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Humans must be the custodians for preserving high-quality data as AI use continues to advance.
The AI tools introduced at the company’s .conf2023 include the Splunk AI Assistant, Splunk Machine Learning Toolkit 5.4, Splunk App for Anomaly Detection, and the Splunk App for Data Science and Deep Learning 5.1.
Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.
AI pair programming could be a coder's dream or a nightmare in the making. Nine developers talk shop about how they're using generative AI today.
What do ChatGPT and other large language models owe to the human creators who provide the information they train on? What if creators stop making their insights publicly available?
Partnerships can accelerate technological innovation in agile, devops, and data science. Just make sure you start with a strong foundation in place.
Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases.
Google Cloud Dataplex is an amazingly complete system for turning raw data from silos into unified data products ready for analysis. And a bit overwhelming to learn.
Data debt can be just as bad as tech debt, causing security and trust problems if it isn’t addressed throughout the data pipeline.
AI systems are not yet mature and capable enough to operate independently, but they can still work wonders with human help. We just need a few guardrails.