Data Science Dojo

SEPTEMBER 5, 2024

Artificial Intelligence (AI) and Machine Learning : Develop models that can learn from data and make autonomous decisions. Big Data Analysis : Processes and analyzes large datasets to extract meaningful insights. Healthcare : Improves patient outcomes through predictive analytics and personalized medicine.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

IBM Journey to AI blog

SEPTEMBER 11, 2023

How Db2, AI and hybrid cloud work together AI- i nfused intelligence in IBM Db2 v11.5 enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics. Db2 stands ready to embrace new challenges and opportunities within AI in the hybrid cloud data ecosystem.

Database 101

Database SQL Data Warehouse Machine Learning 101

IBM Journey to AI blog

JULY 11, 2023

Data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics that enable faster decision making and insights.

Data Warehouse 60

Data Warehouse Database Cloud Data Big Data 60

IBM Journey to AI blog

JANUARY 12, 2024

The advantages of AI are numerous and impactful, from predictive analytics that refine strategies, to natural language processing that fuels customer interactions and assists users in their daily tasks, to assistive tools that enhance accessibility, communication and independence for people with disabilities.

AI 113

AI AI Natural Language Processing Artificial Intelligence 113

phData

JANUARY 29, 2024

Alteryx’s graphical workflow tool allows users to prepare and analyze data from various sources without requiring extensive coding knowledge. Users can perform a wide range of data operations, such as data cleansing, transformation, blending, modeling, predictive analytics, and spatial analytics.

Database 52

Database Analytics Analytics Clustering 52

AWS Machine Learning Blog

APRIL 12, 2023

The PdMS includes AWS services to securely manage the lifecycle of edge compute devices and BHS assets, cloud data ingestion, storage, machine learning (ML) inference models, and business logic to power proactive equipment maintenance in the cloud.

AWS 103

AWS ML ML Machine Learning 103

IBM Journey to AI blog

JULY 17, 2023

Moreover, watsonx.data simplifies the process of combining new data from various sources with existing mission-critical data residing in on-premises and cloud repositories to power new insights. 1 When comparing published 2023 list prices normalized for VPC hours of watsonx.data to several major cloud data warehouse vendors.

AI 74

AI AI Machine Learning Machine Learning 74

phData

SEPTEMBER 4, 2024

ThoughtSpot is a cloud-based AI-powered analytics platform that uses natural language processing (NLP) or natural language query (NLQ) to quickly query results and generate visualizations without the user needing to know any SQL or table relations. Suppose your business requires more robust capabilities across your technology stack.

Analytics 52

Analytics Analytics SQL ETL 52

Dataversity

FEBRUARY 1, 2022

Digital transformation powered by automation has changed the way organizations around the world operate. It’s sped up product and service delivery. It’s created operational efficiencies throughout the business. But automation has its limits. Traditional automation uses tags and triggers to initiate the next event in a sequence.

Predictive Analytics 52

Predictive Analytics Cloud Data ML ML 52

phData

SEPTEMBER 27, 2024

Here’s how a composable CDP might incorporate the modeling approaches we’ve discussed: Data Storage and Processing : This is your foundation. You might choose a cloud data warehouse like the Snowflake AI Data Cloud or BigQuery. Here’s where it gets really interesting.

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52