AWS Big Data

MAY 16, 2023

QuickSight meets varying analytics needs with modern interactive dashboards, paginated reports, natural language queries, ML-insights, and embedded analytics, from one unified service. If it takes 10 minutes to analyze one sensor, it will cause the engineering team around 500 minutes per day just to analyze the questionable smart sensors.

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. You can also interact with filters on the right hand filter panel. Feel free to explore your data now.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

Sisense

JUNE 12, 2019

our annual client conference, I gave a presentation that took a deep dive into artificial intelligence and subgroups including AI, ML, and statistics. This includes such things as AI-powered data cleansing and modeling as well as general statistical analytics of the underlying data itself. Yesterday, during Eureka! ,

Analytics 75

Analytics Data-driven Dashboards IoT 75

datapine

JULY 17, 2019

Moreover, within just five years, the number of smart connected devices in the world will amount to more than 22 billion – all of which will produce colossal sets of collectible, curatable, and analyzable data, claimed IoT Analytics in their industry report. What does this mean? Now, let’s look at how to create a KPI report.

KPI 223

KPI Reporting Key Performance Indicator Dashboards 223

bridgei2i

SEPTEMBER 27, 2019

With an avalanche of tech such as Artificial intelligence (AI), Internet of Things (IoT), 5G Telephones, and Nanotechnology, the entirety of Science Technology Engineering Math (STEM) is advancing at a rapid rate. Indeed, Industrial Revolution 4.0

Enterprise 40

Enterprise Digital Transformation Internet of Things IoT 40

bridgei2i

SEPTEMBER 27, 2019

With an avalanche of tech such as Artificial intelligence (AI), Internet of Things (IoT), 5G Telephones, and Nanotechnology, the entirety of Science Technology Engineering Math (STEM) is advancing at a rapid rate. Indeed, Industrial Revolution 4.0

Enterprise 40

Enterprise Digital Transformation Internet of Things IoT 40

Smart Data Collective

FEBRUARY 17, 2021

There are a number of IoT applications in the healthcare sector , which have been gaining popularity in recent years. To prove the words, here’s statistics by Stanford Medicine : Nearly three out of four PCPs (72%) think that improving EHRs’ user interfaces could best address EHR challenges in the immediate future.

Big Data 71

Big Data Software Marketing Snapshot 71

datapine

AUGUST 20, 2019

Data velocity: It concerns the speed at which data flows from various sources such as machines, networks, human interaction, media sites, social media. With the rapid increase in the number of IoT devices, volume and variance of data sources have magnified. Data Ingestion Parameters. Data ingestion has 4 parameters.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

Business Over Broadway

MAY 22, 2019

IoT Artificial Intelligence. How employees can drive transformation and emerging technology adoption: Both are data-heavy endeavors; We know that statistics/math knowledge is related to data science project success. Remember that digital transformation is about transforming your business and operating models with technology.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

datapine

NOVEMBER 19, 2019

Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI. Gartner has stated that “artificial intelligence in the form of automated things and augmented intelligence is being used together with IoT, edge computing and digital twins.” Connected Retail.

Technology 279

Technology Internet of Things IT IoT 279

Rocket-Powered Data Science

JULY 14, 2023

This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative. I recently saw an informal online survey that asked users what types of data (tabular; text; images; or “other”) are being used in their organization’s analytics applications.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

Corinium

APRIL 25, 2019

And more recently, we have also seen innovation with IOT (Internet Of Things). For example auto insurance companies offering to capture real-time driving statistics from policy-holders’ cars to encourage and reward safe driving. And then the average insurance company can have millions of customers.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

FineReport

APRIL 11, 2023

Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders. These dashboards are more interactive than traditional static reports, allowing users to access underlying data for further analysis.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

Alation

JULY 7, 2022

The Bureau of Labor Statistics projects the job outlook for data scientists to grow 22% from 2020 to 2030. The vast volumes of data created by IoT, web interactions, and digital applications have given rise to new, data-centric roles. LinkedIn’s 2020 Emerging Job Report lists Data Scientist at #3 with 37% annual growth.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Cloudera

NOVEMBER 13, 2020

Operational, Cybersecurity, and IoT reporting where the current point in time state of an individual or single device needs to be analyzed. . Research has shown that, when statistics are unreliable, exhaustive optimizers can spend a lot of time planning queries and still produce very bad plans. More on this below. Metadata Caching.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

Rocket-Powered Data Science

OCTOBER 6, 2023

What is the point of those obvious statistical inferences? In statistical terms, the joint probability of event Y and condition X co-occurring, designated P(X,Y), is essentially the probability P(Y) of event Y occurring. How do predictive and prescriptive analytics fit into this statistical framework?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. ARIMA techniques are complex and drawing conclusions from the results may not be as straightforward as for more basic statistical analysis approaches. Data exploded and became big.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

O'Reilly on Data

MARCH 24, 2020

This need will grow as smart devices, IoT, voice assistants, drones, and augmented and virtual reality become more prevalent. So when you’re missing data or have “low-quality data,” you use assumptions, statistics, and inference to repair your data. HoloClean performs this automatically in a principled, statistical manner.

Machine Learning 352

Machine Learning Statistics Data Quality Modeling 352

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