Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. However, there are a lot of other benefits of big data that have not gotten as much attention. Here’s why.

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Pickl AI

JANUARY 13, 2025

Summary: This curated list of 20 Artificial Intelligence books for beginners highlights foundational concepts, coding practices, and ethical insights. This blog highlights the 20 best Artificial Intelligence books tailored for newcomers, offering practical insights, ethical considerations, and real-world applications.

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Smart Data Collective

NOVEMBER 18, 2020

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly. Where to Use Data Science? Where to Use Data Mining?

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Dataconomy

AUGUST 27, 2024

However, much of this data has remained underutilized, often scattered across multiple platforms or buried in manual processes. AI is changing this by harnessing the power of big data to streamline operations and provide actionable insights. One of the most significant advancements is in predictive analytics.

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IBM Journey to AI blog

JUNE 5, 2024

Given the volume of SaaS apps on the market (more than 30,000 SaaS developers were operating in 2023) and the volume of data a single app can generate (with each enterprise businesses using roughly 470 SaaS apps), SaaS leaves businesses with loads of structured and unstructured data to parse. What are application analytics?

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Pickl AI

OCTOBER 9, 2024

With a market share exceeding 47% , it provides a wide range of services including flight bookings, hotel reservations, holiday packages, and rail and bus tickets. Time-Based Pricing Prices can vary based on time factors such as booking lead time or peak travel seasons.

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Pickl AI

JULY 23, 2023

Using the right data analytics techniques can help in extracting meaningful insight, and using the same to formulate strategies. The analytics techniques like descriptive analytics, predictive analytics, diagnostic analytics and others find application in diverse industries, including retail, healthcare, finance, and marketing.

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How to Learn Machine Learning

APRIL 15, 2023

By analysing a customer’s search history, previous bookings, and social media activity, AI can recommend travel destinations, activities, and accommodations that are tailored to the customer’s interests. Travel Planning and Booking AI is also being used to help travelers plan and book their trips.

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AWS Machine Learning Blog

AUGUST 15, 2024

SageMaker Canvas is revolutionizing the way businesses approach data and AI, putting the power of predictive analytics and data-driven decision-making into the hands of everyone. He has a background in AI/ML & big data. He wrote a book on AWS FinOps, and enjoys reading and building solutions.

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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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Flipboard

JUNE 10, 2025

Whether it’s through AI-powered code analysis, predictive analytics in retail or automating documentation in healthcare, companies understand they can find value in targeted applications of AI. For instance, AI-enabled predictive analytics allows companies to detect and respond to market trends in real time.

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Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? Why is data analytics important for travel organizations?

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Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. Our speakers lead their fields and embody the desire to create revolutionary ML experiences by leveraging the power of data-centric AI to drive innovation and progress.

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Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. Our speakers lead their fields and embody the desire to create revolutionary ML experiences by leveraging the power of data-centric AI to drive innovation and progress.

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AWS Machine Learning Blog

APRIL 18, 2023

Predictive condition-based maintenance is a proactive strategy that is better than reactive or preventive ones. Indeed, this approach combines continuous monitoring, predictive analytics, and just-in-time action. He published a book on time series analysis in 2022 and regularly writes about this topic on LinkedIn and Medium.

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Smart Data Collective

AUGUST 31, 2020

A prime example is the growing use of big data for stock future trading. Predictive analytics models have proven to be remarkably effective with the stock futures market. One company that uses big data to forecast stock prices has found that its algorithms outperform similar forecasts by 26%.

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