AWS Machine Learning Blog

FEBRUARY 6, 2025

His career has focused on natural language processing, and he has experience applying machine learning solutions to various domains, from healthcare to social media. Ornela specializes in natural language processing, predictive analytics, and MLOps, and holds a Masters of Science in Statistics.

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AWS Machine Learning Blog

JANUARY 30, 2025

His career has focused on natural language processing, and he has experience applying machine learning solutions to various domains, from healthcare to social media. Ornela specializes in natural language processing, predictive analytics, and MLOps, and holds a Masters of Science in Statistics.

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AWS Machine Learning Blog

APRIL 4, 2025

To achieve this, Lumi developed a classification model based on BERT (Bidirectional Encoder Representations from Transformers) , a state-of-the-art natural language processing (NLP) technique. They fine-tuned this model using their proprietary dataset and in-house data science expertise. Resources Learn more about Lumi.

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Data Science Dojo

APRIL 18, 2024

As LLMs continue to learn and grow, they’re poised to be a game-changer in the world of language and artificial intelligence. This blog aims to provide in-depth guidance in your journey to understand large language models. The same holds for its role and support in large language models.

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Flipboard

FEBRUARY 27, 2023

This can include using chatbots to create content for FAQs, or using natural language processing (NLP) to generate articles, social media posts, and other content. The post An AI Text Generator will Revolutionize Your Content Marketing appeared first on Jeffbullas's Blog.

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Mlearning.ai

MARCH 7, 2023

In this blog post, we will discuss the strategies and best practices for AI-powered Flutter mobile app development. AI-powered Flutter mobile app development involves the integration of AI technologies like natural language processing (NLP), predictive analytics, and machine learning (ML) with the Flutter mobile app development framework.

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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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IBM Journey to AI blog

AUGUST 12, 2024

AIOps processes harness big data to facilitate predictive analytics , automate responses and insight generation and ultimately, optimize the performance of enterprise IT environments. Explore IBM Turbonomic The post AIOps vs. MLOps: Harnessing big data for “smarter” ITOPs appeared first on IBM Blog.

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IBM Journey to AI blog

FEBRUARY 12, 2024

Chatbots using generative AI and natural language processing will encourage more customers to use self-service tools for their simplest problems. AI will power predictive analytics that will help organizations understand better when customers may have an issue or when it would be an opportune time to reach out to them.

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Data Science Blog

FEBRUARY 23, 2023

This characteristic is clearly observed in models in natural language processing (NLP) and computer vision (CV) like in the graphs below. The post How to tackle lack of data: an overview on transfer learning appeared first on Data Science Blog. In other words, machine learning has scalability with data and parameters.

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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. Artificial intelligence is revolutionizing the way sales teams operate and driving significant transformations in the sales process. How is artificial intelligence used in sales?

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IBM Journey to AI blog

JANUARY 12, 2024

The advantages of AI are numerous and impactful, from predictive analytics that refine strategies, to natural language processing that fuels customer interactions and assists users in their daily tasks, to assistive tools that enhance accessibility, communication and independence for people with disabilities.

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IBM Journey to AI blog

SEPTEMBER 6, 2023

AI marketing is the process of using AI capabilities like data collection, data-driven analysis, natural language processing (NLP) and machine learning (ML) to deliver customer insights and automate critical marketing decisions. What is AI marketing?

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IBM Journey to AI blog

DECEMBER 20, 2023

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences. Regression algorithms —predict output values by identifying linear relationships between real or continuous values (e.g.,

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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. This blog explores how Airbnb utilises Big Data and Machine Learning to provide exceptional service, enhance user experience, and maintain trust and safety.

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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

MARCH 19, 2024

Below are some ways that AI is enhancing the recruitment process across its workflow, from discovering hiring needs to attracting, courting, onboarding and retaining top talent. Chatbots can also administer quizzes or skills assessments to evaluate a candidate’s knowledge, skills or problem-solving capabilities.

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Pickl AI

SEPTEMBER 3, 2024

This blog explores their core components, responsibilities, and applications across various industries. Here are some core responsibilities and applications of ANNs: Pattern Recognition ANNs excel in recognising patterns within data , making them ideal for tasks such as image recognition, speech recognition, and natural language processing.

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Pickl AI

OCTOBER 25, 2023

In this blog, our focus will revolve around Big Data and Artificial Intelligence. They can identify patterns, make predictions, and adapt to changing circumstances. Natural Language Processing AI technologies, like Natural Language Processing (NLP), enable computers to understand, interpret, and generate human language.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.

