Dataconomy

MARCH 21, 2025

Definition and significance of NLP Natural Language Processing is a subset of AI that combines computational linguistics and advanced algorithms to facilitate human-computer interaction. Algorithm development The choice between rule-based and machine learning algorithms is crucial in NLP.

Natural Language Processing 103

Natural Language Processing Deep Learning Deep Learning Machine Learning 103

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

Towards AI

JUNE 19, 2024

Deciding What Algorithm to Use for Earth Observation. Picking the best algorithm is usually tricky or even frustrating. Especially if you do not know what you are looking for, you might utilize an algorithm and get an undesirable outcome, which in turn will take you back to square one. How to determine the right algorithm 1.

Algorithm 81

Algorithm Clustering Support Vector Machines Machine Learning 81

Pickl AI

JANUARY 28, 2025

Summary: Understanding Business Intelligence Architecture is essential for organizations seeking to harness data effectively. By implementing a robust BI architecture, businesses can make informed decisions, optimize operations, and gain a competitive edge in their industries. What is Business Intelligence Architecture?

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

Data Science Dojo

SEPTEMBER 5, 2024

It encompasses both theoretical and practical topics, including data structures, algorithms, hardware, and software. Key Areas of Study Key areas of study within computer science include: Algorithms : Procedures or formulas for solving problems. Business Acumen : To translate data insights into actionable business strategies.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Data Science Dojo

SEPTEMBER 5, 2024

It encompasses both theoretical and practical topics, including data structures, algorithms, hardware, and software. Key Areas of Study Key areas of study within computer science include: Algorithms : Procedures or formulas for solving problems. Business Acumen : To translate data insights into actionable business strategies.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Mlearning.ai

SEPTEMBER 5, 2023

Modern organizations rely heavily on business intelligence (BI) tools to consolidate and analyze data. Manual analysis simply cannot keep pace with the speed of business. The Need for AI-Powered Business Intelligence To gain a competitive edge, organizations need to move beyond consolidated data and manual analysis.

Business Intelligence 52

Business Intelligence Business Intelligence AI AI 52

Flipboard

MARCH 30, 2023

The context: Large language models, or LLMs, are algorithms that power artificial intelligence systems such as OpenAI’s ChatGPT. They can ingest huge amounts of data, learn from those datasets to improve the algorithm, and perform a variety of natural language processing tasks.

Machine Learning 171

Machine Learning Machine Learning Natural Language Processing Algorithm 171

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

Smart Data Collective

JUNE 10, 2022

The interdisciplinary field of data science involves using processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data and then applying the knowledge gained from that data across a wide range of applications. Business Intelligence Developer. Machine Learning Scientist.

Data Science 144

Data Science Data Scientist Machine Learning Machine Learning 144

Ocean Protocol

AUGUST 10, 2023

Ocean Protocol tools are built to extract value from data by improving its algorithmic accessibility & security. Data and algorithms can be bought and sold on Ocean Market with token-gated accessibility to computation. Let’s start automating private business intelligence generation! That’s So Fetch!

Business Intelligence 52

Business Intelligence Business Intelligence Data Lakes Algorithm 52

Dataconomy

MARCH 17, 2025

Through various statistical methods and machine learning algorithms, predictive modeling transforms complex datasets into understandable forecasts. They often play a crucial role in clustering and segmenting data, helping businesses identify trends without prior knowledge of the outcome.

Decision Trees 91

Decision Trees Predictive Analytics Data Preparation Machine Learning 91

Dataconomy

DECEMBER 17, 2024

By harnessing the power of business intelligence, companies can uncover valuable insights into customer behaviors and market trends, enabling more precise and effective decision-making. Unique data applications can revolutionize business operations.

Data Analysis 91

Data Analysis Data Analysis Analytics Analytics 91

AWS Machine Learning Blog

JANUARY 21, 2025

For time-series forecasting use cases, SageMaker Canvas uses autoML to train six algorithms on your historical time-series dataset and combines them using a stacking ensemble method to create an optimal forecasting model. To learn more about the modalities that Amazon SageMaker Canvas supports, visit the Amazon SageMaker Canvas product page.

