ODSC - Open Data Science

FEBRUARY 13, 2025

Attendees left with a clear understanding of how AI can enhance data analysis workflows and improve decision-making in business intelligence applications. The workshop underscored the value of knowledge graphs in improving AI explainability and retrieval precision.

Large Language Models 52

Large Language Models AI AI 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

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. .” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7

Machine Learning 225

Machine Learning Automation AI AI 225

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

ODSC - Open Data Science

FEBRUARY 12, 2024

Now that virtually every company is capitalizing on data, analytics alone isn’t enough to surge ahead of the competition. You must be able to analyze data faster, more accurately, and within context. It’s often hard to extract value from predictive models because they lack explainability and can be challenging to implement effectively.

Data Science 98

Data Science Automation Explainability Data Scientist 98

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

Pickl AI

APRIL 26, 2024

Top 50+ Interview Questions for Data Analysts Technical Questions SQL Queries What is SQL, and why is it necessary for data analysis? SQL stands for Structured Query Language, essential for querying and manipulating data stored in relational databases. Explain the difference between a bar chart and a histogram.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

Pickl AI

MARCH 4, 2024

Optimising Power BI reports for performance ensures efficient data analysis. Power BI proficiency opens doors to lucrative data analytics and business intelligence opportunities, driving organisational success in today’s data-driven landscape. Can you explain the critical components of Power BI?

Data Analysis 52

Data Analysis Explainability Business Intelligence 52

Pickl AI

OCTOBER 15, 2024

Summary: Statistical Modeling is essential for Data Analysis, helping organisations predict outcomes and understand relationships between variables. Introduction Statistical Modeling is crucial for analysing data, identifying patterns, and making informed decisions.

Data Analysis 52

Data Analysis Explainability Data Quality Categorization 52

Pickl AI

SEPTEMBER 3, 2024

Explainable AI As ANNs are increasingly used in critical applications, such as healthcare and finance, the need for transparency and interpretability has become paramount. Explainable AI (XAI) aims to provide insights into how neural networks make decisions, helping stakeholders understand the reasoning behind predictions and classifications.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 52

Marktechpost

JULY 17, 2023

The company’s H20 Driverless AI streamlines AI development and predictive analytics for professionals and citizen data scientists through open source and customized recipes. Additionally, the business offers a variety of enhanced capabilities for model deployment, model development, and turbo prep (Model Ops).

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

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.

Business Intelligence 52

Business Intelligence Data Science Composite AI Automation 52

Pickl AI

JUNE 12, 2023

A Data Scientist requires to be able to visualize quickly the data before creating the model and Tableau is helpful for that. With SQL queries Tableau helps in integrating with them effectively. Disadvantages of Tableau for Data Science However, apart from the advantages, Tableau for Data Science also has its own disadvantages.

Data Science 52

Data Science Data Scientist Data Analysis Machine Learning 52

Pickl AI

FEBRUARY 8, 2023

Data Manipulation The process through which you can change the data according to your project requirement for further data analysis is known as Data Manipulation. The entire process involves cleaning, Merging and changing the data format. This data can help in building the project pipeline.

Data Science 52

Data Science ChatGPT Chatbots Data Scientist 52

AWS Machine Learning Blog

FEBRUARY 25, 2025

Its internal deployment strengthens our leadership in developing data analysis, homologation, and vehicle engineering solutions. This would explain why k-NN-based models outperform LLM-based models. This type of situation, where high class overlap is observed, presents an ideal case for applying algorithms such as k-NN.

Chatbots 70

Chatbots Categorization LLM Algorithm 70

Pickl AI

FEBRUARY 21, 2023

Understanding the appropriate ways to use data remains critical to success in finance, education and commerce. Accordingly, data collection from numerous sources is essential before data analysis and interpretation. Furthermore, data mining can help organisations better understand their customers.

Data Mining 52

Data Mining Data Scientist Data Science Machine Learning 52

Bugra Akyildiz

MAY 25, 2024

OpenAI has wrote another blog post around data analysis capabilities of the ChatGPT. It has a number of neat capabilities that are supported by interactively and iteratively: File Integration Users can directly upload data files from cloud storage services like Google Drive and Microsoft OneDrive into ChatGPT for analysis.

ChatGPT 59

ChatGPT Machine Learning Data Analysis OpenAI 59

Pickl AI

AUGUST 16, 2023

In the world of Machine Learning and Data Analysis , decision trees have emerged as powerful tools for making complex decisions and predictions. These tree-like structures break down a problem into smaller, manageable parts, enabling us to make informed choices based on data. What is The Main Advantage of Decision Trees?

Algorithm 52

Algorithm Machine Learning Python Business Intelligence 52

Marktechpost

JULY 23, 2023

A data warehouse is a data management system for data reporting, analysis, and storage. It is an enterprise data warehouse and is part of business intelligence. Data from one or more diverse sources is stored in data warehouses, which are central repositories.

Machine Learning 52

Machine Learning Big Data ETL Data Integration 52

Pickl AI

FEBRUARY 19, 2025

With the proper Data Analysis, businesses can reduce costs, increase profits, and provide better services. Types of Data Analytics Data Analytics includes different types, each serving a unique purpose. These types help businesses analyse data in various ways to solve problems and improve strategies.

