Smart Data Collective

AUGUST 26, 2021

Simply put, it involves a diverse array of tech innovations, from artificial intelligence and machine learning to the internet of things (IoT) and wireless communication networks. But if there’s one technology that has revolutionized weather forecasting, it has to be data analytics. Real-Time Weather Insights.

Forecasting 130

Forecasting Data Analytics Analytics IoT 130

AWS Big Data

MAY 16, 2023

Different communication infrastructure types such as mesh network and cellular can be used to send load information on a pre-defined schedule or event data in real time to the backend servers residing in the utility UDN (Utility Data Network).

Dashboards 77

Dashboards Statistics Data Collection Business Intelligence 77

Sisense

OCTOBER 15, 2020

The world is moving faster than ever, and companies processing large amounts of rapidly changing or growing data need to evolve to keep up — especially with the growth of Internet of Things (IoT) devices all around us. Let’s look at a few ways that different industries take advantage of streaming data.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

Rocket-Powered Data Science

JULY 7, 2019

7) Security (airports, shopping malls, entertainment & sport events). Autonomous Vehicles: Self-driving (guided without a human), informed by data streaming from many sensors (cameras, radar, LIDAR), and makes decisions and actions based on computer vision algorithms (ML and AI models for people, things, traffic signs,…).

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Cloudera

JANUARY 20, 2021

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. Data Collection Challenge.

Digital Transformation 103

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 103

Smart Data Collective

APRIL 16, 2019

Big Data can help urban planners address the challenges of modern urban areas , making cities smarter, safer and better for inhabitants. In a world where heavily, urbanized areas are the main culprits for resource depletion and environmental pollution, Big Data innovations can tip the scales and provide sustainable alternatives.

Big Data 104

Big Data IoT Data Collection Management 104

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. Instead, they’ll turn to big data technology to help them work through and analyze this data.

Business Intelligence 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

IBM Big Data Hub

FEBRUARY 7, 2024

Investors, regulators and stakeholders are increasingly demanding that companies disclose their exposure to climate-related risks , such as dependence on fossil fuels or vulnerability to weather events. The smart factories that make up Industry 4.0

Reporting 99

Reporting Cost-Benefit Internet of Things Data-driven 99

CIO Business Intelligence

AUGUST 16, 2023

Taking out the trash Division Drift has been key to disruptively digitize Svevia’s remit with the help of the internet of things (IoT), data collection, and data analysis. The same data can also be used to pay drivers for how they drive, and monitor production capacity.

Risk 98

Risk Cost-Benefit Digital Transformation Internet of Things 98

CIO Business Intelligence

JULY 12, 2023

P&G engineers developed a high-speed data collection system to capture data to use for training AI models. One challenge they faced is that, while production errors are extremely costly and disruptive, they don’t happen often, which means that failure events are underrepresented in the training data.

Manufacturing 98

Manufacturing Cost-Benefit Data Lake Optimization 98

erwin

JUNE 11, 2020

Apply real-time data in marketing strategies. With real-time analytics, businesses are able to utilize information such as regional or local sales patterns, inventory level summaries, local event trends, sales history, or seasonal factors in reviving marketing models and strategies and directing them to better serve their customers.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Cloudera

APRIL 15, 2019

While Cloudera Flow Management has been eagerly awaited by our Cloudera customers for use on their existing Cloudera platform clusters, Cloudera Edge Management has generated equal buzz across the industry for the possibilities that it brings to enterprises in their IoT initiatives around edge management and edge data collection.

Management 16

Management IoT Cost-Benefit Data Collection 16

IBM Big Data Hub

FEBRUARY 23, 2024

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.

Enterprise 106

Enterprise Interactive Data-driven Key Performance Indicator 106

AWS Big Data

MARCH 28, 2024

Krones equips their lines with sensors for data collection, which can then be evaluated against rules. This allows you to act on data locally and aggregate and filter device data. AWS IoT Greengrass provides prebuilt components that can be deployed to the edge. So how to detect a failure?

Management 80

Management Broadcasting IoT Metrics 80

IBM Big Data Hub

MAY 26, 2023

Logging and monitoring: AWS provides a range of logging and monitoring services—including Amazon CloudTrail, AWS Config and Amazon CloudWatch—that enable clients to monitor and audit their AWS environments for security events and compliance.

