IBM Journey to AI blog

OCTOBER 14, 2024

“ Gen AI has elevated the importance of unstructured data, namely documents, for RAG as well as LLM fine-tuning and traditional analytics for machine learning, business intelligence and data engineering,” says Edward Calvesbert, Vice President of Product Management at IBM watsonx and one of IBM’s resident data experts.

Business Intelligence 195

Business Intelligence AI AI Machine Learning 195

IBM Journey to AI blog

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

Data Science 236

Data Science Data Scientist Machine Learning Data Mining 236

Pickl AI

FEBRUARY 23, 2025

Key Features : Speed : Spark processes data in-memory, making it up to 100 times faster than Hadoop MapReduce in certain applications. Ease of Use : Supports multiple programming languages including Python, Java, and Scala. Key Features : Cost Efficiency : Pay only for the resources you use.

Big Data 52

Big Data Machine Learning Business Intelligence Algorithm 52

John Snow Labs

FEBRUARY 12, 2025

It provides a suite of tools for data engineering, data science, business intelligence, and analytics. Once the libraries are installed, proceed by importing the essential Python and Spark libraries into your notebook. In this section, we cover how-to run successfully John Snow Labs LLMs on Azure Fabric.

Large Language Models 52

Large Language Models NLP Natural Language Processing LLM 52

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. AMC Networks is excited by the opportunity to capitalize on the value of all of their data to improve viewer experiences.

Machine Learning 186

Machine Learning Metadata Automation AI 186

Pickl AI

JUNE 12, 2023

How Professionals Can Use Tableau for Data Science? Tableau is a powerful data visualization and business intelligence tool that can be effectively used by professionals in the field of data science. Professionals can connect to various data sources, including databases, spreadsheets, and big data platforms.

Data Science 52

Data Science Data Scientist Data Analysis Machine Learning 52

Pickl AI

APRIL 26, 2024

A data warehouse is a centralised repository that consolidates data from various sources for reporting and analysis. It is essential to provide a unified data view and enable business intelligence and analytics. Describe a situation where you had to think creatively to solve a data-related challenge.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52