As another year and another decade are coming to an end, it's a time for all of us to look back and reflect on our successes, challenges and exciting new projects we're looking forward to. This is why we assembled for you this selection of our best and most read blog posts for the year, hoping that each of you will find something worth remembering, learning or getting inspired by for the new year.
1. Old but gold: 7 Fundamental Steps to Complete a Data Project
Start off the new year right with a new challenge: the first step to becoming data-powered is to master these 7 steps to completing a data project from raw data to operationalization.
2. AI vs. Machine Learning vs. Deep Learning
Some more AI fundamentals to get you started on your AI journey: Why do people use these three terms relatively interchangeably, and what are the distinctions?
3. Using AI to Solve Real World Problems: Meet the Winners of the Smart India Hackathon
"OK boomer" may as well be the word of 2019, so to avoid getting that label, a good New Year's resolution for all of us would be to listen to young people more. This is why we met with the young winners of a product development competition where students are encouraged to use the latest technology to solve present-day problems.
4. Top 8 Use Cases for Machine Learning & AI in Marketing
Marketing is a key part of every organization nowadays (and let's face it, we could all use some inspiration for our "new year, new me" personal brand), and AI is an increasingly crucial part of it. Check out our infographic to learn about the top eight practical use cases for AI in marketing.
5. How Do I Know If My Model Is Good?
The holidays are great, but we can all get a bit anxious towards the end of the year and start doubting our decisions. If one of these little anxieties happens to be about whether your machine learning model is good, read this blog and watch the interview with Jed Dougherty, our VP of Field Engineering, who will help you make sure you're on the right track.
6. Why Data Visualization and Dashboards Matter
Data viz continues to be all the rage in the Roaring Twenties! Learn about the difference between data visualization and dashboards and why both are important to boosting team-wide collaboration.
7. Build A Recommendation Engine in One Day
This year, we decided to challenge ourselves to build a recommendation system and put it in production in one business day. Challenge accepted?
8. Machine Learning Applications for Banking Fraud Detection
See how banks are detecting fraudulent transactions today, and leverage our code samples to try your own machine learning-based solution.
9. Announcing Dataiku 6: Future-Proof Your Path to Enterprise AI
Dataiku 6 is here! This release adds a suite of new features - including managed Kubernetes cluster capabilities - to better execute on data projects that are elastic, inclusive, and responsible. Ultimately, Dataiku 6 empowers organizations to build AI systems that are fit for the future, so read on to see how it could fit into yours!
10. Dataiku Partners with CapitalG and Becomes a Unicorn
The year 2019 has been an inspiring one at Dataiku, from releasing our very own data science documentary to discussing human-centered AI with more than 3,000 attendees at five EGG conferences around the world, being named to the 2019 Forbes Cloud 100 list to opening new offices around the world. To top it off, we end the year with some more exciting news: CapitalG has joined Dataiku as an investor and we are now officially a unicorn!
