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

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OTHER WHITEPAPERS
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Best practices – using Incorta to modernize your Oracle BI environment

whitePaper | March 29, 2023

Migrating to a new analytics environment can be a complex, timeconsuming and resource-intensive undertaking. Significant investments have been sunk into existing analytic environments, and migrating to a new platform can involve months of effort. When organizations go to this level of effort and expense, ideally, they should achieve more than simply migrating the existing environment. A migration provides an excellent opportunity to look to the future, rethink the environment, and deliver new capabilities to the business that can improve efficiency and serve as a source of competitive advantage.

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Building a High-Performance Data Organization

whitePaper | May 6, 2022

Every organization today recognizes the strategic value of generating actionable insights from their enterprise data.

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Bridging the Data Talent Gap: How Enterprises are Reimagining the AI, Data and Analytics Workforce

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Building a data fabric for analytics with Tableau

whitePaper | September 6, 2022

Data is the heartbeat of the modern enterprise. Technology has progressed to the point that data-driven decision making is the norm and data literacy is often prized above all other skills.

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Forecasting the future of genomic data management

whitePaper | May 15, 2023

Genomics is the study of the complete set of DNA in a person or other organism. DNA underpins a large proportion of an individual's health and disease status, therefore a genomic medicine approach is increasingly being applied in clinical settings. Genomic medicine is where the study of clinical outcomes (measurable changes in health and well-being) is combined with genomics so researchers can better understand how a person’s genome contributes to disease. Increasingly, advances in our understanding of the genome are contributing to improvements in disease diagnosis, drug discovery and targeted therapeutics.

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DataOS®: A Paradigm Shift in Data Management – Creating Scalable Analytics

whitePaper | October 10, 2022

Companies undergoing digital transformation must make data available to all stakeholders. However, outdated security and governance tools can prevent companies from freeing their data without opening themselves up to new risks.

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Tonic.ai

Mimic your production data to create de-identified, realistic, and safe data for your test environments.

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