ML 99

ML ML Algorithm AWS 99

AWS Machine Learning Blog

OCTOBER 24, 2024

The analyst will also be able to quickly create a business intelligence (BI) dashboard using the results from the ML model within minutes of receiving the predictions. Let’s learn about the services we will use to make this happen. Amazon QuickSight powers data-driven organizations with unified (BI) at hyperscale.

Data Warehouse 111

Data Warehouse Machine Learning Machine Learning Cloud Data 111

Dataconomy

MARCH 4, 2025

Data mining refers to the systematic process of analyzing large datasets to uncover hidden patterns and relationships that inform and address business challenges. By utilizing algorithms and statistical models, data mining transforms raw data into actionable insights.

Data Mining 91

Data Mining Data Mining Data Mining Decision Trees 91

Defined.ai blog

AUGUST 10, 2023

AI refers to computer systems capable of executing tasks that typically require human intelligence. On the other hand, ML, a subset of AI, involves algorithms that improve through experience. These algorithms learn from data, making the software more efficient and accurate in predicting outcomes without explicit programming.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analysis Data Analysis 52

Data Science Dojo

JUNE 21, 2023

We’re looking at advanced artificial intelligence (AI) models, predictive analytics, and machine learning algorithms that can dive even deeper into data, delivering unprecedented insights. Looker : It’s a business intelligence tool that delivers detailed insights about customer behaviors and business performance.

Data Analysis 366

Data Analysis Data Analysis Predictive Analytics Analytics 366

ODSC - Open Data Science

FEBRUARY 24, 2023

Algorithm-visualizer GitHub | Website Algorithm Visualizer is an interactive online platform that visualizes algorithms from code. The project was inspired by a group of coders looking to visualize what they’re working on, thus creating a tool that can show algorithms and descriptions of algorithms in real time.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Data Science Dojo

JANUARY 16, 2023

Prescriptive analysis makes use of machine learning algorithms to analyze large amounts of big data for business intelligence. These algorithms are able to asses large amounts of data by working through them via “if” and “else” statements and making recommendations accordingly.

Data Analysis 195

Data Analysis Data Analysis Data Analyst Big Data 195

Towards AI

JANUARY 31, 2025

Explainability leverages user interfaces, charts, business intelligence tools, some explanation metrics, and other methodologies to discover how the algorithms reach their conclusions.

Deep Learning 96

Deep Learning Deep Learning Machine Learning Machine Learning 96

Smart Data Collective

SEPTEMBER 13, 2023

It’s time to dig deeper into the nexus of Big Data, Analytics, and Kitcast Digital Signage , the new frontier of business intelligence that’s transforming our interaction with the commercial environment, one digital billboard at a time.

Big Data 126

Big Data Big Data Analytics Analytics 126

AWS Machine Learning Blog

APRIL 3, 2025

Analytics and business: Automated workflows and business intelligence Insights dont stop at data collectionStep Functions orchestrates workflows that trigger automated actions. Computer vision algorithms analyze the video in real time.

AWS 109

AWS AI AI ML 109

Data Science Dojo

SEPTEMBER 19, 2024

Advanced Coding and Software Development: The o1 models are particularly effective in complex code generation, debugging, and algorithm development. They can analyze complex datasets, generate insights, and even suggest strategic decisions based on data trends, helping businesses make data-driven decisions more efficiently.

Artificial Intelligence 195

Artificial Intelligence Business Intelligence Business Intelligence Artificial Intelligence 195

Dataconomy

JUNE 13, 2023

Decision intelligence is an innovative approach that blends the realms of data analysis, artificial intelligence, and human judgment to empower businesses with actionable insights. Think of decision intelligence as a synergy between the human mind and cutting-edge algorithms. What is decision intelligence?

