Smart Data Collective

OCTOBER 26, 2023

Machine learning algorithms can adapt and improve over time, enabling them to recognize new, previously unseen attack patterns. Rapid growth in the use of recently developed technologies such as the Internet of Things (IoT), artificial intelligence (AI), and cloud computing has introduced new security threats and vulnerabilities.

Technology 93

Technology Risk Measurement IoT 93

IBM Big Data Hub

SEPTEMBER 1, 2023

Internet of things (IOT) attack In an IoT attack, cybercriminals exploit vulnerabilities in IoT devices, like smart home devices and industrial control systems, to take over the device, steal data, or use the device as a part of a botnet for other malicious ends. Keep in mind that not all hackers are threat actors or cybercriminals.

IoT 102

IoT Internet of Things Software Behavioral Analytics 102

CIO Business Intelligence

SEPTEMBER 8, 2022

Whether you’re distributing news events, moving just-in-time inventory, or processing clinical test results, the ability to process that data instantly is the power of real-time data.” — Peter B. Nichol ( @PeterBNichol ), Chief Technology Officer at OROCA Innovations. As your data increases, expand your data-driven capabilities.

Cost-Benefit 105

Cost-Benefit Internet of Things Data-driven Data Lake 105

AWS Big Data

NOVEMBER 17, 2023

These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more. The Athena editor is used to test the connector and perform analysis via SQL queries. Retrieved records are shown under Results.

Visualization 82

Visualization Metadata Testing Internet of Things 82

IBM Big Data Hub

MARCH 14, 2024

Apple was one of the first manufacturers to test the appetite for 5G in 2020 by offering its newest iPhone with 5G compatibility. The number of networks also continues to grow, with many popular Internet Service Providers (ISPs) like Verizon, Google and AT&T, offering 5G connectivity in both homes and businesses.

Technology 59

Technology IoT Cost-Benefit Internet of Things 59

DataRobot Blog

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). High-level example of a common machine learning lifecycle. This is where the results of a machine learning model could be fed into further downstream analytics and automation.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

IBM Big Data Hub

JUNE 20, 2023

Digital twins allow companies to run tests and predict performance based on simulations. By coupling asset information (thanks to the Internet of Things (IoT)) with powerful analytics capabilities, businesses can now perform cost-effective preventive maintenance, intervening before a critical asset fails and preventing costly downtime.

Strategy 71

Strategy Management Cost-Benefit IoT 71

Sisense

MARCH 18, 2020

The Internet of Things only makes the rise of attacks on companies more likely and more challenging to deal with as it continues to grow; more than 20 billion new devices are forecast to connect to the internet this year alone. Where machines learn like humans and from humans, unconscious bias is as much a threat as with humans.”

Software 52

Software Machine Learning Internet of Things Risk 52

CIO Business Intelligence

JUNE 13, 2022

That initiative includes technology upgrades such as API integration layers for greater, more agile access to data and a culture change encouraging more innovation by “testing hypotheses” using data. Others also list data initiatives as a top issue for CIOs.

IT 143

IT Digital Transformation Strategy Internet of Things 143

Sisense

JUNE 11, 2019

First off, IoT, the Internet of Things. The Internet has always, technically, been on “things”. are all things. Imagine building a machine learning model that can be tested on a real-time stream of data, which would lead to rapid insights and improvement.

Big Data 73

Big Data Slice and Dice IoT Data Lake 73

Cloudera

AUGUST 6, 2018

Whether we like it or not, this Internet of Things is the new reality. Fox Foundation is testing a watch-type wearable device in Australia to continuously monitor the symptoms of patients with Parkinson’s disease. There are legitimate concerns about the inherent biases of machine learning algorithms.

Machine Learning 49

Machine Learning Internet of Things Cost-Benefit Data-driven 49

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Integrating conversational AI into the Internet of Things (IoT) also offers vast possibilities, enabling more intelligent and interactive environments through seamless communication between connected devices.

Enterprise 95

Enterprise Interactive Data-driven Key Performance Indicator 95

Smart Data Collective

AUGUST 19, 2019

In an ideal situation, the IoT system needs to be tested for several weeks before starting implementation. Use advanced hardware security gateways which include machine learning technologies to effectively protect against zero-day threats. Any of these elements can be hacked. So, what to do? Final thoughts.

IoT 71

IoT Manufacturing Internet of Things Machine Learning 71

Sisense

OCTOBER 6, 2020

And, as industrial, business, domestic, and personal Internet of Things devices become increasingly intelligent, they communicate with each other and share data to help calibrate performance and maximize efficiency. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Rocket-Powered Data Science

JULY 14, 2023

The criticality of these synergies becomes obvious when we recognize analytics as the products (the outputs and deliverables) of the data science and machine learning activities that are applied to enterprise data (the inputs).

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

Sisense

JANUARY 13, 2020

Modern factories are full of machines, sensors, and devices that make up the Internet of Things. This continuous, smart, machine-based scrutiny significantly decreases the number of tests essential to maintain quality parameters. All of them generate a trail of performance-tracking data.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

IBM Big Data Hub

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. Build and test prototypes right on the shop floor. What’s the biggest challenge manufacturers face right now?

