AiThority’s Weekly AI Roundup for 13th -17th January 2025: Top AI Trends and Stories

Discover all about AI, technology, and innovation with our coverage of the latest and most viral stories making waves in the technology and AI industries, along with top insights from known leaders.

From AI and Machine learning updates to cutting-edge developments in the tech world, our curated content helps you stay informed. Whether it’s a look into the future of AI or a focus on groundbreaking research, these highlights provide a comprehensive overview of the AI industry.

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

DeGirum Delivers AI Hub to Accelerate Edge AI Development

DeGirum launched its AI Hub, a platform that simplifies AI prototyping for edge devices. It supports leading AI accelerators like Hailo, Intel, and Google, offering flexibility without vendor lock-in. Developers can access over 1,000 pre-built models for vision, security, and robotics applications. The platform features tools to convert training checkpoints into deployable models optimized for supported hardware. It also includes a model zoo for easy updates and transitions from prototyping to deployment. Founded in 2017, DeGirum provides flexible, efficient tools to accelerate edge AI development, empowering developers to solve complex challenges quickly.

IQVIA and NVIDIA Collaborate to Transform Healthcare and Life Sciences Through Advanced Agentic AI Solutions

IQVIA, has partnered with NVIDIA to advance AI in healthcare and life sciences. This collaboration combines IQVIA’s expertise and data with NVIDIA’s AI technologies to create smarter, faster, and more reliable solutions. Together, they aim to streamline complex workflows, improve patient outcomes, and accelerate innovation in drug development and commercialization. IQVIA’s Healthcare-grade AI ensures privacy, compliance, and safety, while NVIDIA’s AI Foundry platform will help build custom AI models and agents for healthcare tasks. Initial solutions, including advanced AI agents, are expected this year, leveraging NVIDIA’s cutting-edge tools like NeMo, DGX Cloud, and AI Blueprint for better data access.

Red Hat Completes Acquisition of Neural Magic to Fuel Optimized Generative AI Innovation Across the Hybrid Cloud

Red Hat, has acquired Neural Magic to enhance its AI capabilities and make generative AI more efficient and accessible. Neural Magic’s expertise in model optimization and inference performance will strengthen Red Hat AI, enabling smaller, open-source AI models that are cost-effective and scalable across hybrid cloud environments. This includes tools for fine-tuning large language models (LLMs), improving operational efficiency, and supporting customer-specific use cases. The acquisition also integrates Neural Magic’s contributions, like vLLM and LLM Compressor, into Red Hat AI platforms, such as RHEL AI and OpenShift AI, reinforcing Red Hat’s commitment to open-source innovation and customer choice.

Vectra AI Launches Scholarship Program to Foster the Next Generation of Talent in AI and Cybersecurity

Vectra AI, has launched the Vectra AI Scholars Program to inspire students to develop innovative AI-based solutions for cybersecurity. Open to high school, undergraduate, and graduate students from eligible countries, the program encourages participants to explore how AI can detect attacker behavior across hybrid attack surfaces. Applicants must submit essays or proposals showcasing AI’s role in cybersecurity, judged on impact, originality, and real-world feasibility.

Cisco Unveils AI Defense to Secure the AI Transformation of Enterprises

Cisco, AI Defense is an advanced solution to secure enterprise AI applications, addressing threats like data leaks and model vulnerabilities. It provides discovery of AI apps, automated model validation, runtime security, and access controls to safeguard proprietary data. Built into Cisco’s Security Cloud, it ensures visibility and protection across hybrid and multi-cloud environments. Leveraging Cisco’s machine learning and threat intelligence, AI Defense empowers enterprises to innovate confidently and securely. It launches in March for enterprise AI transformations.

CoreWeave Partners with IBM to Deliver New AI Supercomputer for IBM Granite Models

CoreWeave, the AI hyperscaler, will deliver one of the first NVIDIA GB200 Grace Blackwell Superchip-enabled AI supercomputers to IBM. Using CoreWeave’s reliable cloud platform, IBM will train its Granite models, enterprise-ready AI solutions prioritizing safety, speed, and cost-efficiency. The collaboration combines CoreWeave’s advanced AI infrastructure with IBM’s storage solutions and open technologies like Kubernetes to power hybrid cloud AI. This partnership aims to push AI innovation, enabling scalable, performant, and cost-effective enterprise applications for the future.

Weekly Roundup: Expert Views on AI Trends

AiThority Interview with Jeff Geiser, VP of Customer Experience at Zenlayer

Dive -in

Jeff Geiser, VP of Customer Experience at Zenlayer, highlights how AI and ML are driving advancements in edge cloud services. Zenlayer’s #1 Asia Fabric addresses challenges like high latency and limited infrastructure in emerging markets by deploying edge nodes closer to users and offering a flexible, pay-as-you-go model. AI’s convergence with edge computing is revolutionizing gaming, fintech, and healthcare, enabling low-latency interactions, real-time fraud detection, and enhanced telemedicine. Geiser predicts autonomous edge ecosystems will transform edge computing within five years, enabling self-managing, AI-powered networks.

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Key Enterprise Data Trends for 2025: Industry Expert Predictions

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In 2025, customer data and AI will drive transformative shifts. CDPs will consolidate, embracing “zero-copy” architectures, while generative AI will create a divide between thriving and lagging businesses. Retail media networks must improve targeting, and CTV will dominate advertising. Generative AI will replace dashboards with real-time analytics, enabling faster decisions. Low-code tools will democratise advanced data capabilities, making AI and analytics accessible to more organisations. Clean, organised data and cohesive strategies will be critical for success.

Augmenting Process Design with Generative AI and Multimodal Inputs

Generative AI is revolutionizing process design by automating ideation, optimizing workflows through simulations, and adapting dynamically to real-time data. Using multimodal inputs like text, images, audio, and sensor data, it enables deeper insights and innovative solutions across industries. Applications include manufacturing, healthcare, retail, and energy, where AI enhances efficiency, scalability, and customization. By addressing complex challenges, it minimizes inefficiencies and fosters creativity.

AI Quote of the Week

“AI and ML are critical in advancing edge cloud services and SDN. They enable intelligent traffic routing, predictive maintenance,and adaptive scaling to meet fluctuating demand. For instance, machine learning models.”– with Jeff Geiser, VP of Customer Experience at Zenlayer