AI & Data in a few words & links
Contenuti
A Gist of Data Culture
🖐️Technology (data engineering)
- Shared leadership among data engineers
- Speeding up Pandas
- Modern data infrastructure
- Most popular databases ranking
- Most popular programming languages ranking
- Data Lineage
- Regex with GPT-3
- Writing for Engineers
- Thread & Process
- Machine learning engineer
- Python everywhere: even in the browser?
- Machine learning trends you need to know
- Data quality for images
- Data-centric AI
- Play & Fun for learning
- Fastening really big data
- The Business intelligence index
- The complete guide to the modern AI stack
- A new spreadsheet-database hybrid open source project funded
- Low-code development platform & databases ranking
- Spark performance at a glance
- Data Centric AI in practice: Modulos.ai
- Pandas’ anti-patterns to avoid
- Bloom: a Open-Source GPT-3 competitor!
- Using GPT-3 to explain how code works
- Best Practices for ML Engineering
- Cliff notes of machine learning algorithms with Python
- Task Machine Learning Engineer, Platform Machine Learning & more.
- A quick journey in 25 useful python libraries
- CalmCode
- Coding Made AI – Now, How Will AI Unmake Coding?
- Data lakehouse: the present and future of data architectures
- Almost everything you ever wanted to know about HASH … at a glance
- Cosmograph: a quick and easy way (library) to visualize (not too) big networks within seconds!
- Confidential Computing and Machine Learning
- Technical writing as a key asset for everyone working in tech world especially for engineers
- Data linkage and deduplication with Splink
- DuckDb and its mum 🙂 to query analytically the World!
- The data of our life
- How to scale using Google Trends with Pytrends
- The present and future of coders told by a coder
- Open Learning Algorithms
- Learn Prompting for a conscious future
- 2022 Databases Retrospective
- Copilot: a Game Changer in Education & Lifelong Learning for Coders?
- Distilled Programming through the Zen of Proverbs
- The Technology Transforming AI 🙂
👀 Data Science
- Visual Machine Learning
- AWS Machine Learning Specialist certification experience
- Sketchnoting and datascience issues
- Vector database
- Data-scouter
- Explanatory analysis vs Exploratory analysis
- DALL·E 2
- Measuring product success
- S.T.E.G.O. Self supervided vision learning
- Visual Machine Learning 2
- Data for marketing
- Low code & great results with Gradio
- Datascience: the science of knowing the contest
- Data Science in context by four giants
- Useful datasets
- Correlation is not causation but with PyWhy …
- Data & Decisions: the really strong alliance!
- Deep learning as ‘representation learning’
- Happier marriage with the help of datascience?
- Our World in data
- Python for Data Analysis 3rd edition by Wes McKinney
- Is Data Scientist Still the Sexiest Job of the 21st Century? The future is not what it used to be.
- The importance of statistics by Jim
- Data Visualization and the modern imagination
- Pretty Maps in Python
- Probabilistic Machine Learning: “something more than” An Introduction
- Making Decisions with Classifiers
- The myth of unbiased data
- Soccermatics
- The Reproducibility Crisis in ML‑based Science
- Dataviz Tools, Books and Learning Centre
- Advanced SQL for Datascientist
- Pandas-profiling: quick and easy statistical analysis with Python
- The State of Data Science and Machine Learning 2022 (from the most important datascientist community in the world: Kaggle)
- Python and Data Science in every branch of human knowledge: economics, literature and more!
- The fascinating world of complexity: from Mauro Pelucchi back to Cesar Hidalgo
- The Datascience Interview Book
- Great pretrained AI model for a substantial human-made problem: CLIMATEBERT
- Inside the Algorithm: a book and a way of thinking
- How to visualize in a simple way our dear data
- Data Science Art
- Learn by playing but mind the addiction! 😀
- Dashboard Design Patterns
- A Great Way to Start, to Learn & to Experiment with Many Machine-learning Models: Pycaret
- Illustrated Machine Learning
- One of Us – Cristiano De Nobili – Datascience for Social Good
- The Bible of Feature Engineering and Feature Selection
👂🏾Data Culture inside organizations
- 2025 AI-driven companies
- Data scientist Vs data engineer ratio
- 2022 AI Report by Stanford
- How to scale data teams
- The life of the modern CDO
- Data (culture) is not the new oil
- Data Steward
- Post-Covid C-suite view
- Leadership & Competence
- #GreatResignation: not only money!
- New way of working from an iconic CEO
- DAO (Decentralized Augmented Organization)
- AI US-Business survey
- Tech-Layoffs 2022
- Coder for money
- It’s Time for the Modern Data Culture Stack!
- Find the smartest technologist in the company and make them CEO
- Data & Algorithms & Innovation: not so different twins
- To datamesh or not to datamesh?
- OKR: how to improve team & company culture with data.
