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. AI-Powered Big Data Technology. Predictive Business Analytics. General-Audience AI Tools.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

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 74

Dashboards Statistics Data Collection Business Intelligence 74

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 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110

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

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

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

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

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 77

Management Broadcasting IoT Metrics 77

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

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.

Technology 279

Technology Internet of Things IT IoT 279

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

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 63

Data Warehouse Data Lake Cost-Benefit Modeling 63

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

Jet Global

MAY 9, 2024

Real-Time Analytics Pipelines : These pipelines process and analyze data in real-time or near-real-time to support decision-making in applications such as fraud detection, monitoring IoT devices, and providing personalized recommendations. As data flows into the pipeline, it is processed in real-time or near-real-time.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52