Marktechpost

SEPTEMBER 8, 2023

Microsoft Power BI Microsoft Power BI, a powerful business intelligence platform that lets users filter through data and visualize it for insights, is another top AI tool for data analysis. Users may import data from practically anywhere into the platform and immediately create reports and dashboards.

AI Tools 131

AI Tools Data Science Machine Learning Data Analysis 131

IBM Journey to AI blog

JUNE 29, 2023

This may involve consolidating data from enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, supply chain management systems, and other relevant sources. Implementing advanced analytics and business intelligence tools can further enhance data analysis and decision-making capabilities.

Data Integration 237

Data Integration Business Intelligence ETL Automation 237

Pickl AI

JANUARY 15, 2025

Summary: Business Intelligence tools are software applications that help organizations collect, process, analyse, and visualize data from various sources. Introduction Business Intelligence (BI) tools are essential for organizations looking to harness data effectively and make informed decisions.

Business Intelligence 52

Business Intelligence ETL Data Mining Data Analysis 52

Unite.AI

JUNE 18, 2024

According to one recent study , about 70% of business leaders say that there is a critical skills gap, with data analysis and project management being among the most in-demand hard skills of the modern era. Machine learning algorithms analyze countless resumes in a flash and highlight ideal candidates just as quickly.

Machine Learning 130

Machine Learning Software Engineer Artificial Intelligence Artificial Intelligence 130

IBM Journey to AI blog

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. Organizations can expect to reap the following benefits from implementing OLAP solutions, including the following.

Data Analysis 181

Data Analysis AI AI Automation 181

IBM Journey to AI blog

SEPTEMBER 6, 2023

A recent study by Price Waterhouse Cooper (PwC) estimates that by 2030, artificial intelligence (AI) will generate more than USD 15 trillion for the global economy and boost local economies by as much as 26%. (1) 1) But what about AI’s potential specifically in the field of marketing? What is AI marketing?

Automation 240

Automation Data Scientist Machine Learning Chatbots 240

IBM Journey to AI blog

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 225

Machine Learning Automation AI AI 225

Pickl AI

APRIL 3, 2025

Summary: Data Analysis focuses on extracting meaningful insights from raw data using statistical and analytical methods, while data visualization transforms these insights into visual formats like graphs and charts for better comprehension. Is Data Analysis just about crunching numbers?

Data Analysis 52

Data Analysis Business Intelligence Python Algorithm 52

Pickl AI

JANUARY 28, 2025

Summary: Understanding Business Intelligence Architecture is essential for organizations seeking to harness data effectively. This framework includes components like data sources, integration, storage, analysis, visualization, and information delivery. What is Business Intelligence Architecture?

Business Intelligence 52

Business Intelligence ETL Data Integration Automation 52

AWS Machine Learning Blog

MARCH 18, 2025

LLM-powered data analysis The transcribed interviews and ingested documents are fed into a powerful LLM, which can understand and correlate the information from multiple sources. The LLM can identify key insights, potential issues, and areas of non-compliance by analyzing the content and context of the data.

LLM 104

LLM NLP Data Integration AI 104

ODSC - Open Data Science

FEBRUARY 24, 2023

There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. These tools will help make your initial data exploration process easy.

Data Analysis 126

Data Analysis Data Science Business Intelligence Python 126

Pickl AI

JULY 10, 2024

Summary: Explore a range of top AI and Machine Learning courses that cover fundamental to advanced concepts, offering hands-on projects and industry insights. Introduction Artificial Intelligence (AI) and Machine Learning are revolutionising industries by enabling smarter decision-making and automation.

Machine Learning 52

Machine Learning Neural Network Deep Learning NLP 52

AWS Machine Learning Blog

DECEMBER 29, 2022

You can quickly launch the familiar RStudio IDE and dial up and down the underlying compute resources without interrupting your work, making it easy to build machine learning (ML) and analytics solutions in R at scale. Users can also interact with data with ODBC, JDBC, or the Amazon Redshift Data API. arrange(card_brand).

