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!

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.

Responsible AI: A Guide to Ethical AI Development

Responsible AI is a key requirement in the development and use of AI technologies. You can find everything you need to know here!

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...

ChatGPT & Co: LLM Benchmarks for November

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

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.

ChatGPT & Co: LLM Benchmarks for October

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

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.

Responsible AI: A Guide to Ethical AI Development

Responsible AI is a key requirement in the development and use of AI technologies. You can find everything you need to know here!

AI & Data Science

The amount of data that companies produce and process every day is constantly growing. This data contains valuable information about customers, markets, business processes and much more. But how can companies use this data effectively to make better decisions, improve their products and services and tap into new business opportunities?

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.

Google Threat Intelligence

Threat intelligence at Google scale for you and your business!

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.

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.

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.

Kompetenz

AI - A technology is revolutionizing our everyday lives

For ARS, AI is an increasingly natural and organic part of software engineering. This is particularly true in cases where it is an integral part of applications and functions.

Jonathan ChannonBlog

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.

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.

Nina DemuthBlog

They promised it would be the next big thing!

Haven’t we all been there? We have all been promised by teachers, colleagues or public speakers that this or that was about to be the next big thing in tech that would change the world as we know it.

AI for social good

Discover how leading companies are already profiting from Gen AI!

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.

Felix KrauseBlog

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.

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.

Workshop

AI Workshops for Companies

Whether it's the basics of AI, prompt engineering, or potential scouting: our diverse AI workshop offerings provide the right content for every need.

Third Place - AIM Hackathon 2024: The Venturers

ESG reports are often filled with vague statements, obscuring key facts investors need. This team created an AI prototype that analyzes these reports sentence-by-sentence, categorizing content to produce a "relevance map".

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.

Kompetenz

GenAI Consulting

ChatGPT, Bard & Co. have shown at the latest: Generative AI has the potential to revolutionize the world of work. With GenAI Consulting, we support you in exploiting this potential for your company.

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.

Ways of Creating Single Case Discriminated Unions in F#

There are quite a few ways of creating single case discriminated unions in F# and this makes them popular for wrapping primitives. In this post, I will go through a number of the approaches that I have seen.

Matus ZilinskyBlog

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.

Sebastian BelczykBlog

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.

SAM Wins First Prize at AIM Hackathon

The winning team of the AIM Hackathon, nexus. Group AI, developed SAM, an AI-powered ESG reporting platform designed to help companies streamline their sustainability compliance.

AI Factory for Insurance

The AI Factory for Insurance is an innovative organisational model combined with a flexible, modular IT architecture. It is an innovation and implementation factory to systematically develop, train and deploy AI models in digital business processes.

Second Place - AIM Hackathon 2024: Trustpilot for ESG

The NightWalkers designed a scalable tool that assigns trustworthiness scores based on various types of greenwashing indicators, including unsupported claims and inaccurate data.

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.

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.

The ROI of Gen AI

Discover how leading companies are already profiting from Gen AI!

Bernhard SchauerBlog

ADRs as a Tool to Build Empowered Teams

Learn how we use Architecture Decision Records (ADRs) to build empowered, autonomous teams, enhancing decision-making and collaboration.

On-site digitization partner for insurance companies

As TIMETOACT GROUP, we are one of the leading digitization partners for IT solutions in Germany, Austria and Switzerland. As your partner, we are there for you at 17 locations and will find the right solution on the path to digitization - gladly together in a personal exchange on site.

Effective claims management for insurers

Insurers have the challenge of helping people quickly and reliably in the event of a claim. At the same time, they have to keep the costs of claims and benefits management low so that insurance premiums remain affordable.

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.

Laura GaetanoBlog

5 lessons from running a (remote) design systems book club

Last year I gifted a design systems book I had been reading to a friend and she suggested starting a mini book club so that she’d have some accountability to finish reading the book. I took her up on the offer and so in late spring, our design systems book club was born. But how can you make the meetings fun and engaging even though you're physically separated? Here are a couple of things I learned from running my very first remote book club with my friend!

Kompetenz

Graph Technology

We help you harness the power of graphs to transform your business. Our expertise spans from graph database modelling and graph data science to generative AI.

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.

Introduction to Partial Function Application in F#

Partial Function Application is one of the core functional programming concepts that everyone should understand as it is widely used in most F# codebases.In this post I will introduce you to the grace and power of partial application. We will start with tupled arguments that most devs will recognise and then move onto curried arguments that allow us to use partial application.

AI & Digitization for the Transportation and Logistics Indus

Digitalisierung und Transparenz der Prozesse sowie automatisierte Unterstützung bei der Optimierung können Logistikunternehmen helfen, den Spagat zwischen Kosten und Leistung besser zu bewältigen, um langfristig als wertvoller Partner der Wirtschaft zu agieren.

Gemini

Experience Gemini in Google Cloud and revamp the way you work. Discover innovative Generative AI functions for maximum efficiency.

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.

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.

