Infovista
To prepare for and plan the 5G wireless networks of the future, you require geodata that provides an accurate simulation of your real-world environment.Our industry-leading mapping data give your RF engineers the best understanding of their complex planning environments and the accuracy they need to successfully design radio networks using mmWave frequencies.
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In this webinar, we will dive into the evolution of ML platforms. We shed light on how to identify and define the right business use cases for AI deployment. The challenge for enterprises is to select the right tools often ranging from open-source, fit-to-purpose applications to end-to-end ML workbench. We will attempt to demystify the hype and provide our view on building ML applications with real-world examples.
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Fast-growing digital native companies are balancing a complex set of challenges. The need to optimise cost structures and accelerate revenue growth remains critical in an environment where funding rounds are starting to tighten.
Leveraging automation and accelerating the pace of innovation to create a clear path to profitability is key. Increasingly, digital natives are looking to deliver insights at scale and automate routine tasks to make the best use of their resources.
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Massive investments in data science teams and machine learning platforms have yet to yield results for most companies. The last mile for AI project success is the deployment and management of models in production requiring new technology and practices. This new area is called Machine Learning Operations or MLOps.
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