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

MARCH 3, 2025

Summary: Business Intelligence Analysts transform raw data into actionable insights. They use tools and techniques to analyse data, create reports, and support strategic decisions. Key skills include SQL, data visualization, and business acumen. Introduction We are living in an era defined by data.

Business Intelligence 52

Business Intelligence Data Analysis Data Quality Continuous Learning 52

Towards AI

JANUARY 27, 2023

In the increasingly competitive world, understanding the data and taking quicker actions based on that help create differentiation for the organization to stay ahead! It is used to discover trends [2], patterns, relationships, and anomalies in data, and can help inform the development of more complex models [3].

Data Analysis 98

Data Analysis Data Science Software Engineer Business Intelligence 98

How to Learn Machine Learning

JUNE 24, 2024

You can use custom business intelligence (BI) dashboards. These offer a tailored approach to data analysis. They are exceptional data visualization solutions. These businesses need to understand how to use them to improve data analysis. Expect a different scenario when viewing raw data.

Business Intelligence 40

Business Intelligence Data Analysis Machine Learning Automation 40

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?

Automation 240

Automation Data Scientist Machine Learning Chatbots 240

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 125

Automation Prompt Engineering Prompt Engineer Categorization 125

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

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

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.

Data Science 236

Data Science Data Scientist Machine Learning Data Mining 236

IBM Journey to AI blog

OCTOBER 20, 2023

AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages.

Machine Learning 225

Machine Learning Automation AI AI 225

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

Unite.AI

MAY 1, 2024

Amazon Q: The Generative AI Assistant One of the most exciting announcements from Amazon at the same time is the launch of Amazon Q, a generative AI assistant designed to empower businesses and developers. Amazon Q Developer, now generally available, is a game-changer for software development teams.

Generative AI 162

Generative AI Software Development Business Intelligence Data Analysis 162

Unite.AI

JULY 12, 2024

The platform supports advanced AI models (Google Gemini, Anthropic Claude, and OpenAI ChatGPT) tailored to your business. Using this technology, Echobase lets businesses automate a wide range of tasks , meaning less time spent on monotonous obligations and more time making important decisions based on solid data.

Data Analysis 130

Data Analysis AI AI Automation 130

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. When it comes to financial data, AI shines brightly.

Business Intelligence 52

Business Intelligence Data Analysis Neural Network Data Quality 52

ODSC - Open Data Science

FEBRUARY 13, 2025

Using a step-by-step approach, he demonstrated how to integrate AI models with structured databases, enabling automated insights generation, query execution, and data visualization. Attendees left with a clear understanding of how AI can enhance data analysis workflows and improve decision-making in business intelligence applications.

Large Language Models 52

Large Language Models AI AI Automation 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. Data analysis. The technology itself is simply evolving faster than humans can master it. Cybersecurity.

Machine Learning 130

Machine Learning Software Engineer Artificial Intelligence Artificial Intelligence 130

IBM Journey to AI blog

AUGUST 28, 2023

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes.

Data Mining 170

Data Mining Convolutional Neural Networks Categorization Machine Learning 170

ODSC - Open Data Science

FEBRUARY 12, 2024

You must be able to analyze data faster, more accurately, and within context. Augmented analytics — which automates more of the analytics journey through AI — can address conventional obstacles to make it easier to turn data into relevant, accurate and actionable insights. Here’s how to execute it effectively.

Data Science 98

Data Science Automation Explainability Data Scientist 98

Marktechpost

SEPTEMBER 18, 2024

These models are designed to excel in programming tasks and are expected to be powerful tools for software development, automated code generation, and other related activities. This model is suited for applications requiring deeper understanding and longer context lengths, including research, data analysis, and technical writing.

Large Language Models 111

Large Language Models Machine Learning Software Development Business Intelligence 111

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 Automation Machine Learning AI Tools 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

NOVEMBER 18, 2024

Summary: Power BI alternatives like Tableau, Qlik Sense, and Zoho Analytics provide businesses with tailored Data Analysis and Visualisation solutions. Selecting the right alternative ensures efficient data-driven decision-making and aligns with your organisation’s goals and budget. billion to USD 54.27 What is Power BI?

Data Analysis 52

Data Analysis Business Intelligence Big Data Artificial Intelligence 52

Pickl AI

SEPTEMBER 5, 2024

Summary: Operations Analysts play a crucial role in enhancing organisational efficiency by analysing processes, implementing improvements, and leveraging data-driven insights. In 2024, they face emerging trends such as automation and agile methodologies, requiring a diverse skill set. What Tools Do Operations Analysts Commonly Use?

Data Analysis 52

Data Analysis Data Quality Automation Solutions Analyst 52

Pickl AI

OCTOBER 10, 2024

Summary: Data transformation tools streamline data processing by automating the conversion of raw data into usable formats. These tools enhance efficiency, improve data quality, and support Advanced Analytics like Machine Learning. These tools automate the process, making it faster and more accurate.

