DataSentics webinars
Latest webinars
Topics we will cover:
- Shopping experience funnel: Identifying the problems in the consideration phase and understanding why addressing them is crucial.
- Enhancing consideration phase with GenerativeAI: Transitioning from typical solutions like blog posts to Generative AI technologies.
- Real-world Case study: Our client, Heureka - the largest price comparison website and shopping guide in Central Europe.
In this session, we will focus on:
- The benefits of migrating your data from on-premises to the cloud
- The main advantages and capabilities of Databricks’ Data & Intelligence platform
- How to transition from your current architecture to a more advanced state
- Security and compliance questions regarding patient data in the cloud
- Success stories: Best practices and lessons learned
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Main topics:
- Identify new leads and opportunities in customer interactions.
- Enrich models by extracting data from customer communications.
- Automatically scan and monitor banker-client interactions for regulatory violations and performance.
- Automate the extraction of information from documents.
Main topics:
- Production-like data for development: how to make security happy
- Governing Generative AI use-cases
- The hard part of using virtual networks to keep data separated
- Maximal security vs. reasonable costs - what the options are on Azure
- Environments & development process best-practices (Platform, Sandbox, Test, Prod, LAB)
- Scaling Unity Catalog to hundreds of users and TBs of data using terraform
- Q&A session
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Main topics
- Understand how Digital Twin and Predictive Maintenance help you spot anomalies effectively.
- Strategies for processing and efficiently managing the extensive data generated by Digital Twins.
- Learn how this technology can cut down on operational expenses by proactively preventing breakdowns.
- Hear our latest success story of our client, Acond.
With Digital Pathology Pipeline, you can:
- Measure size of tumors
- Visualize tumors using heatmaps
- Segment and highlight functional units of tissues
- Cluster samples into groups based on their visual characteristics
- Detect anomalies in pathology, radiology and other modalities of images
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Topics to be covered:
- Why should AI-driven analytics be used for business location optimization?
- Brief overview of the AI Optimization Engine & map interface.
- Key challenges faced and the process of integrating historical, demographic, and geospatial data.
Topics to be covered:
- Key areas where we see impactful use cases
- The current state of maturity and typical limits for productionalization
- Key concerns, risks, and security
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What will you learn?
- How to migrate data from SAP BW?
- Is it worth the effort and does it require specific licenses?
- How to process data in (near) real time?
- What is the cost of the DataSentics migration accelerator?
What will you learn?
- How to improve customer engagemen
- How to drive business results
- What are the biggest blockers and gap skills within project/solution teams
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Co si z webináře odnesete?
- Naučíme vás nezbytné základy pro vytváření obrázků
- Poradíme, jak online generovat grafiku snadno a za co nejnižší náklad
- Předvedeme také několik pokročilejších postupů a služeb
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Previous 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 profil
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:
- 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:
- 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?
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:
- 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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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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Webinars in Czech
Témata webináře:
- Rozdíly mezi AWS, Azure a GCP
- Proč poptávka po cloud specialistech roste
- Co obnáší práce cloud engineera
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
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