Data Science Connect

JULY 28, 2023

The ever-expanding Internet of Things (IoT) ecosystem is set to experience a monumental transformation as Artificial Intelligence (AI) steps into the picture. A recent article on Fagen Wasanni delves into the fascinating world of how AI is revolutionizing the IoT landscape.

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Data Science Connect

JULY 26, 2023

Environmentally-Friendly IoT Devices The Internet of Things (IoT) has the potential to revolutionize sustainability efforts. By securing the data involved in supply chain operations, data scientists contribute to sustainable procurement and resource management.

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Data Science Connect

JULY 24, 2023

With the USDA’s investment, data scientists can develop and deploy sophisticated sensors, drones, and Internet of Things (IoT) devices to monitor soil moisture, nutrient levels, and crop health.

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Data Science Connect

JULY 23, 2023

The automotive industry is on the brink of a technological revolution, powered by the seamless integration of the Internet of Things (IoT). This global transformation is set to redefine the future of transportation, as data-driven insights, connected vehicles, and smart infrastructure create a new era of mobility.

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AWS Machine Learning Blog

JANUARY 30, 2025

The team developed an innovative solution to streamline grant proposal review and evaluation by using the natural language processing (NLP) capabilities of Amazon Bedrock. The AWS Social Responsibility & Impact (SRI) team recognized an opportunity to augment this function using generative AI.

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Dataconomy

SEPTEMBER 4, 2023

It uses natural language processing (NLP) techniques to extract valuable insights from textual data. IoT analytics: IoT (Internet of Things) analytics deals with data generated by IoT devices, such as sensors, connected appliances, and industrial equipment.

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ODSC - Open Data Science

MARCH 20, 2023

AI can also work with Internet of Things (IoT) sensors to monitor green analytics throughout the chain. The more proficient AI gets at natural language processing (NLP), the more humanlike discussions become.

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Dataconomy

MAY 21, 2024

This efficiency also allows Small Language Models to process data locally, which enhances privacy and security for Internet of Things (IoT) edge devices and organizations with strict regulations, especially valuable for real-time response applications or settings with stringent resource limitations.

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Pickl AI

NOVEMBER 8, 2023

Python’s natural language processing capabilities further extend its reach, making it an indispensable tool driving innovation across diverse industries. Internet of Things (IoT) One of the key Python language applications is in the Internet of Things (IoT).

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Dataconomy

AUGUST 21, 2023

While it builds upon the foundation of the Internet of Things (IoT), which brought us connected devices, ambient computing takes this concept further. IoT devices communicate over the internet, but ambient computing takes technology beyond connectivity.

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Applied Data Science

JANUARY 4, 2022

Initially introduced for Natural Language Processing (NLP) applications like translation, this type of network was used in both Google’s BERT and OpenAI’s GPT-2 and GPT-3. Transformers taking the AI world by storm The family of artificial neural networks (ANNs) saw a new member being born in 2017, the Transformer.

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ODSC - Open Data Science

JANUARY 26, 2023

However, it is worth the time since it will deliver the most prominent benefit for whatever technology it informs — whether it’s natural language processing with a chatbot or AI in Internet of Things (IoT) tech. Trial and error of this phase in deep learning development can be time-consuming and expensive.

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Mlearning.ai

APRIL 10, 2023

Industrial Internet of Things (IIoT) The Constraints Within the area of Industry 4.0, Industrial internet of things (IIoT): opportunities, challenges, and requirements in manufacturing businesses in emerging economies. 3 feature visual representation of a K-means Algorithm. 4, center_box=(20, 5)) model = OPTICS().fit(x)

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Dataconomy

MAY 30, 2023

Applies to various domains, including natural language processing, computer vision, robotics, and autonomous systems. Focuses on reasoning, problem-solving, learning, and decision-making capabilities. Utilizes algorithms, machine learning, and data analytics to extract insights and make intelligent predictions.

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Pickl AI

JANUARY 3, 2024

Career Advancement: Professionals can enhance earning potential by acquiring in-demand skills like Natural Language Processing, Deep Learning, and relevant certifications aligned with industry needs. Geographic Variations: The average salary of a Machine Learning professional in India is ₹12,95,145 per annum. from 2023 to 2030.

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Pickl AI

SEPTEMBER 3, 2024

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. This process typically involves backpropagation and optimisation techniques.

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AWS Machine Learning Blog

APRIL 24, 2024

An AI assistant is an intelligent system that understands natural language queries and interacts with various tools, data sources, and APIs to perform tasks or retrieve information on behalf of the user.

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Mlearning.ai

JULY 21, 2023

We’ll highlight the emerging trends and innovations, such as autonomous delivery vehicles, drone delivery, and the Internet of Things (IoT). Furthermore, we’ll make predictions on the evolution of machine learning in the delivery industry, including advancements in natural language processing, computer vision, and predictive analytics.

