Smart Data Collective

SEPTEMBER 15, 2019

One of the biggest ways that it is disrupting the industry is by creating new engagement strategies and optimizing relationships. Spotify developed a new tool last year called Publishing Analytics that helps music companies get the most value of their data. Choosing a niche with big data and predictive analytics.

Big Data 79

Big Data Optimization Insurance Predictive Analytics 79

IBM Big Data Hub

OCTOBER 30, 2023

IBM and AWS partnership focuses on delivering solutions in areas like: Supply chain optimization with AI-infused Planning Analytics IBM Planning Analytics on AWS offers a powerful platform for supply chain optimization, blending IBM’s analytics expertise with AWS’s cloud capabilities.

Insurance 83

Insurance Data Warehouse Data-driven Unstructured Data 83

IBM Big Data Hub

FEBRUARY 14, 2024

Process automation is often centered on efforts to optimize spend, achieve greater operational efficiency and incorporate new and innovative technologies, which often translate into a better customer experience. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies.

Cost-Benefit 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

FineReport

APRIL 9, 2024

Optimized Operational Efficiency: These tools streamline processes and resource allocation, leading to cost savings and improved resource utilization. Through real-time data analysis and predictive insights, clinicians can tailor treatment approaches to individual patient requirements, fostering a personalized approach to care delivery.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CIO Business Intelligence

JUNE 16, 2022

BPM tools help organizations create, execute, optimize, and monitor business processes. Its system, called the Transformation Acceleration Platform, is designed to capture all types of workflows, but Arrayworks maintains a particular focus on insurance automation. AuraQuantic.

Management 115

Management Insurance Software Digital Transformation 115

IBM Big Data Hub

FEBRUARY 23, 2024

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.

Enterprise 103

Enterprise Interactive Data-driven Key Performance Indicator 103

Smart Data Collective

JUNE 5, 2023

It optimizes energy consumption, reducing your bills and helping the planet too. Besides offering peace of mind, these features can reduce home insurance premiums. No more forgetting to turn down the heat when you leave. No more chilly surprises in the morning. Sounds nice, doesn’t it? Now that’s smart.

Cost-Benefit 91

Cost-Benefit Insurance Big Data Predictive Analytics 91

Cloudera

JANUARY 5, 2023

Faced with even more pressure to remain resilient and agile amid looming global economic threats, Asia-Pacific (APAC) region businesses are looking to further mobilize emerging technologies such as artificial intelligence (AI) and machine learning that will optimize operational efficiencies and cost savings. .

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

datapine

OCTOBER 11, 2023

Being able to inform your strategies with actual facts instead of intuition will enable you to optimize your resources and ensure you are continuously improving. Among the many strategies and technologies organizations use to keep these costs at a minimum, predictive analytics is one of the most effective ones.

Metrics 217

Metrics KPI Management Cost-Benefit 217

Smart Data Collective

SEPTEMBER 28, 2022

For example, if you want to know what products customers prefer when shopping at your store, you can use big data analytics software to track customer purchases. You can then optimize product placement on the shelves or product placement in advertisements based on customer preference. Conclusion.

Big Data 105

Big Data Management Data Quality Cost-Benefit 105

Domino Data Lab

JULY 28, 2021

It is the job of a data scientist to navigate these subtle differences, pick the model that aligns best with the problem statement, optimize and monitor performance and translate the findings back into a business context. These changes often personify themselves as square roots, lambdas or inverted matrices.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Cloudera

SEPTEMBER 7, 2023

The Danger of Black-Box AI Solutions We believe the best, most pragmatic solution for AI in financial services and insurance is what we call–“Trusted AI.” The hybrid platform’s automation capabilities are crucial in this stage, allowing for more rapid adaptation and richer analytics. Plan to scale for the future.

Insurance 78

Insurance Risk Data-driven Modeling 78

Sisense

MARCH 27, 2019

It also lets companies provide users with the data they need to complete their jobs more effectively, and even assists in predictive analytics. Finally, real-time BI helps better understand trends and create more accurate predictive models for organizations. Why is Real-Time BI Crucial for Organizations? Who Uses Real-Time BI?

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

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. I love your optimism Ganesh, and I love the fact that you are able to abstract information in such clear buckets.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

Smart Data Collective

NOVEMBER 12, 2021

Companies have found that data analytics and machine learning can help them in numerous ways. Big data has helped companies identify promising cost-saving measures, recruit the best talent, optimize their marketing strategies and realize many other benefits. There won’t be a need to find and hire staff with the know-how.

