Pickl AI

DECEMBER 2, 2024

Key Takeaways Big Data originates from diverse sources, including IoT and social media. Data lakes and cloud storage provide scalable solutions for large datasets. Processing frameworks like Hadoop enable efficient data analysis across clusters. Data Lakes allows for flexibility in handling different data types.

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Big Data Big Data Data Lakes Apache Hadoop 52

The MLOps Blog

FEBRUARY 5, 2023

We will also get familiar with tools that can help record this data and further analyse it. In the later part of this article, we will discuss its importance and how we can use machine learning for streaming data analysis with the help of a hands-on example. What is streaming data?

Machine Learning 72

Machine Learning Machine Learning Data Pipeline Apache Kafka 72

Pickl AI

NOVEMBER 25, 2024

Key Takeaways Big Data originates from diverse sources, including IoT and social media. Data lakes and cloud storage provide scalable solutions for large datasets. Processing frameworks like Hadoop enable efficient data analysis across clusters. Data Lakes allows for flexibility in handling different data types.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

IBM Journey to AI blog

OCTOBER 20, 2023

Major cloud infrastructure providers such as IBM, Amazon AWS, Microsoft Azure and Google Cloud have expanded the market by adding AI platforms to their offerings. AI technology is quickly proving to be a critical component of business intelligence within organizations across industries.

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Pickl AI

DECEMBER 16, 2024

Power BI is a dynamic business intelligence and analytics platform that transforms raw data into actionable insights through powerful visualisations and reports. Developed by Microsoft, it is designed to simplify Data Analysis for users at all levels, from beginners to advanced analysts.

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Power BI Analytics Analytics Machine Learning 52

Pickl AI

JULY 12, 2024

Scikit-learn: A simple and efficient tool for data mining and data analysis, particularly for building and evaluating machine learning models. Data Normalization and Standardization: Scaling numerical data to a standard range to ensure fairness in model training.

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Pickl AI

DECEMBER 10, 2024

Key Takeaways Exalytics, Exalogic, and Exadata provide optimised analytics, middleware, and database solutions. Exalytics delivers lightning-fast data analysis and visualisation capabilities. Exadata accelerates query execution and optimises storage for large-scale data management.

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Database Analytics Analytics Business Intelligence 52

Pickl AI

NOVEMBER 18, 2024

Underfitting happens when a model is too simplistic and fails to capture the underlying patterns in the data, leading to poor predictions. Predictive analytics uses historical data to forecast future trends, such as stock market movements or customer churn. How Do I Choose the Right Machine Learning Model?

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Pickl AI

OCTOBER 16, 2024

It’s popular in corporate environments for Data Analysis and Business Intelligence. Major players like Amazon RDS, Microsoft Azure SQL Database, and Google Cloud SQL are leading the charge, offering robust RDBMS capabilities in the cloud.

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SQL Database Big Data Analytics 52

phData

JULY 25, 2023

Understand the pain points and create a business strategy that helps reduce the time to convert your regular users to premium customers and increase your revenue Take Better Decision-based Data It is essential to have backing for your decisions. Data analysis of existing users can help you plan better for gaining future customers.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

phData

JULY 25, 2023

Understand the pain points and create a business strategy that helps reduce the time to convert your regular users to premium customers and increase your revenue Take Better Decision-based Data It is essential to have backing for your decisions. Data analysis of existing users can help you plan better for gaining future customers.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

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. One of this aspect is the cloud architecture for the realization of Data Mesh. See this as an example which has many possible alternatives.

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Pickl AI

JUNE 18, 2024

Summary: This blog dives into the most promising Power BI projects, exploring advanced data visualization, AI integration, IoT & blockchain analytics, and emerging technologies. Discover best practices for successful implementation and propel your organization towards data-driven success.

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Power BI Data Analysis Data Analysis Data Visualization 52

IBM Journey to AI blog

JUNE 5, 2024

Using comprehensive, AI-driven SaaS analytics, businesses can make data-driven decisions about feature enhancements, UI/UX improvements and marketing strategies to maximize user engagement and meet—or exceed—business goals. They may also struggle to fully leverage the predictive capabilities of app analytics.

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Pickl AI

DECEMBER 4, 2024

A key aspect of this evolution is the increased adoption of cloud computing, which allows businesses to store and process vast amounts of data efficiently. According to recent statistics, 56% of healthcare organisations have adopted predictive analytics to improve patient outcomes.

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Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

MARCH 10, 2025

In this blog, well explore the 5 key components of Power BI , their features, and how they can help you make data-driven decisions. Key Takeaways User-Friendly Interface: Simplifies data analysis for non-technical users. Key Features Data Import: Connects to multiple data sources like Excel, SQL Server, or cloud services.

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Pickl AI

APRIL 2, 2024

There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. Think of it as summarizing past data to answer questions like “Which products are selling best?” ” or “What are our customer demographics?”

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Dataconomy

MARCH 7, 2025

Salesforce Einstein Built into Salesforces CRM ecosystem , Einstein AI offers predictive analytics, automated insights, and personalized recommendations. Sales teams can forecast trends, optimize lead scoring, and enhance customer engagement all while reducing manual data analysis.

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