Augmenting BI and Analytics in the Age of AI and Big Data

Arcadia Data

Artificial intelligence (AI) and big data technologies are driving major changes in how organizations think about business intelligence and analytics. Rather than be limited to querying and reporting on just what is in traditional BI systems or data warehouses, many business users and analysts want to tap a fuller range of data in systems running Apache Hadoop, Apache Spark, or on cloud data platforms and storage. At the same time, AI practices and technologies (in particular machine learning and natural language processing) are changing how users explore, analyze, and interact with data and the types of insights they can generate.
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Spotlight

Despite Winston’s Churchill’s admonition to avoid predictions until after events occur, Spectra Logic is publishing its third annual Data Storage Outlook that casts an eye on the future regarding the storage, management and preservation of the world’s treasury of digital information. Knowledge and digital data play vital roles in our global society and, with the digital world exploding at unprecedented rates, digital information must be captured, leveraged and contained for years to come. And, in many cases, must be preserved indefinitely. Predicting future data storage needs and the technologies to satisfy them may not be as exciting as downloading the latest app or playing a virtual reality game, but it is important to storage and media manufacturers, application developers, and all sizable users of data. Understanding future costs, technologies, and applications is vital to today’s planning and tomorrow’s success.

OTHER ON-DEMAND WEBINARS

How Atrium Health Augments Utilization Review with Artificial Intelligence

XSOLIS

Tonya Harrison, Director of Clinical Care Management at Atrium Health (formerly Carolinas HealthCare System), discusses how Atrium Health is using artificial intelligence technology and predictive analytics to help review cases, resulting in significant time savings and increased compliance.
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How to Gain a Crisis Advantage with Real-Time Information

To reduce the impact of an unfolding crisis, companies need a clear, accurate and early line of sight into emerging risks. Leaders can then act with confidence and seize opportunities to preserve brand reputation while driving operational excellence. To demonstrate how real-time information can help companies gain advanced warn
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Data Architecture Best Practices for Advanced Analytics

Many organizations are immature when it comes to data and analytics use. The answer lies in delivering a greater level of insight from data, straight to the point of need. There are so many Data Architecture best practices today, accumulated from years of practice. In this webinar, William will look at some Data Architecture best practices that he believes have emerged in the past two years and are not worked into many enterprise data programs yet. These are keepers and will be required to move towards, by one means or another, so it’s best to mindfully work them into the environment.
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Metadata Governance for Catalogs, Glossaries, Dictionaries, and Data

erwin

Metadata Governance is the execution and enforcement of authority over the management of Metadata and other data documentation. Organizations that govern their data documentation find it easier to govern their data as a result. There is direct correlation between the use of Data Catalogs, Business Glossaries and Data Dictionaries and successful governance of data and Metadata. This month’s RWDG webinar with Bob Seiner will focus on governing the use of the mentioned tools and the Metadata that can be managed inside each one. Bob will talk about governing Metadata in existing Metadata resources versus using new tools to handle this function.
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Spotlight

Despite Winston’s Churchill’s admonition to avoid predictions until after events occur, Spectra Logic is publishing its third annual Data Storage Outlook that casts an eye on the future regarding the storage, management and preservation of the world’s treasury of digital information. Knowledge and digital data play vital roles in our global society and, with the digital world exploding at unprecedented rates, digital information must be captured, leveraged and contained for years to come. And, in many cases, must be preserved indefinitely. Predicting future data storage needs and the technologies to satisfy them may not be as exciting as downloading the latest app or playing a virtual reality game, but it is important to storage and media manufacturers, application developers, and all sizable users of data. Understanding future costs, technologies, and applications is vital to today’s planning and tomorrow’s success.

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