Join our monthly webinar series where we dive into product management insights and real-world AI use cases making a tangible impact right now. From smarter processes to scalable software solutions, we’re all about practical insights that tech leaders can apply in their daily business.

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TEQ Shift Webinars

**Most companies aren’t AI ready.**

They’re still testing. Waiting. Watching.

Meanwhile, the top 1%?

They’re already building—with AI integrated into workflows, delivering real value.

Join us for a sharp, practical session where we reveal what sets these fast movers apart. Backed by real data from our AI Readiness Score pre-study, we’ll unpack the 15 core principles that help tech leaders modernise software, cut costs, and scale with confidence.

**In this 30-minute webinar, you’ll learn:**

✅ Where your company stands on AI adoption (benchmark data)

✅ What the best tech orgs do differently (15 principles revealed)

✅ How to shift from “AI testing” to AI-driven delivery—safely and fast

✅ What it takes to build secure, privacy-first systems that scale

We’ve spent the last 2 months decoding their playbooks.

Introducing: The AI Readiness Score.

A benchmark framework built on 15 principles to assess — and accelerate — how tech orgs adopt AI across strategy, systems, and software.

This is for C-level tech execs and product leaders in regulated, data-sensitive industries who want to stay ahead—without breaking things.

Join Oliver Gausmann, Philipp Ringgenberg & Erwin Veldhuis live.


TEQ Shift Webinar: Accelerating the AI Journey

Want to move beyond AI experimentation and start driving real value with large language models (LLMs)?

Join our deep dive session to understand how LLMs work, what makes them so powerful—and how to put them to work across your projects, workflows, and products.

## What You’ll Learn

*   **How LLMs Actually Work**

From neural networks and embeddings to transformers and autoregressive models—get a clear, intuitive understanding of the tech under the hood.

*   **Choosing the Right Model**

Compare GPT, BERT, Gemini, and DeepSeek—know their strengths, limitations, and ideal use cases (generation vs. reasoning, speed vs. accuracy).

*   **Hands-On API Demos**

See how to generate text, translate language, filter spam, analyse sentiment, and handle massive context windows—using OpenAI and Gemini APIs.

*   **Multimodal in Action**

Discover how LLMs handle text, images, and even video—with real-world use cases, prompt engineering tips, and code you can reuse.

## Why Attend?

Gain practical insights into LLM architecture without the jargon.

Learn how to integrate LLMs into real applications—fast.

Get inspired by demos that go beyond the basics and straight into impact.

## Who Should Attend?

Engineers, tech leads, product owners, and AI-curious innovators ready to build smarter, faster, and more efficiently with language models.


Build Smarter with Large Language Models

In this session, we take a deep dive into how AI is transforming financial IT, from refactoring legacy systems to AI-powered coding and enterprise-grade RAG for better data management.

Key Takeaways:

→ AI refactoring — modernising legacy code, automating compliance and optimising performance.

→ AI-powered coding — How Bolt.new, Replit, Cursor.ai and GitHub Copilot are transforming development in finance.

→ Regulatory & Security Challenges — Navigating compliance, governance, and secure AI-assisted coding.

→ Live Demos — See AI bring an application to life and improve data workflows with RAG.

0:00 Introduction and experts

4:06 Welcome from Philipp Ringgenberg

10:02 Live Use Case, prompting a new Spotify in 5 minutes

15:45 From No-Code, Low-Code to AI-Code with cursor.ai, GitHub Copilot and more

18:37 AI Refactoring and compliance for IT Infrastructure and Software in Finance

28:25 AI engineered for Privacy, Security, and Accuracy — at scale.

46:07 Live Use Case: Going beyond RAG

52:23 Key take aways

53:25 Short Q\&A and Outro


Scaling AI in Finance — AI Refactoring and Privacy, Security, Accuracy... time to get practical

# **Join Us for Session 4 on Gen AI – No April Fool’s Joke!**

Curious how top tech teams are moving beyond basic prompts and tapping into GenAI’s full power?

Join us for Session 4 in Createq’s GenAI Series and explore how to build smarter, faster, and more reliable AI-powered solutions—with real-world demos and developer-ready tools.

## What You’ll Learn

*   **Prompt Engineering Done Right**

Discover how zero-shot, few-shot, and chain-of-thought techniques can supercharge accuracy, reduce hallucinations, and optimize costs.

*   **Retrieval-Augmented Generation (RAG)**

Feed your own knowledge into LLMs to generate answers that are contextual, source-cited, and enterprise-grade.

*   **The Future with OpenAI’s Responses API**

Learn how this new API enables function calling, web and file search, persistent memory, and more—all in a stateful, event-driven way.

*   **Run Local Models with Ollama**

See how small language models (SLMs) like Gemma run directly on your laptop—no cloud, no cost, full control.

## Why Attend?

Learn real techniques you can implement today—not just theory.

Cut through AI hype with practical tools, live demos, and API walkthroughs.

Leave with code, notebooks, and confidence to build with GenAI.

## Who Should Attend?

Developers, engineers, tech leads, and product owners who want to move from GenAI experiments to production-ready solutions.


How Prompt Engineering & RAG Make GenAI Unstoppable

Join Us for Session 4 on Gen AI – No April Fool’s Joke!

What You’ll Learn

Why Attend?

Who Should Attend?

Speaker

Vlad Ieftimie Enia

Software Engineer

Replays

TEQ Shift Webinar: Accelerating the AI Journey

Build Smarter with Large Language Models