KDnuggets

APRIL 19, 2024

The collection includes free courses on Python, SQL, Data Analytics, Business Intelligence, Data Engineering, Machine Learning, Deep Learning, Generative AI, and MLOps.

Data Science 369

Data Science Deep Learning Deep Learning Business Intelligence 369

AWS Machine Learning Blog

OCTOBER 24, 2024

Machine learning (ML) helps organizations to increase revenue, drive business growth, and reduce costs by optimizing core business functions such as supply and demand forecasting, customer churn prediction, credit risk scoring, pricing, predicting late shipments, and many others.

Data Warehouse 112

Data Warehouse Machine Learning Machine Learning Cloud Data 112

Data Science Dojo

FEBRUARY 13, 2025

With rapid advancements in machine learning, generative AI, and big data, 2025 is set to be a landmark year for AI discussions, breakthroughs, and collaborations. Machine Learning & AI Applications Discover the latest advancements in AI-driven automation, natural language processing (NLP), and computer vision.

AI 294

AI AI Big Data Big Data 294

databricks

FEBRUARY 26, 2025

Building an end-to-end AI or ML platform often requires multiple technological layers for storage, analytics, business intelligence (BI) tools, and ML models in order to.

Machine Learning 217

Machine Learning Machine Learning Business Intelligence Business Intelligence 217

KDnuggets

OCTOBER 16, 2019

A guide covering the things you should learn to become a data scientist, including the basics of business intelligence, statistics, programming, and machine learning.

Data Scientist 306

Data Scientist Business Intelligence Business Intelligence Machine Learning 306

Analytics Vidhya

JANUARY 11, 2024

Imagine a world where your data not only compiles and organizes itself but also generates insights with the power of Artificial Intelligence (AI).

Business Intelligence 190

Business Intelligence Business Intelligence Artificial Intelligence Artificial Intelligence 190

Data Science Dojo

MAY 10, 2023

They require strong programming skills, knowledge of statistical analysis, and expertise in machine learning. Machine Learning Engineer Machine learning engineers are responsible for designing and building machine learning systems.

Data Science 368

Data Science Data Scientist Database Administration Machine Learning 368

databricks

OCTOBER 1, 2024

Enterprise AI combines artificial intelligence, machine learning and natural language processing (NLP) capabilities with business intelligence. What is enterprise AI? Organizations use enterprise.

Artificial Intelligence 246

Artificial Intelligence Artificial Intelligence Natural Language Processing Business Intelligence 246

KDnuggets

JUNE 19, 2025

These steps will help you create sophisticated dashboards that provide real business value without touching a single line of Python code. The best part is that your stakeholders can interact with and modify the dashboard themselves, making it a truly collaborative business intelligence tool.

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179

insideBIGDATA

JUNE 5, 2024

In this contributed article, Saurabh Abhyankar, EVP and Chief Product Officer, MicroStrategy, explains the synergy between the two technologies and how they come together to revolutionize how we understand data, make decisions, and envision the future of business.

Business Intelligence 243

Business Intelligence Business Intelligence AI AI 243

Smart Data Collective

NOVEMBER 24, 2020

As the use of intelligence technologies is staggering, knowing the latest trends in business intelligence is a must. The market for business intelligence services is expected to reach $33.5 top 5 key platforms that control the future of business intelligence impacts BI may have on your business in the future.

Business Intelligence 134

Business Intelligence Business Intelligence Power BI Augmented Analytics 134

Dataconomy

JUNE 18, 2025

This hybrid approach facilitates advanced analytics, machine learning, and business intelligence, streamlining data processing and insights generation. This design enhances business intelligence, machine learning, and predictive analytics, allowing organizations to extract insights more rapidly and reliably.