Felix KrauseBlog

AIM Hackathon 2024: Sustainability Meets LLMs

Focusing on impactful AI applications, participants addressed key issues like greenwashing detection, ESG report relevance mapping, and compliance with the European Green Deal.

Digital transformation in public administration

The digital transformation will massively change the world of work, especially in public administration. We support federal, state and local authorities in the strategic and technical implementation of their administrative modernisation projects.

Leistung

Leistung

Mastering digital transformation in insurance

Versicherer haben daher bereits die Chancen und Notwendigkeiten der Digitalisierung größtenteils erkannt. Trotzdem ist noch viel zu tun, denn Digitalisierung funktioniert nicht von einem Tag auf den anderen – besonders bei Versicherungen, bei denen es viele altmodische und langsame Prozesse gibt.

Interactive online portal identifies suitable employees

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

Inbox helps to clear the mind

I hate distractions. They can easily ruin my day when I'm in the middle of working on a cool project. They do that by overloading my mind, buzzing around inside me, and just making me tired. Even though we can think about several things at once, we can only do one thing at a time.

Artificial Intelligence in Treasury Management

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

Decision Automation

Companies today are faced with the challenge of making increasingly complex decisions in a shorter time frame in order to remain competitive and act in a customer-oriented manner. At the same time, they have a wealth of data at their disposal that can potentially provide valuable insights, but is often difficult to analyze and use. Decision automation is an approach that aims to combine human intelligence with machine algorithms to support or automate better and faster decisions.

Internal and external security

Defense forces and police must protect citizens and the state from ever new threats. Modern IT & software solutions support them in this task.

Data Insights

With Data Insights, we help you step by step with the appropriate architecture to use new technologies and develop a data-driven corporate culture: from the development of new data sources, to exploratory analysis to gain new insights, to predictive models.

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.

Workshop

Gen AI Discovery Workshop

Learn how to push your creative boundaries with Cloudpilots' innovative solution in the Discovery Workshop for Generative AI.

Bernhard SchauerBlog

Isolating legacy code with ArchUnit tests

Clear boundaries in code are important ... and hard. ArchUnit allows you to capture the structure your team agreed on in tests.

Learning + Sharing at TIMETOACT GROUP Austria

Discover how we fosters continuous learning and sharing among employees, encouraging growth and collaboration through dedicated time for skill development.

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.

Christian FolieBlog

Designing and Running a Workshop series: An outline

Learn how to design and execute impactful workshops. Discover tips, strategies, and a step-by-step outline for a successful workshop series.

Christian FolieBlog

The Power of Event Sourcing

This is how we used Event Sourcing to maintain flexibility, handle changes, and ensure efficient error resolution in application development.

So, I wrote a book

Join me as I share the story of writing a book on F#. Discover the challenges, insights, and triumphs along the way.

Introduction to Functional Programming in F# – Part 2

Explore functions, types, and modules in F#. Enhance your skills with practical examples and insights in this detailed guide.

Jonathan ChannonBlog

Understanding F# applicatives and custom operators

In this post, Jonathan Channon, a newcomer to F#, discusses how he learnt about a slightly more advanced functional concept — Applicatives.

Peter SzarvasBlog

Why Was Our Project Successful: Coincidence or Blueprint?

“The project exceeded all expectations,” is one among our favourite samples of the very positive feedback from our client. Here's how we did it!

11 reasons to switch to Google Workspace

There are many good reasons to switch to Google Workspace. We have summarized the 11 most important ones for you here.

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.

Laura GaetanoBlog

My Weekly Shutdown Routine

Discover my weekly shutdown routine to enhance productivity and start each week fresh. Learn effective techniques for reflection and organization.

Introduction to Functional Programming in F# – Part 12

Explore reflection and meta-programming in F#. Learn how to dynamically manipulate code and enhance flexibility with advanced techniques.

Consistency and Aggregates in Event Sourcing

Learn how we ensures data consistency in event sourcing with effective use of aggregates, enhancing system reliability and performance.

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.

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.

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.

Daniel PuchnerBlog

How we discover and organise domains in an existing product

Software companies and consultants like to flex their Domain Driven Design (DDD) muscles by throwing around terms like Domain, Subdomain and Bounded Context. But what lies behind these buzzwords, and how these apply to customers' diverse environments and needs, are often not as clear. As it turns out it takes a collaborative effort between stakeholders and development team(s) over a longer period of time on a regular basis to get them right.

Using Discriminated Union Labelled Fields

A few weeks ago, I re-discovered labelled fields in discriminated unions. Despite the fact that they look like tuples, they are not.

Nina DemuthBlog

7 Positive effects of visualizing the interests of your team

Interests maps unleash hidden potentials and interests, but they also make it clear which topics are not of interest to your colleagues.

Balazs MolnarBlog

Learn & Share video Obsidian

Knowledge is very powerful. So, finding the right tool to help you gather, structure and access information anywhere and anytime, is rather a necessity than an option. You want to accomplish your tasks better? You want a reliable tool which is easy to use, extendable and adaptable to your personal needs? Today I would like to introduce you to the knowledge management system of my choice: Obsidian.