Data Science Dojo

SEPTEMBER 5, 2024

While data science leverages vast datasets to extract actionable insights, computer science forms the backbone of software development, cybersecurity, and artificial intelligence. Artificial Intelligence (AI) and Machine Learning : Develop models that can learn from data and make autonomous decisions.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Data Science Dojo

SEPTEMBER 5, 2024

While data science leverages vast datasets to extract actionable insights, computer science forms the backbone of software development, cybersecurity, and artificial intelligence. Artificial Intelligence (AI) and Machine Learning : Develop models that can learn from data and make autonomous decisions.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

AWS Machine Learning Blog

MAY 30, 2024

CBRE is unlocking the potential of artificial intelligence (AI) to realize value across the entire commercial real estate lifecycle—from guiding investment decisions to managing buildings. The wrapper function creates a dynamic prompt template and generates a SQL query using Anthropic Claude 2.

AWS 122

AWS SQL Database AI 122

Dataconomy

SEPTEMBER 27, 2023

The Microsoft Certified Solutions Associate and Microsoft Certified Solutions Expert certifications cover a wide range of topics related to Microsoft’s technology suite, including Windows operating systems, Azure cloud computing, Office productivity software, Visual Studio programming tools, and SQL Server databases.

Database Administration 113

Database Administration Database Azure Cloud Computing 113

ODSC - Open Data Science

FEBRUARY 24, 2023

Great Expectations provides support for different data backends such as flat file formats, SQL databases, Pandas dataframes and Sparks, and comes with built-in notification and data documentation functionality. VisiData works with CSV files, Excel spreadsheets, SQL databases, and many other data sources.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Data Science Blog

JUNE 30, 2023

However, we collect these over time and will make trends secure, for example how the demand for Python, SQL or specific tools such as dbt or Power BI changes. The presentation is currently limited to the current situation on the labor market. Why we did it? It is a nice show-case many people are interested in.

Data Engineering 130

Data Engineering Data Engineering Data Engineer Data Engineering 130

Analytics Vidhya

JUNE 27, 2020

Overview There are a plethora of data science tools out there – which one should you pick up? Here’s a list of over 20. The post 22 Widely Used Data Science and Machine Learning Tools in 2020 appeared first on Analytics Vidhya.

Machine Learning 400

Machine Learning Data Science Machine Learning Analytics 400

Data Science Blog

MARCH 19, 2024

Um sich wirklich datengetrieben aufzustellen und das volle Potenzial der eigenen Daten und der Technologien vollumfänglich auszuschöpfen, müssen KI und Data Analytics sowie Business Intelligence in Kombination gebracht werden. Espresso AI wurde dafür entwickelt, um genau das zu tun. Und wie sieht die weitere Entwicklung aus?

Data Science 130

Data Science AI AI Business Intelligence 130

IBM Journey to AI blog

OCTOBER 14, 2024

“ Gen AI has elevated the importance of unstructured data, namely documents, for RAG as well as LLM fine-tuning and traditional analytics for machine learning, business intelligence and data engineering,” says Edward Calvesbert, Vice President of Product Management at IBM watsonx and one of IBM’s resident data experts.

AI 78

AI AI Database Data Engineering 78

IBM Journey to AI blog

SEPTEMBER 11, 2023

Boyce to create Structured Query Language (SQL). Don Haderle, a retired IBM Fellow and considered to be the “father of Db2,” viewed 1988 as a seminal point in its development as D B2 version 2 proved it was viable for online transactional processing (OLTP)—the lifeblood of business computing at the time.

Database 101

Database SQL Data Warehouse Machine Learning 101

Pickl AI

OCTOBER 16, 2024

This article explores RDBMS’s features, advantages, applications across industries, the role of SQL, and emerging trends shaping the future of data management. Additionally, we will examine the role of SQL in RDBMS and look ahead at emerging trends shaping the future of structured data management.

