Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Are you seeing any specific issues around the insurance industry at the moment that should concern CDAOs?

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

JUNE 26, 2023

Overview of solution In this post, we go through the various steps to apply ML-based fuzzy matching to harmonize customer data across two different datasets for auto and property insurance. Transform raw insurance data into CSV format acceptable to Neptune Bulk Loader , using an AWS Glue extract, transform, and load (ETL) job.

Insurance 83

Insurance Visualization Data Lake Metrics 83

DataRobot Blog

JULY 21, 2022

Data scientists need to understand the business problem and the project scope to assess feasibility, set expectations, define metrics, and design project blueprints. Outline clear metrics to measure success. Machine learning models created in silos are rarely implemented. Not every project needs machine learning.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

datapine

OCTOBER 21, 2020

Now that we live longer, treatment models have changed and many of these changes are namely driven by data. By utilizing key performance indicators in healthcare and healthcare data analytics, prevention is better than cure, and managing to draw a comprehensive picture of a patient will let insurance provide a tailored package.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

O'Reilly on Data

OCTOBER 11, 2022

Data integration problems aren’t pretty; they’re boring, uninteresting, the “killing field of any modeling project,” as Lorien Pratt has said. The models exist, and are potentially very useful; but on the ground, firefighters and others who respond to emergencies still use paper maps. This leads to a “knowledge decision gap.”

Data Integration 286

Data Integration Insurance Dashboards Modeling 286

CIO Business Intelligence

MAY 31, 2022

They are the blueprints for all kinds of business functions, enabling disparate parts of the organization to work together and to interact with suppliers and customers. A company can only be as flexible, efficient, and agile as the interaction of its business processes allow. BPM vs. RPA.

Enterprise 76

Enterprise Management Interactive Software 76

Cloudera

JULY 20, 2021

Once companies are able to leverage their data they’re then able to fuel machine learning and analytics models, transforming their business by embedding AI into every aspect of their business. . Risk models for financial institutions and insurers are exponentially more complicated . Airline schedules and pricing algorithms.

Manufacturing 104

Manufacturing Forecasting IoT Insurance 104

O'Reilly on Data

FEBRUARY 20, 2024

Interest and usage have increased as OpenAI has released more capable versions of its language model: GPT-3.5 Google’s Bard/Gemini, Anthropic’s Claude, and other models have made similar improvements. Customers fear even worse interactions with customer service, but look forward to new kinds of products.

Insurance 180

Insurance Modeling Technology Reporting 180

CIO Business Intelligence

AUGUST 15, 2023

Shamim Mohammad, CIO, CarMax CarMax That volume created a Sisyphean task for the company’s content writers, as they struggled to provide up-to-date information by make, model, and year for each vehicle in the company’s constantly changing inventory. And it yields multiple business metric improvements, such as limiting surplus inventory.

IT 93

IT Manufacturing IoT Cost-Benefit 93

CIO Business Intelligence

MAY 16, 2023

The industries these decision-makers represented include insurance, banking, healthcare and life sciences, government, entertainment, and energy in the U.S. AI Opportunities Generative AI is the basis for sophisticated AI models such as ChatGPT and Dall-E. and tokenization.

Advertising 86

Advertising Recreation/Entertainment Experimentation Enterprise 86

Occam's Razor

APRIL 30, 2018

I cannot stress enough that these results can be positive (for the ad business and, in this case, the sales of insurance products). Even on the platforms where interactivity is at its very core (Instagram, Facebook, YouTube, etc.), almost all of the advertising does not elicit any sort of interactivity. Why not global maxima?

Advertising 117

Advertising Metrics Measurement Insurance 117

bridgei2i

JULY 8, 2020

And if you’re a banker or an insurer, you’re probably busy figuring out how to measure these risks, mobilize these resources, and fund capital that’s going to provide strong growth. Can we model the impact for such structural shocks? Listen Now Insurance is among the most-affected industries of the novel Coronavirus.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

Juice Analytics

MARCH 11, 2021

3) That’s where our data visualization and user experience capabilities helped them turn this data into a web-based analytical tool that focused users on the metrics and peer groups they cared about. Predictive models to take descriptive data and attempt to tell the future. Let’s dive a little deeper into those three elements: 1.

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

AWS Big Data

MARCH 7, 2023

It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. It enables you to create interactive dashboards, visualizations, and advanced analytics with ML insights.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

CIO Business Intelligence

APRIL 15, 2024

The senior vice president and chief information and strategy officer at National Life Group, has spent years executing a technology roadmap to modernize the insurance company. Nimesh Mehta might not have millions of followers on social media, yet he still considers himself an influencer.

Digital Transformation 124

Digital Transformation Strategy Technology Enterprise 124

AWS Big Data

JUNE 6, 2023

Rule Type Description AggregateMatch Checks if two datasets match by comparing summary metrics like total sales amount. This simple pricing model doesn’t lock you into annual licenses. The following table lists the rules that are supported by AWS Glue Data Quality as of writing. ColumnCount Checks if any columns are dropped.

Data Quality 96

Data Quality Statistics Data Lake Visualization 96

Data Insight

OCTOBER 27, 2021

Retail: Virtual shopping with personalised recommendations, store layout and stock management, virtual customer assistance responding to enquiries outside of human interaction. How Data Insight helped a leading insurer deepen its relationship with existing customers. The benefits of AI for businesses.

