Pickl AI

JANUARY 3, 2024

Summary: The Machine Learning job market in 2024 is witnessing unprecedented growth, with a focus on India’s competitive landscape. As the market evolves, continuous learning and adaptability are crucial for success in this dynamic field. In 2024, the significance of Machine Learning (ML) cannot be overstated.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Deep Learning 52

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. As data scientists, understanding this transformative synergy between AI and IoT is essential to unlock new possibilities in connectivity, data analysis, and decision-making.

AI 130

AI AI Internet of Things Data Scientist 130

Towards AI

FEBRUARY 15, 2024

AI has proven to be a boon for the modern world, with applications across tech innovations like IoT (Internet of Things), AR/VR, robotics, and more. In order to have a good knowledge of data science, statistics, machine learning, and mathematics, AI engineers also need to be very skilled programmers.

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Data Science Connect

JULY 24, 2023

With the increasing challenges posed by climate change, farmers are seeking data-driven solutions to optimize resource management, enhance crop yields, and mitigate environmental impacts. Data scientists play a pivotal role in designing and implementing advanced climate data systems.

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Data Scientist Internet of Things Predictive Analytics Analytics 130

IBM Journey to AI blog

JUNE 14, 2023

An innovative application of the Industrial Internet of Things (IIoT), SM systems rely on the use of high-tech sensors to collect vital performance and health data from an organization’s critical assets. What’s the biggest challenge manufacturers face right now?

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Internet of Things Cloud Computing Predictive Analytics Analytics 91

AWS Machine Learning Blog

MARCH 19, 2024

In the evolving landscape of manufacturing, the transformative power of AI and machine learning (ML) is evident, driving a digital revolution that streamlines operations and boosts productivity. However, this progress introduces unique challenges for enterprises navigating data-driven solutions. a challenge-level question).

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AI AI AWS Python 137

Pickl AI

NOVEMBER 8, 2023

Python’s data analysis and visualization libraries, such as Pandas and Matplotlib, empower Data Scientists and analysts to derive valuable insights. It excels in Machine Learning and Artificial Intelligence with libraries like TensorFlow and Scikit-learn.

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Python Data Analysis Data Analysis Internet of Things 52

IBM Journey to AI blog

MAY 31, 2023

Sensors collect data in real-time, and it is fed into AI-enabled enterprise asset management (EAM) , computerized maintenance management systems (CMMS) and other maintenance software. Through these types of software, advanced data analysis tools and processes like machine learning (ML) can identify, detect and address issues as they occur.

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Internet of Things Machine Learning Machine Learning Artificial Intelligence 111

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.

Data Scientist 130

Data Scientist Internet of Things Analytics Analytics 130

Mlearning.ai

APRIL 10, 2023

How this machine learning model has become a sustainable and reliable solution for edge devices in an industrial network An Introduction Clustering (cluster analysis - CA) and classification are two important tasks that occur in our daily lives. Thus, this type of task is very important for exploratory data analysis.

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Clustering Internet of Things Algorithm Machine Learning 52

Dataconomy

JULY 14, 2023

This is the future of M2M, and it’s all made possible by machine learning. Machine learning is the science of teaching computers to learn on their own. By feeding computers large amounts of data, machine learning algorithms can learn to identify patterns and make predictions.

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Cloud Computing Machine Learning Machine Learning Internet of Things 91

Dataconomy

MARCH 28, 2023

The emergence of the Internet of Things (IoT) has led to the proliferation of connected devices and sensors that generate vast amounts of data. This data is a goldmine of insights that can be harnessed to optimize various systems and processes. What is an IoT ecosystem? What is an IoT ecosystem diagram?

Data Science 70

Data Science Internet of Things Analytics Analytics 70

Dataconomy

MARCH 28, 2023

The emergence of the Internet of Things (IoT) has led to the proliferation of connected devices and sensors that generate vast amounts of data. This data is a goldmine of insights that can be harnessed to optimize various systems and processes. What is an IoT ecosystem? What is an IoT ecosystem diagram?

Data Science 70

Data Science Internet of Things Analytics Analytics 70

The MLOps Blog

FEBRUARY 5, 2023

We will also get familiar with tools that can help record this data and further analyse it. In the later part of this article, we will discuss its importance and how we can use machine learning for streaming data analysis with the help of a hands-on example. What is streaming data?

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Machine Learning Machine Learning Data Pipeline Apache Kafka 72

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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Data Analyst Data Analysis Data Analysis Analytics 52

Heartbeat

OCTOBER 23, 2023

Revolutionizing Healthcare through Data Science and Machine Learning Image by Cai Fang on Unsplash Introduction In the digital transformation era, healthcare is experiencing a paradigm shift driven by integrating data science, machine learning, and information technology.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Big Data Analytics 52

Pickl AI

JUNE 18, 2024

Summary: This blog dives into the most promising Power BI projects, exploring advanced data visualization, AI integration, IoT & blockchain analytics, and emerging technologies. Discover best practices for successful implementation and propel your organization towards data-driven success.

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Power BI Data Analysis Data Analysis Data Visualization 52

IBM Journey to AI blog

MARCH 8, 2024

As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially. Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer.

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Dataconomy

AUGUST 11, 2023

This phase often begins with data cleansing, where any noise or irrelevant information is filtered out. Following this, the data may undergo transformation and loading into an analytics system where advanced algorithms, possibly incorporating artificial intelligence and machine learning, are applied.

