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Artificial Intelligence in Treasury Management
From the optimization of liquidity management to the minimization of risks: The use of artificial intelligence can not only optimize the work of treasury departments, but also transform it. Trustbit's AI experts identify processes and develop AI-based solutions to take treasury management to the next level.
Generative AI for treasury
The use of artificial intelligence in treasury is not, strictly speaking, a brand new topic. Methodologies such as time series analysis or linear regression have long been used to forecast future key financial figures such as cash flows, exchange rate movements and interest rate changes.
Generative AI opens up new opportunities in treasury
In contrast to classic AI, generative AI is a relatively new technology for using artificial intelligence in treasury. Tools such as ChatGPT use a so-called Large Language Model (e.g.: GPT-4).
A Large Language Model is a form of artificial intelligence that has been trained to understand and generate human language. It uses large amounts of text data to learn patterns and structures in language and can generate, interpret or translate texts in natural language.
4 Practical use cases for generative AI in treasury
Generative AI can help develop models that enable even more accurate predictions of cash flows and market trends by taking into account a wider range of variables and data sources.
Generative models can automatically generate financial reports and perform complex data analyses that previously required time-consuming manual interpretation.
The ability of generative AI to simulate scenarios and data patterns can improve risk management by helping treasury managers to be better prepared for potential risks and act proactively.
AI can be used in treasury to review and analyze contracts and other important documents. This includes automatically filling out forms, recognizing patterns and highlighting key clauses that require special attention.
"Use of AI in Treasury": A seminar in cooperation with the treasury experts of Schwabe, Ley & Greiner
Would you like to learn everything about the possibilities of AI in treasury? Then the seminar "Use of AI in Treasury," which we are offering in collaboration with SLG, is just right for you!
Basics
1 Day
EUR 1.750,- plus VAT.
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Our AI in Treasury Workshop Offering:
Inhouse Dialog: Boost efficiency, innovation, and gain a competitive edge with the use of AI
What to expect:
- Fundamentals of Artificial Intelligence
- Identifying relevant business areas for AI
- Value creation and financial processes | Status quo analysis
- Goal setting and roadmap for implementation
This workshop is offered in cooperation with Schwabe, Ley & Greiner and 123C Digital Consulting statt.
Contact
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Artificial Intelligence & Data Strategy
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Artificial Intelligence & Data Science
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ChatGPT & Co: LLM Benchmarks for December
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Common Mistakes in the Development of AI Assistants
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Digital transformation in public administration
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ChatGPT & Co: LLM Benchmarks for January
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Google Workspace: AI-supported work for every company
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AIM Hackathon 2024: Sustainability Meets LLMs
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Third Place - AIM Hackathon 2024: The Venturers
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Insurance
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AI Contest - Enterprise RAG Challenge
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On-site digitization partner for insurance companies
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Let's build an Enterprise AI Assistant
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ChatGPT & Co: LLM Benchmarks for November
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Internal and external security
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Crisis management & building a sustainable future with AI
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AI & Digitization for the Transportation and Logistics Indus
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Data Science, Artificial Intelligence and Machine Learning
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GenAI Consulting
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Expanding Opportunities with Generative AI
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ChatGPT & Co: LLM Benchmarks for September
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Open-sourcing 4 solutions from the Enterprise RAG Challenge
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Digitization of the energy industry
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Business Intelligence
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ChatGPT & Co: LLM Benchmarks for October
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8 tips for developing AI assistants
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The Intersection of AI and Voice Manipulation
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So You are Building an AI Assistant?
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AI Factory for Insurance
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Database Analysis Report
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AI & Data Science
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Gemini
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Operationalization of Data Science (MLOps)
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Part 1: Data Analysis with ChatGPT
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AI Workshops for Companies
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Part 4: Save Time and Analyze the Database File
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SAM Wins First Prize at AIM Hackathon
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Part 3: How to Analyze a Database File with GPT-3.5
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Graph Technology
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IBM Watson Knowledge Studio
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Healthcare
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Creating a Social Media Posts Generator Website with ChatGPT
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5 Inconvenient Questions when hiring an AI company
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Effective claims management for insurers
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Strategic Impact of Large Language Models
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Automatic handwriting recognition for insurers
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McKesson: Spend Management cuts software costs by 15%
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License Plate Detection for Precise Car Distance Estimation
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Managed service for insurers
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Second Place - AIM Hackathon 2024: Trustpilot for ESG
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IBM Watson® Knowledge Catalog/Information Governance Catalog
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LLM Performance Series: Batching
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IBM Watson Discovery
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Standardized data management creates basis for reporting
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Application Integration & Process Automation
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IBM Cloud Pak for Data – Test-Drive
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Microsoft Azure
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Data Governance
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Demand Planning, Forecasting and Optimization
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Conception of individual Analytics and Big Data solutions
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IBM Planning Analytics mit Watson
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Paths to the cloud for insurers
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Analytics & Business Intelligence
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Make Your Value Stream Visible Through Structured Logging
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Microsoft Azure Synapse Analytics
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IBM Cloud Pak for Data Accelerator
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Gen AI Discovery Workshop
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IBM Watson Assistant
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Data Science, AI & Advanced Analytics
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IBM SPSS Modeler
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IBM InfoSphere Information Server
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IBM Cloud Pak for Data
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Flexibility in the data evaluation of a theme park
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Introduction to Functional Programming in F# – Part 8
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Data Integration, ETL and Data Virtualization
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IBM Watson Studio
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Quality scoring with predictive analytics models
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Software Asset Management
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IBM Cloud Pak for Automation
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Open Source Compliance
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