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Artificial Intelligence: Workshops for Professionals and Executives

Our AI workshops are ideal for companies looking to explore and leverage the full potential of artificial intelligence.Book now!

We offer three AI workshop modules that can be booked individually or in combination.

Foundations of AI for Businesses

This workshop is designed for companies planning to implement AI or seeking to learn about the key aspects of artificial intelligence.

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Prompt Engineering Workshop

For anyone who regularly works with AI-powered language models (e.g., ChatGPT) and wants to improve their efficiency in everyday use.

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AI Potential Scouting Workshop

Executives or domain experts who want to identify which areas of their company can be made more efficient through AI.

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AI Fundamentals for Businesses

This workshop is designed for companies planning to implement AI or looking to learn about the key aspects of artificial intelligence.

After this workshop, you will have a solid understanding of the potential applications of AI in your company. You will be able to assess which areas can benefit from AI and will be familiar with the essential legal frameworks.

What to expect in this workshop:  
- How AI systems work  
- The 4 stages of AI utilization and their requirements  
- Application areas across various industries  
- Important legal aspects, such as data protection and compliance  
- Technological prerequisites for implementing AI solutions"

Full-day workshop

Duration

Remote or on-site

Location

€ 5.000,00

Pricing
Book now

Prompt Engineering Workshop

For those who regularly work with AI-powered language models (e.g., ChatGPT) and want to improve their efficiency in everyday use.

You will be able to use tools like ChatGPT in your work environment effectively to achieve fast, precise, and high-quality results. This workshop will help you save time and improve the quality of your work processes.

What to expect in this workshop:  
We will show you how to optimize your workflows and achieve better results through targeted inputs (prompts):  

- Best practices for working with language models like ChatGPT  
- Tips and tricks for crafting effective prompts  
- Practical examples for everyday workplace use  
- Tools and techniques to improve output quality

Remote or on-site

Location

€ 5.000,00

Pricing
Book now

AI Potential Scouting Workshop

Ideal for executives, innovation managers, and industry experts seeking to explore how AI can enhance efficiency across different areas of their company.

You will receive specific, actionable recommendations on how and where AI can drive the most significant efficiency improvements in your company. Together, we will craft a strategy to fully capitalize on these opportunities.

What to expect in this workshop:
In this workshop, we will collaborate to identify which workflows in your company can be optimized through AI. You will gain insights into:

- Discovering AI opportunities within existing processes  
- Prioritizing the most impactful application areas  
- Developing a strategic roadmap for the successful implementation of AI solutions

Tailored to your specific needs.

Duration (to be discussed in a preliminary call)

Remote or on-site

Location

Upon request

Pricing
Book now

Interested in our AI workshops? Contact us!

* required

Wir verwenden die von Ihnen an uns gesendeten Angaben nur, um auf Ihren Wunsch hin mit Ihnen Kontakt im Zusammenhang mit Ihrer Anfrage aufzunehmen. Alle weiteren Informationen können Sie unseren Datenschutzhinweisen entnehmen.

Rinat AbdullinRinat AbdullinBlog
Blog

Let's build an Enterprise AI Assistant

In the previous blog post we have talked about basic principles of building AI assistants. Let’s take them for a spin with a product case that we’ve worked on: using AI to support enterprise sales pipelines.

Blog
Blog

ChatGPT & Co: LLM Benchmarks for September

Find out which large language models outperformed in the September 2024 benchmarks. Stay informed on the latest AI developments and performance metrics.

Rinat AbdullinRinat AbdullinBlog
Blog

So You are Building an AI Assistant?

So you are building an AI assistant for the business? This is a popular topic in the companies these days. Everybody seems to be doing that. While running AI Research in the last months, I have discovered that many companies in the USA and Europe are building some sort of AI assistant these days, mostly around enterprise workflow automation and knowledge bases. There are common patterns in how such projects work most of the time. So let me tell you a story...