- Valuable compensation insights Half1 2022 by Carta
- Algorithms for decision making
- Creative economy powered by algorithms
- Almost entirely good news (for Italy) from DESI2022
- Global Data Governance Map
- What about the future of tech work? Italy Vs Rest of the World
- Data for sustainable development
- Italian Kaggle
- Maslow’s pyramid of Data Science
- IBM Global AI Adoption Index 2022
- Chief Data Officer Short Life (in a company)
- Hiring: why more is often less (especially with data teams)
- Where AI can – and can’t – help Talent Management
- AI TRiSM & Adaptive AI: Gartner 2023 predictions for the world of AI & Data
- Data Engineer 101
- The most important event and figures for Italian “Big Data & Business Analytics” ecosystem
- Data Documentation World: data catalog and more …
- AI Shouldn’t Compete With Workers—It Should Supercharge Them: Artificial Intelligence Vs Augmented intelligence
- DAMA framework & DAMA Italy annual convention
- AI Play, explained simple!
- The state of AI in 2022 — and a half decade in review by McKinsey
- Decoding Data Mesh
- The hybrid work pyramid of needs
- Staff “Data” Engineer
- Why Business Data Science Irritates Me
- The Devil is in the Detail
- Alex Komoreske, Ronald Coase & the Coordination Headwind
👃Investimenti in ambito dati e algoritmi
- 2012-2020 investiments in AI
- Data businesses by Abrahm Thomas
- AI investments trends
- Q12022 investments slowdown
- Vedrai round of investment
- 25 start-up to follow in 2022
- Investments in data-pipeline framework
- Investing in innovation with patent data & NLP
- Pegacorn
- AI Investments infinite growth?
- Top 100 AI start-up and how to classify them
- A Framework for Navigating Down Markets
- EdTech for continuous learning
- AI: Artificial Investment Framework
- Corporate+Start-up=CVC a winning equation?
- Still time to invest in AI?
- Acquihiring
- Start of the month: June 2022: Multiverse.io
- What the average & median fundings (Series A through C) (don’t) tell us …
- Fabrice Grinda: a great venture capitalist to follow
- Start of the month: July 2022: Single-Store
- AI Trends to watch in 2022 and beyond
- Italian VC is still a dwarf in 2022
- An italian insurtech start-up for data and technology risks
- European Edtech shows signs of resilience
- Start-up of the month: August 2022: OpenSpace
- AI Auditors: a tech game changer according to CbInsights
- The importance of creating scenarios rather than predictions
- Start-up accelerators: are they the real driving force for investment in the field of Artificial Intelligence?
- September 2022. Start-up of the month: Stable
- Introducing the intelligent future (with an investor perspective).
- 10 topics for Italian economics and digital development by an Italian Maker (and data and AI matter!)
- The State of AI 2022
- Prompt Marketplaces for Generative Models: fad or future?
- Start of the month – October 2022. Vara: data-driven breast cancer screening
- Generative model: the new gold rush or only FOMO?
- The new learning economy and a bit of myself in it 🙂
- 6 new theories about AI (to mind for next investments)
- Unruly: investing in the crazy (to save the world), before it becomes normal. An Italian heart with an international gaze
- Start of the month – November 2022. Empatica: health monitoring with an Italian heart
- State of European Tech 2022
- Start of the month – December 2022. Beamery: Talent Lifecycle Management
- The Generative Ai Revolution in Games
- Remote Patient Monitoring
- Opportunity & Trends
- Synthetic Data for a Real Fraud 🙂
- Who Owns the Generative AI Platform? And the general landscape from investors’ perspective
👅Etica & regolamentazione & impatto sulla società
- No fear of AI
- A bit of database regulations
- Responsible Tech Playbook
- A bias classification by NIST
- Green & Digital (with Data & AI) not so different twins by Carnevale Maffè
- European AI Regulations roadmap problems
- Bias & Fairness in AI systems
- Digital Service Act
- A language for human & AI?
- European fragmentation about Data & AI regulations
- AI: from Asimov to Interoperability
- Movies & AI
- Open Data Essentials
- Visualizing data breaches
- Living with artificial Intelligence
- Machine learning in education too?
- Human bias or not Human bias?
- Sustainable AI
- Human algorithms on feminicides
- Not conscious AI yet by Douglas Hofstadter
- Ethics and AI: an engineer’s perspective
- 5 Megatrends Fueling the Rise of Data Storytelling
- AI against privacy in China?
- True artificial intelligence for Italian tax checks?
- Beneficial ownership transparency
- Orwell Vs Huxley: a dystopian derby
- Inside Airbnb (with data)
- The wikipedia ot the structure of proteins: a key factor for our future health
- The man who explains Italy (and US with data): Francesco Costa
- The joy of AI
- AI Liability Directive
- What is AgTech and Why is it important … and something more
- Robots and employment: the eternal and quite predictable dilemma!
- 10 Things You Should Know About AI in Journalism
- Italian and European Olympic games of statistics (as an entrance test for managers in a company)
- An Italian data-driven biohacker to follow: Nicola Triglione
- Data Governance Act explained and in practice
- Data on the unmeasurable: magic or reality?
- Planning or thinking to leave Twitter? have a look to your Twitter data with Observable
- Jupyter Book a tool to “build” book and to foster open knowledge
- The Turing Way handbook to reproducible, ethical and collaborative data science
- Six*2 memos for the next data-visualization times by two Italian Data-Viz Super Stars
- The most important Italian Data
- New Generative AI Problems (& New Opportunities) in Education
- Stable Diffusion litigation: AI needs to be fair & ethical for everyone.
- Talking AI with AI … in practice!
- American Dream in Data