Tag Archives: art

HireQuotient Extends AI Recruiting Capabilities to Paylocity Customers in Frontline Industries

HireQuotient, an AI-native recruiting platform, today announced its integration with Paylocity (Nasdaq: PCTY), bringing AI-powered candidate sourcing and screening capabilities to Paylocity customers in manufacturing, building services, construction, healthcare and insurance, which are industries where deskless and frontline hiring has historically been underserved by AI recruiting tools. Employers in these sectors who already use HireQuotient…

SAP developers face education debt, user group warns

Many enterprises are investing tens of millions in modernizing their SAP landscapes, but are often underestimating a crucial factor for success, the training of their own developers, according to the German-Speaking SAP User Group, DSAG. The user association urges CIOs to treat the continuing education of SAP developers not as a voluntary training measure but…

Certinia acquires AI services company Moonnox

AI-powered professional services automation provider Certinia has acquired Moonnox, an AI-native automation platform created for the sector. It extends Certinia’s system of action, Veda, offering a new suite of AI agents that automate administration, project management and project deliverables, the company said. The acquisition will add real-time native context capture across applications such as Salesforce,…

AWS standardizes more AI billing data to simplify cost analysis

AWS has updated AWS Data Exports, its service for generating and managing cost and usage Reports (CURs), to include standardized Amazon Bedrock product metadata, making it easier for enterprise engineering teams to analyze AI usage and spending as they scale AI deployments spanning multiple foundation models. The update extends billing exports with normalized fields for…

The AI allocation trap: Record spend, vanishing returns

In a single month, one enterprise reportedly spent half a billion dollars on AI. A consultant told Axios that the client had handed its workforce AI licenses, set no usage limits and let the meter run until finance noticed. The figure is spectacular, and it is the wrong thing to fear. That half-billion-dollar accident is…

The token debate: What CIOs can learn from the laws of thermodynamics

What if the next breakthrough in Enterprise AI doesn’t come from computer science alone? What if it comes from applying principles that physicists have understood for more than a century? According to Gartner, rising token-driven AI spend is straining budgets and challenging cost justification. As organizations race to deploy generative AI and agentic systems, token…

Asymmetric warfare in financial services: AI-powered fraud demands unified command

Military strategists know that asymmetric wars are lost not at the point of attack but at the seams between defensive units, where no single commander owns the territory and information moves slower than the threat. In January 2024, a finance employee at Arup’s Hong Kong office learned this lesson for $25 million, joining a video…

IT leaders confident but cooked when it comes to rogue AI agents

A large majority of IT and security leaders are confident in their teams’ ability to detect when an AI agent has gone rogue, but few are able to take quick action to mitigate the fallout when an agent exceeds its intended scope. Nine in 10 IT and security leaders surveyed by IT observability vendor WanAware…

Small models, sovereign advantage: Why Australia should build its own AI edge

For the past three years, the AI conversation has been dominated by scale. Bigger models, bigger compute clusters, bigger headlines. But the next wave of competitive advantage won’t come from who can rent the biggest model; it will come from who can build the smallest one that knows their business. That model is the small…

The next AI bottleneck is not the model. It’s the infrastructure behind it

Every enterprise AI conversation seems to begin with the same question: Which model should we use? I understand why. Models are visible. They have names, benchmarks, release notes, pricing pages and impressive demos. They are easy to compare in a leadership meeting. One model promises better reasoning. Another offers a larger context window. Another appears…