~/conference

DSC DACH 2023

date:2023-04-20..2023-04-21
location:Vienna, Austria
series:DSC DACH · one edition
titleauthorlength
Open Data vs. Privacy - How Synthetic Data Can Democratize AI InnovationWolfgang Weidinger54m
Defines synthetic data as using generative AI with privacy mechanisms to learn patterns from sensitive records and create artificial records that are…
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Scaling & Industrialization of AILukas Kölbl19m
Survey finds 84% of executives say scaling AI is necessary while 76% can build pilots but fail to scale, with banking and insurance surprisingly behind despite…
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Creating Production-Ready Shiny AppsMario Annau01h 32m
Turns a vanilla Old Faithful Shiny app into a proper R package with documented exports and zero R CMD check errors, uses usethis and roxygen2 to generate…
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Go with the flow–Track your machine learning lifecyclePhilipp Danninger01h 04m
Uses MLflow to version experiments on the California housing dataset, running a baseline Linear Regression and an XGBoost pipeline while logging…
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Graph Neural Networks in Drug DiscoveryTin Tunjic01h 23m
Compares a fingerprint multitask classifier (ECFP, 1,024 bits) to graph approaches on Tox21, 7,800 compounds, 12 tasks, using DeepChem + RDKit; fingerprint…
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The Modern Data StackBogdan Pirvu01h 35m
Claim: the modern data stack replaces Hadoop/Spark ops with cloud services so analysts become analytics engineers. Demo builds a working pipeline: MongoDB +…
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Learnings integrating a machine learning model to existing softwareClemens Zauchner24m
Built an anomaly-alerting module for Trinity smart alerts that learns daily and weekday patterns from production metrics and replaces brittle thresholds. A…
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Connecting the Dots: Graph Analytics for Economic SustainabilityDiogo Braga27m
Claims that property graph databases let teams traverse multi-source relationships in real time instead of waiting days or weeks, with examples: a 30,000…
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Beyond Deep Learning: Next Generation AIDanko Nikolic51m
Claims a Guided Transfer Learning method that cuts training data needs by 3–5 orders of magnitude, based on a neuro-inspired architecture that inserts gates…
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Toxic managementJosip Saban34m
Research based on 15–16 interviews and qualitative analysis across about 190 companies surveyed claims toxic managers use slow agendas, favoritism…
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Lyrics Generator + Results: AI Usecases for climate changeFelix Stockhammer28m
In the Lumos Lyrics Generator project, we learned how to build a text generator from scratch. Using existing lyrics as training data, our model can write a…
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LLM-Based DevelopmentBogdan Pirvu29m
A prototype booking app wires voice transcription to GPT-4 and GPT-3.5 as the decision engine, calling a calendar API to schedule appointments; one demo…
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The building blocks of a successful data strategyMario Meir-Huber34m
Many data programs fail because culture and governance lag behind tools; success requires raising three domains — technology governance culture — not just…
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AI Regulation - How to implement AI legally compliant?Alexandra Cirnau30m
Overview of concrete legal steps for AI projects: treats anonymization and synthetic data as a processing step that requires a legal basis, warns that training…
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Empowering Education and Therapy with Data ScienceNicole Weinert20m
Describes a pipeline that first builds a machine learning emotion classifier that distinguishes six expressions (anger, disgust, fear, happiness, sadness…
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How Deep Learning is Revolutionizing Sports AnalyticsPhilipp Singer42m
Predicts a rusher’s final yardage at handoff from NFL shoulder‑sensor tracking by encoding 21 players into tensors, applying convolutions and pooling, and…
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Digitalization and Space TechMartin Mossler55m
Space sector revenue hits roughly $500 billion by 2030 and most of that value comes from downstream data — open Copernicus imagery lets models spot millimeter…
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Driving data use cases in the insurance businessAndreas Magenschab31m
UNIQA reports running ~40 companies across 18 countries with 16 million customers and a ten‑person group data analytics team that focuses on rapid MVPs…
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How generative AI is Changing the way people interact with computersIveta Lohovska32m
Claims that large generative models like ChatGPT/GPT‑4, Whisper and Llama now generate working code, translate across languages and collapse years of study…
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Panel: Data-Driven Sustainability30m
A coalition of cases shows concrete wins and clear limits: an 80 acres sensor network feeds AI models that cut water, energy and transport waste on European…
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Let's Terminate Climate Change with AIStefan Papp22m
Argues that AI and data are applied to three concrete problems: scheduling heavy industrial processes by region-specific emission forecasts (models use wind…
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Geospatial Machine Learning at ScaleKarsten Schroer26m
Amazon SageMaker adds geospatial connectors for Sentinel‑2, Landsat and OpenStreetMap, a notebook SDK to launch managed processing jobs (demo job returns 25…
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Digital Solutions for ESGStefan Blachfellner27m
A practical evaluation framework assesses digital products by measuring model energy and hardware use, testing whether a stronger data model actually reduces…
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(Un)Ethical Machines? Why AI Bias Is a Problem and What to Do About ItAlexandra Ebert34m
Examples where models deny women access to credit and label dark‑skinned people as gorillas anchor the claim that bias comes from training data and historical…
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PeaceEye - How state of the art technology helps to save livesAndreas Papp26m
PeaceEye fuses satellite Earth observation, microwave soil‑moisture algorithms and Geo‑Social Media sentiment analysis to detect hotspots and guide…
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Beyond a Machine Learning ModelDana Jomar27m
Uses Johns Hopkins data and the CoronaNet dataset to train models that predict country-level COVID case growth rates and then interprets effects with ALE plots…
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Using data to improve physical therapy for people with neurological diseasesGernot Greimler22m
Collects synchronized sensor streams — 50 Hz motor and joint-angle data, pressure insoles, finger-position encoders, SpO2 and blood pressure — and attaches…
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A simple model to estimate an entities’ contribution to global warmingStefan Janecek27m
Builds a simple climate model that converts an entity’s emission time series and projected changes into an expected global temperature rise called warming…
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