Remove Experimentation Remove Forecasting Remove Predictive Modeling
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The key to operational AI: Modern data architecture

CIO Business Intelligence

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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12 data science certifications that will pay off

CIO Business Intelligence

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. You need experience in machine learning and predictive modeling techniques, including their use with big, distributed, and in-memory data sets.

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IT leaders look beyond LLMs for gen AI needs

CIO Business Intelligence

Along with code-generating copilots and text-to-image generators, which leverage a combination of LLMs and diffusion processing, LLMs are at the core of most generative AI experimentation in business today. With this model, patients get results almost 80% faster than before. You’re capturing anomalies.”

IT 131
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The top 15 big data and data analytics certifications

CIO Business Intelligence

SAS Certified Advanced Analytics Professional The SAS Certified Advanced Analytics Professional credential validates the ability to analyze big data with a variety of statistical analysis and predictive modeling techniques.

Big Data 126
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Predictive Analytics Can Guide the Organization to Success

Smarten

Plug n’ Play Predictive Analysis for Accurate Forecasting! One very important capability is Put n’ Play predictive analysis. Assisted Predictive Modeling and predictive analysis tools should include sophisticated functionality in a simple environment that is easy for every business user.

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Healthcare: Why Integrated Care Systems Need to Focus on AI and not BI

DataRobot Blog

Snowflake provides a state-of the-art data platform for collating and analysing workforce data, and with the combined addition of DataRobot Solution Accelerator models, trusts can have predictive models running with little experimentation — further accelerated by the wide range of supportive datasets available through the Snowflake Marketplace.

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Best Practice of Using Data Science Competitions Skills to Improve Business Value

DataRobot Blog

At that time, I thought of a solution from the top team in a Data Science Competitions called Web Traffic Time Series Forecasting. The competition was to predict Wikipedia’s pageview, but it was an analysis problem for very noisy time series data. The R-square, which was less than 0.5 Accuracy before noise removal.