IBM Big Data Hub

JUNE 26, 2018

In this Q&A, IBM financial services solution architect Irina Saburova discusses an insurance use case with IBM Data Science Marketing Lead Rosie Pongracz.

Insurance 74

Insurance Data Science Forecasting Marketing 74

datapine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

CIO Business Intelligence

JUNE 7, 2022

Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Smart Data Collective

JULY 26, 2023

Big data has become an invaluable aspect to most modern businesses. Nevertheless, many companies have been reluctant to Harvard Business Review reports that only 30% of businesses have a data strategy. However, companies with data strategies are far more successful than those without.

Data-driven 74

Data-driven Management Sales Big Data 74

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. See what’s ahead AI can assist with forecasting.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

Smart Data Collective

JANUARY 26, 2022

Last year, we published an article on the ways that big law and big data are intersecting. Legal analytics is the process of implementing data into your decision-making on topics affecting legal forms and attorneys, like legal strategy, a matter of forecasting, and resource management. But what is legal analytics?

Data Analytics 72

Data Analytics Analytics Predictive Analytics Insurance 72

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. However, there are a lot of other benefits of big data that have not gotten as much attention. Here’s why.

Data-driven 103

Data-driven Cost-Benefit Data mining Big Data 103

IBM Big Data Hub

OCTOBER 30, 2023

Real-time data analytics helps in quick decision-making, while advanced forecasting algorithms predict product demand across diverse locations. AWS’s scalable infrastructure allows for rapid, large-scale implementation, ensuring agility and data security.

Insurance 78

Insurance Data Warehouse Data-driven Unstructured Data 78

Smart Data Collective

JUNE 5, 2023

Big data technology is changing our lives in tremendous ways. Besides offering peace of mind, these features can reduce home insurance premiums. Water Conservation Smart irrigation systems can adjust water usage based on weather forecasts and soil conditions, avoiding water wastage. Now that’s smart.

Cost-Benefit 90

Cost-Benefit Insurance Big Data Predictive Analytics 90

Smart Data Collective

NOVEMBER 17, 2021

Data analytics has become a crucial element of the financial industry. Financial institutions such as mutual funds and insurance companies are using big data to improve their operations. However, large financial organizations aren’t the only ones relying on big data technology.

Analytics 111

Analytics Big Data Data-driven ROI 111

IBM Big Data Hub

MARCH 27, 2024

Substantial repair costs might arise, particularly impacting insurance companies. Therefore, the states worked with Mercados EMI , a consultancy firm specializing in the energy sector, to build an AI-based demand forecasting system that uses weather pattern data and electricity demand data.

Risk 61

Risk Forecasting Insurance Strategy 61

datapine

OCTOBER 11, 2023

3) Top 15 Warehouse KPIs Examples 4) Warehouse KPI Dashboard Template The use of big data and analytics technologies has become increasingly popular across industries. By analyzing historical demand, they can forecast the inventory level they will need and avoid having high levels of unsold products.

Metrics 217

Metrics KPI Management Cost-Benefit 217

Smart Data Collective

AUGUST 7, 2022

Most of the discussions about the role of data analytics in finance have centered around traditional financial businesses, such as insurance, mutual funds, money management and other financial institutions. However, data analytics can be just as beneficial in the bitcoin trading sector.

Analytics 103

Analytics Data Analytics Finance Analytics Technologies 103

IBM Big Data Hub

FEBRUARY 13, 2024

Healthcare, insurance and education are more hesitant due to the legal and compliance efforts to which they must adhere—and the lack of insight, transparency and regulation in generative AI. Project management and operations : Generative AI tools can support project managers with automation within their platforms.

Enterprise 118

Enterprise Modeling Testing Data-driven 118

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 96

Enterprise Interactive Data-driven Key Performance Indicator 96

Smart Data Collective

MAY 11, 2023

The good news is that big data technology is helping banks meet their bottom line. Therefore, it should be no surprise that the market for data analytics is growing at a rate of nearly 23% a year after being worth $744 billion in 2020. Big data can help companies in the financial sector in many ways.

