Pickl AI

JULY 3, 2023

What is Business Intelligence? Business Intelligence (BI) refers to the technology, techniques, and practises that are used to gather, evaluate, and present information about an organisation in order to assist decision-making and generate effective administrative action. Stay curious and committed to continuous learning.

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Pickl AI

JANUARY 23, 2024

Challenges such as technological shifts and ethical dilemmas require continuous learning and adaptability. Opting for reputable Data Analytics courses, such as those by Pickl.AI, ensures a holistic learning experience for career advancement with training and placement support. billion in 2023 to an estimated USD 84.39

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The MLOps Blog

FEBRUARY 15, 2024

One possible transformation is shifting towards business intelligence (BI) or business analytics roles by embracing their analytical skills. We’re already witnessing a rise in engineers who don’t consider themselves machine learning engineers but work with ML technology daily.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

About the Authors Ilan Geller is the Managing Director at Accenture with focus on Artificial Intelligence, helping clients Scale Artificial Intelligence applications and the Global GenAI COE Partner Lead for AWS.

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Pickl AI

JANUARY 16, 2024

Summary: The blog delves into the 2024 Data Analyst career landscape, focusing on critical skills like Data Visualisation and statistical analysis. The blog concludes by recommending Pickl.AI’s Data Analytics Certification Course for those pursuing a successful Data Analytics career path.

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Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

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Becoming Human

MARCH 13, 2024

Businesses are using generative AI for automating content development procedures, which conserves resources and time while producing high-quality results. For example, marketing teams can utilize generative AI to create interesting blogs, email campaigns, and social media messages.

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