Data Lakes 91

Data Lakes Data Warehouse Business Intelligence Business Intelligence 91

Flipboard

MARCH 8, 2023

Natural language processing (NLP), business intelligence (BI) and analytics have evolved in parallel in recent years. NLP has shown potential to make BI data more accessible. But there is much work ahead to adapt NLP for use in this highly competitive area. Integrated NLP-enabled chatbots have …

Business Intelligence 123

Business Intelligence Business Intelligence Natural Language Processing Analytics 123

Data Science Blog

JULY 23, 2023

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. So while Process Mining can be seen as a subpart of BI while both are using Machine Learning for better analytical results.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

Dataversity

JULY 21, 2022

Despite its many benefits, the emergence of high-performance machine learning systems for augmented analytics over the last 10 years has led to a growing “plug-and-play” analytical culture, where high volumes of opaque data are thrown arbitrarily at an algorithm until it yields useful business intelligence.

Machine Learning 98

Machine Learning Machine Learning Augmented Analytics Business Intelligence 98

Data Science Dojo

AUGUST 24, 2023

By enabling faster development time, better model performance, more reliable deployments, and enhanced efficiency, MLOps is instrumental in unlocking the full potential of harnessing ML for business intelligence and strategy. ZenML is intended to be a highly extensible and adaptable MLOps framework.

Machine Learning 195

Machine Learning Machine Learning ML ML 195

Dataconomy

JUNE 3, 2025

By applying a range of statistical methods, organizations can transform raw data into valuable information, which supports decision-making across various sectors, particularly in Business Intelligence (BI). Differentiation between machine learning and traditional statistics: Examine the contrast in methodologies used in data mining.

Data Mining 91

Data Mining Data Mining Data Mining Business Intelligence 91

Analytics Vidhya

FEBRUARY 20, 2023

Introduction Machine Learning is a fast-growing field, and its applications have become ubiquitous in our day-to-day lives. As the demand for ML models increases, so makes the demand for user-friendly interfaces to interact with these models.

Python 250

Python Machine Learning Machine Learning ML 250

Dataconomy

JUNE 10, 2025

Business intelligence and reporting Through dashboards and reports, data analytics provides actionable insights into performance metrics, allowing for better decision-making. Machine learning Machine learning implements algorithms that automate data analysis processes, enhancing the speed and accuracy of insights.

Analytics 91

Analytics Analytics Big Data Analytics Big Data Analytics 91

Dataconomy

AUGUST 24, 2023

In the modern era of data-driven decision-making, business intelligence projects have become the cornerstone for organizations aiming to harness their data for strategic insights. As technology evolves, so do the business models. So which business intelligence projects can you trust in your next adventure?

Business Intelligence 172

Business Intelligence Business Intelligence Data Analysis Data Analysis 172

Dataconomy

MARCH 21, 2025

This remarkable intersection of AI, machine learning, and linguistics is shaping the future of communication in profound ways. NLP is a pivotal component of artificial intelligence, focusing on the interaction between computers and human language. 1990s: A shift towards statistical methods and machine learning.

Natural Language Processing 103

Natural Language Processing Deep Learning Deep Learning Machine Learning 103

Dataconomy

JUNE 11, 2025

End-users of data catalogs Typical users include data scientists, analysts, data engineers, and business users. Additionally, roles within business intelligence (BI) and data governance teams frequently rely on data catalogs to perform their tasks. AI and machine learning: Automation of metadata processes to enhance efficiency.

Data Governance 91

Data Governance Analytics Analytics Business Intelligence 91

Dataconomy

JUNE 13, 2025

Sompo Asia’s approach to agile data analytics and its impact on business intelligence. Updates on TigerGraph Cloud’s machine learning capabilities and data visualization tools. Steps towards enhancing data visualization literacy in organizations.

Data Visualization 91

Data Visualization Cloud Data Data Lakes Data Warehouse 91

Dataconomy

MAY 10, 2023

Open source business intelligence software is a game-changer in the world of data analysis and decision-making. It has revolutionized the way businesses approach data analytics by providing cost-effective and customizable solutions that are tailored to specific business needs. What is open source business intelligence?

Business Intelligence 178

Business Intelligence Business Intelligence Power BI Data Analysis 178

Analytics Vidhya

OCTOBER 4, 2022

Introduction From the past two decades machine learning, Artificial intelligence and Data Science have completely revolutionized the traditional technologies.

