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

Data Science Dojo

JANUARY 12, 2023

By using this method, you may speed up the process of defining data structures, schema, and transformations while scaling to any size of data. Through data crawling, cataloguing, and indexing, they also enable you to know what data is in the lake. To preserve your digital assets, data must lastly be secured.

Data Lakes 221

Data Lakes Data Warehouse Hadoop Machine Learning 221

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

Data Science Connect

JULY 26, 2023

They are harnessing the power of the Industrial Internet of Things (IIoT) and edge computing to optimize processes, increase efficiency, and reduce downtime. Edge AI involves deploying AI algorithms and models directly on edge devices, eliminating the need to transmit data to centralized servers.

Data Scientist 100

Data Scientist Internet of Things Cloud Computing Azure 100

Dataconomy

APRIL 27, 2023

Conversely, OLAP systems are optimized for conducting complex data analysis and are designed for use by data scientists, business analysts, and knowledge workers. OLAP systems support business intelligence, data mining, and other decision support applications.

Database 159

Database Data Scientist Data Mining Data Mining 159

Smart Data Collective

SEPTEMBER 23, 2020

Data warehouses contain historical information that has been cleared to suit a relational plan. On the other hand, data lakes store from an extensive array of sources like real-time social media streams, Internet of Things devices, web app transactions, and user data.

Data Lakes 135

Data Lakes Data Warehouse Big Data Big Data 135

AWS Machine Learning Blog

OCTOBER 2, 2023

For instance, data labeling and training has a strong data science focus, edge deployment requires an Internet of Things (IoT) specialist, and automating the whole process is usually done by someone with a DevOps skill set. Depending on your organization, this whole process might even be implemented by multiple teams.

AWS 123

AWS ML ML Internet of Things 123

Smart Data Collective

MARCH 6, 2022

Business intelligence requires in-depth data leveraging and analysis using key performance metrics (KPIs). There are many benefits of using data in this capacity. This is one of the reasons that the demand for data scientists is exploding and more people are pursuing this career path.

Business Intelligence 122

Business Intelligence Business Intelligence Big Data Big Data 122

Flipboard

DECEMBER 27, 2023

Did they know that those towers were collecting wavelengths across the spectrum and scouring the data for signs of suspicious movement? Did they care that they were the involuntary subjects of an Internet of Things–based experiment in border surveillance ?

Algorithm 181

Algorithm Internet of Things AI AI 181

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. Often, entry-level graduates won’t fit in these positions. General-Audience AI Tools.

Business Intelligence 132

Business Intelligence Business Intelligence Predictive Analytics Natural Language Processing 132

ODSC - Open Data Science

MAY 31, 2023

In the following example, we use Python, the beloved programming language of the data scientist, for model training, and a robust and scalable Java application for real-time model predictions. Kai’s main area of expertise lies within the fields of Data Streaming, Analytics, Hybrid Cloud Architectures, and the Internet of Things.

Data Lakes 131

Data Lakes Machine Learning Machine Learning Apache Kafka 131

AWS Machine Learning Blog

NOVEMBER 22, 2023

The overarching concept was straightforward: think like a geospatial data scientist. The task involved writing Python code to read data, transform it, and then visualize it in an interesting map. Load the data To load the Airbnb listing price data into a Pandas DataFrame, we create a prompt and pass in some parameters.

Python 121

Python AWS Data Scientist AI 121

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. Day in the Life of an AI engineer AI engineers work in various industries as specialists in data science, software engineering, and programming.

Artificial Intelligence 111

Artificial Intelligence Artificial Intelligence AI AI 111

Dataconomy

SEPTEMBER 4, 2023

Machine learning and AI analytics: Machine learning and AI analytics leverage advanced algorithms to automate the analysis of data, discover hidden patterns, and make predictions. IoT analytics: IoT (Internet of Things) analytics deals with data generated by IoT devices, such as sensors, connected appliances, and industrial equipment.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

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.

Internet of Things 113

Internet of Things Natural Language Processing Data Analysis Data Analysis 113

ODSC - Open Data Science

JANUARY 26, 2023

Data or feature scaling to a more appropriate size creates stability in the deep learning model by reducing that distance for faster and more accurate determinations. A robust data set makes for the best deep learning model — but how big should it be to start tackling complex problems?

Deep Learning 59

Deep Learning Deep Learning Data Scientist Internet of Things 59

Dataversity

JUNE 25, 2021

From hackable medical devices to combating fake news, data provenance is growing in importance. In addition to enabling trust and security, data provenance creates efficiencies for data scientists and opens up new lines of business.

Data Scientist 52

Data Scientist Internet of Things Data Governance Data Quality 52

IBM Journey to AI blog

MAY 31, 2023

Predictive maintenance leverages new technologies like artificial intelligence , machine learning and the Internet of Things (IoT) to generate insights.

Internet of Things 111

Internet of Things Machine Learning Machine Learning Artificial Intelligence 111

AWS Machine Learning Blog

OCTOBER 2, 2023

We can follow a simple three-step process to convert an experiment to a fully automated MLOps pipeline: Convert existing preprocessing, training, and evaluation code to command line scripts.

