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.

Data Scientist 130

Data Scientist Internet of Things Predictive Analytics Machine Learning 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. Coding, algorithms, statistics, and big data technologies are especially crucial for AI engineers.

AI 104

AI AI Artificial Intelligence Artificial Intelligence 104

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.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Analytics 52

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 Natural Language Processing Analytics 130

Smart Data Collective

SEPTEMBER 11, 2020

Internet of Things. In this digital age, people rely more on the internet to find and share information. IoT is the technology that enhances communication by connecting network devices and collecting data. Internet of Things is a critical tool for businesses. AI has made it even more viable than ever.

Internet of Things 97

Internet of Things AI AI Artificial Intelligence 97

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

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 Machine Learning Machine Learning 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 Machine Learning Machine Learning 70

Heartbeat

OCTOBER 23, 2023

The Role of Data Scientists and ML Engineers in Health Informatics At the heart of the Age of Health Informatics are data scientists and ML engineers who play a critical role in harnessing the power of data and developing intelligent algorithms.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Big Data Analytics 52

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 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.

Analytics 40

Analytics Analytics Big Data Big Data 40

Smart Data Collective

NOVEMBER 25, 2019

New Avenues of Data Discovery. New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. It’s hard to tell if better education programs will improve the situation.

Business Intelligence 102

Business Intelligence Business Intelligence Natural Language Processing Predictive Analytics 102

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.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

JANUARY 3, 2024

Projected salary trends for 2024 Data-driven projections Embracing the current trends in Machine Learning, the landscape is marked by the ascendancy of Deep Learning and the development of sophisticated algorithms. These advancements empower professionals to make more accurate predictions and decisions. from 2023 to 2030.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Deep Learning 52

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 78

Internet of Things Cloud Computing Predictive Analytics Analytics 78

phData

SEPTEMBER 19, 2023

This facilitates the development and implementation of complex analytics models, machine learning algorithms, and AI-driven solutions that can uncover predictive and prescriptive insights.

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52

Dataconomy

AUGUST 21, 2023

This is the promise of ambient computing—a technology where an algorithm knows you so well that it anticipates your needs before you’re even aware of them. 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

Dataconomy

APRIL 27, 2023

The role of digit-computers in the digital age Handle multi-user access & data integrity OLTP systems must be able to handle multiple users accessing the same data simultaneously while ensuring data integrity. OLAP systems support business intelligence, data mining, and other decision support applications.

Database 159

Database Data Scientist Data Mining Data Mining 159

Dataconomy

JULY 14, 2023

By feeding computers large amounts of data, machine learning algorithms can learn to identify patterns and make predictions. The advent of the Internet of Things (IoT) further propelled the growth and adoption of M2M, creating an interconnected world where devices communicate seamlessly for improved efficiency and convenience.

Cloud Computing 91

Cloud Computing Machine Learning Machine Learning Internet of Things 91

Pickl AI

JULY 23, 2023

Big Data Big data refers to vast volumes of information that exceed the processing capabilities of traditional databases. Characterized by the three Vs: volume, velocity, and variety, big data poses unique challenges and opportunities. This step is crucial for eliminating inconsistencies and ensuring data integrity.

Analytics 52

Analytics Analytics Predictive Analytics Data Analysis 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. Choose the appropriate algorithm: Select the AI algorithm that best suits the problem you want to solve.

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence AI AI 91

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 95

Internet of Things Machine Learning Machine Learning Artificial Intelligence 95

Applied Data Science

JANUARY 4, 2022

The immense computational complexity of recent algorithms has forced their creators to train them only a handful of times, in many cases just once. But perhaps repeating the experiment would give a very different result, below human-level performance or other competing algorithms.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence Deep Learning Deep Learning 130

Pickl AI

AUGUST 24, 2023

Local Data Governance: Edge Computing empowers organizations to adhere to data governance regulations by enabling them to process and store data locally, ensuring compliance with data sovereignty laws. Support for IoT Growth: As the Internet of Things (IoT) continues to expand, Edge Computing is a natural fit.

Cloud Computing 52

Cloud Computing Big Data Analytics Big Data Analytics Machine Learning 52

Pickl AI

JULY 31, 2023

Examples of narrow AI include virtual personal assistants like Siri or Alexa, recommendation systems used by online platforms, and algorithms used in autonomous vehicles for specific driving tasks. Machine Learning AI systems often employ machine learning algorithms to learn from data and improve their performance over time.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52