Harnessing Big Data in Healthcare

Healthbox

The evolution of sensors, smart phones, medical devices, and wearables all collecting and uploading information in real-time has led to the rapid accumulation of health-related data, or Big Data. The sheer volume, velocity, and variety of the data being collected poses challenges for harnessing and ensuring its validity to benefit both the macro, population-level health and the micro, evidence-based precision medicine. Join Dr. Eric Louie, Chief Medical Officer, and Jessica Baker, Associate, as they discuss changes in healthcare data over time and how to overcome human biases, curate meaningful data sets, and better inform actionable decisions in the healthcare setting.
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Spotlight

This report looks at the data lake and data lakehouse approach to analytics, highlights the key vendors in this space, and aims to assist organizations in their decision-making process to select the solution that best suits their needs. Cloudera’s data lakehouse solution is rated as a Leader and a Fast Mover. Download this repor

OTHER ON-DEMAND WEBINARS

The Software-Defined Data Center: A Foundation for Digital Transformation

tierpoint

As reported in Forbes last year, 73% of companies are planning to move to a fully software-defined data center within two years. A software-defined data center is based on a virtualized environment of compute, storage, networking and security in conjunction with policy-based management and automation. The evolution from a traditional data center architecture to one that is software-defined can take months if not years but can yield immense benefits for the business. Join us for a discussion on the progress toward the fully software-defined data center, including benefits of infrastructure as code and overcoming challenges associated with traditional workflows.
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Predictive Analytics vs. Data Science: Why We Built One and Not the Other

In this webinar, Heap’s head of Data Science, David Robinson, will talk about why we took a data-science-led approach to insights that starts with the questions teams actually care about. He’ll also talk about how a combined quantitative + qualitative platform gives teams the predictive information they need and the context that makes that information actionable.
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Democratizing Data Science With No-Cod

The pace at which the field of data science is expanding makes it impossible for the enterprises to catch up to the state of the art solutions. To avoid falling short of the demands of burgeoning digital revolutions, solutions like APIs, drag and drop analytics, low code and even no-code have been developed. For instance, no-code tools bridge the gap between domain expertise and niche skills of the developers. Know more about why enterprises are increasingly leaning on no code solutions in the upcoming webinar being organised by Analytics India Magazine in association with HP.
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How Enterprises Are Leveraging Data & Analytics to Deliver 2X More Value from Their Shared Services Centers

everestgrp

As technology adoption increases exponentially, organizations are challenged by the proliferation of data that the technology generates. Increasingly, Shared Services Global In-house Centers (GICs) are leading their organizations’ efforts to tame data and derive key insights from it. Based on our recent Pinnacle Model research on data & analytics maturity in SSCs/GICs, this webinar will show executives how they can build capabilities in their SSCs GICs to turn this challenge into a strategic asset, generating value and enhancing service delivery
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Spotlight

This report looks at the data lake and data lakehouse approach to analytics, highlights the key vendors in this space, and aims to assist organizations in their decision-making process to select the solution that best suits their needs. Cloudera’s data lakehouse solution is rated as a Leader and a Fast Mover. Download this repor

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