VoiceBrain, a leader in AI-driven voice analytics, and Diga-Talk Solutions, a top provider of Push-to-Talk over Cellular technology, have announced a strategic partnership at IWCE 2025. This collaboration merges AI-powered voice analytics with reliable PoC communication, enhancing safety, efficiency, and operational intelligence for industries nationwide.
With the rapid adoption of generative AI services, organizations face growing security and compliance challenges. Acuvity, a leader in runtime generative AI security, addresses these concerns with its GenAI Service Risk Evaluation Report. This tool enables businesses to assess risks instantly, ensuring compliance and security without operational disruptions.
1. What factors should businesses consider when transitioning from battery-powered to wirelessly powered IoT networks? There are 3 important factors to consider when looking at wireless power – Location, Coverage, and Data. Maintenance and waste concerns typically limit the number of battery-powered sensors that can reasonably be used for any given application. For example, retailers…
Crescendo, a leader in Augmented AI, has expanded its platform with new agentic AI capabilities and a CX Data Assistant to enhance automation and strategic insights. These innovations allow businesses to achieve 99.8% accuracy in customer service, setting a new industry standard.
The rise of AI-driven automation is reshaping enterprise intelligence, and ServiceNow is at the forefront of this transformation. In a strategic expansion of its partnership with NVIDIA, ServiceNow is introducing new AI agent evaluation tools and integrating NVIDIA Llama Nemotron reasoning models into the ServiceNow Platform. These advancements will enhance AI agent intelligence, adaptability, and business impact across industries. Building on its AI Agent Orchestrator, ServiceNow is equipping enterprises with AI agents that are not only automated but also intelligent, measurable, and optimized. With these latest innovations, businesses can deploy AI agents confidently, ensuring greater accuracy, efficiency, and decision-making capabilities.
As AI adoption accelerates, enterprises seek solutions that integrate AI-driven automation into their business processes. Oracle introduces AI Agent Studio for Fusion Applications, a comprehensive platform that allows businesses to create, deploy, and manage AI agents with ease. This advancement enables organizations to streamline workflows, enhance productivity, and leverage AI for enterprise-wide automation. At Oracle CloudWorld, Oracle unveiled its next-generation AI Agent Studio, building on its 50+ pre-built AI agents already embedded in Fusion Applications. This release empowers businesses and partners to design custom AI agents that automate complex tasks, drive decision-making, and improve operational efficiency.
The evolution of wireless networks is entering a transformative phase with AI-native Radio Access Networks (RAN), enabling real-time learning, adaptability, and spectrum optimization. AI-powered RAN replaces rigid, hardware-defined systems with adaptive, software-driven architectures, laying the foundation for 6G networks. DeepSig, a pioneer in AI-native wireless communications, is at the forefront of this shift, advancing AI-powered air interfaces and intelligent spectrum management. At NVIDIA GTC 2025, DeepSig CEO and Co-Founder Jim Shea will join industry and academic leaders to explore AI-native RAN’s role in shaping 6G, highlighting key breakthroughs in network efficiency, adaptability, and performance.
As Web3 adoption accelerates, the limitations of traditional smart contracts are becoming increasingly apparent. While smart contracts have revolutionized blockchain transactions by ensuring automated execution, their predefined conditions limit adaptability in dynamic environments. AGII, a leader in AI-powered Web3 solutions, is pushing the boundaries by introducing AI-driven smart contracts. These contracts bring real-time learning and automation to blockchain networks, enabling them to self-optimize, predict potential failures, and adapt to evolving demands.
The exponential growth of LLM-based AI services has intensified the need for real-time data retrieval and efficient AI inference. Current systems struggle with high latency and power consumption due to the separation of retrieval and inference processes. Addressing these inefficiencies, Dnotitia, Inc., an AI and semiconductor solutions startup, has partnered with HyperAccel, a fabless semiconductor firm specializing in AI acceleration, to develop the world’s first RAG-specialized AI system. This collaboration integrates Dnotitia’s Vector Data Processing Unit (VDPU) chip with HyperAccel’s Large Language Model Processing Unit (LPU) chip, creating a unified system designed to optimize both retrieval and inference simultaneously.
