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GenScript’s First‑Half 2026 Revenue Surges 27% as AI‑Powered Drug Discovery Business Doubles
GenScript Biotech’s first‑half 2026 results paint a vivid picture of a company riding the wave of artificial intelligence‑driven drug discovery while simultaneously tightening its operational belt. Revenue climbed to roughly $404 million, a 27.3% increase year‑over‑year, and adjusted net profit exploded to $62.5 million, more than tripling the prior period’s figure. This dual surge underscores
Why Upgrading to Red Hat Ansible Automation Platform 2.7 Is a Strategic Move for Future-Ready Automation
Organizations that have standardized on older releases of Ansible Automation Platform often find themselves constrained by legacy capabilities that hinder rapid innovation. The arrival of version 2.7 introduces a suite of AI‑enhanced features—such as a Model Context Protocol server that contextualizes playbook runs, an intelligent assistant that recommends remediation steps, and a unified dashboard that
Goldman Sachs Highlights CoStar as Leading AI‑Productivity Play in Real Estate
Investors have largely viewed the AI boom through the prism of chipmakers and cloud providers, assuming the biggest rewards would flow to those supplying raw compute power. Goldman Sachs is shifting that lens, arguing that the real value of AI may lie in how companies deploy it to cut labor costs while raising output. To
When Google’s Pet Memory Fails to Distinguish Your Cats: A Real‑World Test of AI Pet Recognition
Smart home enthusiasts have long looked to security cameras as a quiet guardian for their furry family members, hoping that intelligent alerts could cut through the noise of endless motion notifications. The promise of a system that not only detects “an animal” but can label it with a pet’s name feels like a natural evolution—one
Why People, Not Platforms, Determine True AI‑Native Success
The journey toward an AI‑native organization begins with a fundamental rethinking of talent, not technology. Leaders often gravitate toward acquiring the latest generative models or automation platforms, assuming that more sophisticated software automatically translates into competitive advantage. In reality, the true differentiator lies in how well employees are equipped to reinterpret their responsibilities, experiment with
German Engineers Forge High‑Voltage DC Solution to Power the Next Generation of AI Data Centers
The artificial intelligence boom is pushing data centers into uncharted territory, where traditional power architectures struggle to keep pace with the insatiable appetite of modern accelerators. As training models grow larger and inference workloads become more latency‑sensitive, the average power draw per rack is climbing well beyond the historical 10‑15 kW range, prompting operators to rethink
Smart Automation: How Italian SMEs Can Pick the Right Processes to Automate
Many Italian entrepreneurs hear the promise of business process automation and immediately picture a shiny software license that will magically erase repetitive work. In reality, the technology is rarely the bottleneck; the real challenge lies in deciding which workflow deserves automation in the first place. Without a clear, written answer to what the process does,
The Haunting Code: Why AI‑Generated Malware Demands a Zero Trust Approach to Software Execution
The rapid adoption of AI‑powered coding assistants is reshaping how software is created, with models now authoring the majority of production code in many organizations. This shift brings unprecedented productivity gains, but it also opens a new avenue for threat actors who can harness the same generative capabilities to craft malicious payloads at machine speed.
Balancing Predictability and Intelligence: How Deterministic Bots and AI Agents Transform Test Automation
The modern software delivery pipeline faces a growing tension between speed and reliability. As generative AI accelerates code creation, teams are pushing more features into production at unprecedented rates, yet the verification step often lags behind. This mismatch creates what industry observers call a “release gap,” where the ability to ship code outpaces the capacity
Why Agentic Advertising Needs Firm Boundaries for AI
The advertising industry is buzzing with the promise of agentic AI, envisioning systems that can autonomously manage campaigns across platforms like Meta and Google. Executives are drawn to the idea of hooking up a large language model to an advertising API via MCP and letting it run free, hoping to unlock efficiency and performance gains.