Data mining 98

Data mining Big Data Sales Cost-Benefit 98

CIO Business Intelligence

DECEMBER 7, 2022

We haven’t changed our forecast in three quarters,” he says, noting that the US gross domestic product (GDP) is, technically, already in recession territory and has been for the past six months. Megan Duty, VP of technology and project delivery, Puritan Life Insurance Company of America. Gartner predicts 2023 IT spending will grow 5.1%

IT 132

IT Insurance Cost-Benefit Risk Management 132

IBM Big Data Hub

NOVEMBER 2, 2022

During the event, we had the pleasure of hearing from many clients, including ALH Gruppe, a leading finance and insurance company in Germany who’s been using IBM Cognos Analytics with Watson for over a decade to support decision-making of all kinds, and recently tried our Business Analytics Enterprise solution. IBM Planning Analytics Engine.

Data-driven 60

Data-driven Business Analytics Analytics Forecasting 60

CIO Business Intelligence

MAY 24, 2022

Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. Insurance. Find out more about Cloudera Data Platform here. .

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

Cloudera

SEPTEMBER 15, 2022

Manufacturing, where the data they generate can provide new business opportunities like predictive maintenance in addition to improving their operational efficiency. Retail, where big data is used across all stages of the retail process—from product development, pricing, demand forecasting, and for inventory optimization in the stores.

Metadata 88

Metadata Big Data Optimization Unstructured Data 88

IBM Big Data Hub

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. Sometimes, these outputs are biased because the data used to train the model was incomplete or inaccurate in some way. Learn more about IBM watsonx 1.

Cost-Benefit 77

Cost-Benefit Metadata Data Governance Modeling 77

bridgei2i

FEBRUARY 21, 2019

The Optimizer helps businesses simulate and test scenarios for better forecasting and planning, optimal spend allocation and effective utilization of resources, and Converser makes the entire experience real by leveraging its conversational AI and interactive experiences in conjunction with Watchtower, Recommender, and Optimizer.

Digital Transformation 66

Digital Transformation Analytics Sales KPI 66

IBM Big Data Hub

APRIL 4, 2024

In a report from Technavio (link resides outside ibm.com), the private cloud services market size is estimated to grow at a CAGR of 26.71% between 2023 and 2028, and it is forecast to increase by USD 619.08

Data Processing 92

Data Processing Cost-Benefit Software Digital Transformation 92

IBM Big Data Hub

JUNE 15, 2023

This keeps maintenance information in one place and easily accessible to workers who must use it to perform regular maintenance activities like forecasting and replenishment. This can lead to a safer workplace environment as well as a reduction in theft—and lower insurance rates—over time.

Management 67

Management Broadcasting Cost-Benefit IoT 67

IBM Big Data Hub

MARCH 28, 2024

As cloud computing continues to transform the enterprise workplace, private cloud infrastructure is evolving in lockstep, helping organizations in industries like healthcare, government and finance customize control over their data to meet compliance, privacy, security and other business needs. billion by 2033, up from USD 92.64

Enterprise 99

Enterprise Cost-Benefit Data Processing Software 99

Domino Data Lab

JUNE 2, 2019

ans from Nick Elprin, CEO and co-founder of Domino Data Lab, about the importance of model-driven business: “Being data-driven is like navigating by watching the rearview mirror. If your business is using big data and putting dashboards in front of analysts, you’re missing the point.”. That may take a while.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Domino Data Lab

FEBRUARY 4, 2019

Stakeholders increasingly depend on results from data science teams. While, as individuals, they may be industry experts in finance, insurance, pharma, automotive, or whatever vertical, many still operate with pre-1960 notions about science, rhetoric, media, etc., and apply 17th century thinking about data. Taking a pulse.

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. But the growing recognition that mission success is more reliant on data outside the traditional boundaries and control of the organization is also part of it.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52