Machine Learning 122

Machine Learning Natural Language Processing Data Scientist Data Analysis 122

Defined.ai blog

AUGUST 10, 2023

Businesses must understand how to implement AI in their analysis to reap the full benefits of this technology. In the following sections, we will explore how AI shapes the world of financial data analysis and address potential challenges and solutions.

Business Intelligence 52

Business Intelligence Data Analysis Neural Network Data Quality 52

Pickl AI

NOVEMBER 18, 2024

They use data visualisation tools like Tableau and Power BI to create compelling reports. Additionally, familiarity with Machine Learning frameworks and cloud-based platforms like AWS or Azure adds value to their expertise. Programming languages such as Python and R are essential for advanced analytics.

Python 110

Python Data Analysis Machine Learning Data Science 110

Marktechpost

JULY 3, 2023

We will start with the general concept of Artificial Intelligence (AI). We will give details of Artificial Intelligence approaches such as Machine Learning and Deep Learning. Predictive Analytics utilizes various machine learning algorithms to build predictive models that can provide insights into future scenarios.

Deep Learning 122

Deep Learning Machine Learning Neural Network Artificial Intelligence 122

Marktechpost

APRIL 14, 2024

In the dynamic world of data visualization and business intelligence, Tableau and Power BI stand out as leading tools. Both platforms harness the power of AI to provide deep insights and make data-driven decisions more accessible. Data Handling: Handling vast amounts of data without significant performance degradation.

Business Intelligence 101

Business Intelligence Text Analytics AI AI 101

Pickl AI

NOVEMBER 5, 2024

Introduction Business Intelligence (BI) tools are crucial in today’s data-driven decision-making landscape. They empower organisations to unlock valuable insights from complex data. Tableau and Power BI are leading BI tools that help businesses visualise and interpret data effectively. billion in 2023.

Business Intelligence 52

Business Intelligence Data Analysis Data Extraction Big Data 52

Pickl AI

FEBRUARY 23, 2025

Apache Spark Apache Spark is a unified analytics engine for Big Data processing, with built-in modules for streaming, SQL, Machine Learning , and graph processing. Key Features : Speed : Spark processes data in-memory, making it up to 100 times faster than Hadoop MapReduce in certain applications.

Big Data 52

Big Data Machine Learning Business Intelligence Algorithm 52

IBM Journey to AI blog

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.

Data Mining 170

Data Mining Convolutional Neural Networks Categorization Machine Learning 170

Heartbeat

NOVEMBER 20, 2023

Image from istockphoto Blockchain is the brains behind all cryptocurrencies, and machine learning is one of the most in-demand technologies with incredible capabilities. Blockchain technology may be improved and made more effective by combining it with machine learning. What is Machine Learning?

Machine Learning 52

Machine Learning Algorithm ML Deep Learning 52

Unite.AI

DECEMBER 5, 2023

This article will explore data warehousing, its architecture types, key components, benefits, and challenges. What is Data Warehousing? Data warehousing is a data management system to support Business Intelligence (BI) operations. It can handle vast amounts of data and facilitate complex queries.

Metadata 162

Metadata Big Data ETL Data Mining 162

Pickl AI

MARCH 19, 2025

It helps data engineers collect, store, and process streams of records in a fault-tolerant way, making it crucial for building reliable data pipelines. Amazon Redshift Amazon Redshift is a cloud-based data warehouse that enables fast query execution for large datasets.

Big Data 52

Big Data Automation Data Science Python 52

Marktechpost

SEPTEMBER 18, 2024

This model is suited for applications requiring deeper understanding and longer context lengths, including research, data analysis, and technical writing. and its specialized variants marks a significant leap in AI and machine learning capabilities. model, with 1.54 Finally, the Qwen2.5-72B Finally, the Qwen2.5-72B

Large Language Models 111

Large Language Models Machine Learning Software Development Business Intelligence 111

Pickl AI

JANUARY 19, 2025

What is Data Mining? Data mining involves the analytical process of discovering patterns, correlations, and insights from large datasets using statistical techniques and Machine Learning algorithm s. The goal of data mining is to extract valuable information that can inform business strategies and decision-making.

