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Using AI-Mechanized Hyperautomation for Organizational Decision Making

Unite.AI

RPA Bots Becoming Super Bots: Driving Intelligent Decision Making RPA bots that originally operated on rule-based programs through learning patterns and emulating human behavior for performing repetitive and menial tasks have become super bots, with Conversational AI and Neural Network algorithms coming into force.

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Leveraging user-generated social media content with text-mining examples

IBM Journey to AI blog

Text analysis takes it a step farther by focusing on pattern identification across large datasets, producing more quantitative results. Text representation In this stage, you’ll assign the data numerical values so it can be processed by machine learning (ML) algorithms, which will create a predictive model from the training inputs.

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Top Predictive Analytics Tools/Platforms (2023)

Marktechpost

It relates to employing algorithms to find and examine data patterns to forecast future events. Through practice, machines pick up information or skills (or data). In a word, artificial intelligence is the general term for machine learning and predictive analytics. In this article, some of them are described.

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Why Linguistics for Text Analysis?

Bitext

Recapping, the main limitation of Machine Learning for text analytics is that it is “blind” to text structure. And text structure is essential for moving towards text understanding. This is the first benefit Linguistics provides to data sicentists.

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Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

Predictive Analytics Projects: Predictive analytics involves using historical data to predict future events or outcomes. Techniques like regression analysis, time series forecasting, and machine learning algorithms are used to predict customer behavior, sales trends, equipment failure, and more.

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Data Demystified: What Exactly is Data?- 4 Types of Analytics

Pickl AI

While unstructured data may seem chaotic, advancements in artificial intelligence and machine learning enable us to extract valuable insights from this data type. Big Data Big data refers to vast volumes of information that exceed the processing capabilities of traditional databases.

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Expanding Creativity with Generative AI, Automated Prompt Engineering, OpenAI’s o1-Preview, and 50%…

ODSC - Open Data Science

Streamlining Government Regulatory Responses with Natural Language Processing, GenAI, and Text Analytics Through text analytics, linguistic rules are used to identify and refine how each unique statement aligns with a different aspect of the regulation. How can big data analytics help?