Rinat AbdullinRinat AbdullinBlog
Blog

The Intersection of AI and Voice Manipulation

The advent of Artificial Intelligence (AI) in text-to-speech (TTS) technologies has revolutionized the way we interact with written content. Natural Readers, standing at the forefront of this innovation, offers a comprehensive suite of features designed to cater to a broad spectrum of needs, from personal leisure to educational support and commercial use. As we delve into the capabilities of Natural Readers, it's crucial to explore both the advantages it brings to the table and the ethical considerations surrounding voice manipulation in TTS technologies.

Rinat AbdullinRinat AbdullinBlog
Blog

Strategic Impact of Large Language Models

This blog discusses the rapid advancements in large language models, particularly highlighting the impact of OpenAI's GPT models.

Matus ZilinskyBlog
Blog

Creating a Social Media Posts Generator Website with ChatGPT

Using the GPT-3-turbo and DALL-E models in Node.js to create a social post generator for a fictional product can be really helpful. The author uses ChatGPT to create an API that utilizes the openai library for Node.js., a Vue component with an input for the title and message of the post. This article provides step-by-step instructions for setting up the project and includes links to the code repository.

Rinat AbdullinRinat AbdullinBlog
Blog

LLM Performance Series: Batching

Beginning with the September Trustbit LLM Benchmarks, we are now giving particular focus to a range of enterprise workloads. These encompass the kinds of tasks associated with Large Language Models that are frequently encountered in the context of large-scale business digitalization.

Aqeel AlazreeBlog
Blog

Part 4: Save Time and Analyze the Database File

ChatGPT-4 enables you to analyze database contents with just two simple steps (copy and paste), facilitating well-informed decision-making.

Aqeel AlazreeBlog
Blog

Part 3: How to Analyze a Database File with GPT-3.5

In this blog, we'll explore the proper usage of data analysis with ChatGPT and how you can analyze and visualize data from a SQLite database to help you make the most of your data.

Aqeel AlazreeBlog
Blog

Part 1: Data Analysis with ChatGPT

In this new blog series we will give you an overview of how to analyze and visualize data, create code manually and how to make ChatGPT work effectively. Part 1 deals with the following: In the data-driven era, businesses and organizations are constantly seeking ways to extract meaningful insights from their data. One powerful tool that can facilitate this process is ChatGPT, a state-of-the-art natural language processing model developed by OpenAI. In Part 1 pf this blog, we'll explore the proper usage of data analysis with ChatGPT and how it can help you make the most of your data.

Rinat AbdullinRinat AbdullinBlog
Blog

Open-sourcing 4 solutions from the Enterprise RAG Challenge

Our RAG competition is a friendly challenge different AI Assistants competed in answering questions based on the annual reports of public companies.

Christoph HasenzaglChristoph HasenzaglBlog
Blog

Common Mistakes in the Development of AI Assistants

How fortunate that people make mistakes: because we can learn from them and improve. We have closely observed how companies around the world have implemented AI assistants in recent months and have, unfortunately, often seen them fail. We would like to share with you how these failures occurred and what can be learned from them for future projects: So that AI assistants can be implemented more successfully in the future!

Jörg EgretzbergerJörg EgretzbergerBlog
Blog

8 tips for developing AI assistants

AI assistants for businesses are hype, and many teams were already eagerly and enthusiastically working on their implementation. Unfortunately, however, we have seen that many teams we have observed in Europe and the US have failed at the task. Read about our 8 most valuable tips, so that you will succeed.

Branche
Branche

Artificial Intelligence in Treasury Management

Optimize treasury processes with AI: automated reports, forecasts, and risk management.

Rinat AbdullinRinat AbdullinBlog
Blog

5 Inconvenient Questions when hiring an AI company

This article discusses five questions you should ask when buying an AI. These questions are inconvenient for providers of AI products, but they are necessary to ensure that you are getting the best product for your needs. The article also discusses the importance of testing the AI system on your own data to see how it performs.

Felix KrauseBlog
Blog

License Plate Detection for Precise Car Distance Estimation

When it comes to advanced driver-assistance systems or self-driving cars, one needs to find a way of estimating the distance to other vehicles on the road.

Aqeel AlazreeBlog
Blog

Database Analysis Report

This report comprehensively analyzes the auto parts sales database. The primary focus is understanding sales trends, identifying high-performing products, Analyzing the most profitable products for the upcoming quarter, and evaluating inventory management efficiency.

Christian FolieBlog
Blog

Running Hybrid Workshops

When modernizing or building systems, one major challenge is finding out what to build. In Pre-Covid times on-site workshops were a main source to get an idea about ‘the right thing’. But during Covid everybody got used to working remotely, so now the question can be raised: Is it still worth having on-site, physical workshops?

TIMETOACT
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IBM Cloud Pak for Data – Test-Drive

By making our comprehensive demo and customer data platform available, we want to offer these customers a way to get a very quick and pragmatic impression of the technology with their data.

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IBM Cloud Pak for Data Accelerator

For a quick start in certain use cases, specifically for certain business areas or industries, IBM offers so-called accelerators based on the "Cloud Pak for Data" solution, which serve as a template for project development and can thus significantly accelerate the implementation of these use cases. The platform itself provides all the necessary functions for all types of analytics projects, and the accelerators provide the respective content.

TIMETOACT
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Headerbild IBM Cloud Pak for Data
Technologie

IBM Cloud Pak for Data

The Cloud Pak for Data acts as a central, modular platform for analytical use cases. It integrates functions for the physical and virtual integration of data into a central data pool - a data lake or a data warehouse, a comprehensive data catalogue and numerous possibilities for (AI) analysis up to the operational use of the same.

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Data Integration, ETL and Data Virtualization

While the term "ETL" (Extract - Transform - Load / or ELT) usually described the classic batch-driven process, today the term "Data Integration" extends to all methods of integration: whether batch, real-time, inside or outside a database, or between any systems.

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Operationalization of Data Science (MLOps)

Data and Artificial Intelligence (AI) can support almost any business process based on facts. Many companies are in the phase of professional assessment of the algorithms and technical testing of the respective technologies.

TIMETOACT
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IBM Cloud Pak for Application

The IBM Cloud Pak for Application provides a solid foundation for developing, deploying and modernising cloud-native applications. Since agile working is essential for a faster release cycle, ready-made DevOps processes are used, among other things.

TIMETOACT
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IBM Cloud Pak for Automation

The IBM Cloud Pak for Automation helps you automate manual steps on a uniform platform with standardised interfaces. With the Cloud Pak for Business Automation, the entire life cycle of a document or process can be mapped in the company.

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Headerbild IBM Cloud Pak for Data System
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IBM Cloud Pak for Data System

With the Cloud Pak for Data System (CP4DS), IBM provides the optimal hardware for the use of all Cloud Pak for Data functions industry-wide and thus continues the series of ready-configured systems ("Appliance" or "Hyperconverged System").

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Data Science, Artificial Intelligence and Machine Learning

For some time, Data Science has been considered the supreme discipline in the recognition of valuable information in large amounts of data. It promises to extract hidden, valuable information from data of any structure.

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Referenz
Referenz

Standardized data management creates basis for reporting

TIMETOACT implements a higher-level data model in a data warehouse for TRUMPF Photonic Components and provides the necessary data integration connection with Talend. With this standardized data management, TRUMPF will receive reports based on reliable data in the future and can also transfer the model to other departments.

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Data Governance

Data Governance describes all processes that aim to ensure the traceability, quality and protection of data. The need for documentation and traceability increases exponentially as more and more data from different sources is used for decision-making and as a result of the technical possibilities of integration in Data Warehouses or Data Lakes.