Data Science 52

Data Science Machine Learning Data Scientist Algorithm 52

Applied Data Science

JUNE 1, 2021

We dig into a real-world dataset to search for stories worth telling and explain how common practices in data visualisation sometimes fail to convey the right message. Story-telling recently entered this list and is arguably still puzzling the data science community: is it just a buzzword or is there more to it?

Data Science 52

Data Science Explainability Categorization Business Intelligence 52

ODSC - Open Data Science

DECEMBER 3, 2024

The creator of the concept, Zhamak Dehghani, explains that it is a shift defined by the following principles: Domain-oriented data ownership. The departments closest to data should own it. For example, marketing teams should fully manage the entire marketing data pipeline. Integrate with existing data infrastructure.

Metadata 40

Metadata Business Intelligence Data Analysis Data Quality 40

Heartbeat

DECEMBER 5, 2023

Data analysis: A100 GPUs can accelerate data processing and analysis in scenarios where large data sets need to be processed quickly, such as data analytics and business intelligence. High memory bandwidth and computing power are beneficial for such applications.

Natural Language Processing 52

Natural Language Processing LLM Deep Learning NLP 52

Heartbeat

NOVEMBER 20, 2023

Improved Data Analysis and Insights Blockchain generates vast amounts of data, but interpreting and extracting valuable insights from it can be challenging. Machine learning can process and analyze this data more efficiently, helping organizations derive helpful business intelligence and make data-driven decisions.

Machine Learning 52

Machine Learning Algorithm ML Deep Learning 52

Mlearning.ai

MAY 23, 2023

In the final stage, the results are communicated to the business in a visually appealing manner. This is where the skill of data visualization, reporting, and different business intelligence tools come into the picture. What is the difference between data analytics and data science? Explain it’s working.

Data Science 52

Data Science Neural Network Deep Learning Machine Learning 52

Unite.AI

SEPTEMBER 26, 2024

Zenlytic , a trailblazer in AI-powered business intelligence (BI), has successfully raised $9 million in a Series A funding round led by M13 , alongside participation from Bain Capital Ventures , Primary Ventures , Company Ventures , Correlation Ventures , 14 Peaks , and several strategic angel investors.

Business Intelligence 130

Business Intelligence Data Analysis Natural Language Processing Explainability 130

Marktechpost

NOVEMBER 4, 2024

Professionals known as data analysts enable this by turning complicated raw data into understandable, useful insights that help in decision-making. They navigate the whole data analysis cycle, from discovering and collecting pertinent data to getting it ready for analysis, interpreting the findings, and formulating suggestions.

Data Analysis 81

Data Analysis Machine Learning Data Science Python 81

ODSC - Open Data Science

MARCH 18, 2025

As a key architect of Browns data science masters program, he shapes the next generation of AI leaders, teaching core courses and mentoring students in cutting-edge research on missing data, interpretability, and machine learning pipelines. A sought-after speaker, Matt has taught at top conferences like PyCon, SciPy, andStrata.

Data Science 64

Data Science Machine Learning Software Engineer Data Scientist 64

Marktechpost

NOVEMBER 1, 2024

Azure Machine Learning is an affordable choice for both small and large businesses, with premium capabilities starting at $9.99 Microsoft Power BI For businesses looking to integrate AI and improve their data analysis capabilities, Microsoft Power BI is a crucial tool. per month and a free version available as well.

Artificial Intelligence 96

Artificial Intelligence Artificial Intelligence AI Tools Machine Learning 96

Unite.AI

SEPTEMBER 19, 2024

It leverages both GPU and CPU processing to query massive datasets quickly, with support for SQL and geospatial data. The platform includes visual analytics tools for interactive dashboards, cross-filtering, and scalable data visualizations, enabling efficient big data analysis across various industries.

Metadata 130

Metadata Big Data Large Language Models Natural Language Processing 130

Artificial Corner

JUNE 29, 2023

Moreover, the traditional mindset and organizational culture that prioritize gut instincts and experience over data-driven insights is something you will always have to fight. First, organizations should prioritize user-friendly analytics tools and intuitive interfaces that make it easy for business users to access and analyze data.

Data Quality 52

Data Quality Data Scientist Data Analysis ChatGPT 52

Pickl AI

APRIL 2, 2024

Summary This blog post demystifies data science for business leaders. It explains key concepts, explores applications for business growth, and outlines steps to prepare your organization for data-driven success. The Three Types of Data Science Data science isn’t a one-size-fits-all solution.

Data Science 52

Data Science Data Scientist Machine Learning Big Data 52

IBM Journey to AI blog

AUGUST 4, 2023

Map a data framework –When you achieve full data democratization, what will that look like? Design a path toward that goal, defining where application modernization, data analysis, automation and AI can help get you there. How will data standards and process be communicated and enforced?

Machine Learning 183

Machine Learning Metadata Automation AI 183

Pickl AI

APRIL 8, 2025

Types of Dimensions in Data Warehouse include conformed, role-playing, slowly changing, junk, and degenerate dimensions. Each type serves a specific purpose in organizing and analysing data for effective business intelligence, ensuring consistency, historical accuracy, and simplified queries.

Explainability 52

Explainability Categorization Business Intelligence Data Quality 52

Pickl AI

MARCH 27, 2025

Competitive Advantage : Companies that use analytics can stay ahead of their competitors by understanding customer preferences, market trends, and business risks before others do. How is Business Analytics Different from Related Fields? It helps businesses understand what has happened.

Data Science 52

Data Science Business Intelligence Data Analysis Machine Learning 52