bridgei2i

OCTOBER 7, 2020

Adoption of Automated Sales & Underwriting Strategies can Transform Insurance. Underwriting essentially means evaluating the risk proposition of an insurance cover and determining how much an insurer should charge for the same by studying historical data and statistical models. Authors: Sonam Jain & Prabuddha Jagadeb.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

bridgei2i

FEBRUARY 21, 2020

In fact, statistics from Maryville University on Business Data Analytics predict that the US market will be valued at more than $95 billion by the end of this year. IoT Continues to Boom. Wired reports how more and more companies are incorporating machine learning into IoT applications in order to gather deeper insights from data.

IoT 83

IoT Analytics Deep Learning B2B 83

CIO Business Intelligence

JUNE 5, 2023

Digital transformation is indeed a cornerstone of business strategy today, as 89% of enterprises see digital business as core to their growth, according to Gartner’s Board of Directors 2023 Survey. Equally telling is another statistic from that research: Just 35% of these enterprises have achieved their digital goals or are on track to do so.

Digital Transformation 144

Digital Transformation Manufacturing Strategy Management 144

CIO Business Intelligence

JUNE 28, 2022

And to do so, a solid data management strategy is key. More importantly, we also have statistical models that draw error bars that delineate the limits of our analysis. The devices from the internet of things (IoT) keep uploading data and users expect to browse a rich collection of these bytes forever.

Management 137

Management Internet of Things Statistics Data-driven 137

Smart Data Collective

JANUARY 10, 2023

IoT solutions as well as Business Intelligence tools are widely used by companies all over the world to improve their processes. BI and IoT are a perfect duo as while IoT devices can gather important data in a real team, BI software is intended for processing and visualizing this information. Will it make sense?

IoT 109

IoT Business Intelligence Visualization Internet of Things 109

Sisense

JUNE 12, 2019

In addition, providing a world-class analytics platform requires a deep understanding of how to best leverage AI/ML to support the needs of all users from the novice to the most technical. , our annual client conference, I gave a presentation that took a deep dive into artificial intelligence and subgroups including AI, ML, and statistics.

Analytics 75

Analytics Data-driven Dashboards IoT 75

Smart Data Collective

JUNE 26, 2019

It is also frequently used in the IoT for manufacturing. Averaging them is very simple, but we can get other statistics, such as: standard deviations and quartiles. This strategy provides statistical representations of all variables. The wide range of decision modeling features makes scikit-learn.

Machine Learning 77

Machine Learning Statistics Testing IoT 77

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

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

Cloudera

OCTOBER 5, 2023

If your organization lacks such skills, here’s what to do: employ technology that enables your data analysts to attack data science problems without necessitating a degree in statistics. Such a strategy builds data science skill with the advantage that your data analysts already know their data domains, shortening the time to value.

Data-driven 84

Data-driven Enterprise Data Governance Unstructured Data 84

Corinium

APRIL 25, 2019

Most of my days focus on understanding what’s happening in the market, defining overall product strategy and direction, and translating into execution across the various teams. And more recently, we have also seen innovation with IOT (Internet Of Things). And then there is the Cloud.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Smart Data Collective

SEPTEMBER 30, 2021

As the consequences of a global pandemic, cybersecurity statistics show a significant increase in data breaching and hacking incidents from sources that employees increasingly use to complete their tasks, such as mobile and IoT devices. Cybercrime and IoT devices. Businesses have a large number of employees working remotely.

Optimization 111

Optimization IoT Cost-Benefit Data-driven 111

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. . The commonly-accepted best practice in database system design for years is to use an exhaustive search strategy to consider all the possible variations of specific database operations in a query plan.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

Cloudera

JUNE 8, 2021

It’s just as much about changing the way people view business problems and diversifying their avenues of researching business solutions as it is about implementing specific IoT technologies. . An important aspect of the process is your metrics. Define the metrics you are going to use to measure your progress and success.

Manufacturing 86

Manufacturing Digital Transformation Metrics Measurement 86

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? ” “Just 26.5%

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. That represents a significant shift in strategy and cloud providers stand to benefit. AI tech startups selling capabilities into enterprise, please take note.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

datapine

NOVEMBER 27, 2019

In 2020, BI tools and strategies will become increasingly customized. Accordingly, the rise of master data management is becoming a key priority in the business intelligence strategy of a company. The trends we presented last year will continue to play out through 2020. Source: Business Application Research Center *.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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