Here is AITech365’s Weekly Roundup of the top news from global markets. In this fast-paced world, breaking down information helps readers grasp the nuances that follow the news.
In Automation in AI news this week…
Bridging the AI Execution Gap: How Dataiku’s Cobuild Expansion Signals a Shift in Enterprise AI & Data Management
Dataiku announced the expansion of Dataiku Cobuild, a natural-language agentic interface designed to transform plain-language business questions directly into governed, audit-ready AI workflows. Unveiled at the company’s flagship Succeed conference, the enhancement brings natural-language interaction, universal asset discovery, and developer integration under a unified governance layer.
In Martech news this week…
Modulate Raises $25 Millions to Scale Its Lead in Frontier Audio-Native AI
Modulate, the frontier audio AI company, announced $25 million in new funding led by Future Ventures, with participation from Hyperplane and Lakestar, to accelerate growth as demand rapidly increases for AI that can understand the full context of human voice. The new capital will support continued development of Modulate’s pioneering audio-native AI models and the expansion of its developer and partner ecosystems. The investment comes as Modulate advances its technology and market reach, with growing adoption of its audio AI models across fraud prevention, voice AI agent supervision, customer experience, trust and safety, and other emerging voice applications.
In Healthcare news this week…
M42 Launches Beyond Bounds, Bringing Global Voices Together on Healthcare’s Biggest Questions
M42, a global health leader powered by artificial intelligence (AI), technology and genomics, has launched Beyond Bounds, a new global thought leadership platform featuring perspectives from leading scientists, researchers, policymakers, business leaders and innovators on the developments transforming healthcare worldwide. Designed to challenge the status quo, introduce new thinking and encourage cross-border and cross-discipline dialogue, the platform launches at a pivotal moment for healthcare.
In Business Technology news this week…
Thales Enhances CipherTrust Data Security Posture Management to Secure Shadow Data and AI Pipelines
Thales, made the announcement about enhancing its flagship CipherTrust Data Security Platform by adding advanced Data Security Posture Management (DSPM) functionalities to help organizations respond to the new data security risks related to shadow data, cloud sprawl, and enterprise AI implementation. Thales adds advanced DSPM capabilities to the CipherTrust platform allowing for continuous data discovery, classification, and protection in multi-cloud and hybrid environments.
In IT & DevOps news this week…
Kong Unveils Kong Konnect an AI Connectivity Roadmap for Enterprise AI
Kong Inc. has unveiled its roadmap for Kong Konnect, its AI Connectivity Platform, at API + AI Summit, outlining capabilities designed to help enterprises build, connect, govern and manage AI applications, agents and models across complex technology environments. The roadmap addresses the connectivity requirements of AI agents, including access to tools, data, intelligence and credentials, alongside governance, observability and lifecycle management.
In Cybersecurity news this week…
Thales and Google Cloud Expand Strategic Partnership to Secure Next-Generation Agentic AI Workflows
Thales has taken their partnership with Google Cloud to the next level in order to tackle security, governance, and compliance issues associated with the use of agentic AI processes in enterprises. With the shift of companies from AI assistants to autonomous agents which dynamically reason, plan, and execute activities within vital infrastructure, traditional security mechanisms find it difficult to manage the growing attack surface. With the combination of Thales AI Security Fabric with Google Cloud Gemini Enterprise, organizations will be able to protect, enforce policies, and monitor interactions between users, agents, models, and third-party business applications in real-time.
Insight of the Week
Model Quality vs. Cost per Task: How Should Enterprises Benchmark AI?
That matters because enterprises do not buy tokens for the sake of buying tokens. They buy outcomes. A customer service team wants a ticket classified correctly. A legal team wants a contract clause reviewed accurately. A developer wants working code. If the model produces an answer that needs another prompt, another model or a human to fix it, the first API call was never the full cost.
Inside the AI Inference Stack: Where Enterprise AI Costs Actually Accumulate
Transformers rely heavily on attention mechanisms, and the computational burden of full attention grows rapidly as the sequence becomes longer. During generation, the system also maintains a KV cache so it does not have to recompute everything from scratch. That cache consumes memory, which means a longer context can affect both token economics and the infrastructure needed to serve the request.
