Big Data Europe || RPA Europe 2024 | Conference Talks

Channel: DATA MINER

Videos (76)

1 — Jiri Moravcik: Automating Web Workflows with LLMs
2 — Alius Petraska: Can AI Face Your (Potential) Customers?
3 — Karyna Mihalevich: AI Agents in Action: Transforming Enterprise Processes
4 — Johannes Dienst: The Road to Intent-Driven Automation
5 — Andrzej Kinastowski: Three Practical Ways to Use AI in Your Company
6 — Jesse Anderson: The State of Data Engineering
7 — Thomas Schmidt: LLMs for Self-serve Analytics - Lessons Learned
8 — Stephen Batifol: Supercharge Spark: Unleashing Big Data Potential with Milvus for RAG systems
9 — Josef Goldstein: When the CFO Comes Knocking: Our Journey to a Cost Efficient Data Platform
10 — Luca Pescatore: Data Modelling: Navigating the Data Seas with a Data Vault Compass
11 — Raghav Matta: Leveraging Azure PaaS for Real-time Social Media Analysis
12 — Martin Zuern, Markus Zachai: How Decentralized Data Products are Changing GEMA from Inside Out
13 — Sumit Pal: Building Knowledge Graphs
14 — Olena Kutsenko: Sentiment Analysis in Action: Building Your Real-time Pipeline
15 — Karim Wadie: Fail-Safe BigQuery: Disaster Recovery Automation Techniques
16 — David Gomes: SQL from the Frontend: Viable or Not?
17 — Sonal Goyal: Open Source Entity Resolution - Needs and Challenges
18 — Julien Jakubowski: Apache Pulsar: Finally an Alternative to Kafka?
19 — Kateryna Dubas: GDPR Design for Websites, Apps and (Ro)Bots
20 — Noe Achache: AI Development Lifecycle: Learnings of What Changed with LLMs
21 — Amardeep Lidder: Roadmap to Responsible AI
22 — Dragan Metikos: Lean Process Automation
23 — Timothy J Spann: Real-Time AI with Open Source
24 — Artsiom Yudovin: Build a Modern Data Platform on AWS
25 — Andreas Buhlmeier: Generative AI: Get a Grip … and a Look Under the Hood
26 — Philippe Nieuwbourg: Artificial Intelligence is Nothing without Data Governance
27 — Pietro Mele, Radu Pop: Exploring Large Graphs at the Heart of the French National Audiovisual Ins.
28 — Peter Farkas: Leveraging Open Source Databases for Strategic Advantage
29 — Ivica Kolenkas: How (Not) to Spend $15000 per Month on AWS Athena
30 — Jan Mensch: Insights into Your Cloud Database: How Storage Engines Actually Work
31 — Anindita Mahapatra: Strategic Importance of GenAI Platforms for Business Competitiveness
32 — Martin Pohjakivi: Applying Data Quality Monitoring
33 — Chloe Caron: How Well do LLMs Detect Anomalies in Your Data?
34 — Christian Tzolov: Spring AI: Integrating Generative AI in Java Enterprise
35 — Jiang Chen: Unleashing the Potential of Cloud-Native Vector Databases
36 — Marcin Szymaniuk: Optimising Apache Spark and SQL for Improved Performance
37 — Rui Machado: Data Engineers: Respect the Resiliency of SQL
38 — Simon Copsey: Technology is Necessary, But Not Sufficient
39 — Andrzej Lassak: Autonomous Enterprise
40 — Artem Pochechuev, William de Pretre: Using Transformers.js to Bridge the Gap Between AI Research and
41 — Artsiom Yudovin: Data Intelligence Platform on AWS
42 — Atita Arora: Impact of Vector Search
43 — Markus Schuttler: The Shitposting AI - An Ironic Solution to Fruitless Online Debate
44 — Boris Nikolai Konrad: (How) Are We Staying Smarter Than AI?
45 — Milad Abbaszadeh, Leonie Behrens: Insights and Key Learnings on Our AI Journey
46 — Natalija Tumanova: Building a Unified Viewing Experience with Multi-Provider TV Recommendation
47 — Swanand Rao: Anatomy of Inter-Agentic APIs
48 — Bilge Ince: Putting AI in Production
49 — Frank Munz: A Journey in Space with Apache Kafka data streams from NASA
50 — JP Hwang: GenAI Beyond Prototyping: The Path to Production with AI-Native Databases
51 — Jim Sterne: Creating a Generative AI Adoption Roadmap
52 — Matt Kurleto: How to Build an Innovation Funnel That Lets You Constantly Create Strategic Value?
53 — Gunnar Morling: Data Contracts In Practice With Debezium and Apache Flink
54 — Moustafa Eshra: The Hidden Jewels to Solve Confabulation Challenges in Generative AI’s RAG Promise
55 — Philipp Kiencke: Empowering Business Users to Apply AI to SAP Data
56 — Anna Semjen: From Quick Wins to Revolutionising Productivity & CX with GenAI
57 — Pedram Birounvand: Future Data Architecture Enabled by New AI Technology
58 — Ricardo Sueiras: The State of Apache Airflow
59 — Aliaksandr Valialkin: Large-Scale Logging Made Easy
60 — Panel Discussion | Data-Driven Transformation: Organizational Changes and Leadership Insights
61 — Oleks Maistrenko: Building a Resilient, Safe and Smart City in Challenging Times: Kyiv Case Study
62 — Paul Andrew: An Evolution of Data Architectures - Lambda, Kappa, Delta, Mesh & Fabric
63 — Panel Discussion | Beyond the Hype: Realistic Expectations of AI
64 — Takahiko Saito: Empowering Real-Time ML Inference and Training with GRIS
65 — Bobur Umurzokov: Shaping the Future of Real-time Data Pipeline
66 — Hartmut Armbruster: Tips on Schema, Queries, Parallel Access, and Reactive Programming
67 — Alexey Novakov: Streamhouse Architecture with Flink and Paimon
68 — Panel Discussion | Building Effective Data Teams: Strategies for Success
69 — Justina Kasiuleviciute: RPA Implementation: Doing It Differently
70 — Marcell Igneczi: Democratizing Digitalization: Empowering Every Layer of Your Organization
71 — Marcin Szymaniuk, Bartek Sadlej: AI Chats: Challenges in Business Integration
72 — Antonio Zarauz Moreno: Transforming Financial Services with Generative AI at Credicorp
73 — Henrik Ekstam: Using Your Digital Twin to Understand the Effect of Future Changes
74 — Mauro Fusco: Unlocking Profit: How AI-Driven Budget Optimization Elevates Marketing Performance
75 — Niks Jansons: Marketing Mastery, Systems & Processes, 10X Sales Process
76 — Panel Discussion | Integrating AI with RPA