With the massive amounts of investment in AI made by enterprises in recent years – and the acceleration of digital transformation across organizations to address shifts in user behavior – LXT’s goal with their new report on the ROI of high-quality training data was to understand the impact of these trends in terms of AI maturity, along with the drivers for AI and the success factors for these initiatives.
Introducing Innodata’s New AI Data Marketplace
Innodata is excited to announce its new Innodata AI Data Marketplace – an e-commerce portal where users can purchase on-demand datasets to accelerate AI/ML model building and training. With easy access to curated, industry-leading datasets, data science teams can now overcome persistent data challenges that often hamper AI initiatives, such as volume, variety, and privacy constraints.
Hewlett Packard Enterprise Accelerates AI Journey from POC to Production with New Solution for AI Development and Training at Scale
Hewlett Packard Enterprise (NYSE: HPE) announced that it is removing barriers for enterprises to easily build and train machine learning models at scale, to realize value faster, with the new HPE Machine Learning Development System. The new system, which is purpose-built for AI, is an end-to-end solution that integrates a machine learning software platform, compute, accelerators, and networking to develop and train more accurate AI models faster, and at scale.
LXT Introduces New Executive Survey, The Path to AI Maturity
LXT, an emerging leader in global AI training data, announced the findings of its first annual executive survey, The Path to AI Maturity. The new report highlights that investment in artificial intelligence is strong at mid-to-large US organizations, and that 40% rate themselves at the three highest levels of AI maturity, having already achieved operational to transformative implementations. A key component to success across all organizations is AI training data, in terms of both quality and investment.