8 tips for developing AI assistants

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!

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.

TIMETOACT starts with the implementation of ESG-Suit

Compliance with ESG and sustainability standards is mandatory for companies in order to meet the requirements of the EU's Corporate Sustainability Reporting Directive (CSRD).

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.

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.

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.

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.

Modernes Business Intelligence und Data Warehouse System

IBM Cloud Pak for Data System enables healthcare group AGAPLESION to effectively manage data and perform complex analyses.

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.

Managed service support for optimal license management

To ensure software compliance, TIMETOACT supports FUNKE Mediengruppe with a SAM Managed Service for Microsoft, Adobe, Oracle and IBM.

Interactive online portal identifies suitable employees

TIMETOACT digitizes several test procedures for KI.TEST to determine professional intelligence and personality.

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.

Martin LangeBlog

License Management – Everything you need to know

License management is not only relevant in terms of compliance but can also minimize costs and risks. Read more in the article.

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.

Managed Service: Mailroom

In the TIMETOACT mailroom, business documents are converted into data in a highly efficient manner and returned securely to the end customer for further processing.

Software, Mobile and Web App Development

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

Cloud Transformation & Container Technologies

Public, private or hybrid? We can help you develop your cloud strategy so you can take full advantage of the technology.

Application Integration & Process Automation

Digitizing and improving business processes and responding agilely to change – more and more companies are facing these kind of challenges. This makes it all the more important to take new business opportunities through integrated and optimized processes based on intelligent, digitally networked systems.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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").

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.

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.

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.

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.

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.

IBM Watson Studio

IBM Watson Studio is an integrated solution for implementing a data science landscape. It helps companies to structure and simplify the process from exploratory analysis to the implementation and operationalisation of the analysis processes.

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.

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.

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.

Microsoft Power BI

Power BI is the ideal complement to the Microsoft-centric analytic solution in the enterprise. As a standalone version "Power BI Desktop" it is free of charge. With Power BI, companies create quick, comprehensive and meaningful visual analyses.

IBM Cognos Analytics 11

IBM Cognos Analytics is a central platform for the provision of dispositive information in the company. With the reporting and analysis functions of IBM Cognos, the relevant information can be prepared and used throughout the company.

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.

IBM Planning Analytics mit Watson

IBM Planning Analytics with Watsons enables the automation of planning, budgeting, forecasting and analysis processes using IBM TM1.

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.

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.

Talend Application Integration / ESB

With Talend Application Integration, you create a service-oriented architecture and connect, broker & manage your services and APIs in real time.

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!

Interactive stock map for Schweizerischen Bundesbahnen

TIMETOACT develops an interactive monitoring map to visualize the central alarm management and service monitoring for the Swiss Federal Railways, in short: SBB.

Less risk and cost for HDI with ISO/IEC 19770-1

HDI AG was the first end-user organization worldwide to be certified according to ISO/IEC 19770-1 in February 2023. TIMETOACT GROUP accompanied HDI with ITAM maturity analyses, identification and implementation of optimization measures as well as in obtaining the certification.

Central Capacity Management for Sunrise

Know what's coming: TIMETOACT simplifies and centralizes Sunrise's network capacity management.