IBM Journey to AI blog
NOVEMBER 24, 2023
Many enterprises are realizing that moving to cloud is not giving them the desired value nor agility/speed beyond basic platform-level automation. Generative AI-based Solution Approach : The Mule API to Java Spring boot modernization was significantly automated via a Generative AI-based accelerator we built.
Unite.AI
APRIL 23, 2024
At Aiimi, we believe that AI should give users more, not less, control over their data. AI should be a driver of data quality and brand-new insights that genuinely help businesses make their most important decisions with confidence.
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Towards AI
SEPTEMBER 27, 2023
This blog post will focus on key questions related to Experiments, Model Training, and evaluation and explore how AWS SageMaker can help address them. ▢ [Automation] How can data scientists automatically partition the data for training, validation, and testing purposes?▢ Source: Image by the author. Source: Image by the author.
AWS Machine Learning Blog
MAY 3, 2023
Each business problem is different, each dataset is different, data volumes vary wildly from client to client, and data quality and often cardinality of a certain column (in the case of structured data) might play a significant role in the complexity of the feature engineering process.
Viso.ai
DECEMBER 18, 2023
Generation With Neural Network Techniques Neural Networks are the most advanced techniques of automated data generation. They can handle much richer data distributions than traditional algorithms, such as decision trees. Neural networks can also synthesize unstructured data like images and video. Technique No.1:
Chatbots Life
MAY 19, 2023
Automation rules today’s world. A chatbot is a technological genie that uses intelligent automation, ML, and NLP to automate tasks. It adds a digital flavor by automating your day-to-day IT tasks to help businesses work smarter. Modern service desks offer an automated ticketing system for staff.
AWS Machine Learning Blog
JUNE 23, 2023
Amazon SageMaker Data Wrangler is a single visual interface that reduces the time required to prepare data and perform feature engineering from weeks to minutes with the ability to select and clean data, create features, and automate data preparation in machine learning (ML) workflows without writing any code.
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