IBM Journey to AI blog

OCTOBER 16, 2023

. “Foundation models make deploying AI significantly more scalable, affordable and efficient.” It’s essential for an enterprise to work with responsible, transparent and explainable AI, which can be challenging to come by in these early days of the technology. ” Are foundation models trustworthy?

Metadata 220

Metadata Explainability Automation Explainable AI 220

ODSC - Open Data Science

FEBRUARY 24, 2023

Metabase GitHub | Website Metabase is an easy-to-use data exploration tool that allows even non-technical users to ask questions and gain insights. This business intelligence and user experience tool allows you to build interactive dashboards, models for cleaning tables, and set up alerts to notify users when your data changes.

Data Analysis 126

Data Analysis Data Science Business Intelligence Python 126

Defined.ai blog

AUGUST 10, 2023

Regular data audits and implementing robust data governance practices can help maintain data quality. Skills Gap Leveraging AI for financial data analysis requires specialized skills. Building a team with AI, data science, and finance expertise is crucial.

Business Intelligence 52

Business Intelligence Data Analysis Neural Network Data Quality 52

Marktechpost

MAY 12, 2024

SEON SEON is an artificial intelligence fraud protection platform that uses real-time digital, social, phone, email, IP, and device data to improve risk judgments. It is based on adjustable and explainable AI technology.

AI Tools 102

AI Tools Neural Network Artificial Intelligence Artificial Intelligence 102

ODSC - Open Data Science

JUNE 1, 2023

Is an AI Coding Assistant Right For You? Whether you’re a seasoned data scientist, engineer, or just getting your feet wet in the data science field, let’s take a look at how coding assistants can help data process regardless of their skill level. Well, these libraries will give you a solid start.

ML 52

ML Data Scientist Big Data Data Science 52

DataRobot Blog

JUNE 23, 2022

When that happens, the data science team needs to move forward with a Phase 2. Modeling these decisions to create a business blueprint of the current decision-making approach is key, as it builds a shared understanding between those who must make changes (business and IT) and those doing the analysis (data science).

Data Science 59

Data Science AI AI ML 59

Pickl AI

DECEMBER 10, 2024

Summary : Data Analytics trends like generative AI, edge computing, and Explainable AI redefine insights and decision-making. Businesses harness these innovations for real-time analytics, operational efficiency, and data democratisation, ensuring competitiveness in 2025.

Explainable AI 52

Explainable AI Explainability ETL Automation 52