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.

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Pickl AI

SEPTEMBER 10, 2024

AI-powered features in Excel enable users to make data-driven decisions more efficiently, saving time and effort while uncovering valuable insights hidden within large datasets. Introduction Artificial Intelligence (AI) is revolutionising how we use Excel, making data management faster and more efficient. What is AI in Excel?

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Pickl AI

OCTOBER 17, 2024

Summary: Descriptive Analytics tools transform historical data into visual reports, helping businesses identify trends and improve decision-making. Popular tools like Power BI, Tableau, and Google Data Studio offer unique features for Data Analysis. Additionally, reporting is a crucial element of Descriptive Analytics.

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Analytics Analytics Power BI Tableau 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. AI and automation play a central role in the evolving role.

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Pickl AI

OCTOBER 15, 2024

Predictive Analytics Predictive analytics involves using statistical algorithms and Machine Learning techniques to forecast future events based on historical data. It analyses patterns to predict trends, customer behaviours, and potential outcomes.

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Pickl AI

DECEMBER 4, 2024

The rise of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML) , and Big Data analytics is reshaping industries and creating new opportunities for Data Scientists. According to recent statistics, 56% of healthcare organisations have adopted predictive analytics to improve patient outcomes.

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Pickl AI

FEBRUARY 19, 2025

Here are some of the most essential elements of Data Science: Machine Learning (ML): Helps computers learn from data and make predictions without direct programming; powers recommendation systems like those on Netflix or Amazon. For example, a weather app predicts rainfall using past climate data. per year.

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Pickl AI

DECEMBER 2, 2024

Analytics Tools Once data is stored and processed, analytics tools help organisations extract valuable insights.Analytics tools play a critical role in transforming raw data into actionable insights. Machine Learning Algorithms: These algorithms can identify patterns in data and make predictions based on historical trends.

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Big Data Big Data Data Lakes Apache Hadoop 52

ODSC - Open Data Science

JANUARY 7, 2025

Scikit-learn also earns a top spot thanks to its success with predictive analytics and general machine learning. Power BI is surprisingly popular as well, possibly for its focus on business and applications, making it more commonly used by even non-tech-savvy individuals.

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Dataconomy

DECEMBER 24, 2024

Moreover, its ability to integrate seamlessly with Microsoft tools (Office 365, Teams, Power BI) and third-party applications makes collaboration and data access much easier. Moreover, integration with Power BI provides advanced reporting capabilities, offering visual insights into financial metrics.

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