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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Smart Data Collective

JANUARY 27, 2022

More researchers are using predictive analytics and AI to anticipate the outcomes of various food engineering processes, so big data will be even more important to this field in the future. They can also use data analytics to conduct better research when conceptualizing their designs. With their help, AI learns to.

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Dataconomy

JULY 11, 2024

AI and machine learning integration AI in mobile apps Artificial Intelligence (AI) is transforming mobile apps by enabling personalization, predictive analytics, and enhanced user experiences. These technologies ensure that PWAs are reliable, fast, and engaging.

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Smart Data Collective

AUGUST 26, 2021

Simply put, it involves a diverse array of tech innovations, from artificial intelligence and machine learning to the internet of things (IoT) and wireless communication networks. But if there’s one technology that has revolutionized weather forecasting, it has to be data analytics.

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Dataconomy

OCTOBER 23, 2024

Artificial intelligence (AI) and machine learning (ML) are arguably the frontiers of modern technology. Other key technologies that have recently opened doors to unprecedented growth opportunities in the corporate world include Big Data , the Internet of Things (IoT), cloud computing, and blockchain.

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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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AWS Machine Learning Blog

APRIL 18, 2023

Predictive condition-based maintenance is a proactive strategy that is better than reactive or preventive ones. Indeed, this approach combines continuous monitoring, predictive analytics, and just-in-time action. Bishr specializes in helping customers with machine learning, security, and observability applications.

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Smart Data Collective

AUGUST 14, 2019

Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. The healthcare sector is heavily dependent on advances in big data. Here are some changes on the horizon.

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Pickl AI

SEPTEMBER 17, 2024

It leverages Machine Learning, natural language processing, and predictive analytics to identify malicious activities, streamline incident response, and optimise security measures. As cyber attacks become more sophisticated and frequent, traditional security methods are struggling to keep up.

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IBM Journey to AI blog

FEBRUARY 19, 2024

Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs. Real-time tracking systems, often enabled by Internet of Things (IoT) devices, help companies monitor their supply chain accurately and immediately.

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Pickl AI

JUNE 4, 2024

Data Analytics acts as the decoder ring, unlocking valuable insights from this vast ocean of information. Through a combination of statistical analysis, machine learning techniques, and data visualization tools, data scientists are transforming the energy sector.

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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. Industrial Internet of Things (IIoT) The Constraints Within the area of Industry 4.0,

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IBM Journey to AI blog

SEPTEMBER 11, 2023

enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics. It leverages machine learning algorithms to continuously learn and adapt to workload patterns, delivering superior performance and reducing administrative efforts.

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The MLOps Blog

FEBRUARY 5, 2023

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. With that capability, applications, analytics, and reporting can be done in real-time. What is streaming data? First, let’s install the necessary libraries: !pip

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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.

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AWS Machine Learning Blog

APRIL 12, 2023

In this post, we describe how AWS Partner Airis Solutions used Amazon Lookout for Equipment , AWS Internet of Things (IoT) services, and CloudRail sensor technologies to provide a state-of-the-art solution to address these challenges. Outside of work, Fauzan enjoys spending time in nature.

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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

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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Pickl AI

OCTOBER 1, 2024

By leveraging Machine Learning algorithms, AI systems can analyse vast amounts of data from various sources, such as satellite imagery, weather forecasts, and sensor data from farm equipment. This data can be used to predict crop yields, identify pests and diseases, and optimise irrigation and fertilisation schedules.

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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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IBM Journey to AI blog

JULY 27, 2023

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. While still in its early stages, the use of blockchain in EAM is a trend worth watching.

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IBM Journey to AI blog

JULY 26, 2023

Digital twin technology, an advancement stemming from the Industrial Internet of Things (IIoT), is reshaping the oil and gas landscape by helping providers streamline asset management, optimize performance and reduce operating costs and unplanned downtime.

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Pickl AI

SEPTEMBER 13, 2024

Predictive Analytics Predictive analytics models can forecast the spread of infectious diseases by analysing historical data and identifying patterns. Predictive Modelling for Patient Outcomes Machine learning algorithms can analyse patient data to predict outcomes and identify high-risk individuals.

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Pickl AI

JUNE 18, 2024

Advanced Analytics on the Rise: DAX and Machine Learning The introduction of DAX (Data Analysis Expressions) unlocked the potential for complex calculations and data manipulation directly within Power BI. This empowered users to go beyond basic visualizations and perform advanced analytics tailored to their specific needs.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends.

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Pickl AI

JUNE 29, 2023

Internet of Things (IoT) Monitoring With the proliferation of IoT devices, Splunk can collect and analyse data from various IoT sources. Advanced Features Explore advanced features of Splunk, such as machine learning, predictive analytics , and data modeling.

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Pickl AI

JULY 20, 2023

Root cause analysis is a typical diagnostic analytics task. 3. Predictive Analytics Projects: Predictive analytics involves using historical data to predict future events or outcomes. Based on historical sensor data, Predict when a device will fail or require maintenance.

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Pickl AI

JANUARY 16, 2024

Join me in understanding the pivotal role of Data Analysts , where learning is not just an option but a necessity for success. Key takeaways Develop proficiency in Data Visualization, Statistical Analysis, Programming Languages (Python, R), Machine Learning, and Database Management.

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IBM Journey to AI blog

JULY 11, 2024

Developments in machine learning , automation and predictive analytics are helping operations managers improve planning and streamline workflows. Demand forecasting and inventory management AI uses advanced analytics to extract valuable insights and make forecasts.

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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. Analytics Tools Once data is stored and processed, analytics tools help organisations extract valuable insights.Analytics tools play a critical role in transforming raw data into actionable insights.

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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. Analytics Tools Once data is stored and processed, analytics tools help organisations extract valuable insights.Analytics tools play a critical role in transforming raw data into actionable insights.

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Pickl AI

JULY 29, 2024

Machine Learning and Predictive Analytics Hadoop’s distributed processing capabilities make it ideal for training Machine Learning models and running predictive analytics algorithms on large datasets.

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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.

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Pickl AI

AUGUST 24, 2023

Innovation: Cloud Computing encourages innovation by providing access to advanced technologies and services, such as artificial intelligence, machine learning, big data analytics, and more. Support for IoT Growth: As the Internet of Things (IoT) continues to expand, Edge Computing is a natural fit.

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Pickl AI

JUNE 6, 2024

Model Building & Training Once the data is ready, data scientists choose appropriate algorithms like regression analysis, decision trees, or machine learning techniques. These algorithms act as frameworks for the model to learn from the historical data, uncovering patterns and relationships between variables.

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IBM Journey to AI blog

JULY 11, 2024

Developments in machine learning , automation and predictive analytics are helping operations managers improve planning and streamline workflows. Demand forecasting and inventory management AI uses advanced analytics to extract valuable insights and make forecasts.

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Pickl AI

JULY 31, 2023

AI encompasses various techniques, including machine learning, natural language processing, computer vision, robotics, expert systems, and neural networks. Machine learning, a subset of AI, plays a crucial role in training models to recognize patterns and make predictions based on large amounts of data.

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