Generative AI continues to change various aspects of our lives, whether at home or at work. Unlike traditional AI focused on analyzing existing data, generative AI can create entirely new content. This ability stems from machine learning algorithms trained on massive datasets and allows them to identify patterns and replicate them to produce creative content.
One of the main questions that circles around GenAI is this: Are businesses utilizing its full potential?
On GenAI Today, we’ve seen Nutanix and NVIDIA team up to democratize AI. SmartBear's HaloAI was introduced to automate testing for faster development. IBM and AWS partnered to enhance AI capabilities with watsonx integration.
But that’s not all that has been happening around GenAI. Let’s explore some recent advancements and developments:
Intel's Open AI Systems and Industry Collaborations Accelerate GenAI Adoption
Intel announced a new AI accelerator, Gaudi 3, designed for enterprise GenAI applications. Gaudi 3 is faster and more efficient than its predecessor and is designed to be scalable for large deployments. Intel also announced a suite of new open, scalable AI systems and collaborations with industry leaders to accelerate GenAI adoption.
In addition to Gaudi 3, Intel revealed its expanded AI roadmap, including new Xeon processors, client and edge computing solutions, and open Ethernet networking for AI fabrics. These solutions are designed to address the challenges businesses face in scaling AI initiatives, from training to deployment. Intel is also committed to making AI accessible, open and secure for enterprises by collaborating with industry leaders to develop an open platform for enterprise AI.
Gain Full Visibility into Your AI Stack with New Relic AI Monitoring
New Relic announced the general availability of its AI monitoring tool with new features to help businesses using AI applications.
New Relic AI monitoring aims to address the challenges businesses face in adopting AI by providing a comprehensive solution for monitoring the entire AI stack. This includes features like automatically setting up monitoring for popular AI frameworks, providing a holistic view of the AI ecosystem, allowing analysis of user feedback alongside AI responses and tracing the lifecycle of AI responses for troubleshooting/
It also includes features like maintaining data security, comparing performance and cost of different AI models and integrating with various AI components. This lets businesses find and fix issues faster, optimize AI application performance and cost and deliver better customer experiences.
New AI Assistant Automates Tasks and Provides Real-Time Insights for IT Teams
SymphonyAI launched a new AI tool, Apex Enterprise IT Copilot, designed to improve IT service management. This AI assistant integrates with existing systems to provide a holistic view of services and uses generative AI to deliver on-demand information and support to end users, analysts and IT leaders.
The Copilot aims to boost agent productivity and customer satisfaction by automating routine tasks, providing relevant knowledge articles and offering real-time insights for better decision making. It benefits different user groups. End users can self-serve through knowledge searches and automated tasks. Analysts receive assistance with issue management. Leaders gain access to real-time trends and predictions.
New AI Security Features Address Risks of Generative AI Tools
Adaptive Shield, a company specializing in SaaS security, announced new features for its platform to address security risks introduced by generative AI (GenAI) applications. Adaptive Shield's new SaaS Security Posture Management capabilities offer AI-driven detection and response to mitigate these risks. Their platform provides features like security posture analysis for AI apps, control over AI configurations within SaaS applications and data leakage prevention. This allows businesses to manage and control GenAI tools while maintaining security and compliance.
IBM Consulting Launches IBM Copilot Runway
IBM Consulting launched a new offering, IBM Copilot Runway, to help businesses create and deploy custom Microsoft Copilot solutions. Copilot integrates generative AI into workflows to improve productivity. IBM will work with clients to build Copilots for specific needs, including tasks like contract analysis, customer service and employee engagement.
They'll also open IBM-Microsoft Experience Zones globally where clients can co-create solutions using Copilot. This partnership aims to empower businesses with generative AI solutions.
As GenAI continues to develop and become more accessible, we can expect to see even more innovative applications emerge across various industries.
Edited by
Alex Passett
