IBM Journey to AI blog

JULY 17, 2023

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. These models have been trained on IBM curated datasets that have been mined to remove hateful, abusing and profane text (HAP).

Machine Learning 186

Machine Learning Metadata Automation AI 186

Unite.AI

FEBRUARY 19, 2024

Contemporary businesses must transform decision dynamics by adopting automation-enabled workflows and prioritizing AI-mechanized hyperautomation at the top of digital transformation. Simply put, it is a superior iteration of intelligent automation. So why is this recently expounded phenomenon surprising industries?

Neural Network 179

Neural Network Natural Language Processing Automation Robotics 179

ODSC - Open Data Science

SEPTEMBER 19, 2024

The Rise of Deepfakes and Automated Prompt Engineering: Navigating the Future of AI In this podcast recap with Dr. Julie Wall of the University of West London, we discuss two big topics in generative AI: deepfakes and automated prompted engineering. How can big data analytics help?

Prompt Engineer 40

Prompt Engineer Prompt Engineering AI Automation Automation 40

LevelAI

FEBRUARY 5, 2024

Automating the QA process is a solution that can address these shortcomings, but there are many pitfalls to avoid when automation contact center QA. Not all QA automation tools are made equal and vary wildly in scope and quality. Let’s delve into the potential pitfalls to avoid when automating call center QA.

Automation 52

Automation Text Analytics Natural Language Processing Generative AI 52

Ehud Reiter

APRIL 22, 2024

I see a lot of claims that generative AI is super-fantastic and will “change everything”; I also see claims that generative AI is either useless or disastrous. Also impact will take time. It basically surveys how 292 journalists and other news professionals are using LLMs and the challenges they face.

Generative AI 126

Generative AI Prompt Engineer Prompt Engineering LLM 126

AWS Machine Learning Blog

DECEMBER 13, 2024

Amazon SageMaker Pipelines includes features that allow you to streamline and automate machine learning (ML) workflows. This helps with data preparation and feature engineering tasks and model training and deployment automation. Prior to working as an AS, Bikram worked as a Software Development Engineer within SIADS and Alexa AI.

ML 78

ML Algorithm Automation Python 78

ODSC - Open Data Science

MAY 24, 2023

To save time for our financial advisors, our team decided to experiment with generative natural language processing (NLP) models to assist them in their daily conversations with clients. These models would allow us to automate simple and repetitive tasks, freeing up our agents to focus on more complex and valuable interactions with customers.

NLP 52

NLP Neural Network Natural Language Processing Data Science 52