Democratizing Data Science With No-Cod

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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Spotlight

OTHER ON-DEMAND WEBINARS

Overcoming the Obstacles for Data Lake Success

Business users have a tremendous appetite for data. The “single version of the truth” was a rallying cry to deliver business data in data warehouses for years. Users were able to digest and analyze large volumes of corporate data. They reviewed trends, identified anomalies, and supported decision-making because they had the detailed data to support action. As the business/data environment matured, the need for more diverse detail and increased delivery speed only grew. The data lake became a successful mechanism for delivering data from diverse systems in a timely manner.
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Data Privacy Using AI-Driven Data Catalogs

Do you have your Enterprise’s data privacy under control? Do you know what datasets are sensitive and who has access? Many companies are behind on privacy and regulatory compliance (GDPR, CCPA, etc.). Legacy tools and manual processes are inaccurate and error prone and can force you to choose between delaying data access by months, or increased compliance risk.
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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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Data & Analytics Leadership and Vision for 2019

Gartner

- Establish a trusted foundation of data management - Increase the data literacy of all roles in the enterprise - Scale data and analytics capabilities for the complexity of modern digital business
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