Machine Learning (ML) can empower a business and optimize its performance. However, according to Gartner, 85% of data science and machine learning projects fail.
These projects aren’t delivering value because companies lack technical skills and have recurring issues with data infrastructure, deployment, and operationalization.
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Opswat
See how OPSWAT's MetaDefender USB Client monitors endpoints for connected USBs and blocks them until they've been scanned by MetaDefender. This webinar looks at MetaDefender Client and provides a live demo of how the USB feature works.
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Machine learning techniques cannot magically make “signal” appear out of thin air, nor can they make unstable factors more stable. Data science typically succeeds where there are complex behaviors that can be described in data and where consistent inputs lead to consistent “predictable” outcomes.
Nevertheless, there are a number of useful best practices that set apart machine learning techniques from the traditional quantitative toolbox, and automated machine learning has a compelling proposition for modern quantitative traders and investors.
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Intellyx
90% of WAN infrastructure deployed today was designed 20 years ago to address a singular requirement - to provide connectivity from branch to datacenter over MPLS. The WAN is at an inflection point and faced with unprecedented demands, including cloud and SaaS apps, UC as a service, and the ability to deliver new services rapidly and securely.
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