A customer support team needs to summarize conversations. The product team wants an AI model that can reason through complex requirements. Finance needs reliable extraction from documents. Leadership, however, asks a simple question: Which AI model should the business use? There is rarely one right answer. For business leaders, the better question is “Which model is best for…
Aitech is upgrading its rugged computing portfolio for defense platforms that increasingly need to process AI workloads at the tactical edge. The company has introduced the C530 and SOSA-aligned U-C5300, two 3U VPX GPGPU boards built around NVIDIA RTX Ada architecture. The accelerators target real-time AI inference, video analytics, image processing and sensor fusion while…
DFI is targeting the growing demand for on-device intelligence in industrial robots and automated logistics with a new Mini-ITX platform designed to combine AI acceleration, compact hardware and long-term deployment flexibility. The ARH171/ARH173 supports 16 Intel Core Ultra processor configurations across Meteor Lake and Arrow Lake generations, giving system integrators a common hardware platform for…
Qualcomm and Amazon are expanding their semiconductor partnership into large-scale AI data centers, with a multi-generation collaboration focused on custom silicon for AI inference and optical connectivity reaching speeds of up to 1.6 terabits per second. The agreement gives Qualcomm a larger role in the rapidly expanding AI infrastructure market while strengthening Amazon Web Services’…
Triple Whale is repositioning itself from an ecommerce analytics platform into what it describes as an AI operating system for commerce, unveiling a new brand identity alongside a broader push into agentic automation. The company says its Moby AI operator can move beyond analyzing business performance to recommending and executing actions across advertising, creative, websites…
Alif Semiconductor is targeting one of the biggest barriers to embedded AI adoption: the cost and complexity of getting started. The semiconductor company has introduced two low-cost evaluation boards, the SK-B1 and SK-E1C StartKits, designed to help developers test on-device AI and machine learning workloads on its Balletto and Ensemble microcontrollers. The boards bring dedicated…
Function Health is expanding its network of AI integrations by allowing members to connect their health data with Muse, Meta’s new personal AI agent. The integration gives Muse access to Function’s lab results and clinician-reviewed health summaries, allowing users to bring personal health context into AI-assisted planning and tracking while retaining control over the connection….
Enterprise AI has a deployment problem that increasingly sits beyond model performance. A widely cited industry estimate suggests that about 95% of enterprise AI pilots fail to reach production, highlighting the difficult transition from a successful demonstration to a system that can operate inside legacy infrastructure, security controls and complex business processes. Think41 is betting…
Singaporean enterprises are moving into a more demanding phase of AI adoption: proving that deployments can deliver measurable returns while meeting security, compliance and infrastructure requirements. A new Dell Technologies study suggests the biggest obstacles are no longer enthusiasm for artificial intelligence, but data access, legacy systems, energy constraints and the lack of coordinated AI,…