Database 52

Database SQL Big Data Big Data 52

ODSC - Open Data Science

FEBRUARY 8, 2023

BigQuery operation principles Business intelligence projects presume collecting information from different sources into one database. It meets the universal SQL standard , which makes it compatible with all existing analytic apps for creating dashboards and reports to understand data better.

Database 97

Database Data Science Big Data Big Data 97

Pickl AI

JANUARY 22, 2025

Introduction Did you know that programming languages are the backbone of modern technology, enabling everything from simple web pages to complex artificial intelligence systems? SQL SQL specialises in querying relational databases efficiently.

Python 52

Python Data Science SQL Cloud Computing 52

Pickl AI

NOVEMBER 18, 2024

Introduction Power BI has become one of the most popular business intelligence (BI) tools, offering powerful Data Visualisation, reporting, and decision-making features. billion by 2030 at a CAGR of 9.1% , businesses are increasingly seeking alternatives that may better suit their unique needs. billion to USD 54.27

Power BI 52

Power BI Tableau Data Analysis Data Analysis 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

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. She explained how to integrate structured (SQL, CSV) and unstructured data (documents, Slack messages) into Neo4js graph database to create a more context-aware AI system.

AI 52

AI AI Data Analyst Database 52

Pickl AI

JULY 10, 2024

Introduction Artificial Intelligence (AI) and Machine Learning are revolutionising industries by enabling smarter decision-making and automation. Understanding AI and Machine Learning Artificial Intelligence (AI) is the simulation of human intelligence in machines designed to think and act like humans.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

IBM Journey to AI blog

MAY 9, 2023

. “The media and entertainment industry has undergone a significant digital transformation, with viewers consuming content across different devices and platforms,” said Vitaly Tsivin, EVP Business Intelligence at AMC Networks. ” Notably, watsonx.data runs both on-premises and across multicloud environments.

Data Warehouse 92

Data Warehouse AWS AI AI 92

ODSC - Open Data Science

SEPTEMBER 27, 2023

Use Cases : Data warehouses are tailored for business analysts, decision-makers, and executives who require fast, reliable access to structured data for reporting, business intelligence, and strategic decision-making. Processing: Relational databases are optimized for transactional processing and structured queries using SQL.

Data Lakes 98

Data Lakes Data Warehouse Database Big Data 98

ODSC - Open Data Science

JUNE 12, 2023

In the real world, the Business Intelligence ( BI ) or the Information Technology ( IT ) departments are responsible for implementing and maintaining the ETL processes, the enterprise data warehouse and Datamarts, which often take a reasonably long time to deliver the solution to the end users.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

Pickl AI

JANUARY 9, 2025

Expertise in tools like Power BI, SQL, and Python is crucial. Expertise in programs like Microsoft Excel, SQL , and business intelligence (BI) tools like Power BI or Tableau allows analysts to process and visualise data efficiently. Key Takeaways Operations Analysts optimise efficiency through data-driven decision-making.

Power BI 52

Power BI Machine Learning Machine Learning Tableau 52

DataSeries

JANUARY 18, 2023

A usage report of any online business intelligence portal will quickly reveal that 80–90% of all dashboards are rarely if ever accessed. Perhaps the best way to illustrate their differences is to take a simple business problem and examine how we might approach it with each type of system.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Warehouse Deep Learning 52

AWS Machine Learning Blog

MAY 25, 2023

Create a dashboard using QuickSight After you have collected the metrics and preprocessed the aggregated metrics, you can visualize the data to get the business insights. For this solution, we use QuickSight for the business intelligence (BI) dashboard and Athena as the data source for QuickSight.

ML 81

ML ML AWS Database 81

Pickl AI

SEPTEMBER 5, 2024

Operations Analysts are increasingly leveraging advanced analytics tools to gain deeper insights into business processes. Technologies such as machine learning and artificial intelligence are being integrated into Data Analysis, allowing analysts to predict trends and identify potential issues before they arise.