Manufacturing 72

Manufacturing Technology Internet of Things Cost-Benefit 72

Paul DeBeasi

JANUARY 30, 2019

Machine learning projects are inherently different from traditional IT projects in that they are significantly more heuristic and experimental, requiring skills spanning multiple domains, including statistical analysis, data analysis and application development. Four Options for Integrating Machine Learning with IoT.

Machine Learning 56

Machine Learning IoT Experimentation Statistics 56

Smart Data Collective

AUGUST 9, 2023

It’s around us at every turn, including Internet of Things (IoT) devices, smartphones, and just about every other piece of technology you can think of. For example, a pacemaker would need completely different code than a washing machine. This requires extensive testing before the software can be deployed.

Software 77

Software Testing Internet of Things IoT 77

AWS Big Data

SEPTEMBER 6, 2023

They are being applied in numerous ways, including monitoring website traffic, tracking industrial Internet of Things (IoT) devices, analyzing video game player behavior, and managing data for cutting-edge analytics systems. For testing, this post includes a sample AWS Cloud Development Kit (AWS CDK) application.

Testing 97

Testing Metadata Cost-Benefit Management 97

Domino Data Lab

MAY 8, 2019

I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”. Not yet, if ever.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Cloudera

SEPTEMBER 5, 2018

While the Internet of Things (IoT) represents a significant opportunity, IoT architectures are often rigid, complex to implement, costly, and create a multitude of challenges for organizations. Integrated and tested by Cloudera, Eurotech, and Red Hat to ensure compatibility and interoperability. Modularity.

IoT 47

IoT Machine Learning Internet of Things Cost-Benefit 47

IBM Big Data Hub

JULY 5, 2023

It allows the company to run tests and predict performance based on simulations. That data is then fed into AI-enabled CMMS, where advanced data analysis tools and processes like machine learning (ML) spot issues and help resolve them. A digital twin is a virtual representation of an asset that a company intends to purchase.

Strategy 53

Strategy Management IoT Cost-Benefit 53

IBM Big Data Hub

FEBRUARY 6, 2024

Hybrid cloud architecture also provides resource flexibility to help manage data gathered from multiple edge and Internet of Things (IoT) settings with flexible compute, network and cloud storage resources. Utilize public cloud resources for short-term projects like development and testing.

Cost-Benefit 99

Cost-Benefit Digital Transformation Software Modeling 99

datapine

AUGUST 29, 2022

James Warren, on the other part, is a successful analytics architect with a background in machine learning and scientific computing. In this at-times contrarian and unflinching book, Dr. Barry Devlin shows how modern BI often fails to deal with data from mobile, social media, and the Internet of Things in a meaningful way.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Rocket-Powered Data Science

JULY 21, 2023

.” Model-Assisted Threat Hunts , also known as Splunk M-ATH , is Splunk’s brand name for machine learning-assisted threat hunting and mitigation. testing for hypothesized threats, behaviors, and activities), (2) Baseline (i.e., automation of the first two type of hunts, using AI and machine learning).

Machine Learning 190

Machine Learning Metrics Reporting Internet of Things 190

IBM Big Data Hub

JUNE 29, 2023

It integrates advanced technologies—like the Internet of Things (IoT), artificial intelligence (AI) and cloud computing —into an organization’s existing manufacturing processes. Manufacturers can also use digital twins to simulate scenarios and test configurations before implementing them. Industry 4.0

Manufacturing 55

Manufacturing Internet of Things Cost-Benefit Digital Transformation 55

CIO Business Intelligence

OCTOBER 3, 2022

He cites the technology-enabled changes in how people work as well as general advancements in technologies like cloud, machine learning, and open source as trends impacting the three-year roadmap. They also say they expect some technologies that they’re now only watching or testing to become mainstream by 2025.

IT 139

IT Internet of Things Technology Consulting 139

erwin

DECEMBER 13, 2018

The ability for an organization to model, build and test automated business processes is a gamechanger. Turning bad AI/ML data good : Artificial Intelligence (AI) and Machine Learning (ML) are consumers of data. The internet of things (IoT) is all about new data sources (device data) that often have opaque data structures.

Data Governance 91

Data Governance IoT Internet of Things Data-driven 91

IBM Big Data Hub

MARCH 20, 2024

artificial intelligence (AI) , edge computing, the Internet of Things (IoT) ). Development and testing A public cloud setting offers an ideal environment for developing and testing new applications compared to the traditional waterfall method, which can be far costlier and more time-consuming.

Internet of Things 88

Internet of Things Cost-Benefit Data Processing IoT 88

datapine

NOVEMBER 27, 2019

Often seen as the highest foe-friend of the human race in movies ( Skynet in Terminator, The Machines of Matrix or the Master Control Program of Tron), AI is not yet on the verge to destroy us, in spite the legit warnings of some reputed scientists and tech-entrepreneurs. 1 for data analytics trends in 2020.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

IBM Big Data Hub

FEBRUARY 9, 2024

Prior to the current hype cycle, generative machine learning tools like the “Smart Compose” feature rolled out by Google in 2018 weren’t heralded as a paradigm shift, despite being harbingers of today’s text generating services.

Cost-Benefit 95

Cost-Benefit Modeling Data-driven Enterprise 95