Data Management for Artificial Intelligence

May 20, 2019

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

Spotlight

NLP Logix

NLP Logix is an advanced analytics and machine learning data product and services company, which has grown from a vision in 2011 to one of the fastest growing teams of deep learning practitioners. NLP Logix is an experienced team of data scientists who are capable of taking large and disparate data sources and returning actionable and valuable information in a fraction of the time compared to traditional techniques. The company was started by three professionals who worked together at a medical services company developing and applying predictive models and advanced analytics into its workflows. When the founders started NLP Logix, they began competing in international data science contests hosted by Kaggle.com…and started winning. The founders knew that developing algorithms through machine learning was only one piece of the solution, so they began to focus on the practical application of integrating the learned models into a customers’ workflow to deliver the most value at the point

OTHER WHITEPAPERS
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HPE Data Management Framework

whitePaper | December 8, 2022

HPE DMF v7 policies can be configured to migrate and store copies of both new and updated files in the capacity tier at specific intervals or after certain periods of file change inactivity. This effectively implements a high-quality, granular backup of a very large filesystem. DMF will automatically make backup copies of files and metadata on a rolling basis using policy definitions that can be tailored by administrators.

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GBM-Security

whitePaper | November 15, 2019

We are living in an era of digital disruption. Multiple industries are being disrupted, or fear being disrupted in the near future. Business models are evolving to cater to the dynamic markets and digital transformation that seems to be the answer to changing business models. Digital transformation is rapidly becoming a key priority in most industries, as organizations adapt to changing markets by leveraging technologies to build IT-centric business models. In general, organizations are using digital transformation to reach their goals of achieving greater agility, improving operational efficiency, improving customer experiences, and developing new revenue streams.

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The Ugly Truth About Data Management & the Journey to Unleashing the Economic Value of Data

whitePaper | August 22, 2022

The Ugly Truth About Data Management and the Journey to Unleashing the Economic Value of Data explores the often overlooked truth about managing data in the digital era and the shifts in perspective and practice required to unleash the true, economic value of data.

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Introducing Apache Druid

whitePaper | January 31, 2020

Many companies have invested heavily in specialized enterprise data warehouses (EDW) and Extract, Transform and Load (ETL) technologies to analyze their operational data. But these technologies were never designed to be truly real-time.They were originally built for batch, and that original design limits how real-timeEDWs and ETL can become. They were also designed to support a focused group ofanalysts, not a larger group of employees spanning operational functions, or even partner and end customers.

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The Evolution of Data 3.0

whitePaper | October 17, 2022

Today, massive amounts of data are collected, processed, and stored for a range of analytical purposes around the world. Every customer, device, transaction, email, and image leaves a data trail. At present, this data is growing too big, changing too fast, and becoming hyper distributed. The traditional ways of doing integration and analytics are no longer viable or scalable. It is not feasible to create millions of data pipelines and to continue moving large amounts of raw data to a data lake or a centralized data warehouse.

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Data Management with Cloudera Data Platform on Dell Infrastructure

whitePaper | December 14, 2022

This white paper provides overview information for the Dell Technologies Validated Design for Data Management with Cloudera Data Platform (CDP) Private Cloud Base, for deployment on Dell PowerEdge servers, PowerSwitch networking, and PowerScale storage.

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Spotlight

NLP Logix

NLP Logix is an advanced analytics and machine learning data product and services company, which has grown from a vision in 2011 to one of the fastest growing teams of deep learning practitioners. NLP Logix is an experienced team of data scientists who are capable of taking large and disparate data sources and returning actionable and valuable information in a fraction of the time compared to traditional techniques. The company was started by three professionals who worked together at a medical services company developing and applying predictive models and advanced analytics into its workflows. When the founders started NLP Logix, they began competing in international data science contests hosted by Kaggle.com…and started winning. The founders knew that developing algorithms through machine learning was only one piece of the solution, so they began to focus on the practical application of integrating the learned models into a customers’ workflow to deliver the most value at the point

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