Dive into the world of AI, technology and innovation as we bring you the latest and most viral stories buzzing in the digital and AI arena, top thought leadership ideas and much more.
Breakthroughs in AI And Machine learning From technological advancements to our articles, our selection keeps you informed and up to date. Whether it’s a glimpse into the future of AI or a spotlight on groundbreaking research, these articles will give you the latest news from the tech industry as a whole.
Explore the frontiers of AI technology, one title at a time.
1.Commvault Appoints Pranay Ahlawat as Chief Technology and AI Officer
Commvault Commvault has appointed Pranay Ahlawat as its Chief Technology and AI Officer. Pranay Ahlawat will lead Commvault’s product development, focusing on improving cyber resilience through modern AI technologies. He will report to Rajiv Kottomtharayil, Chief Product Officer. Pranay Ahlawat brings extensive experience in AI, cloud, and infrastructure software from his previous roles at Boston Consulting Group, where he advised SaaS companies on product innovation. Pranay Ahlawat aims to create cutting-edge cyber resilience solutions to address security challenges. Rajiv Kottomtharayil said Ahlawat’s expertise will help Commvault develop advanced cyber resilience solutions. AI-based solutions for their Data management and the cyber recovery platform.
2.Accenture Launches Llama Custom LLM Models with NVIDIA AI Foundry
Accenture launched the AI Refinery framework using NVIDIA AI Foundry to help customers create personalized products Large language models (LLM) with Meta’s Llama 3.1 models. This framework allows companies to refine LLMs with their data and processes, creating AI systems tailored to their specific needs. It represents a significant step forward Generative AI for businesses, enabling them to develop domain-specific knowledge and deploy powerful AI solutions tailored to their industries. Julie Sweet, CEO of Accenture, highlights the transformative potential of generative AI, while Jensen Huang, CEO of NVIDIA, highlights the role of this framework in business growth and innovation.
3.Snowflake Partners with Meta to Host and Power a New Family of Featured Models in Snowflake Cortex AI
Snowflake hosts Meta’s Llama 3.1 models in its Cortex AI, enabling enterprises to build and scale custom AI applications. The Llama 3.1 405B will benefit from Snowflake’s optimized inference and fine-tuning systems, delivering real-time, high-throughput performance on a single GPU. This makes advanced AI accessible without complex infrastructure. Snowflake’s AI research team has also open-sourced its optimization stack, improving the efficiency of Llama models. Snowflake provides AI security with Cortex Guard, which protects against harmful content. The framework helps enterprises build powerful, custom applications AI Solutions while ensuring trust and security in their AI applications.
4.ServiceNow Acquires Raytion to Power AI-Driven Search and Knowledge Management
ServiceNow ServiceNow Corp. has acquired Raytion to enhance its GenAI-powered search and knowledge management on the Now platform. Raytion’s advanced information search technology will enable unified, real-time access to critical data from a variety of sources. This integration will enhance ServiceNow’s AI search capabilities, making it easier for users to find relevant information without knowing its exact location. The combined technology aims to improve data accessibility, personalize search results, and support efficient problem solving across businesses. This acquisition supports ServiceNow’s goal of transforming business process and improve user experience with smarter, more integrated AI solutions.
5.Shaip Launches AI Platform for Application Evaluation and Monitoring
Shaip launched its generative AI platform to address data quality, model performance, scalability, and regulatory compliance issues. The platform supports the entire lifecycle of large language model (LLM) development, from ethical data generation to real-time system monitoring. It offers diverse and high-quality data, experimentation and evaluation tools with automated metrics, and real-time performance monitoring. Key features include support for synthetic and user-provided data, model comparison, and compliance with ethical standards. The platform is designed for various AI applications and offers flexible integration options in the cloud and on-premises.
6.Hitachi Vantara launches Hitachi iQ and AI Discovery service
Hitachi Vantara launched the Hitachi iQ portfolio, which includes AI-enabled infrastructure, solutions, and services. The first offering, certified by NVIDIA DGX BasePOD, ensures high performance and reliability for Applications of AI. Hitachi iQ is powered by Hitachi Content software for files, which delivers speed and efficiency to accelerate insight and drive business outcomes. Many organizations are prioritizing generative AI, and Hitachi Vantara solutions meet rigorous standards to handle demanding AI workloads. In addition, the company offers an AI Discovery service to help customers identify valuable AI use cases, assess data readiness, and develop a strategic AI implementation roadmap.
AI Trends: Weekly Expert Perspectives on AI
AiThority Interview with Vikram Murali, Vice President of Software Development, Application Modernization and IT Automation at IBM
AIThority: Voice of the Week
Vikram, Vice President of Software Development at IBM Automation, has nearly two decades of experience at IBM. He previously led the development of Watsonx.data and now oversees software solutions in the areas of IT and automation. Network Automation. IBM Concert helps application owners transform siloed data into actionable insights, improving efficiency and outcomes with AI. Generative AI (GenAI) advances business productivity and personalization. IBM Concert helps IT teams manage application compliance and performance, addressing myths about AI skills gaps. Vikram suggests using AI to augment human intelligence, ensuring transparency in interactions with AI and providing employee training for efficiency AI Integration.
AiThority Interview with Steve Womer, Senior Vice President of Engineering at Interface Systems
Steve’s technology career began with an internship at Educate Online, before progressing to roles at Industry Retail Group and an SD-WAN-focused startup. Interface systemsIt improves sales engineering and integrates AI with video and security technologies. Interface manages network infrastructure by standardizing physical installations and using redundant connections. Cloud and AI Technologies streamline operations and improve customer service, such as advanced video analytics and AI-driven insights. A recent success involved streamlining technology for a car wash chain, improving their efficiency. In the future, Steve envisions AI handling routine tasks and improving compliance through real-time analytics, although complex safety scenarios remain AI’s future challenge.
Essential readings not to be missed
Building a Content Supply Chain in the Age of Generative AI
Staff article not to be missed
Executives are eager to use generative AI because of the rapid growth in demand for content, which is expected to increase 5-20x in two years. The technology helps meet demand efficiently and cost-effectively. However, it also poses risks, such as violating corporate style guides that ensure content consistency and compliance. Style guides are essential for maintaining tone, avoiding legal issues, and protecting brand reputation. As the volume of content increases, safely scaling production requires a structured content supply chain with quality assurance. Automating content scoring and alignment with style guides can help manage this scale and maintain high standards.
Understanding Ghost AI: Key Steps to Protect Your Business
AI is now part of everyday life: 55% of Americans use it daily and 27% almost constantly. This includes workplaces, giving rise to “Shadow AI”: employees use it AI Tools Without business approval. While shadow AI can increase productivity, it also poses risks such as security breaches, privacy issues, and compliance concerns. Unlike shadow IT, which involves the use of unauthorized software, shadow AI specifically refers to unauthorized AI tools. These unmonitored tools can compromise data security, quality, and operational consistency, and can lead to legal and compliance issues. Organizations must address these risks to safely integrate AI technologies.
Insightful AI Quotes This Week
“Offshore outsourcing has helped drive costs down, with the next step being outsourcing to AI. There are a few areas where I see this coming into focus. – Steve Womer, senior vice president of engineering at Interface Systems
“AI-powered tools can help organizations meet compliance requirements by helping them effectively manage application performance and security certificates” –Vikram Murali, vice president of software development, application modernization and IT automation at IBM
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