Weekly AI Essential Reads From AiThority: Top Trends in AI (May 12 – May 16)

Welcome to this week’s AiThority’s AI roundup! We’re excited to share the latest AI and technology breakthroughs. This week, we explore everything from the deployment of AI infrastructure to exciting advancements in purpose-built  Artificial Intelligence. Additionally, read more about the integration of AI and cloud computing, as well as how Large Language Models  are shaping product development.

Explore the frontiers of AI technology, one headline at a time.

TensorStax Raises $5Million to Build Deterministic AI Agents for Data Engineers

TensorStax, an AI platform for data engineering, raised $5M in seed funding led by Glasswing Ventures. The funding will boost product development and expansion. As the $66.7B agentic AI market grows, TensorStax tackles the rigid nature of data engineering with AI agents that reduce complexity and support existing workflows. Its tools integrate with platforms like Airflow, dbt, and Snowflake. TensorStax’s LLM Compiler ensures reliable, production-grade AI by validating syntax and dependencies, boosting success rates to 85–90%. Early adopters use it for building pipelines, modeling data lakes, and monitoring systems with less manual effort and greater precision.

QIAGEN Enhances Leading Clinical Genomics Portfolio With Acquisition of Genoox AI-powered Software

QIAGEN has acquired Genoox for $70 million to enhance its clinical genomics capabilities. The deal adds Franklin, an AI-powered cloud platform used in over 50 countries, to QIAGEN’s Digital Insights portfolio. Franklin enables fast, scalable interpretation of complex genetic tests and supports clinical decision-making across various applications, including rare disease diagnosis and cancer treatment. This move complements QIAGEN’s tools like QCI Interpret and COSMIC. The integration aims to improve diagnostic accuracy, speed, and scalability for small and mid-sized labs. The acquisition is expected to generate $5 million in 2025 revenue with no immediate impact on adjusted EPS.

Applause Survey Highlights Gaps in Digital Accessibility Expertise and QA Processes

Applause, the fifth annual Accessibility Survey shows rising awareness and adoption of inclusive design as the European Accessibility Act deadline nears. Of 1,500+ professionals surveyed, 84% said accessibility is a top or important priority, and 80% have dedicated teams. However, 68% lack the expertise and resources for continuous testing, and few involve people with disabilities. While AI and automation are gaining traction in accessibility efforts, gaps in QA processes and inclusive input remain. Most organizations are preparing for EAA compliance, with many aligning to WCAG 2.2 standards. The focus is shifting from compliance to delivering inclusive, high-quality digital experiences.

Intel and Softtek strengthen tech alliance with focus on AI

Intel and Softtek have deepened their AI-focused partnership to accelerate digital transformation across Latin America. Built on co-creation, tech integration, and mutual feedback, the alliance combines Intel’s processors with Softtek’s platforms like FRIDA to boost productivity and reduce testing time. Their AI initiatives have delivered real results, including faster medical diagnoses in rural areas. Softtek’s agile approach enables rapid solution development, while both companies emphasize responsible, scalable, and secure AI. Despite widespread AI interest, few firms see clear returns—so the partnership aims to deliver practical, high-impact outcomes. Intel predicts 80% of PCs will be AI-enabled by 2028.

KUDO Launches Groundbreaking AI Assist for Interpreters, Setting a New Standard for Real-Time Support in Multilingual Meetings

KUDO has launched AI Assist, a real-time speech transcription tool for interpreters. Integrated into the KUDO console, it delivers live captions to boost accuracy, confidence, and reduce mental strain during complex meetings. Unlike third-party tools, AI Assist is secure, seamless, and built specifically for interpreters. It helps confirm details like numbers and acronyms, recover missed words, and maintain workflow efficiency. With ultra-low latency and high accuracy, it’s designed to support—not replace—the interpreter’s process. Backed by research, AI Assist is available now at no extra cost, reinforcing KUDO’s mission to enhance multilingual communication with interpreter-focused AI tools.

Informatica Unveils Agentic AI Offerings on Its AI-Powered Cloud Data Management Platform

Informatica has unveiled its Agentic AI strategy, introducing AI Agent Engineering and CLAIRE Agents to help enterprises build, manage, and connect intelligent AI agent workflows at scale—without coding. AI Agent Engineering offers a no-code environment to orchestrate multi-agent systems using trusted data across cloud ecosystems. CLAIRE Agents are autonomous assistants that automate data tasks like ingestion, lineage, quality, and exploration. Together, these tools boost data accuracy, operational efficiency, and AI readiness. Also announced: CLAIRE Copilot is now generally available to streamline integration tasks using GenAI, and major partnerships with AWS, Microsoft, Databricks, NVIDIA, and more are expanding AI capabilities.

Weekly Roundup: Expert Views on AI Trends

AiThority Interview with GT Volpe, Senior Director of Product Management at Alation

AIThority’s Weekly Voice: From the Expert

GT Volpe from Alation highlights that many organizations rush cloud migrations without preparing data for AI or business use, simply moving old issues to the cloud. Instead, they should build governed, reusable data products designed for modern needs. Alation uses metadata to drive better decisions and governance by identifying key data assets and highlighting quality issues. AI will play a key role by automating metadata creation, improving governance, and enabling trustworthy data products. A major overlooked trend is the need for truly governed data products to support scalable AI. CIOs and CDOs must build data for both current use and future AI readiness.

Don’t Miss These Must-Read Articles of the Week

Why Open Source is Critical in the AI Era

Developers are losing control over their tools as AI-driven software increasingly relies on opaque, proprietary systems controlled by a few vendors. These closed tools raise risks in security, compliance, and innovation because users can’t see how data and code are handled. Open source AI tools offer a better alternative by running locally or in trusted environments, letting developers retain control, customize workflows, and avoid vendor lock-in. Open platforms enable faster innovation through community collaboration, transparency, and flexibility. To secure long-term independence and innovation, organizations should invest in open AI tools that prioritize adaptability, transparency, and developer empowerment over short-term convenience.

Why Agentic AI Is the Next Big Shift in Workflow Orchestration

Agentic AI is transforming go-to-market teams by replacing fragmented automation with intelligent agents that work autonomously and coordinate tasks across sales, marketing, and customer success. These agents plan, reason, and act with purpose, enabling faster, scalable execution. For example, a bank uses specialized agents for risk analysis, credit scoring, loan approval, and customer communication, each focused on specific tasks but working together seamlessly. Agentic workflows break down complex problems into manageable steps, improving accuracy, transparency, and compliance. This approach drives efficient knowledge work and real-time decision-making. Businesses should prioritize practical impact over hype to build resilient, value-driven AI solutions.

AI Quote Of The Week by AiThority

“We use an “AI patch”—a software layer that codifies the agency’s AI policy and applies it directly to the endpoint. That means city leadership can define how AI should be used—and have confidence it’s being enforced consistently across the organization. Whether it’s by department, role, or individual user, the policy adapts while remaining centrally managed. This gives agencies control without needing to micromanage every use case. It’s scalable, customizable, and designed to evolve with both the technology and the agency’s needs.”- Noam Maital, Co-founder and CEO of Darwin