Data Analysis 52

Data Analysis Data Analysis Data Quality Analytics 52

Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. and ‘‘What is the difference between Data Intelligence and Artificial Intelligence ?’. Look at the table below. 12,00000 Programming (e.g.,

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Pickl AI

APRIL 26, 2024

It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques. Key Takeaways SQL Mastery: Understand SQL’s importance, join tables, and distinguish between SELECT and SELECT DISTINCT. How do you join tables in SQL?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

FEBRUARY 19, 2025

Artificial Intelligence (AI): Enables machines to perform tasks that require human intelligence, such as recognising speech, translating languages, or driving autonomous cars. Data Analytics helps businesses make better choices based on past and present information. SQL : A database language to fetch and analyse data.

Data Science 52

Data Science Analytics Analytics Machine Learning 52

Alation

JUNE 28, 2022

An active metadata management approach allows the metadata management framework to incorporate artificial intelligence and machine learning, removing the need for siloed workflows, typically contained in spreadsheets. Simple Navigation for Business Users. Supports Strong Data Culture.

Data Governance 52

Data Governance Data Analyst Machine Learning Machine Learning 52

phData

JULY 24, 2024

This analysis can be visualized in a business intelligence dashboard , similar to the example our analytic engineers created here. With that data, we can use artificial intelligence (AI) to determine whether or not the campaign was worth it. Who Are Our Ideal Customers?

Machine Learning 52

Machine Learning Machine Learning Data Engineering Data Engineering 52

IBM Journey to AI blog

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. Unlock competitive advantages with accelerated data insights through an AI-powered conversational interface, with no SQL expertise required. It enables secure data sharing for analytics and AI across your ecosystem.

AWS 93

AWS Database ETL AI 93

AWS Machine Learning Blog

OCTOBER 9, 2024

Using Amazon Redshift ML for anomaly detection Amazon Redshift ML makes it easy to create, train, and apply machine learning models using familiar SQL commands in Amazon Redshift data warehouses. To start using CloudWatch anomaly detection, you first must ingest data into CloudWatch and then enable anomaly detection on the log group.

AWS 82

AWS ML ML Data Quality 82

IBM Journey to AI blog

JULY 3, 2024

Establishing a foundation of trust: Data quality and governance for enterprise AI As organizations increasingly rely on artificial intelligence (AI) to drive critical decision-making, the importance of data quality and governance cannot be overstated.

AI 45

AI AI Data Quality Database 45

AWS Machine Learning Blog

JUNE 25, 2024

Amazon Bedrock , a fully managed service designed to facilitate the integration of LLMs into enterprise applications, offers a choice of high-performing LLMs from leading artificial intelligence (AI) companies like Anthropic, Mistral AI, Meta, and Amazon through a single API.

AWS 116

AWS Natural Language Processing Machine Learning Machine Learning 116

IBM Journey to AI blog

JULY 11, 2023

They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics that enable faster decision making and insights. The BDI workload is an IBM-defined workload that models a day in the life of a Business Intelligence application.

Data Warehouse 60

Data Warehouse Database Cloud Data Big Data 60

ODSC - Open Data Science

MAY 27, 2024

Data science is a diverse field, encompassing disciplines of statistics, programming, mathematics, business intelligence, and computer science, among others. For example, writing basic SQL queries is a task that LLMs can easily tackle with enough knowledge of the database’s schema.

Data Science 52

Data Science Data Scientist AI AI 52

IBM Journey to AI blog

JULY 17, 2023

” Vitaly Tsivin, EVP Business Intelligence at AMC Networks. Streamline data engineering: Reduce data pipelines, simplify data transformation, and enrich data for consumption using SQL, Python, or an AI infused conversational interface.

AI 74

AI AI Machine Learning Machine Learning 74

Alation

JANUARY 17, 2023

Business intelligence (BI) platforms. A legacy data stack usually refers to the traditional relational database management system (RDBMS), which uses a structured query language (SQL) to store and process data. SQL, however, remains a popular query language for both legacy and modern data stacks. Reverse ETL tools.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52