Imagine a world where cloud security breaches are stopped before they even begin, where the relentless tide of cyber threats in multi-cloud environments is met with a barrier that anticipates and neutralizes risks at their inception. This isn’t a distant dream but a tangible reality brought to life by Blast Security, a Tel Aviv-based cybersecurity innovator. In an era where
In a year when liquidity windows opened and closed in weeks, CFOs discovered that brittle spreadsheets and delayed consolidations turned routine variances into existential risks, pushing finance teams to search for platforms that translate raw volatility into readable signals before shock becomes damage. That search increasingly centered on live, unified finance data—cash positions, margins, budget adherence, and entity-level variances in
Imagine a world where developers can fine-tune AI models to think deeper for complex business strategies or dial back for lightning-fast responses in real-time apps—all with a few simple parameter tweaks. This is the promise of Google’s latest updates to the Gemini API, tailored for the powerful Gemini 3 AI model. Unveiled recently, these enhancements aren’t just incremental upgrades; they
Picture a scenario where a security team scrambles to compile mountains of evidence for a looming audit, burning through countless hours on manual data collection, only to face gaps in compliance readiness. This high-stakes challenge plagues countless organizations navigating complex standards like SOC 2 or PCI DSS. The pressure to prove continuous monitoring and threat response is real, yet traditional
In a year when cloud ERP release cycles accelerated and AI moved from proof-of-concept to daily workflow, a three-day gathering in Miami set a pragmatic tone for how enterprises would fuse intelligence, governance, and scale without disrupting the business. Convergence AI + ERP ran December 9–11 with an explicit agenddemonstrate how Microsoft Copilot and embedded AI features now permeate Dynamics
Imagine a world where the most trusted employee in an organization isn’t human, but a sophisticated AI system with access to every corner of the corporate network. This isn’t science fiction—it’s the reality many enterprises face today as artificial intelligence reshapes workflows with incredible speed and efficiency. Yet, with this transformative power comes a pressing question: Should AI be treated
Imagine a trusted piece of code, buried deep in a widely used Python package, quietly waiting to betray its users. A single outdated script, tied to a forgotten domain, could open the door to catastrophic cyberattacks, compromising entire systems in an instant. This isn’t a distant fear but a real, lurking danger within the Python Package Index (PyPI), where legacy
From Scripted Bots to Autonomous Coworkers: Why AI Agents Matter Now Everyday workflows are quietly shifting from predictable point-and-click forms into fluid conversations with software that listens, reasons, and takes action across tools without being micromanaged at every step. The momentum behind this change did not arise overnight; organizations spent years automating tasks inside rigid templates only to find that
A Surge Meets Old Lessons Executives promised dazzling efficiency and cost savings by letting AI write most of the code while humans merely supervise, but the past months told a sharper story about speed without discipline turning routine mistakes into outages, leaks, and public postmortems that no board wants to read. Enthusiasm did not vanish; it matured. The technology accelerated
Introduction College diplomas once acted like boarding passes into stable careers, yet the latest data showed a sharp detour: Americans with at least a bachelor’s degree now made up 25.3% of the unemployed—over 1.9 million people aged 25 and older—while the jobless rate for degree holders rose to 2.8% and youth unemployment jumped to 9.2%. That combination signaled a break
In boardrooms, clinics, classrooms, and control rooms, the clock ticks while messy datasets pile up faster than teams can make sense of them and the gap between raw inputs and real decisions quietly erodes speed, quality, and accountability. This guide closes that gap by showing exactly how to convert unruly information into credible evidence that leaders can act on today.
Dominic Jainy has spent years marrying finance operations with intelligent automation, building allocation frameworks in Microsoft Dynamics 365 Business Central that cut close times while strengthening control. In this conversation, he connects the dots between Fixed Allocations, recurring journals, and dimensions—showing how to translate messy realities like headcount shifts and square footage reshuffles into clean, auditable postings. We explore how