Machine Learning 52

Machine Learning Insurance Cost-Benefit Unstructured Data 52

DataRobot

JUNE 23, 2021

As they strive to improve models, data scientists continually try new approaches to refine their predictions. After adding the preferred code, teams can take advantage of the existing DataRobot capabilities, such as metrics, explainability, visualizations, deployment, monitoring, collaboration, and governance. So let’s dig in!

Machine Learning 52

Machine Learning Experimentation Visualization Modeling 52

IBM Big Data Hub

AUGUST 2, 2023

With the use of customer data provided by chatbots, businesses can: Expand their knowledge base on issues that plague customers during their service experience Reduce wait times throughout the customer journey, allowing service teams to concentrate on more significant customer interactions that need legitimate human intervention.

Recreation/Entertainment 52

Recreation/Entertainment Insurance ROI Marketing 52

AWS Big Data

AUGUST 14, 2023

Taken together, the posts in this series lay out some possible operating models for data mesh within an organization. Earlier in their lifecycle, data products may be measured by alternative metrics, including adoption (number of consumers) and level of activity (releases, interaction with consumers, and so on).

Management 81

Management Risk Measurement Optimization 81

Birst BI

OCTOBER 30, 2018

Descriptive analytics techniques are often used to summarize important business metrics such as account balance growth, average claim amount and year-over-year trade volumes. The credit scores generated by the predictive model are then used to approve or deny credit cards or loans to customers. Accounts in use.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

AWS Big Data

FEBRUARY 21, 2023

Data warehouses are mostly built using the dimensional model approach, which has consistently met business needs. Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challenges that clinical quality management systems face.

Data Warehouse 67

Data Warehouse Data Lake Cost-Benefit Modeling 67

Peter James Thomas

AUGUST 12, 2018

Pertinence and fidelity of metrics developed from Data. Metrics are seldom reliant on just one data element, but are often rather combinations. There are often compromises to be made in defining metrics. Again see Using BI to drive improvements in data quality for further details. Some of these are based on the data available.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Insight

NOVEMBER 5, 2019

Can we ever hope to appreciate the interactions between hundreds or thousands of factors that shape outcomes for a single patient? Such a model would be able to answer the difficult questions above. A Multimodal Deep Learning Model A flexible, multimodal architecture for predicting diagnoses or survival from ICU data.

Deep Learning 61

Deep Learning Modeling Insurance Metrics 61

Domino Data Lab

JULY 28, 2021

In its current form , data science is limitless in terms of industry and application; the only requirement is data, compute power, data scientists, and a desire to become model-driven. Today, data is generated constantly through multiple channels including transactional systems, sensors, cameras, and online interactions.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Domino Data Lab

SEPTEMBER 9, 2019

Typically, there are contracts (sales contracts, work agreements, partnerships), there are invoices, there are insurance policies, there are regulations and other laws, and so on. We have configured the default Compute Environment in Domino to include all of the packages, libraries, models, and data you’ll need for this tutorial.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

FineReport

APRIL 9, 2024

Through the utilization of predictive models, clinicians can forecast patient outcomes and resource needs, enabling early intervention and personalized care delivery. Healthcare data visualization tools play a vital role in presenting performance metrics and outcome indicators in a visually accessible format.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Occam's Razor

DECEMBER 12, 2016

I was speaking with a massive national insurance company recently. AND, that if I have good ideas, they will get to market very quickly – making our engagement worth the current interaction and the continued success of new ideas after the engagement. Digital Marketing & Measurement Model. That's it. Management.

Analytics 141

Analytics Data-driven Strategy Consulting 141

Sisense

DECEMBER 11, 2019

He outlined how critical measurable results are to help VCs make major investment decisions — metrics such as revenue, net vs gross earnings, sales , costs and projections, and more. And he demonstrated how the Periscope Data platform overcomes the challenges of huge data volumes that can’t be easily modeled by traditional BI.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Alation

AUGUST 26, 2021

Finally, data catalogs leverage behavioral metadata to glean insights into how humans interact with data. These future-oriented models are used to make predictions. A common BI application is the BI dashboard, which displays key metrics so that leaders have a “big picture view” to inform wise goals and decisions.

Metadata 64

Metadata Data Governance Dashboards Software 64

Occam's Razor

JULY 26, 2010

For example let's say I work at a delightful car / health / spaceship insurance company. PALM: People Against Lonely Metrics]. So why not your metrics? This is the problem with lonely metrics. Why not find a BFF for your lonely metric and present something like this. Or an actual outcome metric.

Metrics 96

Metrics Measurement Dashboards Reporting 96

AWS Big Data

SEPTEMBER 13, 2023

A modern data architecture is an evolutionary architecture pattern designed to integrate a data lake, data warehouse, and purpose-built stores with a unified governance model. Amazon Athena is used for interactive querying and AWS Lake Formation is used for access controls.

Data Lake 93

Data Lake Data Processing Metadata Snapshot 93

Domino Data Lab

JULY 22, 2019

how “the business executives who are seeing the value of data science and being model-informed, they are the ones who are doubling down on their bets now, and they’re investing a lot more money.” You know, companies like telecom and insurance, they don’t really need machine learning.” Transcript.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

FEBRUARY 4, 2019

Lately there’s been lots of dialog about bias in machine learning models, though considering the noise part of the equation is an important corollary. Interactive media plays a much larger role in our work than merely the presentations or blog posts. Problems with training ML models efficiently. Or something.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role. Try some gamification?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52