- Can Edge Analytics Become a Game Changer? - Feb 28, 2020.
Edge analytics is considered to be the future of sensor handling, and this article discusses its benefits and architecture of modern edge devices, gateways, and sensors. Deep Learning for edge analytics is also considered along with a review of experiments in human and chess figure detection using edge devices.
Edge Analytics, IoT, Sciforce
Top 10 Technology Trends for 2020 - Jan 16, 2020.
With integrations of multiple emerging technologies just in the past year, AI development continues at a fast pace. Following the blueprint of science and technology advancements in 2019, we predict 10 trends we expect to see in 2020 and beyond.
2020 Predictions, AI, AutoML, Baidu, Blockchain, IoT, NLP, Quantum Computing, Research
- The ravages of concept drift in stream learning applications and how to deal with it - Dec 18, 2019.
Stream data processing has gained progressive momentum with the arriving of new stream applications and big data scenarios. These streams of data evolve generally over time and may be occasionally affected by a change (concept drift). How to handle this change by using detection and adaptation mechanisms is crucial in many real-world systems.
IoT, Learning, Real-time
- AI: Arms Race 2.0 - Mar 12, 2019.
An analysis of the current state of the competition between US, Europe, and China in AI, examining research, patent publications, global datasphere, devices and IoT, people, and more.
AI, China, Deep Learning, Europe, Investment, IoT, Machine Learning, Neural Networks, Startups, Trends, USA
Top 10 Technology Trends of 2019 - Feb 7, 2019.
This article outlines 10 top trending technologies for 2019, a list which covers diverse topics such as security, IoT, reinforcement learning, energy sustainability, smart cities, and much more.
2019 Predictions, Automation, Cloud, Energy, IoT, Reinforcement Learning, Security, Trends
- Raspberry Pi IoT Projects for Fun and Profit - Sep 27, 2018.
In this post, I will explain how to run an IoT project from the command line, without graphical interface, using Ubuntu Core in a Raspberry Pi 3.
Pages: 1 2
Data Science, IoT, Python, Raspberry Pi
- Deep Learning on the Edge - Sep 19, 2018.
Detailed analysis into utilizing deep learning on the edge, covering both advantages and disadvantages and comparing this against more traditional cloud computing methods.
Cloud Computing, Deep Learning, IoT, Security
- Leveraging Agent-based Models (ABM) and Digital Twins to Prevent Injuries - Aug 22, 2018.
Both athletes and machines deal with inter-twined complex systems (where the interactions of one complex system can have a ripple effect on others) that can have significant impact on their operational effectiveness.
Health, IoT, Modeling, Sports
- IoT on AWS: Machine Learning Models and Dashboards from Sensor Data - Jun 15, 2018.
I developed my first IoT project using my notebook as an IoT device and AWS IoT as infrastructure, with this "simple" idea: collect CPU Temperature from my Notebook running on Ubuntu, send to Amazon AWS IoT, save data, make it available for Machine Learning models and dashboards.
AWS, Dashboard, IoT, Machine Learning, Rubens Zimbres
- Role of IoT in Education - Apr 17, 2018.
In this article, I will discuss the significance of IoT and gain insights on why this technology is becoming an integral part of the daily learning and teaching methodologies.
Education, IoT
Top 10 Technology Trends of 2018 - Apr 13, 2018.
In this article, we will focus on the modern trends that took off well on the market by the end of 2017 and discuss the major breakthroughs expected in 2018.
AI, Blockchain, Chief Data Officer, Deep Learning, Ethics, IoT, NLP, Privacy, Top 10, Trends
- Predictive and Preventive Maintenance - Mar 13, 2018.
Analytics is becoming important part of maintenance, with applications to analyzing part failures, using failure distributions to simulate product life, and determining the root cause of failures. We provide an overview of predictive maintenance, its usage and key issues to be considered.
IoT, Predictive Maintenance
- Four Big Data Trends for 2018 - Jan 25, 2018.
