Vectice is the Auto-Documentation Solution for ML projects and their governance. Vectice automates documentation by capturing metadata, lineage, and context with simple APIs.

Suvendu Mohanty changed from software to ML engineering before the AI boom. Here's how he made the switch — and his advice ...

Artificial intelligence and machine learning bring new vulnerabilities along with their benefits. Here's how experts minimized their risk.

Amazon on Thursday unveiled CodeWhisperer, a new tool for developers that denerates code recommendations. The machine learning-powered tool is currently available in preview. CodeWhiperer provides ...

Enterprise IoT projects: Data, ML, security, and other key factors The Internet of Things has been hyped, discussed and piloted for years, but is now beginning to deliver real business benefits.

Technology research firm Gartner, Inc. has estimated that 85% of artificial intelligence (AI) and machine learning (ML) projects fail to produce a return for the business. The reasons often cited ...

If you’re spending months hand-tuning your machine learning model to run well on a particular type of processor, you might be interested in a startup called OctoML, which recently raised $28 million ...

AI and ML projects will fail without good data because data is the foundation that enables these technologies to learn. Data strategies and AI and ML strategies are intertwined.

Data scientists face the challenge of capturing and documenting models, datasets, code, and attachments across different ML tools and platforms. This is precisely where Vectice’s ML Auto-documentation ...

Press Release Vectice, a leader in ML Auto-Documentation and Governance, is thrilled to announce the release of its latest product: Auto-documentation for ML projects & their governance. This ...