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Make Your Models Matter: What It Takes to Maximize Business Value from Your Machine Learning Initiatives

Cloudera

We are excited by the endless possibilities of machine learning (ML). We recognise that experimentation is an important component of any enterprise machine learning practice. Organizations need to usher their ML models out of the lab (i.e., Organizations need to usher their ML models out of the lab (i.e.,

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DataRobot Celebrates a Decade of Innovation with Industry Recognition

DataRobot

This marks a full decade since some of the brightest minds in data science formed DataRobot with a singular vision: to unlock the potential of AI and machine learning for all—for every business, every organization, every industry—everywhere in the world. DataRobot was recognized by Constellation Research on the MLOps Shortlist.

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3 Technical Innovations Ready to Drive Enterprise AI Adoption

IDC

While we’ve discussed the disruptive power that artificial intelligence (AI) applications bring to enterprise organizations, the truth is that AI adoption is still low for these businesses. Automated Machine Learning. Embedded AI.

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Not Getting the Most From Your Model Ops? Why Businesses Struggle With Data Science and Machine Learning

TIBCO - Connected Intelligence

Companies have begun to recognize the value of integrating data science (DS) and machine learning (ML) across their organization to reap the benefits of the advanced analytics they can provide. Why are so few organizations able to follow through with model ops adoption? Reading Time: 2 minutes.

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5 Things a Data Scientist Can Do to Stay Current

With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Fostering collaboration between DevOps and machine learning operations (MLOps) teams.

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3 Ways the Threat Landscape Is Changing

Palo Alto Networks

Our new e-book, Secure From Every Angle, details the latest trends in cybersecurity and how organizations can stay ahead. Malicious actors persistently discover new methods to target and exploit organizations, while defenders continuously innovate to counteract and address these threats. How Can Organizations Stay Ahead?

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What is AIOps?

CircleCI

AIOps is an approach to managing the exponential growth of IT operations and the complexity of new technology through the application of artificial intelligence (AI). AIOps uses machine learning and big data to assist IT operations. Take cloud misconfiguration, for example. Cooperating with AI.

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10 Keys to AI Success in 2021

But it’s not always easy for organizations to do. In our 10 Keys to AI Success in 2021 eBook, we draw from the engaging conversations we’ve had with guests on our More Intelligent Tomorrow podcast series to show how organizations are overcoming hurdles and realizing the enormous rewards that AI can bring to any organization.

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Intelligent Process Automation: Boosting Bots with AI and Machine Learning

But in order to reap the rewards of Intelligent Process Automation, organizations must first educate themselves and prepare for the adoption of IPA. In Data Robot's new ebook, Intelligent Process Automation: Boosting Bots with AI and Machine Learning, we cover important issues related to IPA, including: What is RPA?

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ERP Migration: Why Data Quality Comes First

We are living through a fundamental transformation in the way we work, and the way that organizations function. Automation and machine learning are augmenting human intelligence, tasks, jobs, and changing the systems that organizations need in order not just to compete, but to function effectively and securely in the modern world.