Data Science Dojo

MARCH 26, 2024

Besides, data analytics solutions contribute to increased cost effectiveness which is proved by the following estimates : businesses with optimized supply chains reduce supply chain expenditures by 15% and make cash-to-cash cycles 3 times faster.

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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. Each applications has its own data model. Process Mining offers process transparency, compliance insights, and process optimization.

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Data Science Dojo

SEPTEMBER 25, 2024

Better Decision-Making AI enhances business decision-making by analyzing extensive data for valuable insights. Predictive analytics anticipates customer behavior, aiding in product development and marketing decisions. This analysis helps news organizations understand the public’s reaction to various events and topics.

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Pickl AI

OCTOBER 14, 2024

Summary: This article explores different types of Data Analysis, including descriptive, exploratory, inferential, predictive, diagnostic, and prescriptive analysis. Introduction Data Analysis transforms raw data into valuable insights that drive informed decisions. What is Data Analysis?

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Smart Data Collective

JULY 12, 2021

The bottom line is that data analysis will help you monitor the trends in the market and change your trading strategies to maximize profits. Use Data Analytics to Increase Knowledge. Helps Understand Risk with Predictive Analytics. Just about all traders aim to make big profits.

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Towards AI

FEBRUARY 2, 2024

Data Analysis: data analysis is the process of examining, transforming, and arranging raw data in a specific way to generate useful information from the data. data analysis uses past events to analyze past results in any context.

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Smart Data Collective

NOVEMBER 25, 2019

Some of these new tools use AI to predict events more accurately by employing predictive analytics to identify subtle relationships between even seemingly unrelated variables. Predictive analytics is the use of data and AI-powered algorithms to help analysts forecast the future and better predict business outcomes.

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Smart Data Collective

OCTOBER 13, 2021

The study and analysis of data allows to improve the automation of processes, optimizing sales strategies and improving business efficiency. In forecasting future events. Prescriptive analytics. This type of analysis is primarily aimed at prescribing actions to be taken to address an anticipated future challenge.

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Smart Data Collective

JUNE 8, 2023

Data analytics can impact the sports industry and a number of different ways. Sports leagues and teams are using analytics to estimate turn out at various sporting events, predict the performance of individual athletes, identify ways that athletes can improve their performance and improve marketing strategies.

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Smart Data Collective

NOVEMBER 18, 2020

We decided to cover some of the most important differences between Data Mining vs Data Science in order to finally understand which is which. What is Data Science? Data Science is an activity that focuses on data analysis and finding the best solutions based on it. Where to Use Data Science?

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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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Dataconomy

MAY 25, 2023

AI algorithms can uncover hidden correlations within IoT data, enabling predictive analytics and proactive actions. Here are some ways AI enhances IoT devices: Advanced data analysis AI algorithms can process and analyze vast volumes of IoT-generated data.

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Becoming Human

MAY 19, 2023

However, it’s still learning as there are many challenges related to speech data and the data quality it uses to get better. Predictive Analytics The banking sector is one of the most data-rich industries in the world, and as such, it is an ideal candidate for predictive analytics.

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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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Becoming Human

JUNE 14, 2023

Improved Patient Safety: AI systems can help identify potential risks, errors, and adverse events in real time, enabling proactive interventions and ensuring patient safety through enhanced monitoring and predictive analytics. AI in healthcare has transformed drug development, making it faster and more cost-effective.

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Data Science Blog

OCTOBER 20, 2024

First, a robust data platform (such as a customer data platform; CDP) that can integrate data from various sources, such as tracking systems, ERP systems, e-commerce platforms to effectively perform data analytics. In contrast, multi-touch attribution leverages individual user-level data from various channels.

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Pickl AI

JUNE 25, 2023

The following segment highlights the different types of Business Analytics: 1. Descriptive Analytics Descriptive analytics focuses on summarizing historical data to gain a better understanding of past events and trends. No, business analytics and data science are not the same.

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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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Smart Data Collective

JULY 9, 2019

This is where big data—and its wealth of data analysis—can guide improvement of customer service functionality across various channels. Big data provides myriad ways to help customers save time. We’re talking about updates like delivery information, exclusive offers or upcoming events. Help Customers Save Time.

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Pickl AI

JUNE 29, 2023

Data Analysis is significant as it helps accurately assess data that drive data-driven decisions. Different tools are available in the market that help in the process of analysis. It is a powerful and widely-used platform that revolutionises how organisations analyse and derive insights from their data.

