DATAFOREST

DATAFOREST DATAFOREST - Data Engineering and Web Product Development company.

08/04/2026

:thinking_face: What if AI is recommending your competitors instead of your products?That’s becoming a real business risk for retailers and CPG brands.

In the latest episode of Empower the Data, our host Yurii Rudakov speaks with Lauren Livak Gilbert, Executive Director of The Digital Shelf Institute and former Digital Shelf leader at Johnson & Johnson, about why trusted product data is becoming the foundation of AI-powered commerce.

Key takeaways:
:white_check_mark: AI doesn’t fix poor data—it amplifies it.
:white_check_mark: Fragmented product data is one of the biggest barriers to AI adoption.
:white_check_mark: Winning with AI is no longer about having the latest tools—it’s about data quality, governance, and ex*****on.

If you’re leading AI, Data, Digital Transformation, Retail, or eCommerce, this conversation offers practical insights into what it takes to prepare your business for the next generation of AI-driven commerce.





07/23/2026

🤔 What does Ericsson’s Strategic Data Authority Director think most companies get wrong about AI?

They’re chasing models instead of building trust.
In our latest Empower the Data episode, Yurii speaks with William McCann Murphy, Strategic Data Authority Director at Ericsson, about what separates AI experiments from AI that delivers business value.

A few highlights:
✔️ Data quality is only the starting point.
✔️ Business context is the real competitive advantage.
✔️ AI governance and data governance can no longer exist separately.
✔️ The future isn’t Human in the Loop—it’s Human in Command.

A practical conversation for CIOs, CTOs and data leaders building enterprise AI.






CTO

Після 150+ розмов ми помітили одну закономірність Ми завершили великий цикл 1:1 у Dataforest.За цей час - понад 150 особ...
07/23/2026

Після 150+ розмов ми помітили одну закономірність

Ми завершили великий цикл 1:1 у Dataforest.
За цей час - понад 150 особистих розмов і 11 тем: навантаження, професійний розвиток, взаємодія в командах, фідбек, робота з лідами.

І от що цікаво. На запитання «Що тобі найбільше подобається в Dataforest?» найчастіше звучала одна відповідь - люди.
Підтримка, довіра, відкритість, готовність ділитися досвідом - це згадувала команда знову і знову.

Але поруч завжди йшло друге: можливості професійного розвитку, AI-трансформація, сучасні технології, складні проєкти, середовище, де реально можна рости.

Для нас це головний висновок циклу: найкраще місце для роботи - там, де поєднуються цікаві задачі, можливості для розвитку та сильна команда.
І схоже, у Dataforest це вдається 💜

If you are dealing with broken pipelines, manual reporting, or 3 versions of the same number — this session is for you. ...
07/22/2026

If you are dealing with broken pipelines, manual reporting, or 3 versions of the same number — this session is for you. Free. 🔗 Link in bio.

Free 30-min Data Strategy Session.
10 spots this month.

✅ Your data sources mapped
✅ Right architecture recommended
✅ Bronze-Silver-Gold roadmap
✅ Timeline and cost estimate
✅ No pitch

8 years | 250+ projects | Unilever, eBay, Apollo Tyres

The data foundation determines the forecast quality. Build it right first. 🔗 Link in bio.88% forecasting accuracy$142M w...
07/21/2026

The data foundation determines the forecast quality. Build it right first. 🔗 Link in bio.

88% forecasting accuracy
$142M warehouse savings
0.9% out-of-stock (was 4%)
8 TB / 24 months processed

Retail chain. Multiple outlets.
Architecture: time series + neural network + holidays + economics + weather.

Clients: Unilever, eBay, Apollo Tyres.

1,200 working days per month of manual work. Eliminated with AI-powered data infrastructure. 🔗 Link in bio.9,600 hours/m...
07/16/2026

1,200 working days per month of manual work. Eliminated with AI-powered data infrastructure. 🔗 Link in bio.

9,600 hours/month
Manual healthcare data collection
200+ data sources
Drug news. Clinical trials. Research papers.

↓ AI pipeline

9,600 hours: eliminated
200+ sources: automated

Cambridge Healthcare Research.

dataforest.ai — Free 30-min session

480 hours. That is 60 working days per month. Gone. 📌This is what data infrastructure actually delivers.Linen retailer. ...
07/10/2026

480 hours. That is 60 working days per month. Gone. 📌

This is what data infrastructure actually delivers.

Linen retailer. Amazon, Walmart, Shopify, Facebook, TikTok, Google Ads.
3 FTEs doing nothing but manual reporting across 15 platforms.

What we built:
→ 15 integrations
→ ETL on Airflow
→ Multilevel auto-checks
→ Notification system

Result: 480 hours/month eliminated.
Those 3 people now work on growth.

Link in bio for the full case → dataforest.ai

07/08/2026

So excited to share a clip from my recent appearance on Facing Disruption!
🚀We dove deep into a topic I’m really passionate about: how burnout in healthcare isn’t just about tired practitioners, but directly reduces positive patient outcomes.

We talked about how manual processes and inefficiencies create a huge cognitive load, essentially burning everyone out. What’s my take? We need to shift our thinking from *just* cost reduction to revenue generation, and broaden «positive outcomes» to truly include healthier, longitudinal patient care.

What do YOU think we need to do to accelerate this holistic journey in healthcare? I’d love to hear your thoughts! 👇

FacingDisruption

07/07/2026

«Run with AI, or get run over by it.»
That’s not clickbait.

It’s the warning from TEDx Speaker David Kilzer, who has spent the last 50 years helping companies transform their operations through automation.

In our latest episode of Empower the Data, Dataforest’s Yurii Rudakov sits down with David—Founder & Principal of Strategic Transformation Advisors Inc. —to discuss what separates successful AI implementations from expensive experiments.

✅️ In this episode, you’ll learn:
→ Why most AI initiatives fail before they even begin
→ Why data—not AI—is the real foundation of successful transformation
→ How companies are achieving productivity gains of up to 60% through AI and automation
→ Where robotics and AI are already creating measurable business value
→ What executives should do today to stay ahead of competitors already putting AI into production

One message stood out throughout the conversation:
✅️ AI isn’t a strategy. Successful implementation is.

If you’re leading digital transformation, evaluating AI initiatives, or looking for practical ways to create business value with AI, this episode is for you.

Save this architecture framework. The order matters: Lake first, Warehouse second, Orchestration third. 🔖1️⃣ DATA LAKEBr...
07/06/2026

Save this architecture framework. The order matters: Lake first, Warehouse second, Orchestration third. 🔖

1️⃣ DATA LAKE
Bronze layer. Any format. CSV, JSON, Parquet, images, logs. Unlimited scale.

2️⃣ DATA WAREHOUSE
One truth. SQL-ready. Schema-enforced. Role-based access. Silver + Gold.

3️⃣ ORCHESTRATION
Airflow + dbt. Auto-scheduling. Monitoring. Retry logic. 99.9% uptime.

Together:
✅ 0 manual triggers
✅ 2-3x faster delivery
✅

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