IBM Big Data Hub

FEBRUARY 23, 2024

The emergence of NLG has dramatically improved the quality of automated customer service tools, making interactions more pleasant for users, and reducing reliance on human agents for routine inquiries. These technologies enable systems to interact, learn from interactions, adapt and become more efficient. billion by 2030.

Enterprise 103

Enterprise Interactive Data-driven Key Performance Indicator 103

IBM Big Data Hub

JULY 11, 2023

This sort of routine monitoring and scheduling takes tasks off the hands of clinical staff, who can then spend more time directly on patient care, where human judgment and interaction matter most.

Deep Learning 57

Deep Learning Cost-Benefit Insurance Machine Learning 57

FineReport

APRIL 9, 2024

The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making. Through the utilization of predictive models, clinicians can forecast patient outcomes and resource needs, enabling early intervention and personalized care delivery.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Domino Data Lab

JULY 28, 2021

Data scientists have to work with different types of data, interact with different types of computer systems, program in various languages, work in different development environments and stitch all of their work together across the entire data science lifecycle. Computer Science Skills.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

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. Listen Now Insurance is among the most-affected industries of the novel Coronavirus. SERIES: COVID 19 | Redefining Digital Enterprises.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

datapine

OCTOBER 11, 2023

As seen in the image above, these costs can include employee salaries, taxes, insurance, storage, and even the investment opportunities that the business might be losing due to having a lot of resources tight to inventory. 3) Inventory turnover Next, in our warehouse metrics examples, we have the inventory turnover.

Metrics 217

Metrics KPI Management Cost-Benefit 217

Decision Management Solutions

NOVEMBER 19, 2020

Traditional companies—such as those in the insurance, healthcare, and financial services sectors—need to take an entirely different approach and stay true to their strengths rather than follow the lead of technology giants that are more comfortable with AI and have the resources for ambitious large-scale implementations.

IT 52

IT Modeling Insurance Technology 52

datapine

OCTOBER 21, 2020

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. 8) Predictive Analytics In Healthcare. with the impossibility to communicate properly.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Cloudera

NOVEMBER 4, 2020

Insurance is no different. Insurance is not something the average consumer thinks about every day but when a life changing event happens, insurance becomes extremely important. It is in this “Moment of Truth” that insurers excel or fail. To provide the best price, the insurer needs to better understand their customer.

Insurance 110

Insurance Machine Learning Risk IoT 110

Domino Data Lab

JULY 28, 2021

Today, data is generated constantly through multiple channels including transactional systems, sensors, cameras, and online interactions. These advances have had huge ramifications across industries ranging from finance and banking to healthcare and insurance.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Smart Data Collective

MAY 11, 2023

Predictive analytics and other big data tools help distinguish between legitimate and fraudulent transactions. Big Data is used more in property and casualty insurance than in other areas of actuarial practice. Health and life insurance have seen significant advances in Big Data use in recent years.

Data mining 99

Data mining Big Data Sales Cost-Benefit 99

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

CIO Business Intelligence

APRIL 15, 2022

In 2019, a study published in Science revealed that a healthcare prediction algorithm, used by hospitals and insurance companies throughout the US to identify patients to in need of “high-risk care management” programs, was far less likely to single out Black patients. Healthcare algorithm failed to flag Black patients.

Analytics 145

Analytics Machine Learning Insurance Testing 145

Decision Management Solutions

FEBRUARY 25, 2019

To keep processing costs low, many insurance carriers have a goal to increase the percentage of their claims that can be processed and decisioned with no human decision-making involved. Perhaps surprisingly, there remains a fair amount of human intervention involved in processing insurance claims. Focus on the decisions first.

Insurance 40

Insurance Management Machine Learning Modeling 40

Domino Data Lab

JULY 22, 2019

You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” You know, companies like telecom and insurance, they don’t really need machine learning.”

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Ontotext

SEPTEMBER 2, 2020

The automatic recognition of concepts leads to improved author productivity and context-based search results, which provides rich content analytics and interaction to subscribers. By maintaining a referential knowledge bases, health insurance agencies have been able to automatically discover inconsistencies within insurance claims.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

IBM Big Data Hub

JULY 17, 2023

offers a Prompt Lab, where users can interact with different prompts using prompt engineering on generative AI models for both zero-shot prompting and few-shot prompting. While they require task-specific labeled data for fine tuning, they also offer clients the best cost performance trade-off for non-generative use cases.

Machine Learning 65

Machine Learning Data Warehouse Modeling Cost-Benefit 65

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. On end user clients calls, are you hearing a greater focus on use cases and greater need for prescriptive analytics, ex marketing analytics, sales analytics, healthcare, etc.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52