice, text, and image channels within each industry. In all, I provided a list of 36 use cases across these 4 sectors. You can read the blog here: 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗚𝗣𝗧-𝟰𝗼: 𝟯𝟲 𝗖𝗿𝗼𝘀𝘀 𝗦𝗲𝗰𝘁𝗼𝗿 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀.
📔 Guest Blog:
Last week, I shared our first guest blog in the form of Euan Wielewiski’s piece about the concentration of power around LLM’s and their ownership across a small pool of trusted providers. This week, I have included a piece by Michael Spencer, where he discusses the evolution and potential of 𝗔𝗜 𝗧𝗼𝗼𝗹𝘀 𝘁𝗼 𝗕𝗼𝗼𝘀𝘁 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆, particularly in enterprise and SMB contexts. I found this a really helpful read and would recommend it to any organisation considering how best to deploy AI tooling in their businesses in order to explore ways in which they can boost productivity across their organisation.
🚀 Success Stories:
Check out these three stories that highlight how AI is being deployed across sectors to solve complex problems and open up new opportunities for efficiencies across the world.
📅 Upcoming AI Events in London This May:
📅 Generative AI Summit 2024 - May 20, 2024, London, UK - Tottenham Hotspur Stadium
📅 AI in Finance Summit 22-23 May 2024, America Square Conference Centre
Recommended by LinkedIn
📅 AI World Congress - 30-31 May 2024, Kensington Events and Conference Centre
📅Can London Lead the World in AI? - 23 May 2024, King's College, Strand Campus
🔍 Research & Reports:
This week's featured reports include a new piece published by Databricks which covers the State of Data & AI according to 9000+ of their customers. I’ve also included a seminal piece that anybody who is interested in the Generative AI and neural network scene has to read. The paper is called “Attention Is All You Need” and was drafted in 2017 by 8 Google researchers. The paper introduces the notion of transformer models, which is something that we should all be familiar with now owing to the likes of ChatGPT, Anthropic and others! This paper has had a profound impact on subsequent advancements in NLP.
⚖️ Regulatory & Ethics Watch:
👉 Next week, Korea and Britain will co-host the AI Seoul Summit, building on the AI Safety Summit held in England last November.
Organised by Korea's Ministry of Science and ICT, the summit will feature leaders from major countries and global tech firms. The leaders' session will focus on "building on the AI Safety Summit: towards an innovative and inclusive future," while the ministers' session will address AI safety and sustainable development, with representatives from 19 countries discussing global cooperation on AI risks, including energy consumption.
The summit aims to establish safety, innovation, and inclusiveness as key goals for AI governance. I will share more on this next week as this will be a pivotal gathering for AI risk & governance. 🇰🇷🇬🇧
👉 The UK Department for Science, Innovation & Technology has issued a call for views on the cyber security of AI. The initiative aims to develop a voluntary Code of Practice and a global standard to address AI-related cyber security risks. With AI playing a crucial role in the UK economy, ensuring its secure development, deployment, and maintenance is vital. The call seeks feedback from stakeholders to help shape policy and improve AI security across all sectors. The deadline for responses is July 10, 2024.🔬
For more details, visit GOV.UK.
👉 The Archbishop of Canterbury has signed the Rome Call for AI Ethics in Rome, emphasising the need for AI to respect human dignity and benefit all individuals, not just developers. The document calls for ethical AI development to serve humanity, resist job replacement, and respect the environment. This collaborative effort involves religions, governments, and private sectors. Archbishop Justin highlighted the importance of ensuring AI advancements serve the common good and sustainable development. ⛪
🚀 Careers & Opportunities:
Head over to Otta to take a look at these 5 decent looking data, ML & AI opportunities in the UK across mid-senior level leadership roles.
➡ Job Highlight #1: Senior Model Developer: hyperexponential - Apply Here.
➡ Job Highlight #2: Lead Data Analyst: Manual - Apply Here
➡ Job Highlight #3: Machine Learning Engineer: Flo - Apply Here
➡ Job Highlight #4: Senior Data Scientist: Martee AI - Apply Here
➡ Job Highlight #5: Analytics Developer: Octopus Energy - Apply Here
🚀 This Weeks Survey:
Most technology leaders I speak with share diverse perspectives on their data monetisation strategies. Partially due to capabilities, data quality and risk appetite. Last year seemed to be about exploring possibilities and setting up initial frameworks for data quality and governance. This year, however, there's a noticeable shift towards more strategic and focused initiatives aimed at integrating data monetisation into core business processes and driving significant value.
To get a clearer picture of how different organisations are prioritising data monetisation, I've decided to conduct a survey. I invite my network and our readers to participate and share their insights. If you have 3-seconds to spare, then please take part in this week's survey to help us understand the current landscape and identify the key challenges and opportunities in data monetization.
Your input will be invaluable in shedding light on industry trends and helping us all navigate the evolving world of data-driven decision-making.
🔗 Connect With Me!
Engage with me further on these topics and more by connecting on LinkedIn and scheduling a discussion via Calendly.
👍 Like & Share
Enjoyed this newsletter? Hit like and share it within your network to help others stay on top of the latest in AI and data! Also, if you have any feedback on other bits to include, then let me know! Thanks as ever for reading!
Thank you,
Ben @ The AI & Data Digest