Your Partner in AI Engineering
๐ European Technology Award for AI in 2025
๐ US Most Innovative AI Brand
๐ FT 1000 2024 & 2025
#A#SoftwareDevelopment
Hereโs an interesting article by Cornel Stefanache (CTO) on something we see in modernisation projects: organisations that still have the knowledge, scattered across Confluence, Jira, Slack, and archived documents, ๐ฏ๐๐ ๐ต๐ฎ๐๐ฒ ๐น๐ผ๐๐ ๐๐ต๐ฒ ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐ ๐๐ผ ๐ป๐ฎ๐๐ถ๐ด๐ฎ๐๐ฒ ๐ถ๐.
The knowledge isnโt gone. The context is.
The article explores the shift from fragmented information to structured, evolving organisational memory. Itโs not about storing more data. Itโs about preserving meaning, context, and truth over time.
If youโve ever wondered why teams keep rediscovering the same decisions, this is worth a read.
๐ ๐๐ถ๐ป๐ธ ๐ถ๐ป ๐๐ต๐ฒ ๐ฐ๐ผ๐บ๐บ๐ฒ๐ป๐๐!
#AI #AgentMemory #TechLeadership
At AscentCore, learning doesnโt stop at theory, it happens hands-on. ๐ป
Over the past few weeks, our CTO, Cornel Stefanache, led a series of internal sessions on #Claude Code, showing our colleagues how to move faster, think more clearly, and build better software.
From breaking down complex tasks to building reusable skills and workflows, each session translated directly into sharper engineering practices.
The takeaway is simple: tools like Claude donโt replace expertise, they amplify it. And when the whole team levels up together, the impact compounds quickly.
๐ Weโve also shared our learnings on @claudeai best practices on GitHub, because great insights are worth passing on. [Link in the comments]
#AI #Claude #Engineering #AITools #Learning
๐๐๐ฒ๐ฟ๐๐ผ๐ป๐ฒ ๐ถ๐ ๐ฟ๐ฎ๐ฐ๐ถ๐ป๐ด ๐๐ผ ๐ฏ๐๐ถ๐น๐ฑ ๐๐ ๐ฎ๐ด๐ฒ๐ป๐๐, ๐ฏ๐๐ ๐๐ต๐ฎ๐ ๐ถ๐ณ ๐๐ต๐ฒ ๐ฟ๐ฒ๐ฎ๐น ๐ฐ๐ผ๐๐ ๐ถ๐๐ปโ๐ ๐ฏ๐๐ถ๐น๐ฑ๐ถ๐ป๐ด ๐๐ต๐ฒ๐บ, ๐ถ๐'๐ ๐๐ต๐ฒ๐ถ๐ฟ ๐ฝ๐น๐ฎ๐ป๐ป๐ถ๐ป๐ด?
Our CTO, Cornel Stefanache, breaks down the hidden โplanning taxโ behind AI agent features, where coordination and constant re-planning can turn a promising idea into an expensive distraction.
๐ There is also a built-in calculator to estimate how much these planning loops are actually costing you in tokens and dollars.
It's a solid reality check if you are working on AI products or considering adding agent capabilities.
โก๏ธ ๐๐ฟ๐๐ถ๐ฐ๐น๐ฒ ๐น๐ถ๐ป๐ธ ๐ถ๐ป ๐๐ต๐ฒ ๐ฐ๐ผ๐บ๐บ๐ฒ๐ป๐๐.
#AI #TechLeadership #AIEngineering #AIAgents
Balancing energy costs against raw performance is one of the hardest challenges in server management. We addressed this by developing a mathematical model that simulates power consumption behaviors under various VM loads.
By feeding this simulation into a multi-objective optimization algorithm, we moved beyond simple bin-packing. We wanted to create a solution that offers a transparent trade-off rather than a black-box output.
๐ ย This is ๐ฝ๐ฟ๐ฎ๐ฐ๐๐ถ๐ฐ๐ฎ๐น ๐๐ ๐ฒ๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด in action, delivering measurable return on investment.
If infrastructure costs are slowing your AI roadmap, send us a message. ๐ฉ
#AI #ROI #Tech #Engineering
The future of AI isnโt just smarter, itโs more human. โจ
Read our latest article to discover how #MultimodalAI is reshaping the way machines understand our world, integrating text, images, audio, video, and even sensory data to deliver context, nuance, and empathy.
๐ By 2030, experts predict multimodal AI will dominate enterprise software.
๐ Read more: [Link in comments]
The fastest path to #AI ROI isnโt building your own model, itโs making your existing tools work together.
Want real results? Think less โcustom model,โ and more โconnected system.โ
Full episode โ link in the comments.
Is AI Ready for Media?
Read our latest article and learn how media leaders are overcoming the toughest barriers to AI adoption in #media:
- Managing hallucinations & fact-checking
- Cleaning messy legacy data
- Ensuring LLM output reliability
- Moving from pilots to production
๐ Full article -> Link in the comments section
#AI #LLM #Challenges #Media
Harsh truth: Youโre not OpenAI.
Jonathan Rivers shares why media companies should stop trying to train their own models, and where the real value is instead.
๐ฅ Watch the full podcast to find out โ https://t.co/ZzNTimsJ8J
Cornel Stafanache explains a common challenge we hear from customers: consistency at scale.
When you're running #LLMs thousands or millions of times, even a small error rate becomes a massive trust issue.
Our tools go beyond raw model access, we bake in best practices like chain of thought and automated response validation, so you get:
โ More reliable outputs
โ Clear markers of what can and canโt be trusted
โ Deployment-ready infrastructure in 24 hours
Watch the clip to learn how we help teams scale LLM use without compromising on trust.
#LLM #AI #DataQuality #EnterpriseAI
๐#Eastern Europe is becoming a strong hub for #AI & #ML talent.
Countries like Poland, Romania, and Ukraine offer skilled professionals at competitive ratesโideal for startups and companies seeking quality with cost-efficiency.
Explore the global overview โฌ๏ธ
#TechBehemoths
Whatโs the future of #AI in media? ๐ค
Jonathan Rivers breaks it down:
๐ข Unlocking creativity
๐ข Revolutionizing content distribution
๐ข Transforming data into powerful insights
#AI itโs not about replacing humans, itโs about scaling ideas, reach, and impact.
๐ง Listen to the full podcast to discover why #distribution and #syndication are where AI will truly reshape the media industry.
Full podcast โ https://t.co/ZzNTimsJ8J
#AI #Media #FutureOfMedia
โMy job as a #CTO in the media space is to get my customers the information they need in a manner they can consume it.โ
Jonathan Rivers shares how training an #LLM on decades of proprietary content unlocked real value.
Whether for internal teams or end users, AI-powered solutions are transforming how information is accessed and consumed.
๐ง Full podcast โ Link in the comments
#AI #CTO #LLM #Media #Enterprise