For many engineering teams, AI adoption means individual engineers write code faster while overall team velocity remains stagnant. Individual speed and team speed are produced by different things, and AI has mostly accelerated the first but not the second. The step from individual AI adoption to team advantage is one many organizations haven’t taken yet,…
DetailsAt Cisco, VP of engineering Jason Andrews deals with all the same technical issues as every other company deploying AI, including ensuring it’s governed, secure, and integrating multiple data sources, legacy systems, and AI models. But these issues are relatively straightforward compared to the bigger challenges relating to the fast pace of change, specifically how…
DetailsYour CFO has a simple question. “We’re spending more on AI. What are we getting for it?” Most CIOs cannot answer it — not because AI isn’t creating value, but because the accounting systems we inherited were built before AI existed as a category of labor. This June, the conversation shifted from token maxing to…
DetailsIn the client-server era, the penalty for inefficient programming, such as unoptimized database calls, was largely confined to application responsiveness. Today, in the AI era, code, architectural, and platform inefficiencies are no longer just a performance issue, they’re a financial and environmental liability. Left unchecked, poor code cascades into soaring token costs and spikes data…
DetailsOutsourcing worked – until it didn’t. After Akirolabs achieved early market validation and onboarded its first enterprise customers, outsourcing began to create strategic limitations around scalability, intellectual property (IP) ownership, security and delivery execution. The challenges started after the first enterprise customers confirmed product-market fit. At that point, delivery speed became directly tied to business…
DetailsMicrosoft and Mistral are betting that the future of enterprise AI is in sovereign infrastructure and model choice, rather than with one locked-in system. The companies have announced a “significant expansion” of their strategic partnership, which includes a multibillion dollar commitment from Microsoft. Mistral will add to its GPU infrastructure in Europe and extend access…
DetailsEver since Chinese AI startup DeepSeek launched three years ago, enterprise executives have been nervous about relying on Chinese AI models. But now that the latest Chinese AI offerings, Alibaba’s 2.4-trillion-parameter model Qwen3.8 Max and Moonshot’s 2.8-trillion-parameter model Kimi K3, are promising even more powerful performance, those IT executives are being forced to again ask…
DetailsHireQuotient, 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…
DetailsMany 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…
DetailsAI-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,…
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