IBM Journey to AI blog

DECEMBER 16, 2022

An enterprise data catalog automates the process of contextualizing data assets by using: Business metadata to describe an asset’s content and purpose. A business glossary to explain the business terms used within a data asset. This is especially helpful when handling massive amounts of big data.

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AWS Machine Learning Blog

MARCH 18, 2025

The randomization process was adequately explained to patients, and they understood the rationale behind blinding, which is to prevent bias in the results (Transcript 2). Her work has been focused on in the areas of business intelligence, analytics, and AI/ML. He helps customers implement big data and analytics solutions.

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ODSC - Open Data Science

JUNE 1, 2023

Augmented Analytics — Where Do You Fit in at the Intersection of Analytics and Business Intelligence? With augmented analytics (and embedded insights), anyone can become a citizen data scientist, regardless of their advanced analytics expertise.

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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? So where do you fit into the BI equation?

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AWS Machine Learning Blog

OCTOBER 2, 2024

This includes implementing access controls, data governance policies, and proactive monitoring and alerting to make sure sensitive information is properly secured and monitored. Ask the model to self-explain , meaning provide explanations for their own decisions. Tanvi Singhal is a Data Scientist within AWS Professional Services.

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Dlabs.ai

AUGUST 31, 2021

AI & Big Data Expo Global Date: September 6-7th Place: London (virtual show runs 13th-15th Sept) Ticket: Free to 999 GBP The AI & Big Data Expo Global gives attendees a space to explore and discover new ways to implement AI and big data. Let’s go!

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ODSC - Open Data Science

NOVEMBER 19, 2024

Dimensional Data Modeling in the Modern Era by Dustin Dorsey Slides Dustin Dorsey’s AI slides explored the evolution of dimensional data modeling, a staple in data warehousing and business intelligence. Introduction to Containers for Data Science / Data Engineering with Michael A.

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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).

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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.

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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. Data Visualisation What are the fundamental principles of data visualisation?

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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. Big Data: Refers to vast sets of data that traditional tools cannot process; commonly used in industries like social media, e-commerce, and healthcare.

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Pickl AI

JUNE 12, 2023

Disadvantages of Tableau for Data Science However, apart from the advantages, Tableau for Data Science also has its own disadvantages. These can be explained as follows: Tableau doesn’t have the feature of integration and while Data Scientists make use of automation and integrations.

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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.

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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. How does HEAVY.AI

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Marktechpost

NOVEMBER 4, 2024

Leveraging Google’s expertise in data handling and AI innovation, this platform offers extensive analytics capabilities that range from marketing and business intelligence to data science. Google Cloud Smart Analytics supports organizations in building data-driven workflows and implementing AI at scale.

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Marktechpost

NOVEMBER 1, 2024

Leveraging Google’s expertise in data handling and AI innovation, this platform offers extensive analytics capabilities that range from marketing and business intelligence to data science. Google Cloud Smart Analytics supports organizations in building data-driven workflows and implementing AI at scale.

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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.

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Flipboard

DECEMBER 17, 2024

By using Amazon Q Business , a generative AIpowered assistant, HealthLinker can answer questions, provide summaries, and generate content based on data from One Medicals systems. This frees up clinicians to focus on delivering exceptional care.

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