IBM Journey to AI blog

JULY 6, 2023

Machine learning can then “learn” from the data to create insights that improve performance or inform predictions. Just as humans can learn through experience rather than merely following instructions, machines can learn by applying tools to data analysis.

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Pickl AI

DECEMBER 6, 2024

Skilled personnel are necessary for accurate Data Analysis. What is Pricing Analytics? Pricing Analytics is the practice of using Data Analysis techniques to determine the most effective pricing strategies for products or services. Executive alignment is crucial for successful pricing initiatives.

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Pickl AI

JULY 3, 2024

They act as the defining characteristics of entities, providing the details that breathe life into our data. Understanding attributes and their diverse types is crucial for anyone who interacts with databases , from Data Analysts to web developers. Data Analysis Attributes are the foundation for Data Analysis tasks.

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Pickl AI

DECEMBER 4, 2024

This explosive growth is driven by the increasing volume of data generated daily, with estimates suggesting that by 2025, there will be around 181 zettabytes of data created globally. According to recent statistics, 56% of healthcare organisations have adopted predictive analytics to improve patient outcomes.

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Pickl AI

JULY 2, 2023

Spark’s in-memory processing capability enables high-speed data processing, making it suitable for real-time and batch-processing workloads. Scalability and Performance It also provides a cloud-based infrastructure that can handle large volumes of data. This saves time and increases performance.

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Pickl AI

JUNE 18, 2023

Hadoop has become a highly familiar term because of the advent of big data in the digital world and establishing its position successfully. The technological development through Big Data has been able to change the approach of data analysis vehemently. Let’s find out from the blog! What is Hadoop?

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Pickl AI

JULY 20, 2023

Defining clear objectives and selecting appropriate techniques to extract valuable insights from the data is essential. Here are some project ideas suitable for students interested in big data analytics with Python: 1. Analyzing Large Datasets: Choose a large dataset from public sources (e.g.,

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Pickl AI

OCTOBER 18, 2023

Through this write-up, we are unfolding the new developments in the analytics field and some real-world sports analytics examples. Key Insights The global sports analytics market is expected to hit a market of $22 billion by 2030. In 2022, the on-field part of sports analytics ruled, making over 61.0%

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Pickl AI

JULY 18, 2023

While it may not be a traditional programming language, SQL plays a crucial role in Data Science by enabling efficient querying and extraction of data from databases. SQL’s powerful functionalities help in extracting and transforming data from various sources, thus helping in accurate data analysis.

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Pickl AI

SEPTEMBER 24, 2024

This blog delves into how Uber utilises Data Analytics to enhance supply efficiency and service quality, exploring various aspects of its approach, technologies employed, case studies, challenges faced, and future directions.

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Pickl AI

JULY 16, 2024

Understanding AIOps Think of AIOps as a multi-layered application of Big Data Analytics , AI, and ML specifically tailored for IT operations. Its primary goal is to automate routine tasks, identify patterns in IT data, and proactively address potential issues.

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