From Strategy to Engineering of GenAI Solutions

Data Strategy

You might already have well defined Data Strategy or/and Data Governance.

If not, you should start ASAP. It's an essential step to define your AI strategy. For example, deciding which data will feed which models under which conditions is key.

However, that's not enough. We have seen companies that had both in place but nobody would really care.

Data Strategy as well as Data Governance are tools that should be owned by each one in the organization, from the board to technical people.

Both frameworks should contribute to value creation, if not, they missed the point.

And a good Data Strategy is a prerequisite to any successful AI project.

HD M382 02

Designing Generative AI Solutions

Choosing the right LLMs, Transformers and AI Guardrails are difficult decisions.

Which one will fit best your enterprise and type of data?

What kind of other tooling should be used to control the results of your AI?

Bayesian Networks can provide interesting feedback using probabilistic inference.

Symbolic Logic or Expert Systems are good as sources of truth which can be applied on results produced by transformers to reduce hallucinations.

When is it useful to use Retrieval Augmented Generation (RAG)? Which Vector Database is the right one for your use case? All difficult questions.

Our approach is agent based and consists of assembling agents that do one task each, to resolve complex problems with multiple reasoning steps (aka Graph-of-Thought). Eventually for any kind of task, an agent could fulfill it.

ai has an idea

Designing & Engineering Cloud Solutions

Cloud Continuum is Cloud from Edge to On_Premises, to Private Cloud, to Public Cloud.

These architectures offer a lot of benefits like resilience and scalability but they can become rather complex.

Often they will include streaming features for almost real-time use cases.

Depending on the use cases and the constraints different architectures and technologies should be put in place.

kafka is the most famous and used event streaming platform, while akka streams is another approach to design complex and powerful streaming architectures with included back-pressure.

Kubernetes and Docker are used by a growing number of companies. Their features and ecosystems are amazing and evolving at high speed. Still, good design and container strategy needs experience.

There many new technologies that can be integrated in high-demanding solutions like Quine for Event-Streaming Graph.

33-Cloud Storage

Akka Platform

Akka is a toolkit for building high performance, distributed applications.

Akka is Reactive, distributed by default, ideal for the cloud, highly responsive, resilient by design and extremely elastic and decentralized.

It's based on the Actor Model, which is ideal to build complex distributed systems as it abstracts concurrency.

Akka is at the core of many of the most demanding platforms running all around the world (Tesla, GM, PayPal, ING, HPE, etc.).

The Akka platform fits perfectly well to design microservices, API, etc. It solves the implementation of Digital-Twins in the most elegant way.

We are offering an Akka training from which you can find the slides here.

We are an official partner of Lightbend and we would love to support you in your next Akka project.

akka

Trainings and Code Reviews

We love technologies and we believe one starts understanding a topic when she/he is confident teaching it. Therefore, we organize hands-on trainings on different technologies like Scala, Akka, AI, Spark, LLM, Transformers, Kubflow, Vector Databases, GeneAI, Data Governance, etc.

We also do architectures and code consultancy and reviews.

We provide support for Data Strategy, Data Governance, Enterprise Architecture, AI Strategy, Computer System Validation, GxP, etc.

training

Quality and Compliance

We approach software engineering with the same standard as our solutions and embed transparency, traceability, reproducibility, and replicability into our own work.

Applying agile development and deploying emerging technologies whilst making sure that your business process and data are compliant with all applicable regulations is not a vision for us – we have been doing it successfully for over twenty years.

Our team can show you how to harmonize your IT landscape and Cloud Continuum Strategy with compliance requirements without overhead.

Cybersecurity, Data Integrity, Health Regulations and Quality Risk Management belong to our basic vocabulary.

We build solutions that bridge the gap between research and development.

compliance1