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 Enhancing Customer Experience.

Enterprise 40

Enterprise Digital Transformation Internet of Things IoT 40

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. These may not be high risk. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Now, there is a data risk here.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

OCTOBER 18, 2023

The procedure, often called kidney dialysis, cleansing a patient’s blood, substituting for the function of the kidneys, and is not without risk, however. About 10% of hemodialysis treatments result in intradialytic hypotension (IDH) — low blood pressure.

Predictive Analytics 133

Predictive Analytics Analytics Machine Learning Digital Transformation 133

FineReport

APRIL 11, 2023

Data Visualizations : Dashboards are configured with a variety of data visualizations such as line and bar charts, bubble charts, heat maps, and scatter plots to show different performance metrics and statistics. Operational dashboards feature data on various aspects of business operations and processes, such as IoT device power consumption.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

Smart Data Collective

SEPTEMBER 19, 2021

Furthermore, cloud storage, blockchain, artificial intelligence, and IoT are big drivers as well. Here are some of those in-demand skills at the moment; Risk assessment Linux expertise Splunk Kerberos Penetration testing Digital Forensics. Let’s look at what is driving the growth and changes in the cybersecurity industry.

Data-driven 119

Data-driven Big Data Marketing IoT 119

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

Domino Data Lab

MARCH 3, 2019

That’s most likely a mix of devops, telematics, IoT, process control, and so on, although it has positive connotations for the adoption of reinforcement learning as well. In the third survey, we tried to quantify the risks encountered by enterprise organizations as they progress through the steps of that journey.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

O'Reilly on Data

MARCH 24, 2020

John Myles White , data scientist and engineering manager at Facebook, wrote: “The biggest risk I see with data science projects is that analyzing data per se is generally a bad thing. This need will grow as smart devices, IoT, voice assistants, drones, and augmented and virtual reality become more prevalent.

Machine Learning 346

Machine Learning Statistics Data Quality Modeling 346

datapine

NOVEMBER 27, 2019

This is one of the major trends chosen by Gartner in their 2020 Strategic Technology Trends report , combining AI with autonomous things and hyperautomation, and concentrating on the level of security in which AI risks of developing vulnerable points of attacks. Industries harness predictive analytics in different ways.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Cloudera

MAY 18, 2021

Operational efficiency and risk reduction by automating most of the manual upgrade and configuration tasks being implemented manually in IaaS deployments. Technology and infrastructure costs . Cloudera subscription and compute costs. The result is to align cost with business value, irrespective of the technical use case deployed onto CDP.

Cost-Benefit 84

Cost-Benefit Data-driven Data Warehouse Machine Learning 84

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