DataSentics Datasentics 08.04.2022

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
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