By Marian Petruk, Milosz Dudek, Alesandro SlepcevicOct 02, 2026
Financial Services•
Generative AI•
Healthcare•
NVIDIA

Build Fast, Reliable Agentic AI From Edge To Cloud

SoftServe and Akamai benchmarked governed AI agents at 22ms and $0.0047 per 1,000 images. See what we found.

By Ben Bach, Franziska FreidelOct 02, 2026
Data & Analytics•
IoT, XR, Robotics, AI & ML•
Retail

Retail has decided agentic commerce is coming. It hasn't decided who's responsible.

Agentic commerce in retail: 72.4% of retailers have no owner for it. See what the EHI study found.

By Piotr UzarSep 11, 2026
Data & Analytics•
Retail

Turn the Local Forecast Into Your Retail Edge

How SoftServe's analytics team built hyper-local weather intelligence for smarter retail demand planning.

By Georgi BilyukovAug 27, 2026
DXP•
Manufacturing

How AI engines decide who gets named, and who doesn't

94% of B2B buyers now use AI to research vendors, and Google click-through rates drop nearly 60% when an AI Overview appears. Here's what's changed about how buyers find vendors.

By Serge HaziyevAug 14, 2026
Generative AI•
IoT, XR, Robotics, AI & ML•
Software Development

The 10x Advantage: Why Agentic AI Requires a New Software Delivery Model

Agentic AI shifts the delivery bottleneck from implementation to specification. See how a Dual-Loop model turns that shift into a 10x advantage.

By Dev WorahAug 10, 2026
Data & Analytics•
Financial Services•
Google Cloud

Scaling AI in Financial Services: Why the hardest part of scaling AI isn't the technology

Read why governance, method, and cost are how BFSI firms scale AI in financial services.

By Robert Senktas Jul 30, 2026
Digital Products and Services•
DXP•
Generative AI•
Operational Efficiency

AI Reopens Who Gets to Operate Your Platform

How conversational AI helps marketers manage customer data structures without developer bottlenecks.

By The SoftServe NVIDIA Practice TeamJul 21, 2026
IoT, XR, Robotics, AI & ML•
NVIDIA

Bringing AI to Life: Inside SoftServe's Expanding NVIDIA Practice

Inside SoftServe's expanding NVIDIA practice: scaling the people and solutions that move physical AI into production.

By Ioanna Pona, Igor RekhmanJul 21, 2026
Business Analysis•
IoT, XR, Robotics, AI & ML•
Operational Efficiency

From AI Pilot to Autonomous Enterprise

78% of enterprises use AI. Only 7% have scaled it. Here’s how the Catalyst–Amplifier–Hub path closes that distance.

By Mariia Hryntus, Olha M. Melnychuk, Vasyl KhytrovskyiJul 16, 2026
Data & Analytics•
IoT, XR, Robotics, AI & ML•
Manufacturing

Why Manufacturing AI Fails Without Human Context

Industrial data rarely fits neatly into automated systems. See why manufacturing AI still depends on human judgment.