🌟 2024 Highlights
- 1.8M+ of You Reached 🫴🏻
- 50+ Stories Published ✍🏻
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- 900+ Times You Added Us On Public Reading Lists 🔖
Modern Data 101 2024 Wrapped is here 📊✨ and what a year it's been for innovation in Data! Thank you for being part of an amazing year, here's to a 2024 that we'll remember 💐
🎙️ Featuring Abhinav Singh, Expert Data Engineer and Mentor, on Episode 4 of Analytics Heroes! 🚀
This week, we host Abhinav — a seasoned data engineer with 5+ years of experience across real estate, telecom, and insurance.
🔗 Listen here: https://t.co/ss8RFGaQCd
Discover a curated selection of top-notch data resources on the MD101 community website's resources page.
Modern data resources: https://t.co/5j6Gk7qO2F
Check the for this week's top picks!
𝐖𝐡𝐲 𝐛𝐨𝐭𝐡𝐞𝐫 𝐚𝐛𝐨𝐮𝐭 𝐔𝐧𝐢𝐟𝐢𝐞𝐝 𝐃𝐚𝐭𝐚 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬?
They help us 𝐝𝐫𝐨𝐩 𝐚𝐥𝐥 𝐨𝐯𝐞𝐫𝐡𝐞𝐚𝐝𝐬 on infrastructure/IT, letting data teams focus on applications & solutions that show 𝐦𝐨𝐫𝐞 𝐢𝐦𝐦𝐞𝐝𝐢𝐚𝐭𝐞 𝐯𝐚𝐥𝐮𝐞.
Hey All 👋
Modern Data 101 newsletter is here. This edition delves into the topic: Data Leadership Extends Beyond Core-Data Professionals.
Read the entire blog here: https://t.co/D9SjSuq4s8
🌟Data Expert of the Week: 𝐀𝐫𝐢𝐞𝐥𝐥𝐞 𝐑𝐨𝐥𝐥𝐚𝐧𝐝!🌟
Meet Arielle — a Data & AI strategy expert, data community champion, philanthropist, and avid runner & cyclist. She excels in seamlessly balancing all these roles.
Checkout his profile here: https://t.co/hU59dlNk4v
Experts predict advances in AI reasoning, agility, and intelligence, driven by contextual maps. Semantic Layers, knowledge graphs, and governance models play a key role in enabling smarter, context-aware AI.
Imagine if AI could seamlessly connect dots like "flies like a bird" and "gives birth like a mammal" to understand what makes a bat unique. Sounds futuristic? It’s closer than you think!
𝐓𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬: 𝐌𝐨𝐫𝐞 𝐀𝐝𝐚𝐩𝐭𝐢𝐯𝐞, 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐅𝐥𝐞𝐱𝐢𝐛𝐥𝐞
With the AI agent market projected to soar from $5.1 Bn in 2024 to $47.1 Bn by 2030 (CAGR of 44.8%), the race to smarter AI is heating up. (Forbes)
🗞 𝐀𝐧𝐧𝐨𝐮𝐧𝐜𝐢𝐧𝐠 𝐭𝐡𝐞 𝐐3 𝐄𝐝𝐢𝐭𝐢𝐨𝐧 𝐨𝐟 𝐭𝐡𝐞 𝐒𝐭𝐚𝐭𝐞 𝐨𝐟 𝐃𝐚𝐭𝐚 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐬!
The Q2 edition received a great response from the community and sparked some thoughtful conversations.
🚀Data Dynamics: Navigating the Role of Data Product Managers
Michael Toland & Chandan Gadodia chat about the critical role of data product managers discussing how data product managers differ from IT & functional product managers.
Listen to the episode: https://t.co/RS1baPzj14
🚀How to think about the ROI of data work
@mikldd introduces the concept of "Ƞ degrees," which measures a role’s proximity to impacting key performance indicators (KPIs).
Read more: https://t.co/Cd8ZwHhw4g
🚀Innovations in Analytics
Jonas Dieckmann outlines three key applications of GenAI: automating data harmonization, enabling dynamic data labeling, & generating synthetic data exploring how GenAI can improve data quality.
Read more: https://t.co/DS11o8x16o
🚀Stop Thinking in Data Pipelines, Think in Data Platforms
Oscar Pulido introduces the Analytics Engineering Framework (AEF), a standardized design for building scalable, cost-effective data platforms on Google Cloud Platform (GCP).
Read more: https://t.co/mUFeI3swhL
🚀Data as a social platform
Karin Håkansson explores the idea of treating data as a social platform to address persistent issues in data governance, such as data quality, ownership, & consumer satisfaction.
Read more: https://t.co/Mc1eQUgNiB
Discover a curated selection of top-notch data resources on the MD101 community website's resources page.
Modern data resources: https://t.co/5j6Gk7qgd7
Check the for this week's top picks!
🔄 Next Steps
Concrete actions include mapping data products on Ryan's spectrum, applying the measurement framework, and establishing review cycles. These practices embed product thinking into data management.
📏 Measurement Framework
Ryan outlines a framework to measure product health, usage, and performance, essential for evaluating business impact. Real value lies in viewing data as a strategic product, not just projects.