Towards AI

FEBRUARY 24, 2025

The education field undergoes significant transformation through AI-powered technologies like machine learning and natural language processing and predictive analytics which active learning spaces from standard classrooms.

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Flipboard

JUNE 17, 2025

Essential Skills for Solo AI Business TL;DR Key Takeaways : A strong understanding of AI fundamentals, including algorithms, neural networks, and natural language processing, is essential for creating effective AI solutions and making informed decisions. Learn about our Disclosure Policy.

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Data Science Dojo

MAY 23, 2024

Zendesk AI: Zendesk offers a range of AI-powered tools for customer service, including chatbots, natural language processing (NLP), sentiment analysis, and intelligent routing. It can analyze relevant customer data, knowledge articles, or trusted third-party sources to provide natural language responses on any channel.

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Data Science Connect

JULY 26, 2023

While these two concepts may seem unrelated at first glance, a recent article on MakeUseOf highlights the fascinating link between cybersecurity and sustainability. This article delves into the data-driven approach that showcases how cybersecurity measures can significantly contribute to achieving sustainability goals.

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Data Science Connect

JULY 24, 2023

From chatbots to predictive analytics, AI-powered solutions are transforming how businesses handle technical support challenges. In this article, we delve into the impact of AI on IT support and explore the benefits and challenges of this rapidly evolving technology.

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Data Science Dojo

APRIL 18, 2024

Imagine a computer program that’s a whiz with words, capable of understanding and using language in fascinating ways. Large language models are powerful AI-powered language tools trained on massive amounts of text data, like books, articles, and even code. That’s essentially what an LLM is!

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Flipboard

FEBRUARY 27, 2023

Optimized and accelerated ChatGPT can write a 700 word article in less than a minute. AI-driven content marketing strategies can help businesses improve their content creation and curation processes, personalize content for their audience, and optimize their content for search engines. Then you simply optimize and verify.

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Data Science Dojo

AUGUST 16, 2024

Impact on Data Analytics: Fraud Detection : In financial data, generative models can identify unusual transactions by learning what constitutes “normal” behavior and flagging deviations. The integration of generative AI enhances its capabilities in predictive analytics, natural language interaction, and automated data processing.

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Smart Data Collective

JULY 24, 2023

This article will delve into the transformative potential of AI in Vendor Management Systems, and how it’s setting the stage for a more strategic, intelligent, and efficient approach to procurement. Natural Language Processing (NLP) is another powerful tool, used to facilitate communication between humans and machines.

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Pickl AI

DECEMBER 26, 2024

This article delves into the unique capabilities of Ultracluster, its transformative role in AI research, and its potential to redefine industries across the globe. This capability accelerates innovation in Natural Language Processing, recommendation systems, and generative AI. How Does Ultracluster Benefit AI Research?

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Data Science Blog

FEBRUARY 23, 2023

Thus among fascinating deep learning topics, in this article I am going to pick up how to tackle lack of label or data themselves, and transfer learning. In this article I would first like to explain in the first place what it is like to lack data and next introduce representative techniques to tackle lack of labeled data.

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Towards AI

SEPTEMBER 9, 2024

Large Language Models (LLMs), natural language processing (NLP) systems, and predictive analytics all rely on vast amounts of data to function effectively. Artificial Intelligence (AI) has evolved from a niche field into a driving force behind some of today’s most impactful technologies.

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Data Science Connect

JULY 24, 2023

In this article, we explore how blockchain and AI are bridging the gap in the financial sector, empowering data scientists and finance professionals to build a more efficient and inclusive financial ecosystem. This dynamic duo promises to revolutionize the finance industry, offering transparency, security, and scalability like never before.

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Dataconomy

JANUARY 24, 2024

In this article, we will discuss some of the top AI service companies in Vietnam that are poised to make a significant impact in the industry by 2024. The company is renowned for its deep understanding of machine learning and natural language processing technologies, providing practical AI solutions tailored to businesses’ unique needs.

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Dataconomy

MARCH 27, 2023

Both have the potential to transform the way organizations operate, enabling them to streamline processes, improve efficiency, and drive business outcomes. In this article, we will explore the similarities and differences between RPA and ML and examine their potential use cases in various industries.

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Data Science Connect

JULY 24, 2023

The ambitious investment seeks to harness cutting-edge technology, including AI, data analytics, and advanced sensing systems, to enhance sustainability and resilience in these vital sectors. Precision agriculture, also known as smart farming, relies on data-driven technologies to tailor agricultural practices to specific field conditions.

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Data Science Connect

JULY 24, 2023

In this article, we explore the concept of Micro-SaaS and how it is moving beyond conventional solutions. Whether it’s data visualization, natural language processing, or predictive analytics, Micro-SaaS products are developed with a razor-sharp focus on providing the best-in-class solutions.

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ODSC - Open Data Science

MARCH 20, 2023

AI could use predictive analytics to relay more accurate demand forecasting based on incoming and historical data. An expansive AI data set could combine with the power of predictive analytics to simulate how a more agile supply chain operates. Article by Zachary Amos.