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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. With millions of rides completed daily across numerous cities worldwide, Uber’s ability to optimise its supply chain and improve customer experiences hinges on its sophisticated Data Analytics strategies.

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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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Chatbots Life

AUGUST 28, 2024

Agent Coaching / Performance Enhancement Proactive Customer Engagement Sentiment Analysis Continuous Learning Seamless Omnichannel Integration Personalization in Self-Service Compliance and Quality Assurance Predictive Analytics Knowledge Sharing Multilingual Support Let us begin this list with the very first reason: Agent coaching.

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Pickl AI

DECEMBER 16, 2024

Summary: AI is revolutionising procurement by automating processes, enhancing decision-making, and improving supplier relationships. The future promises increased automation and predictive analytics, enabling organisations to optimise procurement strategies while driving sustainability and compliance in their supply chains.

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AWS Machine Learning Blog

JANUARY 30, 2023

From image and speech recognition to natural language processing and predictive analytics, ML models have been applied to a wide range of problems. Problem statement Machine learning has become an essential tool for extracting insights from large amounts of data.

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IBM Journey to AI blog

JULY 11, 2023

AI technologies like natural language processing (NLP), predictive analytics and speech recognition can lead to healthcare providers having more effective communication with patients, which can lead to better patient experience, care and outcomes.

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Pickl AI

APRIL 9, 2025

This blog post aims to demystify these powerful concepts. AI Drives Automation and Efficiency : Improves processes across industries. DL Enhances Predictive Analytics: Excels in image and speech recognition tasks. Language Understanding: Processing and interpreting human language (Natural Language Processing – NLP).

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IBM Journey to AI blog

JULY 17, 2023

In this blog, I will cover: What is watsonx.ai? This allows users to accomplish different Natural Language Processing (NLP) functional tasks and take advantage of IBM vetted pre-trained open-source foundation models. Encoder-decoder and decoder-only large language models are available in the Prompt Lab today.

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Pickl AI

AUGUST 1, 2024

This blog covers their job roles, essential tools and frameworks, diverse applications, challenges faced in the field, and future directions, highlighting their critical contributions to the advancement of Artificial Intelligence and machine learning. How Does Deep Learning Differ from Traditional Machine Learning?

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phData

MAY 28, 2024

Cortex offers a collection of ready-to-use models for common use cases, with capabilities broken into two categories: Cortex LLM functions provide Generative AI capabilities for natural language processing, including completion (prompting) , translation, summarization, sentiment analysis , and vector embeddings.

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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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Pickl AI

APRIL 2, 2024

Summary This blog post demystifies data science for business leaders. This blog post serves as a cheat sheet for business leaders, providing a high-level understanding of data science, its applications, and how to leverage it for success. Key Concepts Descriptive Analytics: Examining past data to understand what happened.

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Pickl AI

OCTOBER 9, 2024

This blog aims to explore the various ways MakeMyTrip utilises data science to improve its operations and enhance customer experiences. In the context of the travel industry, data science enables companies to understand customer behaviour, optimise pricing strategies, and enhance service delivery through predictive analytics.

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How to Learn Machine Learning

JUNE 21, 2024

This blog post sheds light on how AI enhances digital assurance. It uses natural language processing (NLP) and AI systems to parse and interpret complex software documentation and user stories, converting them into executable test cases. This is causing risks in software reliability and performance.

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Pickl AI

OCTOBER 21, 2024

According to a report by Statista, the global market for Machine Learning is projected to reach $117 billion by 2027, highlighting the importance of probabilistic models like Markov Chains in predictive analytics. Have you ever wondered how Google predicts what you want to type next or how Netflix recommends your next binge-watch?

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Pickl AI

DECEMBER 16, 2024

Summary: AI in Time Series Forecasting revolutionizes predictive analytics by leveraging advanced algorithms to identify patterns and trends in temporal data. By automating complex forecasting processes, AI significantly improves accuracy and efficiency in various applications. billion by 2030.

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Pickl AI

SEPTEMBER 16, 2024

Summary: This blog highlights ten crucial Machine Learning algorithms to know in 2024, including linear regression, decision trees, and reinforcement learning. The network is trained using backpropagation to minimise the error between predicted and actual outputs. Applications Image Recognition: Identifying objects in images.

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