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Modern Data Analytics in the Cloud: Achieving an End-to-End Strategy

TDWI

Businesses today need fast, scalable, and agile data and analytics, and cloud-based solutions are proving critical to satisfying these requirements. They enable organizations to rapidly and easily spin up systems and services for collecting, managing, and analyzing data. More important, cloud-based solutions deliver value from “data gravity”the surging volumes of new data created in the cloud by social media, the IoT, multichannel customer behavior, and other activity.
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Spotlight

Data Management for Artificial Intelligence

Artificial intelligence is the science of training systems to emulate human tasks through learning and automation. With AI, machines can learn from experience, adjust to new inputs and accomplish tasks without manual intervention. The explosion in market hype around the term is closely tied to advances in deep learning and cognitive science, but AI spans a variety of algorithms and methods. It doesn’t require the flashiest new technologies to still be considered an AI application. As a topic of interest for years – from science fiction plots to futurists’ prophecies – the promise of AI has always been at the forefront of our minds. But what was once a distant vision is becoming reality as organizations embrace the value of AI now

OTHER ON-DEMAND WEBINARS

Top Trends in Modern Data Architecture for 2019

Percona

From AI and machine learning to data discovery and real-time analytics, a strong data architecture strategy is critical to supporting your organization's data-driven goals. Greater speed, flexibility, and scalability are common wish-list items, alongside smarter data governance and security capabilities. Many new technologies and approaches have come to the forefront of data architecture discussions, including data lakes, in-memory databases and engines like Spark and cloud services of all shapes and sizes.
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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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Big Data as a Gateway to Knowledge Management

dataversity.net

Knowledge management may be making a comeback the term we heard about in the early noughts, a formal system that helps manage what an organization knows. Developments in artificial intelligence and database technology have brought the promises of knowledge management back into the forefront.
Watch Now

Modern Data Analytics in Telecom

No industry relies more on data analytics for innovation than telecommunications. From increases in data volumes, the rise of 5G, and more and more connected devices, only the organizations that invest in a modern data infrastructure will be prepared to integrate, process, and analyze the mountains of new data. What are you doing today to get ready?
Watch Now

Top Trends in Modern Data Architecture for 2019

Percona

From AI and machine learning to data discovery and real-time analytics, a strong data architecture strategy is critical to supporting your organization's data-driven goals. Greater speed, flexibility, and scalability are common wish-list items, alongside smarter data governance and security capabilities. Many new technologies and approaches have come to the forefront of data architecture discussions, including data lakes, in-memory databases and engines like Spark and cloud services of all shapes and sizes.
Watch Now

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.
Watch Now

Big Data as a Gateway to Knowledge Management

dataversity.net

Knowledge management may be making a comeback the term we heard about in the early noughts, a formal system that helps manage what an organization knows. Developments in artificial intelligence and database technology have brought the promises of knowledge management back into the forefront.
Watch Now

Modern Data Analytics in Telecom

No industry relies more on data analytics for innovation than telecommunications. From increases in data volumes, the rise of 5G, and more and more connected devices, only the organizations that invest in a modern data infrastructure will be prepared to integrate, process, and analyze the mountains of new data. What are you doing today to get ready?
Watch Now
More On-Demand Webinars

Spotlight

Data Management for Artificial Intelligence

Artificial intelligence is the science of training systems to emulate human tasks through learning and automation. With AI, machines can learn from experience, adjust to new inputs and accomplish tasks without manual intervention. The explosion in market hype around the term is closely tied to advances in deep learning and cognitive science, but AI spans a variety of algorithms and methods. It doesn’t require the flashiest new technologies to still be considered an AI application. As a topic of interest for years – from science fiction plots to futurists’ prophecies – the promise of AI has always been at the forefront of our minds. But what was once a distant vision is becoming reality as organizations embrace the value of AI now

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6 Steps to Securing Enterprise Data

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Reimagining Data Governance

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The ROI of a Modern Privacy Program

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