Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

The surge in digital data presents both unprecedented opportunities and formidable challenges across industries. A recent scoping survey sheds light on the transformative role of machine learning (ML) ...

The pharmaceutical industry is undergoing a seismic transformation, driven by the integration of data science and analytics. As the demand for novel therapies and personalized medicine surges, leaders ...

Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...

Overview Data science roles are expanding as AI tools handle more routine work.Foundation models are replacing task-by-task ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Sumit Ranjan, machine learning engineer and software architect, expects the growth to increase in the coming years. Ranjan, who started his professional career at PayPal, has witnessed the AI ...

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...