Pickl AI

OCTOBER 1, 2024

Summary: Artificial Intelligence (AI) is revolutionizing agriculture by enhancing productivity, optimizing resource usage, and enabling data-driven decision-making. While AI presents significant opportunities, it also faces challenges related to data quality, technical expertise, and integration.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Predictive Analytics Algorithm 52

Towards AI

FEBRUARY 15, 2024

As one of the biggest trends in the emerging IT industry, artificial intelligence (AI) is poised to become the next big thing in technology. 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.

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Data Science Connect

JULY 26, 2023

Integrating Sustainability Metrics into Cybersecurity Strategies Data scientists can integrate sustainability metrics into cybersecurity strategies, aligning security measures with broader sustainability goals. This approach ensures that cybersecurity efforts not only protect data but also contribute to sustainable practices.

Data Scientist 130

Data Scientist Predictive Analytics Internet of Things Artificial Intelligence 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?

Internet of Things 91

Internet of Things Cloud Computing Predictive Analytics Analytics 91

Dataconomy

AUGUST 24, 2023

Business intelligence projects merge data from various sources for a comprehensive view ( Image credit ) Good business intelligence projects have a lot in common One of the cornerstones of a successful business intelligence (BI) implementation lies in the availability and utilization of cutting-edge BI tools such as Microsoft’s Fabric.

Business Intelligence 172

Business Intelligence Business Intelligence Data Analysis Data Analysis 172

Dataconomy

FEBRUARY 24, 2023

The term “artificial intelligence” (AI) describes machines’ ability to mimic human intelligence. Artificial Intelligence (AI) can be used in various ways to solve complex problems and automate tasks that were previously done manually. It could be anything from customer service to data analysis.

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Smart Data Collective

NOVEMBER 25, 2019

New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade. New Avenues of Data Discovery.

Business Intelligence 132

Business Intelligence Business Intelligence Predictive Analytics Natural Language Processing 132

Data Science Connect

JULY 26, 2023

Unlike traditional cloud computing, where data is sent to centralized data centers, edge computing brings processing closer to the data source. This proximity significantly reduces latency and enhances real-time data analysis, making it indispensable for applications like IoT, autonomous vehicles, smart cities, and more.

Data Scientist 100

Data Scientist Internet of Things Cloud Computing Azure 100

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

Data Science Connect

JULY 24, 2023

Precision agriculture, also known as smart farming, relies on data-driven technologies to tailor agricultural practices to specific field conditions. By integrating real-time data with AI models, farmers can optimize irrigation schedules, apply fertilizers more efficiently, and detect pest and disease outbreaks early.

Data Scientist 130

Data Scientist Internet of Things Predictive Analytics Analytics 130

Dataconomy

AUGUST 21, 2023

As of 2023, sensors and artificial intelligence have already become a huge part of our lives. While it builds upon the foundation of the Internet of Things (IoT), which brought us connected devices, ambient computing takes this concept further.

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence Internet of Things AI 91

IBM Journey to AI blog

JUNE 20, 2023

Opportunities with data-driven digital twins Much has happened in engineering (e.g., detecting and preventing failures through sensor data analysis) and after sales (e.g., detecting trends through social media analysis) through the usage of data analytics.

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Internet of Things Data Analysis Data Analysis Analytics 102

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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Internet of Things Natural Language Processing Data Analysis Data Analysis 113

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.

Internet of Things 111

Internet of Things Machine Learning Machine Learning Artificial Intelligence 111

Pickl AI

OCTOBER 3, 2024

Summary: No-code AI platforms enable users to develop Artificial Intelligence applications without programming knowledge. Businesses can automate tasks, personalise customer experiences, and make data-driven decisions quickly and cost-effectively.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 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

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?

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?

Data Science 70

Data Science Internet of Things Analytics Analytics 70

Pickl AI

SEPTEMBER 13, 2024

In this context, Artificial Intelligence (AI) and Big Data Analytics have emerged as powerful tools for enhancing pandemic response efforts. By harnessing Big Data Analytics, policymakers can make informed decisions based on real-time information. What Role Does Big Data Play in Managing Pandemics?

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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.

