Weekly AI Insights: AiThority’s Top Trends and Essential Reads for March (24- 28)
Welcome to this week’s AiThority’s 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.
Vocodia to Launch Groundbreaking AI Platform for Developers, Enabling Voice, Chat, and Phone Support in Under 15 Minutes
Vocodia Holdings Corp. is launching a new AI platform for developers in 30 to 45 days. It lets businesses quickly integrate AI chat, voice, and inbound call features into websites. With setup in under 15 minutes, users can create 24/7 customer service or sales solutions without coding or large teams. CEO Brian Podolak says the platform makes AI practical and scalable, turning websites into full-service engagement hubs. Vocodia focuses on affordable, human-like AI for customer interactions, reducing costs while improving automation. More updates and product announcements will follow as the company expands its AI solutions for businesses.
7T.ai Introduces AI-Powered Genie That Uncovers the Best AI Opportunities for Your Business in Minutes
7T.ai launched AI Genie, a platform that helps businesses quickly identify where AI can drive the highest ROI. Instead of lengthy assessments, AI Genie analyzes business processes, detects inefficiencies, and delivers a prioritized AI adoption roadmap in minutes. Users upload documents, and the system provides data-driven insights on automation and efficiency gains. CEO Kishore Khandavalli calls it a game-changer, bringing AI innovation to every business. With AI Genie, companies can maximize ROI, boost efficiency, and accelerate growth without guesswork. The platform simplifies AI adoption, ensuring businesses know exactly where to apply AI for the best impact.
Nexthop AI Launches with $110M in Funding to Build More Efficient Al Infrastructure for Hyperscalers
Nexthop AI, emerged from stealth with $110M in funding to build next-gen AI networking solutions for cloud giants. As AI workloads grow, hyperscalers need advanced infrastructure to scale efficiently. Nexthop AI delivers custom networking hardware, optimized software, and seamless integration, helping cloud providers enhance performance and reduce costs. CEO Anshul Sadana calls the company a “force-multiplier,” partnering closely with engineering teams to accelerate AI infrastructure deployment. Backed by top investors, Nexthop AI is set to transform AI networking, providing tailored, power-efficient solutions for hyperscale AI clusters in a rapidly evolving $35B market.
Tetrate Launches Tech Preview of ‘Agent Operations Director’ for GenAI ROI Assessment and Risk Governance
Tetrate,launched a technical preview of its Agent Operations Director, helping enterprises optimize GenAI ROI and manage AI infrastructure costs. Built on Envoy AI Gateway, it provides real-time insights, controls LLM traffic, and prevents unauthorized AI usage. The tool enables teams to track spending, optimize resource allocation, and switch to cost-effective models without disruption. With AI investments soaring, businesses need better governance to stay competitive. Tetrate’s solution ensures scalable, high-performance AI operations, particularly in regulated industries like finance and healthcare, making AI adoption more efficient, secure, and cost-effective.
Aras Introduces InnovatorEdge: A Low-Code API Management Framework for Extending Product Digital Thread Ecosystems
Aras, launched InnovatorEdge, a low-code API management framework within its Aras Innovator platform, simplifying secure data connectivity. It streamlines PLM integration with enterprise systems, enables mobile-friendly apps, enhances collaboration, and ensures secure data management. Partnering with Microsoft, it integrates with Microsoft Fabric and AI tools for advanced analytics. CEO Roque Martin highlights its scalable, real-time access to PLM data, accelerating digital transformation and decision-making. This solution helps enterprises optimize processes, unlock AI-driven insights, and improve efficiency across the product lifecycle and digital engineering ecosystem.
SplxAI Closes $7M Seed Funding Round to Help Organizations Secure Agentic AI Systems
SplxAI raised $7M in seed funding, led by LAUNCHub Ventures, to enhance AI security. The funding will accelerate the development of SplxAI’s platform, which automates AI security testing, detects threats, and ensures safe AI deployment. LAUNCHub’s Stan Sirakov joins its board, while Sandy Dunn becomes CISO. With AI adoption growing, SplxAI addresses security risks with automated, real-time protection. Unlike costly manual testing, its platform continuously monitors threats and mitigates vulnerabilities. SplxAI’s expertise in AI security and red teaming makes it a key player in securing agentic AI. Customers include KPMG, Infobip, and Glean.
Upwind Announces First-of-Its-Kind Solution To Mitigate AI-Specific Risks
AiThority Interview with Dr. William Bain, CEO and Founder of ScaleOut Software
Dr. William Bain, CEO and Founder of ScaleOut Software, shares insights on their latest advancements, including integrating generative AI with digital twins for real-time monitoring. The new ScaleOut Digital Twins platform allows continuous machine learning (ML) retraining to prevent model drift and enhances operational intelligence. Digital twins track vast data sources in real time, enabling better monitoring of complex systems like smart cities and transportation networks. AI, particularly ML and generative AI, is transforming real-time monitoring by detecting anomalies and assisting managers in decision-making. Dr. Bain emphasizes the importance of careful testing to ensure AI delivers accurate, actionable insights.
Should businesses fear the impact of the fake AI ID?
AI is both an adversary and ally in the fight against identity fraud. Fraudsters are using AI to generate fake IDs, making it harder for traditional verification methods to detect them. However, businesses are staying ahead by adopting advanced identity verification systems that can catch AI-generated fake IDs. Current systems can successfully identify discrepancies in details like data syntax and document tampering, but AI IDs will evolve, requiring continuous improvement of fraud detection solutions. Businesses must adapt and invest in AI-ready identity verification methods to protect against increasingly sophisticated fake IDs in the future.
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