Data-driven 104

Data-driven Cost-Benefit Data mining Big Data 104

IBM Big Data Hub

FEBRUARY 2, 2023

They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights. In today’s world, data warehouses are a critical component of any organization’s technology ecosystem.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

Sisense

NOVEMBER 5, 2020

It will also give you access to advanced technologies like predictive analytics, which can help you get ahead of trends, alert you to staffing issues, skill gaps, and market fluctuations, and provide guidance in an uncertain world. Evolve to correlate data across systems.

People Analytics 85

People Analytics Analytics Digital Transformation Metrics 85

Decision Management Solutions

MARCH 12, 2020

Neal Silbert of DataRobot had an interesting post on the DataRobot blog last week – Outcome-Based Claims Assignment: The “New Grail” of Insurance. As he says “why make exceptions [to ensure the best assignment] when you can make an optimal assignment the rule?”

Insurance 69

Insurance Modeling Testing Management 69

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

Domino Data Lab

JULY 28, 2021

These advances have had huge ramifications across industries ranging from finance and banking to healthcare and insurance. They have enabled new cross-industry applications, such as in customer analytics and fraud detection. Reinforcement learning focuses on optimizing a specific decision.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Domino Data Lab

JANUARY 24, 2019

These data scientists require the flexibility to use a constantly-evolving software and hardware stack to optimize each step of their model lifecycle. In a similar vein, in 2018 Forrester split apart its “Wave” for predictive analytics products into two distinct Waves. Jupyter) or IDEs (e.g.,

Data Science 65

Data Science Marketing Data-driven Statistics 65

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

Smart Data Collective

AUGUST 29, 2022

Top ML approaches to improve your analytics. Today, there are many advanced ML approaches that you can use to enhance your analytics and gain valuable insights on how to optimize business processes, improve decision-making, build the right customer relationships, and leverage your market proposition. Predictive analytics.

Analytics 115

Analytics Predictive Analytics Machine Learning Insurance 115

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

Cloudera

JUNE 23, 2021

Climate change is a challenge for insurers in some obvious ways, such as stronger and more frequent natural disasters. Yet there are also more subtle risks to monitor, including changes to insured assets, risks, and exposures. Climate change is similar in the way it will also impact the insurer’s investment portfolio practices.

Insurance 52

Insurance Risk Modeling Risk Management 52

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. Design and build a decision model.

Insurance 40

Insurance Management Machine Learning Modeling 40

Ontotext

SEPTEMBER 2, 2020

Knowledge graphs enable content, data and knowledge-centric enterprises to improve repeated monetization of their assets by optimizing their reuse and repurposing as well as creating new products such as books, apps, reports, journal articles, content, and data feeds. The question of how to improve search was answered years ago.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

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

IBM Big Data Hub

JULY 17, 2023

.” Sean Im, CEO, Samsung SDS America “In the field of generative AI and foundation models, watsonx is a platform that will enable us to meet our customers’ requirements in terms of optimization and security, while allowing them to benefit from the dynamism and innovations of the open-source community.”

Machine Learning 65

Machine Learning Data Warehouse Modeling Cost-Benefit 65

Smart Data Collective

JUNE 30, 2023

Most of our discussions have centered around the use of AI in major financial institutions such as insurance companies, hedge fund management firms and financial advisory groups. By leveraging these resources, you can optimize your financial plan and stay on track toward achieving your goals.

Insurance 81

Insurance Finance Cost-Benefit Strategy 81

DataRobot Blog

SEPTEMBER 22, 2022

Since 2016, DataRobot has aligned with customers in finance, retail, healthcare, insurance and more industries in France with great success, with the first customers being leaders in the insurance space. . Leading French organizations are recognizing the power of AI to accelerate the impact of data science.

Big Data 52

Big Data Insurance Experimentation Data Science 52

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. For a time, I believed simulation was more useful a capability than optimization, at the time that larger firms were seeking optimization solutions. Do you play SimCity?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 4, 2021

As SAP’s primary ERP solution evolves, customers must be mindful that making the move to S/4HANA will likely impact the way they use reporting and analytics tools. After that, we will cover some of the key factors to consider as you plan your strategy for financial reporting and analytics on S/4HANA.

Reporting 52

Reporting IT Finance Data Warehouse 52