ETL 52

ETL Data Quality Business Intelligence Machine Learning 52

Marktechpost

JUNE 5, 2024

Analytics, management, and business intelligence (BI) procedures, such as data cleansing, transformation, and decision-making, rely on data profiling. Content and quality reviews are becoming more important as data sets grow in size and variety of sources. It has a quick and clear grasp of data quality issues.

Data Quality 110

Data Quality Metadata Data Integration ETL 110

Marktechpost

JULY 17, 2023

Data gathering, pre-processing, modeling, and deployment are all steps in the iterative process of predictive analytics that results in output. We can automate the procedure to deliver forecasts based on new data continuously fed throughout time.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

Marktechpost

JULY 3, 2023

Artificial Intelligence systems can process and analyze vast amounts of data, identify patterns, and generate insights that drive decision-making and automation. The preparatory expert phase can be flexibly managed by internal or external resources with data science expertise , such as the Neural Concept team.

Deep Learning 122

Deep Learning Machine Learning Neural Network Artificial Intelligence 122

Pickl AI

JANUARY 9, 2025

Summary: Operations Analyst job in 2025 are integral to improving efficiency, data analysis, and process optimisation. Their roles now include using advanced technologies like AI and automation. With career growth opportunities and a focus on data-driven decisions, this job remains central to organisational success.

Automation 52

Automation Machine Learning Data Analysis Artificial Intelligence 52

Viso.ai

NOVEMBER 19, 2023

Many businesses are exploring and investing in AI solutions to stay competitive and enhance their business processes. This is because AI has the ability to automate tasks and processes that would otherwise not be possible or carried out by humans. The tool can be integrated with other business intelligence software.

Computer Vision 97

Computer Vision Machine Learning Natural Language Processing Deep Learning 97

ODSC - Open Data Science

JUNE 2, 2023

Augmented Analytics — Where Do You Fit in at the Intersection of Analytics and Business Intelligence? Data visualization is a critical way for anyone to turn endless rows of data into easy-to-understand results through dynamic and understandable visuals. Win-win, right?

Business Intelligence 52

Business Intelligence Data Science Composite AI Automation 52

Pickl AI

JANUARY 16, 2024

Summary: The blog delves into the 2024 Data Analyst career landscape, focusing on critical skills like Data Visualisation and statistical analysis. It identifies emerging roles, such as AI Ethicist and Healthcare Data Analyst, reflecting the diverse applications of Data Analysis.

Data Analysis 52

Data Analysis Data Scientist Data Science Machine Learning 52

Pickl AI

FEBRUARY 4, 2025

Choosing the proper library improves data exploration, presentation, and industry decision-making. Introduction Data visualisation plays a crucial role in Data Analysis by transforming complex datasets into insightful, easy-to-understand visuals. It helps uncover patterns, trends, and correlations that might go unnoticed.

Python 52

Python Data Analysis Data Science Data Scientist 52

Pickl AI

JANUARY 22, 2025

Programming languages enable developers to create software applications, automate processes, and control hardware. Software Development They are essential for developing software applications across various domains, including web development, mobile app development, game development, and Data Analysis.

Python 52

Python Data Science Software Development Automation 52

Pickl AI

FEBRUARY 19, 2025

Key Takeaways Data Science uses AI and Machine Learning for predictive modelling and automation. Data Analytics focuses on trend analysis and optimising business decisions. Data Science requires programming, while Data Analytics relies on statistical tools.

Data Science 52

Data Science Machine Learning Data Scientist Algorithm 52

ODSC - Open Data Science

JULY 21, 2023

Everything from automation, data analysis/forecasting, resource management, and more can benefit from a bit of AI. Data Analysis & Forecasting Believe it or not, as a project manager, you’re being bombarded with a constantly growing stream of data. Let’s touch on automation first.

Automation 52

Automation Data Science AI AI 52

Pickl AI

OCTOBER 22, 2024

It enables fast, efficient full-text search, real-time Data Analysis , and scalable data retrieval across large datasets. Known for its speed and flexibility, Elasticsearch is widely used in applications where quick access to data is critical, such as e-commerce search, log analysis, and Business Intelligence.

Data Analysis 52

Data Analysis Data Ingestion Business Intelligence Automation 52

DataRobot Blog

SEPTEMBER 6, 2022

At the 2022 Gartner Data and Analytics Summit, data leaders learned the latest insights and trends. Here are five key takeaways from one of the biggest data conferences of the year. Data Analysis Must Include Business Value. Transparency Is Key In MLOps. Interoperability Extends the Impact of AI.

Data Scientist 52

Data Scientist Data Drift Machine Learning Data Science 52