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Are Feature Stores The Next Big Thing In Machine Learning?

I’m expecting 2021 to be the year of the feature store— Mike Del Balso, CEO and co-founder of Tecton According to a Gartner study, 85 percent of AI projects will flatline by 2022. Even the most diligent machine learning models may not meet expectations when deployed in an enterprise setting, mainly due to two reasons — inadequate data infrastructure and talent scarcity. In the machine learning pipeline, search for appropriate...

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How Uber’s Michelangelo Contributed To The ML World

In 2017, Uber introduced its ML-as-a-service platform Michelangelo to democratise machine learning and make scaling AI ‘as easy as requesting a ride’. In 2020 Q1, Uber made a staggering 1,658 million trips a day on average. With such a big fleet of vehicles and drivers and an ever-growing customer base, Uber has access to a rich dataset. Uber has always been bullish on AI and machine learning, and Michelangelo is one of its pet...

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The Lottery Ticket Hypothesis That Shocked The World

In machine learning, bigger may not always be better. As the datasets and the machine learning models keep expanding, researchers are racing to build state-of-the-art benchmarks. However, larger models can be detrimental to the budget and the environment. Over time, researchers have developed several ways to shrink the deep learning models while optimizing training datasets. In particular, three techniques–pruning, quantization, and...

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Red Hat OpenShift Can Now Be Accessed Through AWS. What Does It Mean?

The Red Hat OpenShift Service (ROSA) is now generally available. ROSA will now be available via AWS Console to the general public to build, scale, and manage containerized applications. Customers will be able to easily create Kubernetes clusters with the familiar Red Hat OpenShift without having to manage the underlying infrastructure manually. Notably, Red Hat and AWS joined hands in November 2020, bringing OpenShift on AWS. General...

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Digital Technologies Have Made Medicine More Precise: Dileep Mangsuli, Siemens Healthineers

The digital revolution has transformed almost every industry including the healthcare sector. Taking the cue, Siemens Healthineers has invested heavily in digital transformation and emerging technologies.  Analytics India Magazine got in touch with Dileep Mangsuli, executive director at Siemens Healthineers, to understand more about healthcare and digital transformation. Excerpts: AIM: What are Siemens Healthineers’ most noteworthy...

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Data Anonymization Is Not A Fool Proof Method: Here’s Why

Data anonymization is the process of stripping all personally identifiable information from the dataset while retaining only the relevant part without compromising the users’ privacy. One of its most important applications is in healthcare. Hospitals often remove patients’ names, addresses, and other vital information from the health records before incorporating them into large datasets. Loopholes In Data Anonymization In a few...