Jean-Pierre Sleiman

Passionnate about #tech, enhancing operations with #digital, #analytics and #AI @N26 🚀

[Toute l'info, by Lisa 🌏 @ActusPays]

Quand l'eau devient haram ou makruh ?
L’eau devient non halal si elle est polluée par :
Des impuretés physiques (urine, excréments, sang, cadavres, etc.) → elle devient najis (impure).
Des substances intoxicantes (alcool, drogues) → même en petite quantité, elle devient haram.
Des produits interdits (ex. : eau contenant du porc ou de l’alcool ajouté, comme certaines eaux aromatisées industrielles).
L’eau est halal tant qu’elle reste pure et sans substances interdites.

[Jean-Pierre Sleiman @jp_sleiman]

Can #AI in its current forms either amplify or reduce #gender #inequalities? Some lines of thought in my latest #Medium post - also available in the Feb. edition of @PontsAlumni Magazine
https://t.co/PZEpbQWyJV

[Jean-Pierre Sleiman @jp_sleiman]

L’#IA dans ses formes actuelles amplifie-t-elle les inégalités, notamment de #genre ? Peut-elle au contraire contribuer à les réduire ?
Quelques pistes dans mon article pour #PAM
Merci à @PontsAlumni pour cette tribune 🤖👥🌉
—> English version coming soon!

[Jean-Pierre Sleiman @jp_sleiman]

#AI is now a key asset in #customerservice by predicting customer needs, handling requests with #bots or assisting agents with #insights. This allows #CS functions to develop from #support capabilities to real #retention & #growth engines
Via @techreview
https://t.co/rUV5EEdxen

[Jean-Pierre Sleiman @jp_sleiman]

Yesterday I shared with @sciencespo students how we use #data #analytics and #AI at @n26 to create the best #banking experience for our customers.
Thanks @AhmedAbbessi for this great opportunity!

[Jean-Pierre Sleiman @jp_sleiman]

Researchers from @UWaterloo & @MIT invented “LO-shot learning” to build #AI models with very few examples by distillating training data - e.g. hand-written number recognition trained on 10 ex. reaching 94% accuracy on the #MNIST dataset!
Via @techreview
https://t.co/1JmOZ4ROCt

[Jean-Pierre Sleiman @jp_sleiman]

Focus on 4 #deepfake projects using different #AI technologies (dialogue replacement, voice cloning and face swapping), to analyze the new possibilities they create for actors and creatives but also the ethical questions that arise
Via @TechReview
https://t.co/T3DoyB2Ytl

[Jean-Pierre Sleiman @jp_sleiman]

New #android feature to improve #CX & reduce waiting time when calling #customerservice, by using #AI to:
• Detect hold musics & loops
• Alert the user when a representative is on the line
• Ask the representative to hold the line if needed
Via @google
https://t.co/O6PCH5TWD7

[Jean-Pierre Sleiman @jp_sleiman]

Are #GAN and generative #AI “just” tools or independent entities?
New @MIT study stressing the need to distinguish myths from reality, to give more credits and responsibilities to human stakeholders.
Via @ZDNet
https://t.co/B4Ihtk4rCh

[Jean-Pierre Sleiman @jp_sleiman]

Comparison #GPT3 vs. @rasa_io #chatbot to answer questions about movies:
• Rasa: more accurate answers & easier to fine-tune / retrain
• GPT-3: good results out-of-the-box for a very large variety of #NLP use cases
#Transformers revolution on its way!
https://t.co/z4aeL1GWVj

[Jean-Pierre Sleiman @jp_sleiman]

Great interview of S. Paulenz from @n26, explaining how we created Neon, our customer service #chatbot, and how we are managing its content evolutions
Big shout out to all the teams involved and of course to @Rasa_HQ our key partner on this journey 🤖💬🤝
https://t.co/2iSn2Sc7ZG

[Jean-Pierre Sleiman @jp_sleiman]

How can #AI improve new #product development?
• Trend discovery
• Demand forecast & propensity models
• Generative #design
• Optimization of offers & bundles
• Customer feedback & #insights
Via @Forbes
https://t.co/wK1tw5yiwu

[Jean-Pierre Sleiman @jp_sleiman]

@Apple’s new #AI strategy is to deliver many small features like:
• Facial recognition announcing who is at your door
• Book recommendations
• Situation tracking for (e.g. sleeping, hand washing)
• Translations and handwriting recognition
Via @verge
https://t.co/8netmLXKiR

[Jean-Pierre Sleiman @jp_sleiman]

#google’s latest attempt to enter the social media space: #Keen, a curation platform, similar to #Pinterest, but relying more on #AI to identify and suggest relevant content
Via @verge
https://t.co/Kot1GNRrYx

[Jean-Pierre Sleiman @jp_sleiman]

#AIOps is a key success factor for any #datascience and #AI initiative, which includes a state-of-the-art environment and a multidisciplinary team to manage (re)training & deployment, integration, monitoring and scaling of the engines
Via @HarvardBiz
https://t.co/dnJ5pojoMF

[Jean-Pierre Sleiman @jp_sleiman]

How can state of the art #AI and #NLP help support research on #CoVID19? By providing a smart search engine for scientific papers: https://t.co/kQ2yvo6z3H

Kudos to @ahmed_besbes_ , @OAuliard and the @CapgeminiInvent teams 🚀

https://t.co/r8E6T0Ib87

[Jean-Pierre Sleiman @jp_sleiman]

@OpenAI teamed with @MSFTResearch to build an #AI supercomputer & deliver this week GPT-3, the new state of the art #NLP model - for text translation or generation.
This questions the role of research & its quest for knowledge vs. results.
Via @VentureBeat
https://t.co/3pP17eQ8uu

[Jean-Pierre Sleiman @jp_sleiman]

7 suggestions to succeed as a Data Science Product Manager, among which:
• Understand how & when to use #ML
• Adapt your #agile framework to uncertainty & experimentation
• Carefully chose your model KPIs & constantly monitor results
Via @TDataScience
https://t.co/skNxqWYGIL

[Jean-Pierre Sleiman @jp_sleiman]

How @PhilipSheppard (composer) & Tom Gruber (Siri) created @LifeScoreMusic to augment #music with #AI by combining & creating unique compositions based on user biometrics, environment & emotions. Many use cases from video games to ambiant music
Via @Wired
https://t.co/63nulYXx20

[N26 Careers @N26Careers]

Meet Neon, our Customer Service #chatbot: 2 years old, speaks 5 languages and knows all about banking! 🤖💳

#n26 #AI #operations #InsideN26

https://t.co/HfLIgWZ7yj