Manuel Offidani

Using this framework will help any Data Science team to deliver not only accurate models, but successful digital products generating true value for its users. Is there anything you would add based on your experience? Drop it below!

5/ Interpretation: Last but not least, spend time understanding why a model does what it does. Users have trust in AI models in 2 cases: i) it is absolutely evident how it can help them or ii) they have an intuition of how it works. i) is better, ii) is easier to guarantee

Working in AI team is cool, but extracting value for a business from AI models is hard. As a Data Scientist, I’ve seen many AI projects fail. The reason is usually that they aren't focused on value. Here’s a 5-step framework to turn every DS project into a $ generating machine:

Link to the article: forbes.com/sites/hannahma…

I totally agree with their research. Data Scientists need to step forward for AI to fully express its power both in the business sector and society alike. I will publish a framework to tackle DS problems effectively tomorrow. Follow if you found the post useful!

A research from Harvard Business School concluded that “Organizations Routinely Fail To Realize The Full Potential From Their Data Science Efforts” Here’s the 4 main reasons they have identified as root causes, and some possible solutions:

Think that ChatGPT is changing your life because it will help with X, Y and Z? Think twice

@_r_figueiredo Absolutely. In tech, either you become a manager or you become a technical expert. In both cases you need to know how to deal with people, in addition to marketing your work

The Most Ignored Advice in Tech

@Gartner_inc If you're pondering a lateral move in your career as a Data Professional, you should learn more about Web3. You won't regret it.

3. We're almost out (hopefully) of a bear market. @Gartner_inc would say we are emerging from the trough of disillusionment in the technology lifecycle adoption. The moment has come to step up and make a difference. Being an early bird will pay off. The opportunity is huge.

Amid the layoffs, what's the best choice a Data professional can do right now? Learn more about web3. 3 Simple Reasons to motivate you: