databricks

JUNE 12, 2025

Apache Spark™ has become the de facto engine for big data processing, powering workloads at some of the largest organizations in the world. This standard simplifies pipeline development across batch and streaming workloads. 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

130

130

Precisely

JANUARY 9, 2025

Artificial Intelligence (AI) is all the rage, and rightly so. Data marts involved the creation of built-for-purpose analytic repositories meant to directly support more specific business users and reporting needs (e.g., Its time to maximize the potential of your artificial intelligence (AI) initiatives.

Data Warehouse 119

Data Warehouse Hadoop Data Lakes Data Governance 119

The Data Administration Newsletter

JUNE 1, 2021

Artificial Intelligence (AI) seems to have reached its peak, and yet it is still growing and reaching even the most remote parts of the world. There are countless benefits to this technology, including life-saving tools and systems that function with automated AI algorithms.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Algorithm AI 98

The Data Administration Newsletter

JULY 6, 2021

Artificial intelligence (AI) is already in place with applications in areas such as medicine, automobile, education, communication infrastructure, and more. Whereas many individuals and businesses like venturing into AI, some are reluctant because of possible threats. These could relate to racial and gender […].

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence AI AI 98

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

Data Science Blog

NOVEMBER 14, 2022

One example is the use of Deep Learning (as part of Artificial Intelligence) for image object detection. DATANOMIQ is the independent consulting and service partner for business intelligence, process mining and data science. It is an realy enabler for lean management! Do not hesitate to get in touch with us!

Deep Learning 130

Deep Learning Deep Learning Artificial Intelligence Artificial Intelligence 130

Data Science Dojo

JANUARY 16, 2023

An overview of data analysis, the data analysis process, its various methods, and implications for modern corporations. Studies show that 73% of corporate executives believe that companies failing to use data analysis on big data lack long-term sustainability.

Data Analysis 195

Data Analysis Data Analysis Data Analyst Big Data 195

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

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

Data Science Dojo

SEPTEMBER 5, 2024

It has, however, also led to the increasing debate of data science vs computer science. While data science leverages vast datasets to extract actionable insights, computer science forms the backbone of software development, cybersecurity, and artificial intelligence. Bachelor’s, master’s, and Ph.D.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Data Science Dojo

SEPTEMBER 5, 2024

It has, however, also led to the increasing debate of data science vs computer science. While data science leverages vast datasets to extract actionable insights, computer science forms the backbone of software development, cybersecurity, and artificial intelligence. Bachelor’s, master’s, and Ph.D.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

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. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

The Data Administration Newsletter

MARCH 16, 2021

Difficult, demeaning, demanding, dangerous, dull – these are the jobs robots will be taking.” – Sabine Hauert If you still think of Artificial Intelligence (AI) as this highly complex invention that is far from being widespread in almost […].

Artificial Intelligence 71

Artificial Intelligence Artificial Intelligence AI AI 71

The Data Administration Newsletter

FEBRUARY 28, 2023

The project management profession, like many others, faces an emergent threat from artificial intelligence (AI)-based technologies. Gartner has predicted that by 2030, upwards to 80% of project management work will be automated by artificial intelligence (AI). Although 80% is arguably a bit extreme, I expect […]

Artificial Intelligence 59

Artificial Intelligence Artificial Intelligence AI AI 59

Pickl AI

JUNE 8, 2025

The Rise of Augmented Analytics Augmented analytics is revolutionizing how data insights are generated by integrating artificial intelligence (AI) and machine learning (ML) into analytics workflows. This trend is particularly impactful in industries requiring rapid, data-driven decision-making.

Data Science 52

Data Science Augmented Analytics Machine Learning Machine Learning 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

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

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 predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 139

Predictive Analytics Analytics Analytics Decision Trees 139

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

The Data Administration Newsletter

SEPTEMBER 14, 2021

Artificial Intelligence (AI) is the most talked-about technology currently and for obvious reasons. However, in the face of many facts about this technology, there have been several myths. For example, many associate it with Terminator-like scenes where machines take over the world, among other myths.

