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DATAFOREST

Name: DATAFOREST
Address: New York, NY, US
Telephone: +16469050356

DATAFOREST - Data Engineering and Web Product Development company.

10/14/2026

We just made the Top 10. 🎉 50Pros has named DATAFOREST one of the Top 10 Data Science & Analytics Companies for Q3 2026.

We’re proud of this one. And we have people to thank.

To our clients: thank you for bringing us the difficult questions, being direct with your feedback, and trusting us with the next project. Our 92% customer retention rate is something we’re especially proud of.

To our team: thank you for figuring out why a pipeline failed, challenging an assumption, and getting the details right before a release. This recognition reflects your work.

Across 250+ projects, we’ve learned how much the right questions matter before development starts.

If you’re considering a data partner, here are three we’d encourage you to ask, including us:

- “What would you advise us not to build?”
A good partner should be comfortable recommending a smaller project when it solves the problem.

- “How will we know it works?”
Agree on the metric, the baseline, and who signs off before the first sprint.

- “What happens when the source data is wrong?”
Missing fields, duplicate records, conflicting numbers: ask how the solution handles them.

For today, a big thank-you to our clients and team. 💙

08/25/2026

We’re excited to highlight our partnership with Perform by AI and grateful to Mo Smadi and the team for featuring DATAFOREST within their global partner network.

At the core of this partnership is a shared belief: the strongest technology initiatives are built on proven expertise, practical experience, and trusted collaboration.

Together, we exchange real-world insights, technology expertise, and relevant use cases — connecting DATAFOREST’s capabilities in data engineering, AI, and custom software development with Perform by AI’s expertise in strategy ex*****on, AI transformation, and market intelligence across the Middle East.

It’s great to see our experience reaching new audiences through a partner that shares our focus on turning technology into measurable business value.

Thank you to Perform by AI for this collaboration. Together, we look forward to helping organizations close the gap between AI strategy and ex*****on, turning ambitious initiatives into measurable business outcomes!

Looking to accelerate AI adoption, execute strategy, or unlock new growth opportunities? Connect with DATAFOREST or Perform by AI to explore how our combined expertise can support your next initiative.

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

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 💜

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

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.

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

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

Address

New York, NY

Opening Hours

Monday	9am - 9pm
Tuesday	9am - 9pm
Wednesday	9am - 9pm
Thursday	9am - 9pm
Friday	9am - 9pm

Telephone

+16469050356

Website

http://dataforest.ai/

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