CG Hour
Energy companies are running into a hard truth: the old “buy vs. build” debate no longer fits today’s reality—especially as AI moves from experiment to expectation. A modern software strategy must now account for cloud-native, modular ecosystems, where open APIs, integrations, and AI-ready interfaces determine how quickly teams can launch, adapt, and scale. Early…
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May the Agentforce Be With You: AI in Energy Services
Generative AI has moved past being a shiny demo and into the messy reality of enterprise operations—where data lives in different systems, customers expect instant answers, and security teams (rightfully) say “prove it.” In energy services specifically, even small efficiency gains matter: many retail energy providers operate on thin margins, and operational blind spots—billing…
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Nightmare on Revenue Street: Energy Billing Edition
Energy billing is one of those things most people only think about when something goes wrong—an unusually high charge, a missing bill, a surprise shutoff notice, or a rate plan that suddenly doesn’t make sense. With smart meters, more complex pricing options, and different rules in regulated vs. deregulated markets, even a small breakdown…
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Corporate Heartbeat: The Win-Win of Giving Back
Corporate giving is increasingly viewed as part of local economic infrastructure—not discretionary generosity. In the U.S., 13.7% of households experienced food insecurity in 2024, impacting millions of working families and signaling stress within regional labor markets. As cost-of-living pressures persist and metro regions like North Texas continue to grow rapidly, business leaders are reassessing…
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Small Margins, Big Risks: How Fraud Hurts Texas Energy Retailers
Fraud has quietly become one of the most existential threats in Texas’s deregulated retail electricity market—because the business runs on razor-thin margins and delayed payment. Under the non-POR system overseen by the Electric Reliability Council of Texas (ERCOT), retail energy providers assume the full risk of nonpayment. With profit margins often measured in just a…
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Hiring Rewired: Human Intelligence in the AI-Driven Job Market
As artificial intelligence continues to reshape recruiting—from resume screening and job descriptions to candidate sourcing and interview workflows—the hiring process has become faster, more automated, and increasingly complex. According to the World Economic Forum, approximately 88% of companies now use some form of AI to filter or rank job applications, signaling how deeply embedded automation…
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Amberd Delivers Real-Time Business Insights, Cutting Executive Reporting From Weeks to Minutes With ADA
Many organizations struggle to deliver real-time business insights to executives. Traditional workflows require analysts and database teams to extract, prepare, and validate data before it reaches decision makers. That process can stretch across departments and delay critical answers.. Mazda Marvasti, CEO of Amberd, says the cycle to answer a single business question can take…
No Idle GPUs, No Data Leakage: Qumulus Maximizes GPU Utilization for Multiple Customers on Shared Infrastructure
Multi-tenant GPU infrastructure is becoming essential as AI deployments scale across customers. Organizations must maximize GPU utilization while maintaining strict data isolation. Idle compute reduces efficiency, yet shared environments can introduce security risks if not designed properly. Mazda Marvasti, CEO of Amberd, says optimizing GPU cycles across multiple customers is essential to maintaining performance…
QumulusAI Brings Fixed Monthly Pricing to Unpredictable AI Costs in Private LLM Deployment
Unpredictable AI costs have become a growing concern for organizations running private LLM platforms. Usage-based pricing models can drive significant swings in monthly expenses as adoption increases. Budgeting becomes difficult when infrastructure spending rises with every new user interaction. Mazda Marvasti, CEO of Amberd, says pricing volatility created challenges as his team expanded its…
Amberd Moves to the Front of the Line With QumulusAI’s GPU Infrastructure
Reliable GPU infrastructure determines how quickly AI companies can execute. Teams developing private LLM platforms depend on consistent high-performance compute. Shared cloud environments often create delays when demand exceeds available capacity Mazda Marvasti, CEO of Amberd, says waiting for GPU capacity did not align with his company’s pace. Amberd required guaranteed availability to support…
