Remove Artificial Inteligence Remove Business Analytics Remove Machine Learning
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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Recognizing the interest in ML, the Strata Data Conference program is designed to help companies adopt ML across large sections of their existing operations. Recognizing the interest in ML, we assembled a program to help companies adopt ML across large sections of their existing operations. Machine Learning in the enterprise".

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Decision intelligence: The new BI

CIO

Business intelligence (BI) platforms are evolving. By adding artificial intelligence and machine learning, companies are transforming data dashboards and business analytics into more comprehensive decision support platforms.

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7 famous analytics and AI disasters

CIO

According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year. And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment.

Analytics 218
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What is data analytics? Analyzing and managing data for decisions

CIO

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics methods and techniques.

Analytics 203
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Where to Learn Deep Learning – Courses, Tutorials, Software

CTOvision

It examines one of the hottest of Machine Learning techniques, Deep Learning, and provides a list of free resources for leanring and using Deep Learning-bg. Deep Learning is a very hot area of Machine Learning Research, with many remarkable recent successes, such as 97.5%

Course 103
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Few-shot prompt engineering and fine-tuning for LLMs in Amazon Bedrock

AWS Machine Learning - AI

On the other hand, generative artificial intelligence (AI) models can learn these templates and produce coherent scripts when fed with quarterly financial data. The initial draft of a large language model (LLM) generated earnings call script can be then refined and customized using feedback from the company’s executives.

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Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

AWS Machine Learning - AI

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications.