Dataconomy

MAY 26, 2025

Big data management encompasses the intricate processes and technologies that organizations employ to handle vast amounts of data. As businesses increasingly rely on data to drive strategies and decisions, effective management of this information becomes essential for achieving competitive advantage and insights.

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Big Data Big Data Apache Hadoop Data Quality 91

Precisely

JANUARY 9, 2025

Artificial Intelligence (AI) is all the rage, and rightly so. By now most of us have experienced how Gen AI and the LLMs (large language models) that fuel it are primed to transform the way we create, research, collaborate, engage, and much more. Can AIs responses be trusted? Can it do it without bias?

Data Warehouse 119

Data Warehouse Hadoop Data Lakes Data Governance 119

Smart Data Collective

SEPTEMBER 19, 2022

Big data has led to many important breakthroughs in the Fintech sector. Positive customer experience sits atop the most valuable things critical to the longevity of any business. And Big Data is one such excellent opportunity ! The Role Of Big Data In Fintech. Forecasting Future Market Trends.

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Big Data Big Data Big Data Analytics Big Data Analytics 145

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

Smart Data Collective

JUNE 6, 2025

Reading: The Power of AI for Personalization in Email Share Notification Font Resizer Aa Font Resizer Aa Search About Help Privacy Follow US © 2008-23 SmartData Collective. Alex Blackwell 8 Min Read AI-Generated Image from Google Labs SHARE AI helps marketers send emails that feel personal without writing each one by hand.

Artificial Intelligence 82

Artificial Intelligence Artificial Intelligence AI AI 82

Smart Data Collective

OCTOBER 15, 2021

Big data technology has been a highly valuable asset for many companies around the world. Countless companies are utilizing big data to improve many aspects of their business. Some of the best applications of data analytics and AI technology has been in the field of marketing. Be a Social Butterfly.

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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

Smart Data Collective

AUGUST 21, 2019

Big data is changing the future of organizational decision making. Belkacem Athamena, a professor at Al Ain University of Science and Technology wrote a white paper on the evolution of big data in decision making. Global Executives Create Highly Sophisticated Big Data Decision Making Models.

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Big Data Big Data Business Intelligence Business Intelligence 104

insideBIGDATA

OCTOBER 4, 2024

MicroStrategy® Incorporated (Nasdaq: MSTR), a pioneer in AI-powered business intelligence, announced the latest release of MicroStrategy ONE, the fully cloud-native AI/BI platform that’s trusted by the world’s leading brands to solve their toughest data challenges.

Business Intelligence 195

Business Intelligence Business Intelligence AI AI 195

Pickl AI

FEBRUARY 23, 2025

Summary: Big Data tools empower organizations to analyze vast datasets, leading to improved decision-making and operational efficiency. Ultimately, leveraging Big Data analytics provides a competitive advantage and drives innovation across various industries.

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52

Smart Data Collective

JULY 9, 2019

Currently, companies can review thousands of data points on individual customers for enhanced comprehension of their best customers. One example is the use of big data to differentiate millennial buying habits from older customers. Otherwise, your business may be sacrificing new opportunities. Leverage Your Big Data.

Big Data 111

Big Data Big Data Analytics Analytics 111

Smart Data Collective

DECEMBER 11, 2019

In 2013, Wired published a very interesting article about the role of big data in the field of integrated business systems. Author James Kobielus, the lead AI and data analyst for Wikibon and former IBM expert, said that there are a number of ways that integrated business systems are tapping the potential of AI and big data.

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Smart Data Collective

JUNE 11, 2025

Reading: Monitoring Data Without Turning into Big Brother Share Notification Font Resizer Aa Font Resizer Aa Search About Help Privacy Follow US © 2008-23 SmartData Collective. Alex Blackwell 10 Min Read AI-Generated Image from Google Labs SHARE Data monitoring is no longer optional for large-scale digital systems.

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Smart Data Collective

APRIL 8, 2020

The data collected in the system may in the form of unstructured, semi-structured, or structured data. This data is then processed, transformed, and consumed to make it easier for users to access it through SQL clients, spreadsheets and Business Intelligence tools. Big data and data warehousing.

Data Warehouse 144

Data Warehouse Big Data Big Data Big Data Analytics 144

Dataconomy

NOVEMBER 19, 2024

At the last AI Conference, we had a chance to sit down with Roman Shaposhnik and Tanya Dadasheva, the co-founders of Ainekko/AIFoundry, and discuss with them an ambiguous topic of data value for enterprises in the times of AI. Is data really a moat for enterprises? It all actually started with business intelligence.

AI 113

AI AI Business Intelligence Business Intelligence 113

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. This aspect can be applied well to Process Mining, hand in hand with BI and AI. Click to enlarge!