Curious about the future of Big Data and AI? Here’s what the trends have it in 2018 for innovations.
2018 Predictions, AI, Big Data, Chatbot, Explainable AI, IoT, Trends
- Cartoon: AI at Home: How Far Can A Smart Device Go? - Jan 6, 2018.
New KDnuggets cartoon looks at AI at Home technology and considers how a novel way how a smart device can help its owner to lose weight.
AI, Cartoon, Humor, IoT
- Edge Analytics – What, Why, When, Who, Where, How? - Oct 11, 2017.
Edge analytics is the collection, processing, and analysis of data at the edge of a network either at or close to a sensor, a network switch or some other connected device.
Analytics, Edge Analytics, IoT, Sensors
- Why Java is the Language of Choice for the Internet of Things (IoT) - May 23, 2017.
What has caused this Java revival and why is Java so useful in the Internet of Things? Better yet, what is the Internet of Things?
Developers, Internet of Things, IoT, Java
- The Internet of Things in the Cloud - May 11, 2017.
Cloud computing is the next evolutionary step in Internet-based computing, which provides the means for delivering ICT resources as a service. Internet-of-Things can benefit from the scalability, performance and pay-as-you-go nature of cloud computing infrastructures.
Cloud, Cloud Computing, Internet of Things, IoT, Scalability
- Difference Between Big Data and Internet of Things - Apr 21, 2017.
If you cannot manage real-time streaming data and make real-time analytics and real-time decisions at the edge, then you are not doing IOT or IOT analytics, in my humble opinion. So what is required to support these IOT data management and analytic requirements?
Big Data, Internet of Things, IoT
- The dynamics between AI and IoT - Apr 18, 2017.
We see the need for a new type of Engineer who will combine knowledge from Electronics & IoT with Machine learning, AI, Robotics, Cloud and Data management (devops).
AI, Cloud Computing, Data Management, DevOps, Engineer, IoT, Robots
50 Companies Leading The AI Revolution, Detailed - Mar 16, 2017.
We detail 50 companies leading the Artificial Intelligence revolution in AD Sales, CRM, Autotech, Business Intelligence and analytics, Commerce, Conversational AI/Bots, Core AI, Cyber-Security, Fintech, Healthcare, IoT, Vision, and other areas.
AI, Business Analytics, Cybersecurity, Data Science, Healthcare, IoT, Machine Learning
Continuous improvement for IoT through AI / Continuous learning - Nov 25, 2016.
In reality, especially for IoT, it is not like once an analytics model is built, it will give the results with same accuracy till the end of time. Data pattern changes over the time which makes it absolutely important to learn from new data and improve/recalibrate the models to get correct result. Below article explain this phenomenon of continuous improvement in analytics for IoT.
AI, Deployment, IoT, Machine Learning, Model Performance, Realtime Analytics
- Top KDnuggets tweets, Nov 2-8: 35 #OpenSource tools for Internet of Things; An Introduction to Ensemble Learners - Nov 9, 2016.
21 Must-Know #DataScience Interview Questions with Answers; Big Data Science: Expectation vs. Reality; Big #DataScience: Expectation vs. Reality; The 10 Algorithms #MachineLearning Engineers Need to Know.
Data Science, IoT, Top tweets
Data Science for Internet of Things (IoT): Ten Differences From Traditional Data Science - Sep 26, 2016.
The connected devices (The Internet of Things) generate more than 2.5 quintillion bytes of data daily. All this data will significantly impact business processes and the Data Science for IoT will take increasingly central role. Here we outline 10 main differences between Data Science for IoT and traditional Data Science.
Data Science, Deep Learning, IoT, Privacy, Robots
- The Evolution of IoT Edge Analytics: Strategies of Leading Players - Sep 2, 2016.
This article explores the significance and evolution of IoT edge analytics. Since the author believes that hardware capabilities will converge for large vendors, IoT analytics will be the key differentiator.