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Pickl AI

SEPTEMBER 12, 2024

Read More: Big Data as a Service (BDaaS): A Comprehensive Overview Data Analysis Techniques Airbnb employs a variety of Data Analysis techniques to extract actionable insights from its vast data pool, including descriptive, predictive, and prescriptive analytics.

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Pickl AI

OCTOBER 15, 2024

Diagnostic Analytics Diagnostic analytics goes a step further by explaining why certain events occurred. It uses data mining , correlations, and statistical analyses to investigate the causes behind past outcomes. It analyses patterns to predict trends, customer behaviours, and potential outcomes.

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The MLOps Blog

FEBRUARY 5, 2023

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? This will also help us observe the importance of stream data.

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Ocean Protocol

DECEMBER 12, 2023

Abstract This research report encapsulates the findings from the Curve Finance Data Challenge , a competition that engaged 34 participants in a comprehensive analysis of the decentralized finance protocol. Part 1: Exploratory Data Analysis (EDA) MEV Over 25,000 MEV-related transactions have been executed through Curve.

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Women in Big Data

APRIL 17, 2024

Learning Objectives Recap: Paradigms in Data Science: We explored the two main paradigms in data science: descriptive analytics (understanding what happened in the past) and predictive analytics (using models to forecast future outcomes). It learns from historical data to make predictions about future events.

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Pickl AI

SEPTEMBER 25, 2024

Medical Image Analysis Deep Learning algorithms analyse medical images such as X-rays, MRIs, and CT scans to detect anomalies like tumours or fractures. Predictive Analytics By analysing patient data, Deep Learning can predict disease outbreaks and patient deterioration.

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Pickl AI

OCTOBER 18, 2023

Player Recruitment and Draft Analytics Evaluating potential draft picks or player acquisitions by analyzing their performance data and comparing it to team needs. Game Simulation and Predictive Analytics Using predictive models to forecast game outcomes, player performance, and even fantasy sports outcomes.

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AWS Machine Learning Blog

SEPTEMBER 6, 2024

Generative artificial intelligence (AI) can be vital for marketing because it enables the creation of personalized content and optimizes ad targeting with predictive analytics. Dynamo DB stores the query and the session ID, which is then passed to a Lambda function as a DynamoDB event notification.

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Pickl AI

SEPTEMBER 24, 2024

Read More: Use of AI and Big Data Analytics to Manage Pandemics Overview of Uber’s Data Analytics Strategy Uber’s Data Analytics strategy is multifaceted, focusing on real-time data collection, predictive analytics, and Machine Learning.

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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. What is Descriptive Analytics?

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Pickl AI

OCTOBER 7, 2024

Climate Change Impacts Climate change is worsening water challenges in India by altering rainfall patterns and increasing extreme weather events like droughts and floods. By leveraging Machine Learning algorithms, predictive analytics, and real-time data processing, AI can enhance decision-making processes and streamline operations.

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IBM Journey to AI blog

NOVEMBER 30, 2023

Attend industry events: Participate in conferences, webinars, speaking engagements, award competitions and other events to establish a presence and engage with potential candidates. Monitor online reviews: Respond to reviews, whether positive or negative, to demonstrate a commitment to improving and addressing concerns.

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Pickl AI

FEBRUARY 21, 2023

Understanding the appropriate ways to use data remains critical to success in finance, education and commerce. Accordingly, data collection from numerous sources is essential before data analysis and interpretation. Why is Data Mining Important?

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Pickl AI

AUGUST 23, 2023

However, Data Science introduces a scientific approach by analyzing historical data, market sentiment, economic indicators, and other relevant factors. Predictive Analytics One of the most remarkable aspects of Data Science in stock market analysis is its predictive capabilities.

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Pickl AI

FEBRUARY 19, 2025

With the proper Data Analysis, businesses can reduce costs, increase profits, and provide better services. Types of Data Analytics Data Analytics includes different types, each serving a unique purpose. These types help businesses analyse data in various ways to solve problems and improve strategies.

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ODSC - Open Data Science

MARCH 11, 2024

You will also get invaluable insights by networking and connecting with hundreds of data science attendees, world-renowned instructors, industry experts, and dozens of top companies seeking the next wave of talent. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

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Pickl AI

OCTOBER 18, 2023

Data serves as the backbone of informed decision-making, and the accuracy, consistency, and reliability of data directly impact an organization’s operations, strategy, and overall performance. Informed Decision-making High-quality data empowers organizations to make informed decisions with confidence.

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