How to use custom holidays for time-series forecasting in BigQuery ML
With custom holiday modeling features, BigQuery users can build more powerful and accurate time-series forecasting models using BigQuery ML.
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Applied Machine Learning Prototypes | The Future of Machine Learning
Applied Machine Learning Prototypes or AMPs, are pre-built applications that can be used as a starting point for your next machine learning project. These prototypes are designed to save time and resources by providing a tested and reliable solution to common machine learning problems. Cloudera + Dell + AMD.
Machine Learning Services for Augmented Analytics
Video 4 demonstrates how integrated machine learning services support a full range of advanced analysis types in Qlik Sense, and previews an exciting new capability that's on the way - key driver analysis.
How Generative AI Will Impact the Pharmaceutical Industry
By Noam Harel In the ever-changing landscape of the pharmaceutical industry, the integration of generative artificial intelligence (AI) holds immense promise and potential alongside risk, patient and consumer safety and tight regulation. Generative AI refers to the ability of machines to autonomously create new and unique content, ideas, or solutions.
Mind the Gap: Bridging the Business Unit AI Innovation Gap
By Noam Harel In the fast-paced and ever-evolving business landscape, innovation has become the lifeblood of success. Yet, many organizations fail to harness the full potential of innovation due to a significant gap between their business units. This gap, like a hidden chasm, prevents the sharing of best practices, stifling growth and hindering progress.
Machine Learning Operations (MLOps) Practices in WSO2 Choreo
MLOps also known as Machine Learning Operations is a core function of Machine Learning engineering, focused on streamlining the process of taking machine learning models to production, and then maintaining and monitoring them. MLOps is a collaborative function, often comprising data scientists, devops engineers, and IT. In this video, you can learn about the basics of MLOps and its applications in Choreo.
The Role of AI and Machine Learning in Product Analytics
In our data-driven world, the landscape of product analytics is rapidly evolving. With the rise of Artificial Intelligence (AI) and Machine Learning (ML), we're seeing a seismic shift in how businesses approach product development and enhancement. But how does AI and ML fit into product analytics, particularly for non-technical business leaders and marketers? And more importantly, what does this mean for the future?
From descriptive to predictive: Your first machine learning model
An overview of common low-hanging fruits to help you get started with machine learning.
Key Takeaways on Generative AI for CEOs: Revolutionizing Business with Speed and Trust
Generative AI stands out from other technological breakthroughs due to its remarkable velocity and unprecedented speed. In a matter of mere months since its initial emergence in the limelight, this cutting-edge innovation has already achieved scalability, aiming to attain substantial return on investment. However, it is imperative to effectively harness this formidable technology, ensuring that it can deploy on a large scale and yield outcomes that garner trust from your business stakeholders.
What is Enterprise Generative AI and Why Should You Care?
It seems like we are witnessing a new quantum leap of technological advancement, with Generative AI taking the world by storm earlier this year. Generative AI (GenAI) has emerged as a powerful tool that combines artificial intelligence with creativity, empowering machines to generate original content, such as images, music, and even text, that imitates human-like creativity from structured and unstructured data.