The Age of Big Data – Big Opportunities or Big Barriers?

It’s no secret: Higher Education institutions that have leveraged their vast stores of enterprise and learning data have seen improved student performance, increased instructor effectiveness, reduced costs, and a decrease in administrative workloads. However, it has become apparent to most institutions that the data also comes with significant barriers. At IBM and D2L, we believe BIG data does not have to equal BIG barriers…
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Spotlight

OTHER ON-DEMAND WEBINARS

SAP & CDQ Master Data Governance: One-Click onboarding of business partners using external data.

SAP and CDQ have joined forces to deliver a solution for efficient, accurate and quick business partner creation. Forget all the manual googling and document mining to get automated, reliable data. In this webinar, you get an opportunity to learn how this new standard of integrating external data into the SAP Master Data Governance can improve productivity and data quality for your organization.
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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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Optimizing Your Data Analytics Resourcing

Join us for a focused discussion on Data Analytics with health system data analytics leaders. We discuss the decisions, benefits and challenges organizations face when determining how to structure and manage data assets, tools and teams. We’re excited to share diverse perspectives and answer audience questions.
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Overcoming Data Management Challenges in AI/ML

The ever-growing data landscape drives initiatives to automate many aspects of the analytics lifecycle; such as data access, enablement of semantics, BI and others. Automation has become an integral part of our daily lives in the enterprise data fabric. The AI-driven initiative to automate the data access and provide guidance to the right data assets, correlates with the initiatives of the data scientists to get access to more curated data.
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