Sisense

JUNE 12, 2019

In addition, providing a world-class analytics platform requires a deep understanding of how to best leverage AI/ML to support the needs of all users from the novice to the most technical. Stay tuned for more blogs by me as we roll these capabilities out!). Some companies went further and defined how they’d monetize this data.

Analytics 75

Analytics Data-driven Dashboards IoT 75

Cloudera

JANUARY 19, 2024

As described in our recent blog post , an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. This blog post aims to help you understand what you can do to get started with generative AI assisted SQL using Hue image version ​​2023.0.16.0

Data Warehouse 72

Data Warehouse Data Processing Optimization Modeling 72

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. This month, let’s explore learning data science. What are some good learning materials available to the public?

Data Science 56

Data Science Machine Learning Visualization Reporting 56

Sisense

AUGUST 16, 2021

Download the guide. Data teams are most focused on cloud data management — where the data is going to live and how they’re going to handle it going forward. Starting or running a business today means one thing: the cloud. That place is the cloud. >>>Want to simplify data preparation? AI can help with that!

Analytics 52

Analytics Data Warehouse Cost-Benefit Visualization 52

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data. How does text mining work?

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

O'Reilly on Data

JULY 25, 2023

So far I’ve read a gazillion blog posts about people’s experiences with these AI coding assistance tools. or “ha look how incompetent it is … it couldn’t even get my simple question right!” This article summarizes what I learned from that experience. Setting the Stage: Who Am I and What Am I Trying to Build?

Consulting 246

Consulting Interactive Software Metadata 246

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Domino Data Lab

FEBRUARY 4, 2019

This month, let’s explore two themes in detail: take an in-depth look at Rev 2 and exploring how curiosity plays a vital, and perhaps non-intuitive, role in data science work. We’ll unpack curiosity as a core attribute of effective data science, look at how that informs process for data science (in contrast to Agile, etc.),

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Cloudera

OCTOBER 22, 2024

In recent years, machine learning operations (MLOps) have become the standard practice for developing, deploying, and managing machine learning models. Low-Code/No-Code as a Core Feature: In MLOps, tools were primarily designed for data scientists, focusing on APIs and integrations with Python or R.

Risk Management 78

Risk Management Machine Learning Risk Optimization 78