Artificial Intelligence 141

Artificial Intelligence Artificial Intelligence AI AI 141

Becoming Human

JANUARY 23, 2023

Just like this in Data Science we have Data Analysis , Business Intelligence , Databases , Machine Learning , Deep Learning , Computer Vision , NLP Models , Data Architecture , Cloud & many things, and the combination of these technologies is called Data Science.

Data Science 105

Data Science Big Data Big Data Deep Learning 105

Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Big Data: Large datasets fuel AI and Data Science, providing the raw material for analysis and model training.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

The Data Administration Newsletter

NOVEMBER 15, 2022

Artificial intelligence (AI) has already made a significant impact on the world of marketing, health, technology, and transportation. How […].

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 52

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. billion by 2022.

AI 136

AI AI Business Intelligence Business Intelligence 136

Data Science Dojo

APRIL 6, 2023

However, data is typically stored in databases and requires SQL or business intelligence tools for access. Instead, they store data in a flexible format, such as key-value pairs, document-based, or graph-based. NoSQL are commonly used in big data and real-time applications.

Database 195

Database SQL Data Science Business Intelligence 195

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.

65

65

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.

Power BI 52

Power BI Tableau Business Intelligence Business Intelligence 52

Smart Data Collective

AUGUST 15, 2019

Data makes it possible to target your ideal demographic seamlessly. For example, Chime Bank used artificial intelligence to test 216 versions of its homepage in just three months. According to data published by the Work Institute , employers will pay an estimated $680 billion in turnover costs by 2020.

Big Data 106

Big Data Big Data Predictive Analytics Artificial Intelligence 106

AWS Machine Learning Blog

FEBRUARY 10, 2025

Hendra Suryanto is the Chief Data Scientist at RDC with more than 20 years of experience in data science, big data, and business intelligence. Before joining RDC, he served as a Lead Data Scientist at KPMG, advising clients globally.

AWS 115

AWS Data Science AI AI 115

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

AWS Machine Learning Blog

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. From deriving insights to powering generative artificial intelligence (AI) -driven applications, the ability to efficiently process and analyze large datasets is a vital capability.

AWS 123

AWS Clustering Big Data Big Data 123

Flipboard

DECEMBER 17, 2024

We built an innovative solution on Amazon Web Services (AWS) generative artificial intelligence (AI) capabilities that lets clinicians unlock this data treasure trove. This untapped resource could hold the key to improving patient care and saving valuable clinician time.

AWS 65

AWS Artificial Intelligence Artificial Intelligence AI 65

Smart Data Collective

JUNE 8, 2023

We have talked extensively about the many industries that have been impacted by big data. many of our articles have centered around the role that data analytics and artificial intelligence has played in the financial sector. However, many other industries have also been affected by advances in big data technology.

Analytics 105

Analytics Analytics Data Analysis Data Analysis 105

Smart Data Collective

SEPTEMBER 9, 2019

. Artificial intelligence is upending the financial management industry in spectacular ways. However, deep learning and other artificial intelligence technologies will also change the future of technical analysis as well. Artificial intelligence and deep learning are likely to rewrite the script on technical analysis.

Deep Learning 92

Deep Learning Deep Learning Artificial Intelligence Artificial Intelligence 92

The Data Administration Newsletter

DECEMBER 20, 2022

The data world continues to change rapidly and you may want to consider these predictions when planning for the new year. The rise of generative AI startups: Generative artificial intelligence exploded in 2022. In this next year, we will see text […].

Artificial Intelligence 109

Artificial Intelligence Artificial Intelligence AI AI 109

Dataconomy

NOVEMBER 19, 2024

One of the key questions we started from was: are most companies running the same frontier AI models, is incorporating their data the only way they have a chance to differentiate? Is data really a moat for enterprises? It all actually started with business intelligence.

AI 113

AI AI Business Intelligence Business Intelligence 113

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. Debt and Income Ratio.

Big Data 85

Big Data Big Data Data Silos AI 85