TIMETOACT
Technologie
Technologie

Microsoft Azure Synapse Analytics

With Synapse, Microsoft has provided a platform for all aspects of analytics in the Azure Cloud. Within the platform, Synapse includes services for data integration, data storage of any size and big data analytics. Together with existing architecture templates, a solution for every analytical use case is created in a short time.

TIMETOACT
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IBM Watson Discovery

With Watson Discovery, company data is searched using modern AI to extract information. On the one hand, the AI uses already trained methods to understand texts; on the other hand, it is constantly developed through new training on the company data, its structure and content, thus constantly improving the search results.

TIMETOACT
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IBM Watson® Knowledge Catalog/Information Governance Catalog

Today, "IGC" is a proprietary enterprise cataloging and metadata management solution that is the foundation of all an organization's efforts to comply with rules and regulations or document analytical assets.

TIMETOACT
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Microsoft Azure

Azure is the cloud offering from Microsoft. Numerous services are provided in Azure, not only for analytical requirements. Particularly worth mentioning from an analytical perspective are services for data storage (relational, NoSQL and in-memory / with Microsoft or OpenSource technology), Azure Data Factory for data integration, numerous services including AI and, of course, services for BI, such as Power BI or Analysis Services.

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Dashboards & Reports

The discipline of Business Intelligence provides the necessary means for accessing data. In addition, various methods have developed that help to transport information to the end user through various technologies.

TIMETOACT
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Demand Planning, Forecasting and Optimization

After the data has been prepared and visualized via dashboards and reports, the task is now to use the data obtained accordingly. Digital planning, forecasting and optimization describes all the capabilities of an IT-supported solution in the company to support users in digital analysis and planning.

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Business Intelligence

Business Intelligence (BI) is a technology-driven process for analyzing data and presenting usable information. On this basis, sound decisions can be made.

TIMETOACT
Technologie
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Technologie

IBM Watson Assistant

Watson Assistant identifies intention in requests that can be received via multiple channels. Watson Assistant is trained based on real-live requests and can understand the context and intent of the query based on the acting AI. Extensive search queries are routed to Watson Discovery and seamlessly embedded into the search result.

TIMETOACT
Technologie
Headerbild zu IBM Watson Knowledge Studio
Technologie

IBM Watson Knowledge Studio

In IBM Watson Knowledge Studio, you train an Artificial Intelligence (AI) on specialist terms of your company or specialist area ("domain knowledge"). In this way, you lay the foundation for automated text processing of extensive, subject-related documents.

TIMETOACT
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IBM InfoSphere Information Server

IBM Information Server is a central platform for enterprise-wide information integration. With IBM Information Server, business information can be extracted, consolidated and merged from a wide variety of sources.

Rinat AbdullinRinat AbdullinBlog
Blog

Using NLP libraries for post-processing

Learn how to analyse sticky notes in miro from event stormings and how this analysis can be carried out with the help of the spaCy library.

Sebastian BelczykBlog
Blog

Building A Shell Application for Micro Frontends | Part 4

We already have a design system, several micro frontends consuming this design system, and now we need a shell application that imports micro frontends and displays them.

TIMETOACT
Technologie
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IBM SPSS Modeler

IBM SPSS Modeler is a tool that can be used to model and execute tasks, for example in the field of Data Science and Data Mining, via a graphical user interface.

Laura GaetanoBlog
Blog

Using a Skill/Will matrix for personal career development

Discover how a Skill/Will Matrix helps employees identify strengths and areas for growth, boosting personal and professional development.

TIMETOACT
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Header Konnzeption individueller Business Intelligence Lösungen
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Conception of individual Analytics and Big Data solutions

We determine the best approach to develop an individual solution from the professional, role-specific requirements – suitable for the respective situation!

TIMETOACT
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Decision Optimization

Mathematical algorithms enable fast and efficient improvement of partially contradictory specifications. As an integral part of the IBM Data Science platform "Cloud Pak for Data" or "IBM Watson Studio", decision optimisation has been decisively expanded and embedded in the Data Science process.

