Smart Data Collective

MARCH 23, 2022

So many smart devices have started to connect and communicate over the internet, that the term Internet of Things (IoT) has been coined to describe these “network-aware” devices. Software that has bugs need to be properly tested at all stages of development for both functionalities as well as cybersecurity.

IoT 109

IoT Internet of Things Testing Cost-Benefit 109

CIO Business Intelligence

FEBRUARY 23, 2024

The Internet of Things (IoT) vulnerabilities have also been increasing. There is generally limited uptake initially caused by hesitancy as people generally wish to test the technology first and proceed to move with due care. According to Statista, the number of IoT devices exceeded 15 billion in 2023.

IoT 111

IoT Internet of Things Testing Reporting 111

CIO Business Intelligence

AUGUST 25, 2023

To address these issues, Proctor & Gamble worked closely with Microsoft to deploy Microsoft’s IoT and Edge analytics platform, its Azure cloud for manufacturing, and its IoT sensors, edge analytics, and machine learning models. Data is streamed to Microsoft’s Edge analytics model using a broadcasting system and Grafana pre-visualization.

Predictive Analytics 98

Predictive Analytics IoT Manufacturing Analytics 98

erwin

MAY 9, 2019

KPMG’s The Changing Landscape of Disruptive Technologies found that today’s businesses are showing the most interest in emerging technology like the Internet of Things (IoT) , artificial intelligence (AI) and robotics. In many cases, emerging technologies such as these are not fully embedded into business environments.

Technology 75

Technology Enterprise Management Internet of Things 75

AWS Big Data

APRIL 12, 2024

The sources of this data, such as clickstream events, change data capture (CDC), application and service logs, and Internet of Things (IoT) data streams are proliferating. Pay-as-you-go model – You only pay for the data volume that Amazon Data Firehose processes. Create a Kinesis data stream. The KDG set up.

Data Architecture 97

Data Architecture IoT Internet of Things Recreation/Entertainment 97

CIO Business Intelligence

JANUARY 26, 2024

Fueled by cloud Ford’s cloud journey, which began roughly a decade ago, continues to this day, Musser says, as the automaker seeks to take advantage of advances in the key technologies fueling its transformation, including the internet of things (IoT), software as a service, and the latest offerings on Google Cloud Platform (GCP).

IoT 119

IoT Manufacturing Digital Transformation Internet of Things 119

Rocket-Powered Data Science

JUNE 17, 2022

Explore and test-drive it (with a free trial) here. Synthetic monitoring is essentially digital twinning of your network and IT environment, providing insights through simulated risks, attacks, and anomalies via predictive and prescriptive modeling. Reference ) Splunk Enterprise 9.0 is here, now! The new Splunk Enterprise 9.0

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

Jen Stirrup

MAY 21, 2024

The emergence of AI-based business models is a primary factor responsible for this significant market growth. AI has become a driving force in various technologies, including robotics, big data, and the Internet of Things (IoT). Organisations do not always back up and test restoration of databases efficiently.

IT 68

IT Measurement Internet of Things Data-driven 68

CIO Business Intelligence

SEPTEMBER 8, 2022

In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. Advanced analytics can enhance events with scoring models, expanded business rules, or even new data.”.

Cost-Benefit 120

Cost-Benefit Internet of Things Data-driven Data Lake 120

IBM Big Data Hub

FEBRUARY 23, 2024

DL models can improve over time through further training and exposure to more data. When a user sends a message, the system uses NLP to parse and understand the input, often by using DL models to grasp the nuances and intent. DL, a subset of ML, excels at understanding context and generating human-like responses.

Enterprise 100

Enterprise Interactive Data-driven Key Performance Indicator 100

IBM Big Data Hub

JULY 26, 2023

Digital twin technology, an advancement stemming from the Industrial Internet of Things (IIoT), is reshaping the oil and gas landscape by helping providers streamline asset management, optimize performance and reduce operating costs and unplanned downtime.

Technology 55

Technology Cost-Benefit Optimization Internet of Things 55

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 106

IoT Internet of Things Software Behavioral Analytics 106

CIO Business Intelligence

JUNE 28, 2022

More importantly, we also have statistical models that draw error bars that delineate the limits of our analysis. Others are philosophical, testing our ability to reason about abstract qualities. The devices from the internet of things (IoT) keep uploading data and users expect to browse a rich collection of these bytes forever.

Management 138

Management Internet of Things Statistics Data-driven 138

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. To get there, Angel-Johnson has embarked on a master data management initiative. Others also list data initiatives as a top issue for CIOs.

IT 144

IT Digital Transformation Strategy Internet of Things 144

DataRobot Blog

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). As these models make inferences, DataRobot’s MLOps offering allows teams to monitor these models and create downstream triggers or alerts based on the predictions.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

Sisense

JUNE 11, 2019

First off, IoT, the Internet of Things. The Internet has always, technically, been on “things”. are all things. The key is to take an agile approach to managing governance and modeling in data lakes, trying a few approaches in tandem that expose data quickly so that they can explore and iterate quickly.

