Canonical has officially released Charmed MLFlow, their version of the well-known machine learning platform. Charmed MLFlow is designed for tasks like model registry and experiment tracking and seamlessly integrates with AI and big data tools like Apache Spark and Kubeflow. It’s flexible and can be deployed on various infrastructure types, from workstations to public and … continue reading
OpenAI is introducing new features for voice and image interactions. These features provide a more intuitive way to communicate with ChatGPT, allowing users to engage in voice conversations and share visual content to enhance the conversation. The addition of voice and image features in ChatGPT offers users more versatile ways to use the tool in … continue reading
Microsoft is announcing Microsoft Copilot, a general AI copilot that will work across the entire Windows platform. Previously the company has released other AI copilots, such as the new AI-powered search in Bing, and Microsoft 365 Copilot, which works across Microsoft 365 apps like Word, Excel, PowerPoint, Outlook, and Teams. “Today we take the next … continue reading
The artificial intelligence-augmented software-testing market continues to rapidly evolve. As applications become increasingly complex, AI-augmented testing plays a critical role in helping teams deliver high-quality applications at speed. By 2027, 80% of enterprises will have integrated AI-augmented testing tools into their software engineering toolchain, which is a significant increase from 10% in 2022, according to … continue reading
Amazon has unveiled the future of Alexa, revealing plans to harness the power of a specialized large language model (LLM) optimized for voice interactions. This development is expected to enhance the user experience with Alexa, making interactions more natural and conversational. The company emphasized the importance of involving developers in this journey to shape and … continue reading
AWS has announced a new feature that will let companies connect their own data sources to foundation models (FMs), which are general AI models that are trained on a large set of data and then can be adapted further for specific uses. This is an extension of the company’s recent announcement for Amazon Bedrock that … continue reading
Perforce Software, a DevOps solutions provider, has introduced Test Data Pro by BlazeMeter, an advanced component of its continuous testing platform. Test Data Pro utilizes AI technology to streamline and make test data generation more accessible. The primary goal is to address the significant challenge of obtaining accurate and synchronized test data, which is particularly … continue reading
Project management company Planview has unveiled Planview Copilot, an advanced AI assistant designed for connected work, during its annual event, Planview Accelerate. This AI assistant, trained using a comprehensive dataset, provides operational insights in Portfolio Management, Value Stream Management, and Agile Planning and Delivery. It aims to expedite data-driven strategic decision-making through a conversational interface. … continue reading
Teradata has introduced a generative AI feature called ask.ai for VantageCloud Lake. This feature enables authorized users to ask questions about their company’s data and get immediate responses from VantageCloud Lake, a comprehensive cloud analytics and data platform for AI. The introduction of ask.ai reduces the need for complex coding and querying, resulting in significant … continue reading
Only 23% of development teams are actually implementing AI today in their software development life cycle. This is according to GitLab’s State of AI in Software Development report, which surveyed over 1,000 DevSecOps professionals in June 2023. Despite low adoption now, when you add in the number of teams planning to use AI, that number … continue reading
The main goal of this project created by Contrast Security is to create a clear and usable policy for managing privacy and security risks when utilizing Generative AI and Large Language Models (LLMs) in organizations, according to the project’s GitHub page. The policy primarily aims to address several key concerns: 1. Avoid situations where ownership … continue reading