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Internet of Things Machine Learning Machine Learning Analytics 91

Pickl AI

SEPTEMBER 13, 2024

By harnessing Big Data Analytics, policymakers can make informed decisions based on real-time information. Evidence-Based Policy AI and Big Data Analytics provide policymakers with the evidence needed to formulate effective public health policies. Zika The Zika virus outbreak highlighted the importance of real-time Data Analysis.

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Big Data Analytics Big Data Analytics Big Data Big Data 52

Pickl AI

SEPTEMBER 3, 2024

Introduction Artificial Neural Network (ANNs) have emerged as a cornerstone of Artificial Intelligence and Machine Learning , revolutionising how computers process information and learn from data. Edge Computing With the rise of the Internet of Things (IoT), edge computing is becoming more prevalent.

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Natural Language Processing Machine Learning Machine Learning Deep Learning 52

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. Think of a smart office powered by IoT.

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Artificial Intelligence Artificial Intelligence Internet of Things AI 91

Applied Data Science

JANUARY 4, 2022

You’ve probably heard of three different architectures widely used in machine learning: feedforward , convolutional and recurrent ANNs. Exemplifying the potential of combining AI with Internet of Things technology, dairy cow farms reportedly monitored and improved the health of their livestock.

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Pickl AI

JULY 23, 2023

Examples of unstructured data include text files, images, audio, and video content. While unstructured data may seem chaotic, advancements in artificial intelligence and machine learning enable us to extract valuable insights from this data type.

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Analytics Analytics Predictive Analytics Data Analysis 52

Pickl AI

JUNE 29, 2023

Data Analysis is significant as it helps accurately assess data that drive data-driven decisions. Different tools are available in the market that help in the process of analysis. It is a powerful and widely-used platform that revolutionises how organisations analyse and derive insights from their data.

Big Data Analytics 52

Big Data Analytics Big Data Analytics Big Data Big Data 52

Dataconomy

FEBRUARY 24, 2023

It could be anything from customer service to data analysis. Collect data: Gather the necessary data that will be used to train the AI system. This data should be relevant, accurate, and comprehensive. It is one of the popular reasons that people want to learn how to use AI.

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Artificial Intelligence Artificial Intelligence AI AI 91

Pickl AI

JUNE 4, 2024

From weather patterns and solar irradiance to smart meter readings and power plant outputs, this data holds the key to optimizing energy production, distribution, and consumption. Data Analytics acts as the decoder ring, unlocking valuable insights from this vast ocean of information. However, the future holds even greater potential.

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Analytics Analytics Predictive Analytics Data Visualization 52

IBM Journey to AI blog

JULY 5, 2023

Predictive maintenance constantly assesses and re-assesses an asset’s condition in real-time via sensors that collect data via IoT. That data is then fed into AI-enabled CMMS, where advanced data analysis tools and processes like machine learning (ML) spot issues and help resolve them.

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Analytics Analytics Data Analysis Data Analysis 67

Pickl AI

JULY 20, 2023

Predictive Analytics Projects: Predictive analytics involves using historical data to predict future events or outcomes. Techniques like regression analysis, time series forecasting, and machine learning algorithms are used to predict customer behavior, sales trends, equipment failure, and more.

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Pickl AI

JUNE 6, 2024

Enter predictive modeling , a powerful tool that harnesses the power of data to anticipate what tomorrow may hold. Predictive modeling is a statistical technique that uses Data Analysis to make informed forecasts about future events. However, raw data is often messy and needs cleaning and transformation to be usable.

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Internet of Things Data Scientist Data Quality Data Analysis 52

Pickl AI

AUGUST 24, 2023

This minimizes the risk of data loss and downtime. Innovation: Cloud Computing encourages innovation by providing access to advanced technologies and services, such as artificial intelligence, machine learning, big data analytics, and more.

Cloud Computing 52

Cloud Computing Big Data Analytics Big Data Analytics Machine Learning 52

Pickl AI

DECEMBER 6, 2024

5G Expansion The rollout of 5G technology is set to transform connectivity by providing ultra-fast internet speeds and low latency. This advancement will enable seamless communication between devices, facilitating the growth of the Internet of Things (IoT), autonomous vehicles, and augmented reality applications.

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Algorithm Artificial Intelligence Artificial Intelligence Internet of Things 52

Pickl AI

OCTOBER 1, 2024

Read More: How Artificial Intelligence Boost Your Small Business The Role of AI in Agriculture AI is transforming agriculture by enabling farmers to make data-driven decisions, optimise resource allocation, and automate various tasks. This increase in productivity is essential for meeting the growing global food demand.

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Artificial Intelligence Artificial Intelligence Predictive Analytics Algorithm 52

Defined.ai blog

SEPTEMBER 5, 2023

With the advance of smart devices and the Internet of Things, the depth and breadth of this data have only expanded. Now, even in-store foot traffic patterns, dwell times near promotional displays, and facial expressions can become part of this vast data tapestry.

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AI AI Machine Learning Machine Learning 52

Pickl AI

DECEMBER 2, 2024

Key Takeaways Big Data originates from diverse sources, including IoT and social media. Data lakes and cloud storage provide scalable solutions for large datasets. Processing frameworks like Hadoop enable efficient data analysis across clusters.

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Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

OCTOBER 3, 2024

How No-Code AI Works No-code AI platforms utilise graphical user interfaces (GUIs) that allow users to build applications through drag-and-drop functionality and pre-built Machine Learning models. Users can input data, configure models, and generate intelligent applications without writing a single line of code.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Pickl AI

NOVEMBER 15, 2023

With all data in one place, businesses can break down data silos and gain holistic insights. Enablement of Advanced Analytics The raw and unprocessed nature of data in a Data Lake makes it an ideal environment for advanced analytics and machine learning.

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