TIMETOACT
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Microsoft SQL Server

SQL Server 2019 offers companies recognized good and extensive functions for building an analytical solution. Both data integration, storage, analysis and reporting can be realized, and through the tight integration of PowerBI, extensive visualizations can be created and data can be given to consumers.

Referenz
Referenz

Automated Planning of Transport Routes

Efficient transport route planning through automation and seamless integration.

Service
Service

Software, Mobile and Web App Development

Standard software often cannot completely fulfill a company's own requirements - TIMETOACT therefore develops customized software solutions.

TIMETOACT
Referenz
Referenz

Flexibility in the data evaluation of a theme park

With the support of TIMETOACT, an theme park in Germany has been using TM1 for many years in different areas of the company to carry out reporting, analysis and planning processes easily and flexibly.

Ian RussellIan RussellBlog
Blog

Introduction to Functional Programming in F# – Part 8

Discover Units of Measure and Type Providers in F#. Enhance data management and type safety in your applications with these powerful tools.

Ian RussellIan RussellBlog
Blog

Introduction to Functional Programming in F# – Part 4

Unlock F# collections and pipelines. Manage data efficiently and streamline your functional programming workflow with these powerful tools.

Ian RussellIan RussellBlog
Blog

Introduction to Functional Programming in F# – Part 6

Learn error handling in F# with option types. Improve code reliability using F#'s powerful error-handling techniques.

Ian RussellIan RussellBlog
Blog

Introduction to Web Programming in F# with Giraffe – Part 2

In this series we are investigating web programming with Giraffe and the Giraffe View Engine plus a few other useful F# libraries.

Aqeel AlazreeBlog
Blog

Part 2: Data Analysis with powerful Python

Analyzing and visualizing data from a SQLite database in Python can be a powerful way to gain insights and present your findings. In Part 2 of this blog series, we will walk you through the steps to retrieve data from a SQLite database file named gold.db and display it in the form of a chart using Python. We'll use some essential tools and libraries for this task.

TIMETOACT
Technologie
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IBM Db2

The IBM Db2database has been established on the market for many years as the leading data warehouse database in addition to its classic use in operations.

Ian RussellIan RussellBlog
Blog

Introduction to Functional Programming in F# – Part 10

Discover Agents and Mailboxes in F#. Build responsive applications using these powerful concurrency tools in functional programming.

Ian RussellIan RussellBlog
Blog

Introduction to Functional Programming in F# – Part 7

Explore LINQ and query expressions in F#. Simplify data manipulation and enhance your functional programming skills with this guide.

TIMETOACT
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Talend Data Fabric

The ultimate solution for your data needs – Talend Data Fabric includes everything your (Data Integration) heart desires and serves all integration needs relating to applications, systems and data.

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Headerbild Talend Data Integration
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Talend Data Integration

Talend Data Integration offers a highly scalable architecture for almost any application and any data source - with well over 900 connectors from cloud solutions like Salesforce to classic on-premises systems.

Ian RussellIan RussellBlog
Blog

Introduction to Functional Programming in F# – Part 9

Explore Active Patterns and Computation Expressions in F#. Enhance code clarity and functionality with these advanced techniques.

Jonathan ChannonBlog
Blog

Understanding F# Type Aliases

In this post, we discuss the difference between F# types and aliases that from a glance may appear to be the same thing.

TIMETOACT
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Headerbild zu Talend Real-Time Big Data Platform
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Talend Real-Time Big Data Platform

Talend Big Data Platform simplifies complex integrations so you can successfully use Big Data with Apache Spark, Databricks, AWS, IBM Watson, Microsoft Azure, Snowflake, Google Cloud Platform and NoSQL.

TIMETOACT
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IBM Netezza Performance Server

IBM offers Database technology for specific purposes in the form of appliance solutions. In the Data Warehouse environment, the Netezza technology, later marketed under the name "IBM PureData for Analytics", is particularly well known.