Data Science Dojo

MAY 16, 2024

In this blog, we will paint a clearer picture as to how will generative AI change the current landscape of AI project management. Analyzing Project Risks: Utilizing historical data and predictive analytics, AI can identify patterns and trends that may pose future risks.

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Pickl AI

AUGUST 27, 2024

Summary: Python simplicity, extensive libraries like Pandas and Scikit-learn, and strong community support make it a powerhouse in Data Analysis. It excels in data cleaning, visualisation, statistical analysis, and Machine Learning, making it a must-know tool for Data Analysts and scientists. Why Python?

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Data Science Dojo

SEPTEMBER 25, 2024

In this blog, we will explore the impact of AI on media production, analyzing how it benefits the people working within this industry and the audiences. Better Decision-Making AI enhances business decision-making by analyzing extensive data for valuable insights. What is Media Production?

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Data Science Dojo

MAY 7, 2024

In this blog, we will learn more about the no-code AI tools that focus on enhancing the work of software developers. These primarily deal with tasks like chatbots, image recognition, or data analysis. Moreover, they offer multiple integrations to connect your data with other software without manual work.

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Pickl AI

DECEMBER 14, 2023

The blog delves into their applications, emphasizing real-world examples in healthcare, finance, retail, and technology. From predicting patient outcomes to optimizing inventory management, these techniques empower decision-makers to navigate data landscapes confidently, fostering informed and strategic decision-making.

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Smart Data Collective

OCTOBER 13, 2021

There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. This is something that you can learn more about in just about any technology blog. We would like to talk about data visualization and its role in the big data movement.

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Data Science Dojo

SEPTEMBER 5, 2024

While data science leverages vast datasets to extract actionable insights, computer science forms the backbone of software development, cybersecurity, and artificial intelligence. This blog aims to answer the data science vs computer science confusion, providing insights to help readers decide which field to pursue.

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Data Science Dojo

SEPTEMBER 5, 2024

While data science leverages vast datasets to extract actionable insights, computer science forms the backbone of software development, cybersecurity, and artificial intelligence. This blog aims to answer the data science vs computer science confusion, providing insights to help readers decide which field to pursue.

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Data Science Blog

NOVEMBER 15, 2023

The lower part of the iceberg is barely visible to the normal analyst on the tool interface, but is essential for implementation and success: this is the Event Log as the data basis for graph and data analysis in Process Mining. The creation of this data model requires the data connection to the source system (e.g.

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Data Science Blog

FEBRUARY 23, 2023

And importantly, starting naively annotating data might become a quick solution rather than thinking about how to make uses of limited labels if extracting data itself is easy and does not cost so much. The post How to tackle lack of data: an overview on transfer learning appeared first on Data Science Blog.

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Smart Data Collective

SEPTEMBER 28, 2022

Data engineering services can analyze large amounts of data and identify trends that would otherwise be missed. If you’re looking for ways to increase your profits and improve customer satisfaction, then you should consider investing in a data management solution. Conclusion.

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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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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. appeared first on IBM Blog.

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IBM Journey to AI blog

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. Organizations can expect to reap the following benefits from implementing OLAP solutions, including the following.

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IBM Journey to AI blog

JUNE 14, 2023

The IIoT not only allows internet-connected smart assets to communicate and share diagnostic data, enabling instantaneous system and asset comparisons, but it also helps manufacturers make more informed decisions about the entire mass production operation. Enable on-demand manufacturing to streamline inventory management processes.

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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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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. It identifies emerging roles, such as AI Ethicist and Healthcare Data Analyst, reflecting the diverse applications of Data Analysis.

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Pickl AI

JUNE 25, 2023

From small start-ups to multinational corporations, companies across the globe are leveraging the power of analytics to drive productivity, optimize their operations and make informed decisions. In this blog, we are going to unfold the role of business analytics with examples and its scope in the future.

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Towards AI

MARCH 12, 2024

This blog post explores the benefits and considerations of incorporating AI into your business strategy, along with AI platforms and tools like Salesforce, monday.com, Thryv, Pipedrive, Zoho, Freshsales, Zendesk, Freshdesk, RingCentral for customer support, accounting, CRMs, and more. Ask: where can AI offer the most significant value?

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Pickl AI

SEPTEMBER 12, 2024

Summary: This blog explores how Airbnb utilises Big Data and Machine Learning to provide world-class service. It covers data collection and analysis, enhancing user experience, improving safety, real-world applications, challenges, and future trends.

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Pickl AI

JUNE 4, 2024

Fortunately, a powerful tool sits at our disposal: Data Analytics. By harnessing the vast amount of data generated in the energy sector, we can unlock a new era of sustainable energy solutions. This blog delves into the transformative potential of Data Analytics in building a clean energy future.