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Smart Data Collective

JULY 11, 2023

In one of our articles, we mentioned that many nurses have used AI to provide better services to their patients. Zara Abrams wrote a great article for the American Psychological Association about the benefits of AI in the mental health profession. The healthcare industry is among them.

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Towards AI

NOVEMBER 19, 2023

This allows the model to gradually improve at tasks such as image recognition, natural language processing, and predictive analytics. In this article, we will breakdown each concept in greater detail. We will explain intuitively what each one means and how it contributes to the deep learning process.

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Becoming Human

MAY 19, 2023

In this article, we’ll talk about AI in banking use cases to understand how the banking industry is leveraging AI to enhance its capabilities. Chatbots, along with conversational AI , can provide customer support, handle customer queries, and even process transactions. Chatathon by Chatbot Conference Top 6 AI in Banking Use Cases 1.

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IBM Journey to AI blog

JUNE 5, 2024

If, for instance, a development team wants to understand which app features most significantly impact retention, it might use AI-driven natural language processing (NLP) to analyze unstructured data. Predictive analytics. Predictive analytics are equally valuable for user insights.

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Smart Data Collective

SEPTEMBER 13, 2021

In this article, we will show you the use of the tools and the top reasons to hire Django developers to help you with big data integration. Hire Django web developers for big data integration since they provide tools, such as structural modeling and predictive analytics, for determining how a specific asset may adapt to the market changes.

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ODSC - Open Data Science

MARCH 8, 2024

This technology is optimizing clinical decision-making and healthcare services through applications such as predictive analytics, image recognition, and natural language processing. At its core, AI in healthcare leverages sophisticated algorithms to sift through and make sense of complex medical data.

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Dataconomy

FEBRUARY 24, 2023

In this article, we will explore the differences between AI and AU and explain why comparing these two concepts is meaningful for businesses. These tasks may include problem-solving, decision-making, language translation, and pattern recognition. While these two terms are often used interchangeably, they are fundamentally different.

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Towards AI

MARCH 21, 2023

In this article, I’ll share what I’ve learned, where hybrid systems can be used, and what benefits you get by introducing them to an ML pipeline. ML systems use the knowledge gained by being trained on large amounts of data to make predictions and decisions for new data.

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How to Learn Machine Learning

APRIL 4, 2025

In this short article we will deep dive into AI and the Future, and the trends that we will have this year related to it. Now, with the help of AI , we can generate images fast, align our day-to-day processes, and integrate with our software systems. Hello dear reader, hope you’re doing super well. So it back, relax, and enjoy!

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Dataconomy

MAY 25, 2023

AI algorithms can uncover hidden correlations within IoT data, enabling predictive analytics and proactive actions. With AI algorithms, IoT devices can process and interpret data in real-time, enabling accurate decision-making and actionable intelligence.

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ODSC - Open Data Science

SEPTEMBER 23, 2024

Several cities have started using natural language processing (NLP) to recognize and divert noncritical calls. Detecting Emerging Issues Predictive analytics takes AI’s benefits in the industry further. AI can help by fielding communication first. When that happens, the world will become a safer place.

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Dataconomy

MARCH 27, 2023

Both have the potential to transform the way organizations operate, enabling them to streamline processes, improve efficiency, and drive business outcomes. In this article, we will explore the similarities and differences between RPA and ML and examine their potential use cases in various industries.

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How to Learn Machine Learning

MAY 2, 2025

Text and NLP : Natural language processing tasks such as sentiment analysis, named entity recognition, and text classification are well-supported. Images and Computer Vision : The platform supports deep learning models for image classification, object detection, and segmentation using frameworks like TensorFlow and PyTorch.

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Pickl AI

OCTOBER 18, 2023

In this article, we delve into the significance of data quality, how organizations are leveraging various tools to enhance it, and the transformative power of Artificial Intelligence (AI) and Machine Learning (ML) in elevating data quality to new heights. – Predictive analytics to assess data quality issues before they become critical.

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Pickl AI

NOVEMBER 5, 2024

This article explores the definitions of Data Science and AI, their current applications, how they are shaping the future, challenges they present, future trends, and the skills required for careers in these fields. AI automates processes, reducing human error and operational costs.

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DagsHub

JULY 25, 2024

Libraries and Extensions: Includes torchvision for image processing, touchaudio for audio processing, and torchtext for NLP. Notable Use Cases PyTorch is extensively used in natural language processing (NLP), including applications like sentiment analysis, machine translation, and text generation.

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Pickl AI

OCTOBER 3, 2024

These assistants leverage advanced technologies such as Machine Learning and natural language processing to streamline the research process, making it more efficient and accessible. Natural Language Processing (NLP) Many AI Research Assistants use NLP to understand and interpret human language.

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How to Learn Machine Learning

APRIL 15, 2023

In this article, we will explore the ways in which AI is being used in the tourism industry and how it is changing the way we travel. These computer programs use natural language processing to understand and respond to customer inquiries. How AI is Used in the Tourism Industry 1.

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Pickl AI

AUGUST 23, 2023

Data Science, with its powerful tools and techniques, has revolutionized the stock market, enabling professionals to analyze vast amounts of data, predict market trends, and make more accurate investment choices. Predictive Analytics One of the most remarkable aspects of Data Science in stock market analysis is its predictive capabilities.

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