Artificial Intelligence 268

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 268

insideBIGDATA

JULY 10, 2024

In this contributed article, Artyom Keydunov, co-founder and CEO of Cube, believes that although business intelligence (BI) solutions have gone a long way to make more data available to non-technical users, challenges remain.

Analytics 243

Analytics Analytics Business Intelligence Business Intelligence 243

How to Learn Machine Learning

MAY 7, 2025

In the world of AI, you might hear a lot of Machine Learning vs Deep Learning. Introduction to Deep Learning vs Machine Learning To a lot of people, the terms Deep Learning and Machine Learning seem like buzzwords in the AI world. What is Machine Learning?

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Pickl AI

JUNE 8, 2025

Summary: In 2025, data science evolves with trends like augmented analytics, IoT data explosion, advanced machine learning, automation, and explainable AI. These innovations empower businesses to make faster, smarter decisions while ensuring transparency and scalability.

Data Science 52

Data Science Augmented Analytics Machine Learning Machine Learning 52

Dataconomy

JUNE 19, 2025

It greatly impacts business intelligence by enabling organizations to convert data into knowledge that informs strategy and decision-making. Effective data processing ensures that businesses stay competitive in today’s fast-paced environment, underscoring its importance in operational success.

91

91

Flipboard

NOVEMBER 22, 2024

We are excited about the potential productivity gain and acceleration for generative-AI application development with Bedrock Flows.” – Laura Skylaki, VP of Artificial Intelligence, Business Intelligence and Data Platforms at Thomson Reuters. We have successfully leveraged Amazon Bedrock Flows to transform customer experiences.

AWS 163

AWS AI AI Machine Learning 163

Data Science Dojo

FEBRUARY 23, 2024

These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. Power BI Wizard It is a popular business intelligence tool that empowers you to explore data. What is OpenAI’s GPT Store?

Data Science 363

Data Science Data Analysis Data Analysis ML 363

AWS Machine Learning Blog

OCTOBER 16, 2024

Solution overview Intact aimed to develop a cost-effective and efficient call analytics platform for their contact centers by using speech-to-text and machine learning technologies. Machine learning operations (MLOps) Intact also built an automated MLOps pipeline that use Step Functions, Lambda, and Amazon S3.

AWS 86

AWS AI AI Machine Learning 86

Smart Data Collective

JUNE 10, 2022

Machine Learning Engineer. As a machine learning engineer, you would create data funnels and deliver software solutions. As well as designing and building machine learning systems, you could be responsible for running tests and monitoring the functionality and performance of systems. Data Architect.

Data Science 144

Data Science Data Scientist Machine Learning Machine Learning 144

Data Science Dojo

JULY 6, 2023

It integrates well with other Google Cloud services and supports advanced analytics and machine learning features. Spark offers a rich set of libraries for data processing, machine learning, graph processing, and stream processing. Looker: Looker is a business intelligence and data visualization platform.

Data Engineering 195

Data Engineering Data Engineering Data Engineer Data Engineering 195

Dataconomy

JUNE 16, 2025

Machine learning Structured data is crucial in machine learning applications. It provides clear and organized datasets essential for training supervised learning models. Data management SQL databases and tools like Excel frequently utilize structured data for efficient business intelligence and data tracking.

Database 91

Database Data Lakes ETL SQL 91

Pickl AI

JANUARY 15, 2025

Summary: Business Intelligence tools are software applications that help organizations collect, process, analyse, and visualize data from various sources. These tools transform raw data into actionable insights, enabling businesses to make informed decisions, improve operational efficiency, and adapt to market trends effectively.

Business Intelligence 52

Business Intelligence Business Intelligence Power BI Data Visualization 52

Flipboard

MAY 14, 2025

Documents require standard search tools, and structured data needs business intelligence (BI) tools such as Amazon QuickSight. To bridge this gap, Amazon Q Business provides a comprehensive solution that addresses the longstanding challenge of siloed enterprise data. QuickSight also offers querying unstructured data.

AWS 139

AWS AI AI Database 139