Accelerate Decision Making with Real-Time Analytics on AWS

Amazon Web Services, Inc

The number of sources generating continuous, streaming data has exploded in recent years. From website clickstream data to telemetry data from Internet of Things (IoT) devices, the variety, volume, and velocity of data continues to increase. In response, businesses are evolving their analytics approach from batch to real time, and turning to new tools to deliver actionable insights in seconds instead of hours or days. With AWS, you can easily and cost-effectively collect, process, and analyze real-time streaming data at any scale, so you can learn what your applications and customers are doing right now—and respond immediately.
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Spotlight

The healthcare industry is currently experiencing a significant transformation, as Big Data continues to be leveraged in unprecedented ways. The availability of vast quantities of electronic health records, medical claims, and other health-related data has allowed healthcare providers to harness the power of Big Data in order to drive innovation and improve patient outcomes.

OTHER ON-DEMAND WEBINARS

Why BI Programs Fail to Scale: The Data Decision Gap

The global investment in digital transformation estimated to exceed $10 trillion over the next five years. Despite the tremendous resources going towards this cause, studies show that up to 70% of these initiatives will not achieve their stated goal. What does it take to win?
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How to Become Citizen Data Scientist

alteryx.com

As organisations look to enrich their approach to advanced analytics, employees company-wide are filling the skills gap. These are todays citizen data scientists, dedicated to solving problems and building solutions with data, no matter what their background. For them to truly exceed, they need powerful, enabling technology and a framework to use it.
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How to Modernize Data Lake Technologies with Cloud-Based Solutions

tdwi.org

Data lakes based on Hadoop technologies have proved themselves valuable in mission-critical use cases such as data warehousing, advanced analytics, multichannel marketing, complete customer views, digital supply chains, and the modernization of data management.Most Hadoop users are committed to the data lake method of managing data, but they are limited by Hadoop shortcomings in key areas such as cluster maintenance, administration cost, resource management, metadata management, and support for SQL and other relational technologies. Many view cloud-based solutions as the optimal replacement for their data lake, but they are not ready to make such a significant change. The truth is: they don't have to, as the two technologies can coexist.
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Delivering AI/ML and BI into New Digital Transformation Use Cases

Staying competitive in today’s economy requires that organizations derive intelligent insights from data and make their processes automated, intelligent, adaptive, and self-optimizing. This is where artificial intelligence (AI) and machine learning (ML) play a central role in business transformation.
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Spotlight

The healthcare industry is currently experiencing a significant transformation, as Big Data continues to be leveraged in unprecedented ways. The availability of vast quantities of electronic health records, medical claims, and other health-related data has allowed healthcare providers to harness the power of Big Data in order to drive innovation and improve patient outcomes.

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