Analytics, Cisco, Dell, HPE, IBM, Intel, IoT, PMML
How to Become a (Type A) Data Scientist - Aug 23, 2016.
This post outlines the difference between a Type A and Type B data scientist, and prescribes a learning path on becoming a Type A.
Advice, Data Science, Data Scientist, Internet of Things, IoT
- Brain Monitoring with Kafka, OpenTSDB, and Grafana - Aug 5, 2016.
Interested in using open source software to monitor brain activity, and control your devices? Sure you are! Read this fantastic post for some insight and direction.
Pages: 1 2 3
Brain, Internet of Things, IoT, Kafka, Monitoring
- Reinforcement Learning and the Internet of Things - Aug 5, 2016.
Gain an understanding of how reinforcement learning can be employed in the Internet of Things world.
Brandon Rohrer, Internet of Things, IoT, Reinforcement Learning, Richard Sutton
- Internet of Things Key Terms, Explained - Jul 27, 2016.
This post will define 12 Key Terms for the Internet of Things, in straightforward manner.
API, Explained, Industrial Internet, Internet of Things, IoT, Key Terms
- 35 Open Source tools for Internet of Things - Jul 25, 2016.
If you have heard about the Internet of Things many times by now, its time to join the conversation. Explore the many open source tools & projects related to Internet of Things.
Pages: 1 2 3
Internet of Things, IoT, Open Source, Tools
- What the Next Generation of IoT Sensors Have in Store - Jul 19, 2016.
This post is an overview of some of the next-generation IoT sensors, and what they could mean for our future.
Internet of Things, IoT, Sensors
- Big Data Business Model Maturity Index and the Internet of Things (IoT) - Jun 7, 2016.
This post explores how organizations could use the Big Data Business Model Maturity Index (BDBMMI) to exploit the Internet of Things (IoT).
Big Data, Internet of Things, IoT, Maturity Model
- Deep Learning for Internet of Things Using H2O - Apr 6, 2016.
H2O is feature-rich open source machine learning platform known for its R and Spark integration and it’s ease of use. This is an overview of using H2O deep learning for data science with the Internet of Things.
Deep Learning, H2O, Internet of Things, IoT, R
- Big Data Is Driving Your Car - Feb 18, 2016.
Never mind driverless cars! Big Data is already hard at work in every aspect of the automotive industry, including safety, design, marketing and more. We look at where Big Data is having an impact on the cars that we are driving.
Big Data, Cars, IoT
- Research Leaders on Data Mining, Data Science and Big Data key advances, top trends - Jan 18, 2016.
Research Leaders in Data Science and Big Data reflect on the most important research advances in 2015 and the key trends expected to dominate throughout 2016.
Pages: 1 2
Bing Liu, Charu Aggarwal, Deep Learning, Ingo Mierswa, Internet of Things, IoT, Michael Berthold, Mohammed Zaki, Neural Networks, Padhraic Smyth, Pedro Domingos, Research, Trends
- Data Science of IoT: Sensor fusion and Kalman filters, Part 2 - Nov 9, 2015.
The second part of this tutorial examines use of Kalman filters to determine context for IoT systems, which helps to combine uncertain measurements in a multi-sensor system to accurately and dynamically understand the physical world.
FutureText, IoT, Kalman Filters, Sensors
- Data Science of IoT: Sensor fusion and Kalman filters, Part 1 - Oct 29, 2015.
The Kalman filter has numerous applications, including IoT and Sensor fusion, which helps to determine the State of an IoT based computing system based on sensor input.
FutureText, IoT, Kalman Filters, Sensors
- Taming the Internet of Things – KNIME Case Study - Sep 30, 2014.
With increasing interest in the Internet of Things (IoT), see how KNIME can be applied to collect data from IoT sensors, enrich that data, transform it, analyze it, and finally visualize it.
Internet of Things, IoT, Knime, Rosaria Silipo, Smart City
