Pickl AI

APRIL 17, 2023

How can a DevOps team take advantage of Artificial Intelligence (AI)? The application of Artificial Intelligence (AI) in DevOps in recent years has increasingly become more popularised because of its ability to automate processes. So now, how can a DevOps team take advantage of Artificial Intelligence (AI)?

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Data Science Dojo

MAY 16, 2024

Now that artificial intelligence is equipped with generative capabilities, the potential for enhancing project management processes has expanded significantly, promising to revolutionize project outcomes and strategic planning by enhancing efficiency and decision-making capabilities. The numbers are showing that it already has!

AI 195

AI AI Predictive Analytics Data Analysis 195

Analytics Vidhya

MARCH 27, 2023

Introduction Could the American recession of 2008-10 have been avoided if machine learning and artificial intelligence had been used to anticipate the stock market, identify hazards, or uncover fraud? The recent advancements in the banking and finance sector suggest an affirmative response to this question.

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Dataconomy

MAY 25, 2023

The integration of artificial intelligence in Internet of Things introduces new dimensions of efficiency, automation, and intelligence to our daily lives. Simultaneously, artificial intelligence has revolutionized the way machines learn, reason, and make decisions.

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Dataconomy

APRIL 22, 2024

Corporate finance is undergoing a seismic shift, propelled by rapid artificial intelligence (AI) advancements. Processes like data entry, transaction reconciliation, and compliance reporting, traditionally requiring extensive human effort, can now be executed swiftly and accurately by AI-powered systems.

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Analytics Vidhya

APRIL 17, 2023

Let’s start etymologically; machine learning (ML) is a subset of artificial intelligence (AI) that trains systems to apply specific solutions rather than providing the solution itself. Introduction In the words of Nick Bostrom, “Machine learning is the last invention that humanity will ever need to make.”

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Dataconomy

JUNE 13, 2023

In this era of information overload, utilizing the power of data and technology has become paramount to drive effective decision-making. Decision intelligence is an innovative approach that blends the realms of data analysis, artificial intelligence, and human judgment to empower businesses with actionable insights.

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Data Science Connect

JULY 24, 2023

Through data analysis of fan preferences, social media interactions, and feedback, teams can tailor marketing campaigns and promotional activities. The Role of Artificial Intelligence The intersection of sports analytics and artificial intelligence (AI) is a match made in data heaven.

Data Science 100

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Pickl AI

JANUARY 29, 2024

Join me on this journey as we unravel the intricacies of 2024’s tech revolution, exploring the realms of data, intelligence, and the opportunity for growth, including a special mention of a free Machine Learning course. Data Science enhances ML accuracy through preprocessing and feature engineering expertise.

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Smart Data Collective

MAY 13, 2022

Various applications, from web-based smart assistants to self-driving cars and house-cleaning robots, run with the help of artificial intelligence (AI). With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools.

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Analytics Vidhya

MARCH 9, 2023

Introduction Machine learning is a powerful tool for digital marketing that uses data analysis to predict consumer behavior and improve marketing campaigns.

Machine Learning 261

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Data Science Connect

JULY 26, 2023

Data-Driven Approaches to Cybersecurity and Sustainability Data scientists play a critical role in harnessing the power of data to improve both cybersecurity and sustainability efforts. This approach ensures that cybersecurity efforts not only protect data but also contribute to sustainable practices.

Data Scientist 130

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Dataconomy

DECEMBER 8, 2023

In the modern business landscape, Artificial Intelligence (AI) is transforming how companies operate. AI’s application in business ranges from automating routine tasks to providing advanced analytics for informed decision-making. This allows employees to focus on more strategic tasks.

AI 113

AI AI Artificial Intelligence Artificial Intelligence 113

Dataconomy

MAY 17, 2023

Welcome to the exciting world of artificial intelligence in sales! These systems are designed to analyze vast amounts of data, learn from patterns and interactions, and make informed decisions or predictions. In this comprehensive blog post, we will delve into the fascinating world of artificial intelligence in sales.

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Dataconomy

JANUARY 24, 2024

In the upcoming years, Vietnam is projected to identify itself as a significant hub for artificial intelligence (AI) development. Their AI services encompass machine learning, predictive analytics, chatbots, and cognitive computing.

AI 113

AI AI Predictive Analytics Machine Learning 113

Smart Data Collective

JUNE 8, 2023

We have talked extensively about the many industries that have been impacted by big data. many of our articles have centered around the role that data analytics and artificial intelligence has played in the financial sector. However, many other industries have also been affected by advances in big data technology.

Analytics 83

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Dataconomy

FEBRUARY 24, 2023

Data-driven decision making is becoming more critical than ever before, and two technologies that have captured the imagination of businesses worldwide are artificial intelligence (AI) and augmented intelligence (AU). This can help them to stay ahead of the competition in an increasingly data-driven business landscape.

