In this special guest feature, Amit Shingala, CEO of Motadata, points out that with the vast amounts of incoming data, it can be difficult to identify and estimate all the complications. Therefore, IT organizations must evaluate the benefits of introducing AIOps for network monitoring.
Today, MLCommons®, an open engineering consortium, released new results from MLPerf™ Training v2.0, which measures the performance of training machine learning models. Training models empowers researchers to unlock new capabilities faster such as diagnosing tumors, automatic speech recognition or improving movie recommendations. The latest MLPerf Training results demonstrate broad industry participation and up to 1.8X greater performance ultimately paving the way for more capable intelligent systems to benefit society at large.
In this contributed article, Sarah Davies, Chief Data and Analytics Officer, Nova Credit, explains how alternative data sources are the solution to solving for financial inclusion, the strategic advantages data provides for lenders, and why data collection should be seen as a long-term investment.
In this contributed article, editorial consultant Jelani Harper highlights how Natural Language Generation (NLG) is arguably the nexus point of natural language technologies. It utilizes Natural Language Processing (NLP), is a prerequisite for conversational AI, and largely requires Natural Language Understanding (NLU) for meaningful responses to interrogatives or commands.