DataSentics webinars
Webinars in English
Key topics:
- Drop-off prevention from web app/funnel
- Customer service (call centres, inbound)
- Enriching CRM (Proactive retention & customer satisfaction management)
- Cookieless targeting & 360 Attribution modelling
- Customer 360 profile
Key topics:
- What services or products are your customers looking for?
- What is their decision-making process?
- Are the leads passed on to the right department?
- What happens when a customer complains about the product via e-mail or chat?
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Key topics:
- How do you ensure your stock never runs out?
- Is your shelf management data-driven?
- How does Nestlé manage on-shelf availability with Shelf Inspector?
Key topics:
- Are you using AI/ML to detect fraud?
- Do you offer a personalised experience?
- What are the goals of an on-premises migration to the cloud?
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Key topics:
- Combine traditional credit risk, machine learning, and graph neural networks
- Establish the probability of default for customers based on their behaviour
- Improve credit risk scoring of new-to-bank clients and apply scoring even to non-clients
Key topics:
- Drive innovation by reducing infrastructure spend
- Achieve higher productivity by eliminating manual tasks
- Accelerate your business by making use of the Databricks unified analytics platform’s AI capabilities
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Key topics:
- What does the end of 3rd party cookies mean for publishers?
- What are the new opportunities?
- How can publishers leverage machine learning?
- What are the options for publishers now?
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Webinars in Czech
Témata webináře:
- Rozdíly mezi AWS, Azure a GCP
- Proč poptávka po cloud specialistech roste
- Co obnáší práce cloud engineera
Témata webináře:
- Co naše kolegy motivovalo jít zrovna do dat/ML
- Co čekali a potvrdilo/nepotvrdilo se jim
- Co nečekali a příjemně je to překvapilo
- Co je na datech netěžší/největší výzva
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Témata webináře:
- Jaké to je pracovat v kalifornii jako ML engineer
- Jaké rozdíly Dan vnímá mezi prací pro start-up a zaběhlou firmou
- Jak to vypadá, když firma raketově vyroste
- Jaké byly začátky, na co si dát pozor a Danova očekávání vs. realita
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