By FM Contributors, contributing writers for Financemagnetes.com
Risk management is a key function for businesses of all sizes, assisting them in identifying, assessing, and mitigating potential hazards. Big data and analytics are developing as significant instruments for effective risk management in the digital age, when data is available. Businesses can acquire important insights and make informed decisions to minimize risks and maximize possibilities by leveraging the massive volumes of data accessible.
By MIT Technology Review Insights, contributing writers for Technologyreview.com
After decades of research and development, mostly confined to academia and projects in large organizations, artificial intelligence (AI) and machine learning (ML) are advancing into every corner of the modern enterprise, from chatbots to tractors, and financial markets to medical research. But companies are struggling to move from individual use cases to organization-wide adoption for several reasons, including inadequate or inappropriate data, talent gaps, unclear value propositions, and concerns about risk and responsibility.
By Sunder Balakrishnan, contributing writer for Sdcexec.com
Now is the time to use insights and analytics to unlock greater productivity, efficient allocation of resources, better in-stock rates and strategic decision-making BEFORE issues arise.
By Rhodri Marsden, contributing writer for FT.com
How do you achieve a truly immersive listening experience where the sound is all-enveloping? Headphones can do it to some degree by shutting out the world and pushing sound directly into the ear. Multi-speaker surround-sound is another option, although it’s somewhat tedious to set up. But back in 2015, Dr Marcos Simón had another idea while working at the Institute of Sound and Vibration Research at the University of Southampton: what if you could give people the experience of spatial sound without using headphones, but with computer vision guiding it directly to their ears?
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