Power BI 103

Power BI Data Analysis Artificial Intelligence Data Analysis 103

Dataconomy

SEPTEMBER 4, 2023

Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence. It’s particularly valuable for forecasting demand, identifying potential risks, and optimizing processes.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Smart Data Collective

JANUARY 27, 2020

The application of Artificial intelligence and Business Intelligence in affiliate marketing has been actively discussed for quite a time. In AI it refers to computer intelligence, while in BI it is about smart decision-making in business influenced by data analysis and visualization. Business Intelligence.

AI 136

AI AI Business Intelligence Business Intelligence 136

Dataconomy

FEBRUARY 6, 2024

This popularity is primarily due to the spread of big data and advancements in algorithms. Going back from the times when AI was merely associated with futuristic visions to today’s reality, where ML algorithms seamlessly navigate our daily lives. These technologies have undergone a profound evolution. billion by 2032.

ML 121

ML ML Machine Learning Machine Learning 121

Smart Data Collective

OCTOBER 8, 2023

It is an interdisciplinary field, combining computer science, statistics , mathematics, and business intelligence. Data Analysis The cleaned data is then analyzed using various statistical techniques and algorithms. This could arise from biased data, biased algorithms, or biased interpretations of the results.

Analytics 125

Analytics Analytics Data Analysis Data Analysis 125

Data Science Dojo

SEPTEMBER 19, 2024

Advanced Coding and Software Development: The OpenAI o1 models are particularly effective in complex code generation, debugging, and algorithm development. They can analyze complex datasets, generate insights, and even suggest strategic decisions based on data trends, helping businesses make data-driven decisions more efficiently.

Artificial Intelligence 195

Artificial Intelligence Business Intelligence Business Intelligence Artificial Intelligence 195

The Data Administration Newsletter

AUGUST 17, 2021

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time. In a world where big data is becoming more popular and the use of predictive modeling is on the rise, there are steps […].

Data Mining 115

Data Mining Data Mining Data Mining Big Data 115

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These statistical models are growing as a result of the wide swaths of available current data as well as the advent of capable artificial intelligence and machine learning.

Predictive Analytics 139

Predictive Analytics Analytics Analytics Decision Trees 139

Data Science Dojo

SEPTEMBER 19, 2024

Advanced Coding and Software Development: The OpenAI o1 models are particularly effective in complex code generation, debugging, and algorithm development. They can analyze complex datasets, generate insights, and even suggest strategic decisions based on data trends, helping businesses make data-driven decisions more efficiently.

Artificial Intelligence 195

Artificial Intelligence Business Intelligence Business Intelligence Artificial Intelligence 195

Dataconomy

JULY 24, 2023

Concepts such as linear algebra, calculus, probability, and statistical theory are the backbone of many data science algorithms and techniques. Coding skills are essential for tasks such as data cleaning, analysis, visualization, and implementing machine learning algorithms.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Tableau

NOVEMBER 30, 2021

However, improved hardware and machine learning algorithms are demonstrating that data users need tools that both show them things while also enhancing and supporting their learning. Open source software dominates the machine learning (ML) and artificial intelligence (AI) landscape. Not yet ready for machine learning algorithms?

Tableau 102

Tableau Machine Learning Machine Learning Python 102

AWS Machine Learning Blog

FEBRUARY 25, 2025

For the classfier, we employed a classic ML algorithm, k-NN, using the scikit-learn Python module. The following figure illustrates the F1 scores for each class plotted against the number of neighbors (k) used in the k-NN algorithm. The SVM algorithm requires the tuning of several parameters to achieve optimal performance.

Algorithm 74

Algorithm Machine Learning Machine Learning K-nearest Neighbors 74

Dataversity

MAY 19, 2022

In my previous blog post, I described some concrete techniques and surveyed some early approaches to artificial intelligence (AI) and found that they still offer attractive opportunities for improving the user experience. The post What Can Artificial Intelligence Do for Me? Regression Analysis Regression […].

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Business Intelligence Business Intelligence 52