AWS 123

AWS Internet of Things ML ML 123

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

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 is widely used for data analysis, modeling, and building Machine Learning models. Many companies and institutions use Python, further solidifying its importance.

Python 52

Python Data Analysis Data Analysis Internet of Things 52

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.

AWS 100

AWS Analytics Analytics Machine Learning 100

Heartbeat

MAY 23, 2023

Industrial Internet of Things (IIoT) Edge computing is also changing how we apply deep learning in the Industrial Internet of Things (IIoT) realm. et all (2021) Deep Learning for the Industrial Internet of Things (IIoT) [3] Stephen J. et all (2020). An overview on edge computing research. [2] 2] Shahid L.,

Deep Learning 52

Deep Learning Deep Learning Cloud Computing Internet of Things 52

AWS Machine Learning Blog

APRIL 18, 2023

With the recently launched Amazon Monitron Kinesis data export v2 feature , your OT team can stream incoming measurement data and inference results from Amazon Monitron via Amazon Kinesis to AWS Simple Storage Service (Amazon S3) to build an Internet of Things (IoT) data lake.

AWS 90

AWS ML ML Database 90

AWS Machine Learning Blog

MARCH 19, 2024

Real-time data is critical for applications like predictive maintenance and anomaly detection, yet developing custom ML models for each industrial use case with such time series data demands considerable time and resources from data scientists, hindering widespread adoption.

AI 138

AI AI AWS Python 138

Pickl AI

JUNE 6, 2024

Here’s a breakdown of the key points: Data is Key: The quality of your predictions hinges on the quality of the data you feed the model. Learning from the Past: The model analyzes historical data to identify patterns and relationships between variables. Will Predictive Modeling Take Away Jobs?

Internet of Things 52

Internet of Things Data Scientist Data Quality Data Analysis 52

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. These optimizations translate into real-world benefits.

Analytics 52

Analytics Analytics Predictive Analytics Data Visualization 52

Pickl AI

JANUARY 16, 2024

Customer Insights Specialist Deciphering consumer behaviour through data, providing invaluable insights for marketing strategies and product development. IoT Data Analyst Analysing data generated by Internet of Things (IoT) devices, extracting meaningful patterns and trends for improved efficiency and decision-making.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Analytics 52

AWS Machine Learning Blog

MARCH 29, 2023

Amazon SageMaker provides a suite of built-in algorithms , pre-trained models, and pre-built solution templates to help data scientists and ML practitioners get started on training and deploying ML models quickly. Setting up and managing custom ML environments can be time-consuming and cumbersome.

ML 96

ML ML AWS Machine Learning 96

DataRobot Blog

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). The first step in building a model that can predict machine failure and even recommend the next best course of action is to aggregate, clean, and prepare data to train against.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 52

IBM Journey to AI blog

SEPTEMBER 11, 2023

The ability to ingest hundreds of thousands of rows each second is critical for more and more applications, particularly for mobile computing and the Internet of Things (IoT).

Database 101

Database SQL Data Warehouse Machine Learning 101

AWS Machine Learning Blog

SEPTEMBER 1, 2023

These data owners are focused on providing access to their data to multiple business units or teams. Data science team – Data scientists need to focus on creating the best model based on predefined key performance indicators (KPIs) working in notebooks.

AI 128

AI AI ML ML 128

Pickl AI

SEPTEMBER 3, 2024

Edge Computing With the rise of the Internet of Things (IoT), edge computing is becoming more prevalent. This approach involves processing data closer to the source, reducing latency and bandwidth usage. Many data scientists specialise in neural networks and Deep Learning to tackle complex problems across various industries.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Deep Learning 52

ODSC - Open Data Science

JULY 19, 2023

Machine Learning Operations (MLOps) can significantly accelerate how data scientists and ML engineers meet organizational needs. A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team.

Machine Learning 52

Machine Learning Machine Learning Azure Data Science 52

AWS Machine Learning Blog

OCTOBER 19, 2023

With SageMaker MLOps tools, teams can easily prepare, train, test, troubleshoot, deploy, and govern ML models at scale, boosting productivity of data scientists and ML engineers while maintaining model performance in production. The following diagram illustrates the SageMaker MLOps workflow.

Machine Learning 119

Machine Learning Machine Learning ML ML 119

Pickl AI

JULY 14, 2023

Integration of AI with Other Technologies (ongoing): AI is increasingly integrated with other emerging technologies, such as Internet of Things (IoT), blockchain, and edge computing. They help in making data accessible for organisations to evaluate and optimise their business operations.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Heartbeat

JUNE 23, 2023

The study of data points collected over time to determine trends, patterns, and behaviour is known as time series analysis. Time series analysis has become increasingly relevant for a variety of industries, including banking, healthcare, and retail, as big data and the internet of things (IoT) have grown in popularity.

Deep Learning 52

Deep Learning Deep Learning Python Data Scientist 52