Specific-Group Austria

Managing Partner | Data

Partner | Head of Data Platforms

BAWAG Group

Division Head Data Office & Project Governance

BAWAG P.S.K.

Data Office Division Co-Lead

Head of Data Engineering & RegTech

Head of Data Engineering

IT | Group Data Warehouse | Data Lake | CRM

Head of Big Data, DWH and CRM

Allianz

Strategic Planning & Customer Insights | Market Management
Big Data Initiative | Project Manager

Senior Manager

Deloitte Financial Advisory

Deloitte Financial Advisory | Forensic and Dispute Services

Manager

Senior Consultant

Raiffeisen Zentralbank Österreich AG

Corporate Development | Strategic Controlling

Analyst

Managing Partner | Data — we are hiring! | C-level advisor

Love both legacy systems & the modern data stack and will help you navigate through both with my amazing team.

Helping enterprises build great data products, operate & modernize a solid data landscape. 

CEO of Specific-Group Data Solutions GmbH -- a dedicated Data & AI Engineering team within the 400+ people strong and growing Specific Group that operates in 8 countries.

Amonga.com — our low-code API conversion product with great UI helping

LegacyLift.com — our complete SAS and COBOL legacy code migration product & service using AI workflows and the latest models

!HIRING! -- get in touch for roles in Data Engineering, Data Analysis, Business Analysis, Backend Development, Data Ops

On a personal note: father of two smart boys, private pilot, taekwon-do black belt

Meta (Facebook) just spent over $100,000,000 to build Llama 3 - the world's best open source AI model - so you can use it for free. Here's why they did it and how you can benefit:

Meta is the only Big Tech company committed to developing AI, particularly large language models, with an open-source approach. Why? My take: it's less about altruism and more about strategy. By making LLMs essentially free, they're aiming to crush all commercial competition.

Llama 3, Meta's latest model, was trained on 24,000 (!) GPUs (each costing around $40k). You can do the math.

Two versions are immediately available:

- Small (GPT-3.5 class, 8B)
- Medium (below GPT-4 class, 70B)

The large model (GPT-4 class) is still in training and will be released later this year.

I've played with the medium-sized model and I'm really impressed with the results. Meta has built a great open source model with really good reasoning and logic capabilities.

There are 3 ways you can use Llama 3 for your business:

1/ Llama 3 as a Service
Use Llama 3 from any cloud provider as a service. You pay by use, but the price is typically much cheaper than proprietary models like GPT-4 or Claude.
→ Use Llama 3 on Azure AI catalog: https://lnkd.in/eptszsUD

2/ Self-Hosting
If you have GPU infrastructure (on-premises or cloud), you can run Llama 3 internally at your desired scale.
→ Deploy Llama 3 on Amazon SageMaker: https://lnkd.in/ext8cmBH

3/ Desktop (Offline): 
Tools like Ollama allow you to run the small model offline on consumer hardware like current MacBooks.
→ Tutorial for Mac: https://lnkd.in/eKnPbHne

Bottom Line: There’s really no point any more in trying to train your own large language model from scratch unless you’re in Big Tech or AI research. 

Just take the models that are out there, fine-tune on your data (if necessary) and start building!

Will you use these models to augment workflows, increase productivity or simply be more creative in your business? 

The choice is yours - but the opportunity is too big to ignore.

Have you tried Llama 3 yet?

Karl Ivo 🎧 Sokolov

Team SPG kicking it off at the Business Circle  / Tech & Execution Circle conference at the wonderful Palais Niederösterreich. 

Deep dives into the current agendas in AI integration, data, technology & IT teams at the intersection of the most pressing priorities of Austria’s CIO’s and business leaders today. 

I’ll have the honor interact with amazing speakers and moderate the AI & Data track today with Julia Sterling, Chris Benfield, Ricardo Rodrigues, Dr. Isabell Claus, Betina Kitzler, Carina Zehetmaier, Dzulijana P., Luboslav Gabal, Jakub Smid. 

BC delivers yet again on an impeccable conference organization that brings the Austrian IT leadership community together. I am proud to be a part of this and contribute together with Specific-Group Austria! 

Christoph Auer Markus Eigner

Who loves legacy SAS code migration projects?

We do... but only as long as we augment the process with AI in the entire workflow—from code & architecture analysis, code commenting, code translation (!), test cases generation, documentation (text & diagrams). All assisted by AI. As good as current models and AI-integration patterns would allow for tailoring it to a particular language pair and target architecture. In this case SAS to Python/Snowpark. 

Getting ready to present our approach with www.legacylift.com to migrating legacy data transformation scripts translation at the ADV AUSTRIAN DIGITAL VALUE Data Excellence Conference. Awesome organization and amazing location, hats off to the entire ADV team and thanks for the invitation!

Taplio

Karl Ivo 🎧 Sokolov's Linkedin Analytics

Karl Ivo 🎧 Sokolov

Karl Ivo 🎧 Sokolov's Best Posts (last 30 days)

Want to drive more opportunities from LinkedIn?

Taplio

.css-1jgreyo{background-image:linear-gradient(284deg, rgba(39,43,72,1) 0%, rgba(33,47,183,1) 100%);color:transparent;-webkit-background-clip:text;background-clip:text;}Karl Ivo 🎧 Sokolov's Linkedin Analytics

Karl Ivo 🎧 Sokolov

Karl Ivo 🎧 Sokolov's Best Posts .css-qqfgvy{font-size:var(--chakra-fontSizes-md);}(last 30 days)

Want to drive more opportunities from LinkedIn?

Karl Ivo 🎧 Sokolov's Linkedin Analytics

Karl Ivo 🎧 Sokolov's Best Posts (last 30 days)