Internet of Things 91

Internet of Things Machine Learning Machine Learning Analytics 91

Pickl AI

JULY 23, 2023

The Role of Data in the Digital Age Data plays a pivotal role in shaping the technological landscape in today’s interconnected world. Data forms the backbone of numerous cutting-edge technologies, from business analytics to artificial intelligence.

Analytics 52

Analytics Analytics Predictive Analytics Data Analysis 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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IBM Journey to AI blog

JULY 5, 2023

In the IoT era—with everything from valves to vehicles connected by sensors and systems—maintenance operators now have the opportunity to incorporate advanced analytics and artificial intelligence (AI) into everything they do.

Data Analysis 67

Data Analysis Data Analysis Analytics Analytics 67

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.

Algorithm 52

Algorithm Artificial Intelligence Artificial Intelligence Internet of Things 52

Pickl AI

JUNE 4, 2024

Data can identify buildings with inefficient systems and prioritize retrofitting efforts. Data analysis can identify opportunities for process optimization to reduce energy waste. Promote Behavioural Change Analyzing smart meter data can reveal household energy consumption patterns.

Analytics 52

Analytics Analytics Predictive Analytics Data Visualization 52

Defined.ai blog

SEPTEMBER 5, 2023

Regarding the digital age and the rise of artificial intelligence, one phrase rings especially true: data is king. Specifically, retail sales data is emerging as a goldmine for businesses looking to leverage AI. But what exactly is retail sales data, and why is it taking center stage in AI advancements?

AI 52

AI AI Machine Learning Machine Learning 52

Heartbeat

OCTOBER 23, 2023

Image from "Big Data Analytics Methods" by Peter Ghavami Here are some critical contributions of data scientists and machine learning engineers in health informatics: Data Analysis and Visualization: Data scientists and machine learning engineers are skilled in analyzing large, complex healthcare datasets.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Big Data Analytics 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

JANUARY 3, 2024

The expanding Internet of Things (IoT) and the surge in edge computing contribute to the growth by generating vast datasets that necessitate skilled professionals for analysis. Industry sectors with the highest salary growth Specific industry sectors are poised for remarkable salary growth in 2024. from 2023 to 2030.

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Machine Learning Machine Learning Natural Language Processing Deep Learning 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.

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ODSC - Open Data Science

JULY 19, 2023

Model Development (Inner Loop): The inner loop element consists of your iterative data science workflow. A typical workflow is illustrated here from data ingestion, EDA (Exploratory Data Analysis), experimentation, model development and evaluation, to the registration of a candidate model for production.

Machine Learning 52

Machine Learning Machine Learning Azure Data Science 52

ODSC - Open Data Science

JULY 11, 2023

Conversational artificial intelligence has been around for almost 60 years now. It uses a form of artificial intelligence called Reinforcement Learning from Human Feedback to produce answers based on human-guided computer analytics.2 ChatGPT is well suited to this type of situation.

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Data Lakes AI AI Cloud Computing 40

AWS Machine Learning Blog

MARCH 19, 2024

Agents like PandasAI come into play, running this code on high-resolution time series data and handling errors using FMs. PandasAI is a Python library that adds generative AI capabilities to pandas, the popular data analysis and manipulation tool. PandasAI sends this custom prompt to the Amazon Bedrock Claude v2 model.

AI 131

AI AI AWS Python 131

Tableau

MAY 5, 2023

Pedro Arellano SVP & GM, Tableau Kristin Adderson May 5, 2023 - 7:28pm May 9, 2023 The analytics age we find ourselves in is unique, powered by technologies like generative AI, the Internet of Things (IoT), and automation that are going to change so much of what we take for granted today.

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Tableau Analytics Analytics Data Analyst 108

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. What is Predictive Modeling?

Internet of Things 52

Internet of Things Data Scientist Data Quality Data Analysis 52

Tableau

MAY 5, 2023

Kristin Adderson May 5, 2023 - 7:28pm May 9, 2023 The analytics age we find ourselves in is unique, powered by technologies like generative AI, the Internet of Things (IoT), and automation that are going to change so much of what we take for granted today.

Tableau 52

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Tableau

MAY 5, 2023

Kristin Adderson May 5, 2023 - 7:28pm May 9, 2023 The analytics age we find ourselves in is unique, powered by technologies like generative AI, the Internet of Things (IoT), and automation that are going to change so much of what we take for granted today.

Tableau 52

Tableau Analytics Analytics Data Analyst 52