Towards AI

OCTOBER 31, 2024

Data analytics has become a key driver of commercial success in recent years. The ability to turn large data sets into actionable insights can mean the difference between a successful campaign and missed opportunities. Flipping the paradigm: Using AI to enhance data quality What if we could change the way we think about data quality?

Data Quality 122

Data Quality Analytics Analytics Clean Data 122

Pickl AI

OCTOBER 18, 2023

How to Scale Your Data Quality Operations with AI and ML: In the fast-paced digital landscape of today, data has become the cornerstone of success for organizations across the globe. Every day, companies generate and collect vast amounts of data, ranging from customer information to market trends.

Data Quality 52

Data Quality ML ML Machine Learning 52

Data Science Connect

JULY 24, 2023

These chatbots use natural language processing (NLP) algorithms to understand user queries and offer relevant solutions. Data Quality and Privacy Concerns: AI models require high-quality data for training and accurate decision-making.

Predictive Analytics 100

Predictive Analytics Data Scientist AI AI 100

Women in Big Data

DECEMBER 13, 2023

The Bay Area Chapter of Women in Big Data (WiBD) hosted its second successful episode on the NLP (Natural Language Processing), Tools, Technologies and Career opportunities. Computational Linguistics is rule based modeling of natural languages. The event was part of the chapter’s technical talk series 2023.

Natural Language Processing 52

Natural Language Processing Big Data Big Data Computer Science 52

Dataconomy

JULY 28, 2023

Data preprocessing is a fundamental and essential step in the field of sentiment analysis, a prominent branch of natural language processing (NLP). Data scientists must decide on appropriate strategies to handle missing values, such as imputation with mean or median values or removing instances with missing data.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Heartbeat

MAY 29, 2023

LLMs are one of the most exciting advancements in natural language processing (NLP). We will explore how to better understand the data that these models are trained on, and how to evaluate and optimize them for real-world use. This process ensures that the dataset is of high quality and suitable for machine learning.

Machine Learning 78

Machine Learning Machine Learning Natural Language Processing Data Preparation 78

Pickl AI

DECEMBER 16, 2024

These tasks include data analysis, supplier selection, contract management, and risk assessment. By leveraging Machine Learning algorithms , Natural Language Processing , and robotic process automation, AI can automate repetitive tasks, analyse vast datasets for insights, and enhance the overall acquisition strategy.

AI 52

AI AI Predictive Analytics Artificial Intelligence 52