
Passionate about #DisruptiveInnovation #Startups #BigData #AI #Strategy #sailing and #photography.
Milano, Italy
Joined September 2010
- Tweets879
- Following391
- Followers326
- Likes214
Marco Palminiello retweeted
Prendere la decisione più efficiente, nel minor tempo possibile e considerando un milione di variabili, grazie all'#IA?🦾La start up #EVO, con sede al #PoliTO, lavora a questo fine, per implementare il lavoro strategico di aziende e imprese
#PoliFlash
➡ polito.it/ateneo/comunicazio…
Marco Palminiello retweeted
Grazie all’acquisizione da parte della #ToolsGroup, la startup #Evo potrà estendere l’offerta dei suoi servizi di intelligenza artificiale
digitech.news/digital/28/09/…
Marco Palminiello retweeted
VIEW | The public simply needs to choose truth over fantasy to protect humanity and end this misinformation war on AI, Fabrizio Fantini writes.
Marco Palminiello retweeted
When choosing an analytics approach, we must rethink the role of the manager: from the person who has all the answers to the one who asks the right questions. hbr.org/2023/05/analytics-fo…
Marco Palminiello retweeted
How to use three approaches to analytics, and the trade-offs and limitations of each. hbr.org/2023/05/analytics-fo…
Marco Palminiello retweeted
Exploring how to maximize the potential of both humans and machines to arrive at the best business decisions. hbr.org/2023/05/analytics-fo…
Marco Palminiello retweeted
RT: When does it make sense to shift from human-centered methods to automated analytics and decision-making? hbr.org/2023/05/analytics-fo…
Marco Palminiello retweeted
When does it make sense to shift from human-centered methods to automated analytics and decision-making? hbr.org/2023/05/analytics-fo… What are your thoughts? 👇🏻 Like, comment, share, thx! #leadership #thoughtleadership #leader #success #lifecoaching When doe… hbr.org/2023/05/analytics-fo…
Marco Palminiello retweeted
When does it make sense to shift from human-centered methods to automated analytics and decision-making? hbr.org/2023/05/analytics-fo…
Marco Palminiello retweeted
Benetton partnered with Evo to explore a new prescriptive approach to optimize markdown performance.
Discover Benedetto improvements that increased revenues by more than 5%. 🪙📈
ow.ly/l2WK50KAW0n
#mlweek #predictiveanalytics #artificialintelligence #revenuegrowth
Marco Palminiello retweeted
Paolo Massafra shares how can you fairly measure different markdown strategies in times of market disruption.
Read more:
medium.datadriveninvestor.co…
#kpi #markdown #marketdisruption
Marco Palminiello retweeted
L'incubatore del Politecnico merita 37 milioni di finanziamenti e accoglie 900 nuove idee. Mai così bene da 5 anni ift.tt/3sTsHUD
Marco Palminiello retweeted
Evo Pricing is hiring a Front-end Developer (based anywhere globally) evopricing.applytojob.com/ap… via @JazzDotCo
#FrontEndDeveloper #techjobs #vueJS #remotework #EvoPricing #DataScience #SoftwareEngineer
Marco Palminiello retweeted
AI meets supply chain management and.... delivers. Cool stuff indeed from @evopricing
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Marco Palminiello retweeted
Data-driven is often inaccurate.
When you consider how most companies use data, it’s hard to argue that it is really being used to drive the best decisions.
towardsdatascience.com/data-…
Marco Palminiello retweeted
Why has the idea of being "data-driven" fallen out of favor in recent years? Fabrizio Fantini @evopricing argues that companies should reclaim the term—and inject it with real meaning and purpose. buff.ly/3kEyCbJ
Marco Palminiello retweeted
📢[CLOSED SEMINAR]
Is the proposed EU #AIAct fit for purpose? Is it compatible w/ concrete applications?
🎙️@RNumerique, in partnership with @FacebookFR and @AI_Regulation is organising a high-level closed seminar to discuss those issues.
📅10/06 | 9am CET
*By invitation only*
Marco Palminiello retweeted
"We don’t have to keep making the same mistakes." Fabrizio Fantini @evopricing looks at four critical missteps data teams are prone to, and proposes ways to avoid them. buff.ly/3fTWjcm
Marco Palminiello retweeted
This article is an excellent summary and reminder that the challenges with data science are not always to do with numbers. It has to do with understanding the context of what you are doing as a data scientist.
towardsdatascience.com/data-…



