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Pickl AI

AUGUST 1, 2024

This capability allows Deep Learning models to excel in tasks such as image and speech recognition, natural language processing, and more. Integration with Edge Computing The rise of Internet of Things (IoT) devices has created a demand for real-time processing and decision-making at the edge of networks.

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AssemblyAI

AUGUST 29, 2023

Conversation AI models are built using Natural Language Processing (NLP) , Machine Learning, Dialog Management, and Automatic Speech Recognition (ASR) processes and trained on large amounts of data, allowing the models to accurately recognize speech and text inputs and output believable imitations of human interactions.

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AWS Machine Learning Blog

JANUARY 13, 2023

At the application level, such as computer vision, natural language processing, and data mining, data scientists and engineers only need to write the model, data, and trainer in the same way as a standalone program and then pass it to the FedMLRunner object to complete all the processes, as shown in the following code.

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AWS Machine Learning Blog

OCTOBER 19, 2023

Amazon Comprehend is a natural language processing (NLP) service that uses ML to uncover insights and relationships in unstructured data, with no managing infrastructure or ML experience required. It provides functionality to locate various PII entity types within text, for example names or credit card numbers.

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How to Learn Machine Learning

DECEMBER 2, 2022

The technology increases diagnostic accuracy and monitors disease progression using Machine Learning, Natural Language Processing, and Neural Networks. The Internet of Things (IoT) will make use of AI in more ways than one. In cases of diseases like Dementia, early diagnosis is necessary for successful treatment.

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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. This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges.

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Pickl AI

SEPTEMBER 26, 2024

Natural Language Processing (NLP) NLP allows generative AI to understand and produce human language, facilitating applications like chatbots and automated content creation. The implications of generative AI are vast, with potential applications ranging from creative industries to healthcare and finance.

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Pickl AI

JULY 20, 2023

5. Text Analytics and Natural Language Processing (NLP) Projects: These projects involve analyzing unstructured text data, such as customer reviews, social media posts, emails, and news articles. To ascertain the general sentiment and deal with any potential problems, use natural language processing (NLP) tools.

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IBM Journey to AI blog

JULY 11, 2024

AI allows businesses to process large amounts of data in real time, anticipate market trends, optimize logistics, and perform routing and scheduling based on changing conditions. And with the advent of AI systems capable of natural language processing, businesses can gain deeper insights from unstructured data.

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Heartbeat

OCTOBER 23, 2023

Natural Language Processing (NLP) and Text Mining: Healthcare data includes vast amounts of unstructured information in clinical notes, research articles, and patient narratives. Data scientists and machine learning engineers employ NLP techniques and text-mining algorithms to process and analyze this textual data.

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Heartbeat

JUNE 28, 2023

Small-size IoT (Internet of Things) devices and light machine learning models are becoming increasingly popular due to the growing demand for connected devices and intelligent automation in various industries. In this article, you can learn how distillation can be applied to ALBERT to reduce its size and improve its efficiency.

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Pickl AI

DECEMBER 2, 2024

Internet of Things (IoT): Devices such as sensors, smart appliances, and wearables continuously collect and transmit data. Transactional Systems : Businesses gather data from sales transactions, customer interactions, and operational processes.

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Pickl AI

NOVEMBER 25, 2024

Internet of Things (IoT): Devices such as sensors, smart appliances, and wearables continuously collect and transmit data. Transactional Systems : Businesses gather data from sales transactions, customer interactions, and operational processes.

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Pickl AI

SEPTEMBER 17, 2024

Summary : AI is transforming the cybersecurity landscape by enabling advanced threat detection, automating security processes, and adapting to new threats. It leverages Machine Learning, natural language processing, and predictive analytics to identify malicious activities, streamline incident response, and optimise security measures.

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

They have deep end-to-end ML and natural language processing (NLP) expertise and data science skills, and massive data labeler and editor teams. Heiko Hotz is a Senior Solutions Architect for AI & Machine Learning with a special focus on natural language processing, large language models, and generative AI.

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Pickl AI

JULY 14, 2023

Moreover, Deep Learning models, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), achieved remarkable breakthroughs in image classification, natural language processing, and other domains.

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ML Review

FEBRUARY 26, 2018

Technology companies such as Google, Facebook, Microsoft, Amazon and Apple are at the forefront of personalized interactive products where intelligent human-computer interactions (IHCI) technology will continue to play a central role in automated messaging, task assistance and the Internet of Things.

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IBM Journey to AI blog

JULY 11, 2024

AI allows businesses to process large amounts of data in real time, anticipate market trends, optimize logistics, and perform routing and scheduling based on changing conditions. And with the advent of AI systems capable of natural language processing, businesses can gain deeper insights from unstructured data.

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Pickl AI

JANUARY 16, 2024

IoT Data Analyst Analysing data generated by Internet of Things (IoT) devices, extracting meaningful patterns and trends for improved efficiency and decision-making. billion 15.60% NLP (Natural Language Processing) Unlocking unstructured data potential. Value in 2021 – $1.12 billion 26.4%

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