Big Data 73

Big Data Slice and Dice IoT Data Lake 73

AWS Big Data

MARCH 13, 2024

The solution consists of the following interfaces: IoT or mobile application – A mobile application or an Internet of Things (IoT) device allows the tracking of a company vehicle while it is in use and transmits its current location securely to the data ingestion layer in AWS. The ingestion approach is not in scope of this post.

Analytics 99

Analytics IoT Metadata Internet of Things 99

IBM Big Data Hub

JULY 12, 2023

Test and reassess your plans regularly Markets and industries are constantly shifting, so the reality that a contingency plan faces when it is triggered might be very different than the one it was created for. Plans should be tested at least once annually, and new risk assessments performed.

Risk 40

Risk Cost-Benefit Internet of Things Testing 40

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 ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage. Data scientists work with business users to define and learn the rules by which analytics models produce high-accuracy early warnings.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

Insight

NOVEMBER 16, 2018

This incentive model strongly penalizes malicious actors, since only honest miners whose contributions are accepted by the network receive reimbursement for the energy costs that went into producing the proof of work. Decentralized consensus technology has changed dramatically in the decade since Bitcoin’s debut.

Internet of Things 75

Internet of Things Cost-Benefit Technology Testing 75

CIO Business Intelligence

NOVEMBER 2, 2023

The developers are pressured to deliver code, often before it has been adequately tested for security vulnerabilities, threat modeling, and more. The Internet of Things is not exempt from least privilege Another nightmare is built into the Internet of Things (IoT).

Internet of Things 128

Internet of Things IoT Software Risk 128

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. This requires extensive testing before the software can be deployed. Simulators are also useful for testing the system in a safe environment.

Software 76

Software Testing Internet of Things IoT 76

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. 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. Introduction. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

IBM Big Data Hub

FEBRUARY 6, 2024

Today, these three cloud architecture models are not mutually exclusive; instead, they work in concert to create a hybrid multicloud—an IT infrastructure model that uses a mix of computing environments (e.g., on-premises, private cloud, public cloud, edge) with public cloud services from more than one provider.

Cost-Benefit 103

Cost-Benefit Digital Transformation Software Modeling 103

IBM Big Data Hub

JULY 5, 2023

It allows the company to run tests and predict performance based on simulations. This information is then used to build predictive models of asset performance over time and help spot potential problems before they arise. One technique that is becoming increasingly valuable to the planning stage is the creation of a digital twin.

Strategy 55

Strategy Management IoT Cost-Benefit 55

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

Paul DeBeasi

JANUARY 30, 2019

Most organizations have defined the process to build, train and test machine learning models. The challenge has been figuring out what to do once the model is built. Integration, deployment and monitoring are essential aspects to provide for continuous feedback once the models are in production.

Machine Learning 56

Machine Learning IoT Experimentation Statistics 56

datapine

AUGUST 29, 2022

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. Topics covered here range from backtesting and benchmarking approaches to data quality issues, software tools, and model documentation practices.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

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. Servitization Servitization is a business model that involves moving from selling products to providing services. Industry 4.0

Manufacturing 57

Manufacturing Internet of Things Cost-Benefit Digital Transformation 57

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

CIO Business Intelligence

APRIL 27, 2022

Data fabric, data cleansing and tagging, data models, containers, inference at the edge – cloud-enabled platforms are all “go-to” conversation points. With nearly 6 billion people connected to the Internet in 2022, the opportunity to provide value through digital engagement channels remains top of mind. The Digitization Agenda.

Strategy 142

Strategy Data-driven Internet of Things Measurement 142

CIO Business Intelligence

OCTOBER 3, 2022

They also say they expect some technologies that they’re now only watching or testing to become mainstream by 2025. The internet of things is going to continue to explode,” says Craig Wright, senior partner for advisory and transformation at management and technology consulting firm West Monroe. says Gartner’s Tyler.

IT 145

IT Internet of Things Technology Consulting 145

erwin

DECEMBER 13, 2018

The ability for an organization to model, build and test automated business processes is a gamechanger. The internet of things (IoT) is all about new data sources (device data) that often have opaque data structures. Managing data from going over the edge: Edge computing will continue to take hold.

Data Governance 91

Data Governance IoT Internet of Things Data-driven 91

IBM Big Data Hub

MARCH 20, 2024

In the business sphere, both large enterprises and small startups depend on public cloud computing models to provide the flexibility, cost-effectiveness and scalability needed to fuel business growth. In a public cloud computing model, a cloud service provider (CSP) owns and operates vast physical data centers that run client workloads.

Internet of Things 93

Internet of Things Cost-Benefit Data Processing IoT 93

datapine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

IBM Big Data Hub

FEBRUARY 9, 2024

2023 saw an explosion of increasingly efficient foundation models with open licenses, beginning with the launch of Meta’s LlaMa family of large language models (LLMs) and followed by the likes of StableLM, Falcon, Mistral, and Llama 2. DeepFloyd and Stable Diffusion have achieved relative parity with leading proprietary models.

Cost-Benefit 99

Cost-Benefit Modeling Data-driven Enterprise 99