Dive into the world of AI, technology and innovation as we bring you the latest and most talked about stories, top thought leadership insights and more happening in the digital and AI space.
From Breakthrough artificial intelligence and Machine Learning Our curation will keep you informed and up to date on advancements across the technology sector. Whether it's a glimpse into the future of AI or spotlighting groundbreaking research, these highlights will keep you up to date across the tech industry.
Explore the cutting edge of AI technology head-by-headline.
1.Commvault Appoints Pranay Ahlawat as Chief Technology Officer and Chief AI Officer
Commvault has appointed Pranay Ahlawat as its first Chief Technology and AI Officer. Ahlawat will lead Commvault's product development focused on improving cyber resilience with the latest AI technologies. He will report to Rajiv Kotmutalail, Chief Product Officer. Ahlawat has extensive experience in AI, cloud and infrastructure software from his time at Boston Consulting Group advising SaaS companies on product innovation. Ahlawat aims to create cutting-edge cyber resilience solutions that address security challenges. Rajiv Kotmutalail said Ahlawat's expertise will help Commvault with advanced developments. AI-powered solutions their Data Management and Cyber Recovery Platform.
2.Accenture Develops Custom Llama LLM Model with NVIDIA AI Foundry
Accenture is using NVIDIA AI Foundry to launch its AI Refinery framework to help clients build custom AI. Large-scale language models The company is combining LLM with Meta's Llama 3.1 model. The framework allows companies to refine LLM with their own data and processes to build AI systems tailored to their specific needs. Generative AI It enables businesses to develop domain-specific knowledge and deploy powerful, industry-aligned AI solutions. Accenture CEO Julie Sweet highlighted the transformative potential of generative AI, while NVIDIA CEO Jensen Huang highlighted the framework's role in driving business growth and innovation.
3.Snowflake Partners with Meta to Host and Optimize New Flagship Model Family for Snowflake Cortex AI
Snowflake will host Meta's Llama 3.1 models on Cortex AI, enabling enterprises to build and scale custom AI applications. The Llama 3.1 405B model benefits from Snowflake's optimized inference and fine-tuning system, delivering real-time, high-throughput performance on a single GPU. This enables enterprises to take advantage of advanced AI without complex infrastructure. Snowflake's AI research team has also open-sourced the optimization stack, making Llama models more efficient. Snowflake will ensure AI safety with Cortex Guard, which protects against harmful content. The framework supports enterprises in creating customized, powerful AI applications. AI Solutions Ensure your AI applications are reliable and secure.
Four.ServiceNow Acquires Raytion to Power AI-Powered Search and Knowledge Management
ServiceNow acquired Raytion to enhance GenAI-powered search and knowledge management on the Now Platform. Raytion's advanced information search technology provides integrated, real-time access to critical data from various sources. The integration enhances ServiceNow's AI search capabilities, allowing users to easily find relevant information without knowing its exact location. The integration technology aims to improve data accessibility, personalize search results and support efficient problem resolution across the enterprise. The acquisition supports ServiceNow's transformation goals. Business Process Smarter, more integrated AI solutions improve user experience.
Five.Shaip Launches AI Platform for Application Assessment and Monitoring
Shaip launched its Generative AI platform to address issues of data quality, model performance, scalability, and regulatory compliance. The platform supports the entire lifecycle of large-scale language model (LLM) development, from ethical data generation to real-time system monitoring. It provides high-quality and diverse data, tools for experimentation and evaluation with automated metrics, and real-time performance tracking. Key features include support for synthetic and user-provided data, model comparison, and compliance with ethical standards. The platform is designed for a range of AI applications and offers flexible cloud and on-premise integration options.
6.Hitachi Vantara Launches Hitachi iQ and AI Discovery Services
Hitachi Vantara has launched its Hitachi iQ portfolio of AI-enabled infrastructure, solutions and services. The first products are certified with NVIDIA DGX BasePOD. AI applications. Hitachi iQ, powered by Hitachi Content Software for File, delivers speed and efficiency to accelerate insights and drive business outcomes. As many organizations prioritize generative AI, Hitachi Vantara's solutions meet rigorous standards to handle demanding AI workloads. Additionally, the company offers AI discovery services to help customers identify valuable AI use cases, assess data readiness, and develop a strategic AI implementation roadmap.
AI Trend Spotlight: Weekly Expert Perspectives on AI
AiThority Interview with Vikram Murali, VP of Software Development, Application Modernization and IT Automation at IBM
AIThority: Voice of the Week
Vikram, vice president of software development for IBM Automation, has nearly 20 years of experience at IBM, previously leading the development of Watsonx.data and currently oversees IT and software solutions. Network AutomationIBM Concert empowers application owners by transforming siloed data into actionable insights and improving efficiency and outcomes through AI. Generative AI (GenAI) improves business productivity and customization. IBM Concert helps IT teams manage compliance and application performance and address misconceptions about the AI skills gap. Vikram suggests using AI to augment human intelligence, ensure transparency in AI interactions and provide effective employee training. AI Integration.
AiThority Interview: Steve Womer, SVP of Interface Systems Engineering
Steve's technology career began with an internship at Educate Online and included roles at Industry Retail Group and SD-WAN focused startups. He is currently working on sales engineering and integrating AI with video and security technologies at Interface Systems. Interface manages its network infrastructure by standardizing physical installations and using redundant connections. AI Technology Including advanced video analytics and AI-powered insights to streamline operations and improve client service. A recent success story is streamlining technology for a car wash chain to increase efficiency. In the future, Steve envisions AI handling mundane tasks and improving compliance through real-time analytics, although complex safety scenarios remain an upcoming challenge for AI.
Must-read articles you can't miss
Building a content supply chain in the age of generative AI
Staff articles you can't miss
Executives are eager to leverage generative AI due to the rapid growth in content demand, predicted to grow 5-20x over the next two years. The technology can help meet demand efficiently and cost-effectively. But it also introduces risks, such as violating enterprise style guides that ensure content consistency and compliance. Style guides are essential to maintain tone, avoid legal issues, and protect brand reputation. As content volume grows, a structured content supply chain with quality assurance is needed to safely scale production. Automating content scoring and alignment with style guides can help manage this scale and maintain high standards.
Understanding Shadow AI: A Critical Step to Protecting Your Business
AI is now part of everyday life, with 55% of Americans using it daily and 27% using it nearly all the time. This includes the workplace, leading to “shadow AI,” or employee use of AI. AI Tools Shadow AI represents a productivity gain for companies that develop a large amount of software that exploits AI without corporate approval. While shadow AI increases productivity, it also brings risks such as security breaches, privacy issues, and compliance issues. Unlike shadow IT, which involves the use of unauthorized software, shadow AI specifically refers to unsanctioned AI tools. These unmonitored tools can compromise data security, quality, and operational consistency, leading to legal and compliance challenges. Companies must address these risks to safely integrate AI technologies.
Insightful AI Quote of the Week
“Offshore outsourcing is helping to continually reduce cost models, and the next level is outsourcing to AI. There are several areas where this is happening.” – Steve Womer, Senior Vice President of Engineering, Interface Systems
“AI-powered tools can help organizations meet compliance requirements by effectively managing application performance and security certifications.”Vikram Murali, vice president, software development, application modernization and IT automation, IBM
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