Beetroot

02/06/2026

🏆 We're happy to share that Beetroot has been selected as one of the winners of Ukrainian Design: The Very Best Of for the Reroot app design.

For us, this recognition is first and foremost about the idea behind the project: supporting the long-term recovery of Ukraine. Seeing this approach acknowledged by the design community is both encouraging and meaningful.

🔗 Find out more about the award via the link in the comments

28/05/2026

From steam power to electricity, from the internet to AI-driven automation, every industrial revolution has changed how we live and work. But what happens when robots begin learning alongside humans?

In this clip, Derrick Swanepoel reflects on the transition from Industry 4.0 toward Industry 5.0.

Watch the full podcast episode for a deeper look into human–robot interaction, workforce transformation, and the systems powering the next wave of robotics and AI adoption. 🔗 Link in the comments 👇

26/05/2026

Your dashboards work, but your teams still don’t trust the numbers.

From conflicting metrics and broken pipelines to ML systems with unclear business impact, many enterprise data challenges are structural rather than purely technical.

What changes when companies start treating data as an operational product instead of a reporting byproduct? And why do so many data and AI initiatives struggle to create measurable business value?

We explore 10 common data management problems enterprises keep running into, along with practical ways to approach them.

🔗 Link in the comments ⬇️

21/05/2026

Most supply chains still rely on data that is already outdated by the time decisions are made.

Our recent article explores where AI is already making a difference in logistics and supply chain operations: from demand forecasting and inventory optimization to route planning and disruption detection.

🔗 Read the full piece on our blog: https://beetroot.co/ai-ml/practical-ai-applications-for-autonomous-supply-chain-management/

14/05/2026

If RAG is on your radar, this Medium piece by Den Pluhatar is worth a read.

A practical AI lead’s perspective on six retrieval-augmented generation strategies and where each one falls short.

Retrieval-augmented generation (RAG) has become a foundation for building high-accuracy, reliable systems on top of large language models…

12/05/2026

In this article, Nick Tykhomyrov explores why so many AI assistants never make it into production, and what teams that succeed tend to do differently.

From governance and integration to UX and change management, it's a grounded look at what actually moves projects forward.

🔗 Read it on our blog: https://beetroot.co/ai-ml/conversational-ai-for-business-why-projects-stall/

05/05/2026

What starts as a DevOps setup often turns into something much more layered.

In this piece, Pontus Siggelin looks at how roles like SRE, platform engineering, and cloud architecture come into play. If your delivery is slowing down or ownership feels blurred, this overview might help put things into perspective.

🔗 Read the full article on our blog:

The must-have cloud native team roles for successful delivery: platform engineers, SREs, DevOps specialists & more. Build a high-performing cloud native development team that scales.

30/04/2026

For many small businesses, access to high-level financial insight has always been limited. In this clip, James Robson explains how digital tools are giving small businesses capabilities that once required a full CFO function.

🎧 Listen to the full podcast episode: https://beetroot.co/podcast/ai-in-finance-today-from-credit-scoring-to-capital-strategy/

23/04/2026

📈 In our recent article, we explore how predictive analytics in marketing can improve ROI through smarter lead scoring, churn prevention, customer lifetime value, and more informed budget decisions.

A useful overview if you're looking to connect marketing performance more closely with revenue outcomes.

🔗 Read the full piece on our blog: https://beetroot.co/ai-ml/predictive-analytics-in-marketing-why-data-driven-strategies-win-on-roi/

16/04/2026

🔎 Data management and master data management (MDM) have changed significantly by 2026. With data spread across cloud platforms, SaaS tools, legacy systems, and real-time pipelines, coordination and consistency have become harder to maintain through older centralized models.

🔗 In this article, we break down how MDM has evolved in 2026 and where it fits within broader data architecture: https://beetroot.co/data/best-data-management-solutions-mdm-tools/

A practical read if you’re reviewing your data foundations or planning the next stage of growth.