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AIOps vs. MLOps: Harnessing big data for “smarter” ITOPs

IBM Journey to AI blog

Data characteristics and preprocessing AIOps tools handle a range of data sources and types, including system logs, performance metrics, network data and application events. The process includes activities such as anomaly detection, event correlation, predictive analytics, automated root cause analysis and natural language processing (NLP).

Big Data 106
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Secrets from Data Governance Leaders: DGIQ West 2023 (June 5 – 9)

Alation

If you’re not familiar with DGIQ, it’s the world’s most comprehensive event dedicated to, you guessed it, data governance and information quality. You can even ues this event to satisfy the continuing education requirements of the CDMP credential. You can learn more about the event and register here.

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Data Integrity Trends for 2024

Precisely

With the proper data integrity tools and programs, organizations can ensure that their users get maximum value from their data assets while avoiding the pitfalls associated with such adverse events. The ultimate goal of a fabric is to bring together structured and unstructured data and make it useful for humans and machines alike.

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How Data Observability Helps to Build Trusted Data

Precisely

Data observability is a key element of data operations (DataOps). Regardless of your industry or role in the business, data has a massive role to play – from operations managers who rely on downstream analytics for important business decisions, to executives who want an overview of how the company is performing for key stakeholders.

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phData Awarded Snowflake 2023 Partner of the Year

phData

” This prestigious award was presented at the 2023 Snowflake Summit event in Las Vegas. Through our work, phData has boasted a 98 percent average renewal rate for phData Elastic Operations, DataOps, and MLOps. I can’t express enough my pride in our team’s accomplishments.”

DataOps 52
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Enterprise Analytics: Key Challenges & Strategies

Alation

It empowers analysts to model scenarios, forecast change, and predict impact of real or imagined events. DataOps. … Enterprise data analytics enables businesses to answer questions like these. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business.

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Is your model good? A deep dive into Amazon SageMaker Canvas advanced metrics

AWS Machine Learning Blog

He designs modern application architectures based on microservices, serverless, APIs, and event-driven patterns. He works with customers to realize their data analytics and machine learning goals through adoption of DataOps and MLOps practices and solutions.

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