Consulting 80

Consulting Cost-Benefit Optimization Machine Learning 80

Rocket-Powered Data Science

JULY 6, 2021

While it is similar to MLOps, AIOps is less focused on the ML algorithms and more focused on automation and AI applications in the enterprise IT environment – i.e., focused on operationalizing AI, including data orchestration, the AI platform, AI outcomes monitoring, and cybersecurity requirements. will look like).

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

CIO Business Intelligence

APRIL 28, 2024

communication reliability, which supports minute-level data collection and second-level control for low-voltage transparency. By building the enterprise-level unified data foundation, unified AI model factory, and unified IoT platform, State Grid Shaanxi can accumulate valuable know-how assets. HPLC can deliver 99.9%

Interactive 52

Interactive Uncertainty Data Collection IoT 52

Cloudera

JUNE 17, 2022

In the second blog of the Universal Data Distribution blog series , we explored how Cloudera DataFlow for the Public Cloud (CDF-PC) can help you implement use cases like data lakehouse and data warehouse ingest, cybersecurity, and log optimization, as well as IoT and streaming data collection.

Cost-Benefit 88

Cost-Benefit IoT Data Warehouse Manufacturing 88

IBM Big Data Hub

JULY 5, 2023

In the IoT era—with everything from valves to vehicles connected by sensors and systems—maintenance operators now have the opportunity to incorporate advanced analytics and artificial intelligence (AI) into everything they do.

Strategy 57

Strategy Management IoT Cost-Benefit 57

datapine

NOVEMBER 19, 2019

That way, any anomaly is identified with high accuracy, as it learns from historical trends and patterns: every unexpected event will be notified, and an alert sent. Some more examples of AI applications can be found in various domains: in 2020 we will experience more AI in combination with big data in healthcare. Connected Retail.

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

AUGUST 15, 2023

Generac transforms its business with data Organization: Generac Power Systems Project: PowerInsights IT Leader: Tim Dickson, CIO After arriving at Generac Power Systems as its new CIO, Tim Dickson hosted the company’s first-ever hackathon to upskill IT employees and evaluate the team. Anu Khare, senior vice president and CIO, Oshkosh Corp.

IT 98

IT Manufacturing IoT Cost-Benefit 98

IBM Big Data Hub

MAY 17, 2023

They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. It can offer data on demand to different business units within an organization, with the help of various sensors and payloads. The global commercial drone market is projected to grow from USD 8.15

Data Collection 84

Data Collection Visualization Data-driven Unstructured Data 84

AWS Big Data

FEBRUARY 21, 2023

SQL Depth Runtime in Seconds Cost per Query in Seconds 14 80 40,000 12 60 30,000 5 30 15,000 3 25 12,500 The hybrid model addresses major issues raised by the data vault and dimensional model approaches that we’ve discussed in this post, while also allowing improvements in data collection, including IoT data streaming.

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Modeling 65

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise. Upcoming Events.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Rocket-Powered Data Science

JULY 21, 2023

My strong interest hasn’t diminished, and neither has Splunk’s developments and product releases in that space, as seen in observability’s prominent mention within many of Splunk’s announcements at this year’s.conf23 event.

Machine Learning 189

Machine Learning Metrics Reporting Internet of Things 189

Sisense

JULY 23, 2021

Our Olympic Games Executive Director Christophe Dubi has a very strong belief in the notion that we can’t properly manage an Olympic event unless we can measure it.”. Athletes and sports are the heart of the Games, and the competition schedule drives everything around the event. The results have been highly valuable.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

IBM Big Data Hub

MARCH 20, 2024

All major public cloud providers continuously update and maintain their infrastructure and leverage the highest data protection and security requirements to prevent data breaches. artificial intelligence (AI) , edge computing, the Internet of Things (IoT) ). Innovation: Access cutting-edge technologies (e.g.,

Internet of Things 99

Internet of Things Cost-Benefit Data Processing IoT 99

O'Reilly on Data

MARCH 24, 2020

Beyond the autonomous driving example described, the “garbage in” side of the equation can take many forms—for example, incorrectly entered data, poorly packaged data, and data collected incorrectly, more of which we’ll address below. The model and the data specification become more important than the code.

Machine Learning 346

Machine Learning Statistics Data Quality Modeling 346