Data Mining 52

Data Mining Algorithm Data Quality Data Scientist 52

AWS Machine Learning Blog

JUNE 25, 2024

To create and share customer feedback analysis without the need to manage underlying infrastructure, Amazon QuickSight provides a straightforward way to build visualizations, perform one-time analysis, and quickly gain business insights from customer feedback, anytime and on any device.

Automation 119

Automation Prompt Engineer Prompt Engineering Categorization 119

AWS Machine Learning Blog

FEBRUARY 25, 2025

Its internal deployment strengthens our leadership in developing data analysis, homologation, and vehicle engineering solutions. DataLab is the unit focused on the development of solutions for generating value from the exploitation of data through artificial intelligence.

Chatbots 70

Chatbots Categorization LLM Algorithm 70

O'Reilly Media

SEPTEMBER 19, 2023

And then there was the other problem: for all the fanfare, Hadoop was really large-scale business intelligence (BI). But the grouping and summarizing just wasn’t exciting enough for the data addicts. They’d grown tired of learning what is; now they wanted to know what’s next.

Algorithm 135

Algorithm Machine Learning Neural Network Data Scientist 135

Becoming Human

JANUARY 23, 2023

- a beginner question Let’s start with the basic thing if I talk about the formal definition of Data Science so it’s like “Data science encompasses preparing data for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis” , is the definition enough explanation of data science?

Data Science 105

Data Science Big Data Data Mining Deep Learning 105

Marktechpost

JULY 17, 2023

Predictive analytics uses methods from data mining, statistics, machine learning, mathematical modeling, and artificial intelligence to make future predictions about unknowable events. It creates forecasts using historical data. For machine learning to identify common patterns, large datasets must be processed.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

Marktechpost

AUGUST 27, 2024

Data analysis helps organizations make informed decisions by turning raw data into actionable insights. With businesses increasingly relying on data-driven strategies, the demand for skilled data analysts is rising. You’ll learn the fundamentals of gathering, cleaning, analyzing, and visualizing data.

Data Analysis 56

Data Analysis Python Data Scientist Big Data 56

ODSC - Open Data Science

FEBRUARY 8, 2023

BigQuery operation principles Business intelligence projects presume collecting information from different sources into one database. Then, an analyst prepares them for reporting (via data visualization tools like Google Data Studio). The BigQuery tool was designed to be the centerpiece of data analysis.

Big Data 97

Big Data Data Mining Data Science Business Intelligence 97

TransOrg Analytics

AUGUST 9, 2024

Data Quality: Without proper governance, data quality can become an issue. Performance: Query performance can be slower compared to optimized data stores. Business Applications: Big Data Analytics : Supporting advanced analytics, machine learning, and artificial intelligence applications.

Machine Learning 52

Machine Learning ETL Big Data Data Analysis 52

Pickl AI

JULY 3, 2023

What is Business Intelligence? Business Intelligence (BI) refers to the technology, techniques, and practises that are used to gather, evaluate, and present information about an organisation in order to assist decision-making and generate effective administrative action. billion in 2015 and reached around $26.50

Business Intelligence 52

Business Intelligence ETL Continuous Learning Data Integration 52

Pickl AI

SEPTEMBER 10, 2024

By integrating AI capabilities, Excel can now automate Data Analysis, generate insights, and even create visualisations with minimal human intervention. AI-powered features in Excel enable users to make data-driven decisions more efficiently, saving time and effort while uncovering valuable insights hidden within large datasets.

Data Analysis 52

Data Analysis Machine Learning Automation AI Tools 52

Viso.ai

NOVEMBER 19, 2023

This includes various products related to different aspects of AI, including but not limited to tools and platforms for deep learning, computer vision, natural language processing, machine learning, cloud computing, and edge AI. Google Cloud AI Platform With Google Cloud AI, you get a set of different machine learning tools.

Computer Vision 97

Computer Vision Machine Learning Natural Language Processing Deep Learning 97

AWS Machine Learning Blog

AUGUST 8, 2024

Across 180 countries, millions of developers and hundreds of thousands of businesses use Twilio to create personalized experiences for their customers. As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads.

Metadata 114

Metadata LLM Prompt Engineer Prompt Engineering 114