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

Flipboard

JUNE 13, 2025

VB Transform brings together the people building real enterprise AI strategy. AI models are under siege. With 77% of enterprises already hit by adversarial model attacks and 41% of those attacks exploiting prompt injections and data poisoning, attackers’ tradecraft is outpacing existing cyber defenses. Register today.

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AI AI ML ML 170

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. Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

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

AWS Machine Learning Blog

FEBRUARY 10, 2025

Its software-as-a-service (SaaS) solution empowers leading banks and lenders with deep customer insights and AI-driven decision-making capabilities. Making credit decisions using AI can be challenging, requiring data science and portfolio teams to synthesize complex subject matter information and collaborate productively.

AWS 108

AWS Data Science AI AI 108

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 Business Intelligence Power BI Data Visualization 52

Data Science Blog

NOVEMBER 14, 2022

AI drives automation, not only in industrial production or for autonomous driving, but above all in dealing with bureaucracy. One example is the use of Deep Learning (as part of Artificial Intelligence) for image object detection. With AI , we can partially automate this process using image data (photos of car damages).

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Deep Learning Deep Learning Artificial Intelligence Artificial Intelligence 130

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 Business Intelligence ETL Data Lakes 52

Mlearning.ai

SEPTEMBER 5, 2023

Modern organizations rely heavily on business intelligence (BI) tools to consolidate and analyze data. Here are some of the major pitfalls of traditional BI approaches: Information Loss : Consolidating data from multiple sources inevitably leads to a loss of granularity. First, automated insight detection.

Business Intelligence 52

Business Intelligence Business Intelligence AI AI 52

Data Science Dojo

SEPTEMBER 5, 2024

Life-saving diagnostic tools in healthcare, online learning platforms in education, and remote work tools in business are all built on the principles of computer science. Here’s a list of 5 no-code AI tools for software developers What is Data Science? programs focusing on statistics, machine learning, and big data.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Data Science Dojo

SEPTEMBER 5, 2024

Life-saving diagnostic tools in healthcare, online learning platforms in education, and remote work tools in business are all built on the principles of computer science. Here’s a list of 5 no-code AI tools for software developers What is Data Science? programs focusing on statistics, machine learning, and big data.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Smart Data Collective

JANUARY 27, 2020

AI is making it easier than ever to succeed in this growing field. The application of Artificial intelligence and Business Intelligence in affiliate marketing has been actively discussed for quite a time. Bloggers are using AI to better identify target customers and create the right content for them.

AI 136

AI AI Business Intelligence Business Intelligence 136

Women in Big Data

NOVEMBER 27, 2024

Optimized for analytical processing, it uses specialized data models to enhance query performance and is often integrated with business intelligence tools, allowing users to create reports and visualizations that inform organizational strategies. Its PostgreSQL foundation ensures compatibility with most SQL clients.

Data Warehouse 59

Data Warehouse Big Data Big Data Azure 59

Smart Data Collective

NOVEMBER 11, 2021

We have frequently talked about the merits of using big data for B2C businesses. One of the reasons that we focus on these sectors is that there is so much data on consumers, which makes it easier to create a solid business model with big data. Businesses spent almost $21.5

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Dataconomy

MARCH 20, 2025

Data monetization is transforming the landscape of modern business, unlocking vast opportunities by turning raw data into economic value. As organizations increasingly leverage big data and advanced technologies, they find innovative ways to generate revenue or enhance offerings through data insights.

Data Analysis 91

Data Analysis Data Analysis Internet of Things Big Data 91

Pickl AI

SEPTEMBER 11, 2024

Summary: Big Data as a Service (BDaaS) offers organisations scalable, cost-effective solutions for managing and analysing vast data volumes. By outsourcing Big Data functionalities, businesses can focus on deriving insights, improving decision-making, and driving innovation while overcoming infrastructure complexities.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

DECEMBER 2, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Women in Big Data

DECEMBER 9, 2024

Introduction In the rapidly evolving landscape of data analytics, Business Intelligence (BI) tools have become indispensable for organizations seeking to leverage their big data stores for strategic decision-making. The Insight Advisor is Qliks AI-driven assistant.

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Smart Data Collective

JUNE 3, 2019

In a previous article I shared some of the challenges, benefits and trends of Big Data in the telecommunications industry. Big Data’s promise of value in the financial services industry is particularly differentiating. Customer-focused analysis dominates Big Data initiatives. Equity Amount.

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Smart Data Collective

DECEMBER 7, 2020

The latest innovation in the proxy service market makes every data gathering operation quicker and easier than ever before. Since the market for big data is expected to reach $243 billion by 2027 , savvy business owners will need to find ways to invest in big data. The Growth of AI in Web Data Collection.

ML 96

ML ML Data Quality Big Data 96

Smart Data Collective

FEBRUARY 26, 2025

AI empowers parents to help their high schoolers make smarter, more informed decisions about their education and future careers.

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