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Data Science Blog

OCTOBER 20, 2024

Additionally, it allows for quick implementation without the need for complex calculations or data analysis, making it a convenient choice for organizations looking for a simple attribution method. 0278937 The post Data-driven Attribution Modeling appeared first on Data Science Blog. PLoS ONE 18(1): e0278937.

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Pickl AI

SEPTEMBER 13, 2024

Summary: This blog examines the role of AI and Big Data Analytics in managing pandemics. It covers early detection, data-driven decision-making, healthcare responses, public health communication, and case studies from COVID-19, Ebola, and Zika outbreaks, highlighting emerging technologies and ethical considerations.

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Pickl AI

SEPTEMBER 25, 2024

Summary: This blog delves into 20 Deep Learning applications that are revolutionising various industries in 2024. This blog explores 20 significant applications of Deep Learning across various sectors, highlighting their transformative impact. Discover how this powerful AI technology is shaping the future of business and society.

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IBM Journey to AI blog

SEPTEMBER 6, 2023

From customized content creation to task automation and data analysis, AI has seemingly endless applications when it comes to marketing, but also some potential risks. More meaningful insights from customer data: Today, many marketers struggle with the sheer amount of data available to them when they’re planning a campaign.

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Pickl AI

DECEMBER 16, 2024

Key applications include spend analysis, supplier management, and contract automation. The future promises increased automation and predictive analytics, enabling organisations to optimise procurement strategies while driving sustainability and compliance in their supply chains. What is AI in Procurement?

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Pickl AI

NOVEMBER 19, 2024

This blog explores key benefits, real-world examples, and trends that are shaping the future of AI in project management. In this blog, we will explore the key benefits of AI in project management, the tools available, and the trends shaping the future of this field. Predictive analytics help identify risks before they escalate.

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IBM Journey to AI blog

DECEMBER 20, 2023

For instance, if data scientists were building a model for tornado forecasting, the input variables might include date, location, temperature, wind flow patterns and more, and the output would be the actual tornado activity recorded for those days. AI studio The post Five machine learning types to know appeared first on IBM Blog.

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Defined.ai blog

AUGUST 10, 2023

Businesses must understand how to implement AI in their analysis to reap the full benefits of this technology. In the following sections, we will explore how AI shapes the world of financial data analysis and address potential challenges and solutions.

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IBM Journey to AI blog

JUNE 29, 2023

By having real-time data at their fingertips, decision-makers can adjust their strategies, allocate resources accordingly, and capitalize on the unexpected spike in demand, ensuring customer satisfaction while maximizing revenue. appeared first on IBM Blog. Request a live demo The post What is Integrated Business Planning (IBP)?

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Pickl AI

OCTOBER 25, 2023

Although we talk about AI and Big Data at the same length, there is an underlying difference between the two. In this blog, our focus will revolve around Big Data and Artificial Intelligence. The quality of input data greatly influences the effectiveness of AI models. What Are The Benefits of AI in Data Analysis?

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IBM Journey to AI blog

JUNE 2, 2023

With the power of AI and machine learning, financial institutions can leverage predictive analytics, anomaly detection and shared learning models to enhance system stability, detect fraud and drive superior customer-centric experiences.

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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. ” This notion underscores the pivotal role of data in today’s dynamic landscape. What is Data Intelligence in Data Science?

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Dataconomy

MAY 17, 2023

In this comprehensive blog post, we will delve into the fascinating world of artificial intelligence in sales. Harnessing AI for predictive sales analytics: AI-driven predictive analytics models leverage historical data, market trends, and external factors to forecast sales outcomes accurately.

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Defined.ai blog

AUGUST 23, 2023

Learn more about this dataset in our previous blog post. It’s also essential to mention that the collection and usage of such data come with ethical considerations. Companies must ensure user consent before collecting data, respect user privacy, and adhere to all data protection regulations.

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Pickl AI

JUNE 12, 2023

Tableau can help Data Scientists generate graphs, charts, maps and data-driven stories, etc for purpose of visualisation and analysing data. But What is Tableau for Data Science and what are its advantages and disadvantages? Let’s read the blog to find out! How Professionals Can Use Tableau for Data Science?

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Pickl AI

SEPTEMBER 24, 2024

Summary: This blog explores Uber’s innovative use of Data Analytics to improve supply efficiency and service quality. Learn how data-driven insights shape Uber’s operations and customer experiences. Predictive Analytics : By utilising historical data, Uber can forecast future demand trends.

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