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Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Let’s dive into the key elements that make up the fascinating world of Data Intelligence.

Data Analysis 52

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Dataconomy

JULY 18, 2023

By leveraging artificial intelligence algorithms and data analytics, manufacturers can streamline their quoting process, improve accuracy, and gain a competitive edge in the market. AI algorithms can handle data analysis, cost estimation, and other calculations with speed and accuracy.

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Becoming Human

JUNE 14, 2023

AI in Healthcare — Innovative use cases & Applications Artificial Intelligence (AI) has emerged as a groundbreaking technology transforming numerous industries, and healthcare is no exception. Artificial intelligence (AI) has significantly impacted the healthcare industry, transforming healthcare delivery and monitoring.

AI 75

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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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Dataconomy

OCTOBER 18, 2023

With the rise of artificial intelligence and machine learning, we can expect to see even more advanced features and capabilities in the future. Artificial intelligence and machine learning are set to revolutionize retail merchandising software.

Artificial Intelligence 103

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Women in Big Data

APRIL 17, 2024

His expertise in Artificial Intelligence and Machine Learning and engaging teaching style made the workshop an enriching experience. Exploratory Data Analysis (EDA): We unpacked the importance of EDA, the process of uncovering patterns and relationships within your data. A Big Thank You to Professor Gudigantala !

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ODSC - Open Data Science

AUGUST 9, 2023

This article delves into the transformative power of artificial intelligence (AI) across a broad spectrum of industries, including retail, e-commerce, fintech, and power systems. As shown by IBM and Amazon, AI’s role in supply chain management is significant, with predictive analytics and automation reducing costs and delivery times.

AI 52

AI AI Data Science Artificial Intelligence 52

Defined.ai blog

AUGUST 10, 2023

Welcome to the world of financial data, where every digit has a story to tell, and Artificial Intelligence (AI) assumes the role of a compelling storyteller. With more companies shifting towards data-driven decision-making, understanding financial data and leveraging AI’s power has never been more crucial.

Business Intelligence 52

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Dataconomy

FEBRUARY 6, 2024

Artificial intelligence and machine learning are no longer the elements of science fiction; they’re the realities of today. With the ability to analyze a vast amount of data in real-time, identify patterns, and detect anomalies, AI/ML-powered tools are enhancing the operational efficiency of businesses in the IT sector.

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Pickl AI

NOVEMBER 3, 2023

Discover how Artificial Intelligence (AI) is altering the stock trading sector. How AI is Transforming Stock Trading Artificial Intelligence (AI) is quietly yet significantly causing transformation in the financial sector, where every second matters and market dynamics shift rapidly. By integrating into stock trading.

AI 52

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Pickl AI

OCTOBER 18, 2023

The Latest Trends in Sports Analytics As we move towards a technology-rich world, every spectrum of life seems to be impacted by its force. Among the different areas witnessing a mirage effect of artificial intelligence, sports is also a niche that can undergo a significant transformation with the implementation of analytics technology.

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Towards AI

JUNE 27, 2023

In the rapidly expanding field of artificial intelligence (AI), machine learning tools play an instrumental role. Scikit Learn Scikit Learn is a comprehensive machine learning tool designed for data mining and large-scale unstructured data analysis.

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Machine Learning Machine Learning ML ML 96

Defined.ai blog

AUGUST 23, 2023

Building artificial intelligence (AI) is akin to piecing together an intricate puzzle. Every piece of data adds to the picture, providing insights that can lead to innovation and efficiency. Among these puzzle pieces, marketing data stands out as a valuable component.

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Towards AI

MARCH 12, 2024

One powerful tool that can help them achieve this is Artificial Intelligence (AI). Data analysis: AI tools can analyze vast amounts of data to identify trends, predict customer behavior, and inform strategic decision-making. Overwhelmed by all these choices?

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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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Pickl AI

OCTOBER 18, 2023

However, the mere accumulation of data is not enough; ensuring data quality is paramount. The Significance of Data Quality Before we dive into the realm of AI and ML, it’s crucial to understand why data quality holds such immense importance. – ML-driven access control and data privacy enforcement.

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Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade.

Business Intelligence 102

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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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Smart Data Collective

JULY 1, 2019

Two significant applications really stand out the most: Big data is used extensively in criminal justice research. The majority of modern studies on criminal justice topics rely heavily on data analysis. There is no dispute about the significant impact that big data is having on the criminal justice system.

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IBM Journey to AI blog

JUNE 29, 2023

Sensors collect data in real-time that is then fed into an enterprise asset management (EAM) or computerized maintenance management system (CMMS), where AI-enhanced data analysis tools and processes like machine learning (ML) spot issues and help resolve them.

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