IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. AWS, on the other hand, provides robust, scalable cloud infrastructure.

Insurance 87

Insurance Data Warehouse Data-driven Unstructured Data 87

Laminar Security

AUGUST 21, 2023

The Shifting Data Security Landscape Cloud service providers (CSPs) have revolutionized data analytics and data pipelines, presenting data security teams with novel challenges. This provides critical insights into previously unassessed business risks.

Management 40

Management Risk Unstructured Data Data Strategy 40

Smart Data Collective

DECEMBER 21, 2020

We previously talked about the benefits of data analytics in the insurance industry. One report found that big data vendors will generate over $2.4 Key benefits of AI include recognizing speech, identifying objects in an image, and analyzing natural or unstructured data forms. billion from the insurance industry.

Insurance 135

Insurance Cost-Benefit Big Data Unstructured Data 135

CIO Business Intelligence

OCTOBER 3, 2023

They enable greater efficiency and accuracy and error reduction, better decision making, better compliance and risk management, process optimisation and greater agility. Intelligent document processing: uses artificial intelligence and machine learning techniques to automate the processing of documents and unstructured data.

Cost-Benefit 122

Cost-Benefit Machine Learning Interactive Software 122

IBM Big Data Hub

FEBRUARY 14, 2024

They can streamline workflows to increase efficiency and reduce time-consuming tasks and the risk of error in production, support, procurement and other areas. Many stock market transactions use ML with decades of stock market data to forecast trends and ultimately suggest whether and when to buy or sell.

Cost-Benefit 90

Cost-Benefit Insurance Unstructured Data Machine Learning 90

Smart Data Collective

NOVEMBER 25, 2019

Just as companies are becoming more aware of the value of data, so are hackers — and as a result, the frequency and cost of data breaches are beginning to skyrocket. In the future, companies that come to rely on these new data sources will also need to protect that data — or risk the consequences.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

Cloudera

OCTOBER 21, 2020

New processes, research, and data analytics are under pressure to help identify what should be paid, and what should not. After all, at its core, insurance is a data business. The entire business boils down to the accurate assessment of risk through data. Health data. Financial data.

Insurance 72

Insurance Unstructured Data Digital Transformation Cost-Benefit 72

Smart Data Collective

SEPTEMBER 26, 2019

Unstructured. Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming. Semi-structured data contains a mixture of both structured and unstructured data. Data Integration. Semi-structured.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

Sisense

JANUARY 22, 2021

For example, one fintech problem requiring actionable insights today is credit risk assessment. That advice is a quintessential actionable insight: The algorithm models the applicant’s probability of success by training on a mountain of historical data and market factors.

Machine Learning 52

Machine Learning Unstructured Data Forecasting Advertising 52

CIO Business Intelligence

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work.

Finance 98

Finance IT Software Reporting 98

Smart Data Collective

FEBRUARY 2, 2021

However, some industries have more to benefit from Big Data than others and have reached impressive milestones because data science and data analytics have helped them streamline their operations. The implementation of Big Data has huge potential in the healthcare industry , and the past few years are only the beginning.

Big Data 85

Big Data Recreation/Entertainment Cost-Benefit Finance 85

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 61

Machine Learning Data Science Statistics Deep Learning 61

Alation

FEBRUARY 13, 2020

At some level, every enterprise is struggling to connect data to decision-making. In The Forrester Wave: Machine Learning Data Catalogs, 36% to 38% of global data and analytics decision makers reported that their structured, semi-structured, and unstructured data each totaled 1,000 TB or more in 2017, up from only 10% to 14% in 2016.

ROI 52

ROI Cost-Benefit Unstructured Data Data Lake 52

Smart Data Collective

JUNE 7, 2019

We’ll also deal with how big data stream processing can help new emerging markets in the world. What is Big Data? Big Data is defined as a large volume of structured and unstructured data that a business comes across their day-to-day operations. However, the amount of data isn’t really a big deal.

Big Data 81

Big Data Marketing Cost-Benefit Unstructured Data 81

Smart Data Collective

FEBRUARY 3, 2021

Big data is changing the nature of the financial industry in countless ways. The market for data analytics in the banking industry alone is expected to be worth $5.4 However, the impact of big data on the stock market is likely to be even greater. billion by 2026.

Big Data 139

Big Data Marketing Data Analytics Analytics 139

IBM Big Data Hub

DECEMBER 16, 2022

In other words, a data catalog makes the use of data for insights generation far more efficient across the organization, while helping mitigate risks of regulatory violations. Because Alex can use a data catalog to search all data assets across the company, she has access to the most relevant and up-to-date information.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

BizAcuity

APRIL 14, 2022

Its effective data analytics that allows personalization in marketing & sales, identifying new opportunities, making important decisions and being sustainable for the long term. Competitive Advantages to using Big Data Analytics. Unstructured Data Management. Big Data Storage Optimization.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? Why is data analytics important for travel organizations?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Jet Global

JUNE 18, 2019

Over the past few years, we’ve already seen transformation on a massive scale thanks to how businesses are harnessing and utilizing the new wealth of data available to them. Big Business Needs Big Data. The impact of data on business success doesn’t simply lie in the ability of businesses to collect the data itself.

Big Data 75

Big Data Software Data Analytics Analytics 75

Jet Global

OCTOBER 3, 2019

Over the past few years, we’ve already seen transformation on a massive scale thanks to how businesses are harnessing and utilizing the new wealth of data available to them. Big Business Needs Big Data. The impact of data on business success doesn’t simply lie in the ability of businesses to collect the data itself.

Big Data 53

Big Data Software Data Analytics Analytics 53

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

Ontotext

FEBRUARY 26, 2024

The answers to these foundational questions help you uncover opportunities and detect risks. We bundle these events under the collective term “Risk and Opportunity Events” This post is part of Ontotext’s AI-in-Action initiative aimed to empower data, scientists, architects and engineers to leverage LLMs and other AI models.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Cloudera

FEBRUARY 7, 2023

To advance these efforts, banks are increasingly turning to data, data analytics, and machine learning (ML) and artificial intelligence (AI) to better understand and serve the financial needs of underserved communities.

Technology 74

Technology Unstructured Data Insurance Machine Learning 74

Cloudera

JULY 29, 2022

Is yours among the organizations hoping to cash in big with a big data solution? Organizations have good reason to believe that adopting data analytics tools and hiring data professionals will allow them to extract the full value of their data. Read on to be sure you set yourself up for success. .

Data Architecture 86

Data Architecture Data Strategy Risk Management Strategy 86

Smart Data Collective

JULY 31, 2022

However, predictive analytics will probably be even more important as global uncertainty is higher than ever. Traders will have to use it to manage their risks by making more informed decisions. The Spring 2022 forecast’s many unfavorable risks have come to fruition. This has tremendous promise for traders.

Predictive Analytics 134

Predictive Analytics Analytics Uncertainty Forecasting 134

bridgei2i

FEBRUARY 28, 2020

The firm has a new personal finance app Mimo, which uses open-banking application programming interfaces, artificial intelligence (AI) and data analytics to create a social feed that helps customers manager their money.”. With AI, apart from the quantitative data, unstructured data systems can be assessed for risk management.

Risk Management 78

Risk Management Unstructured Data Machine Learning Digital Transformation 78

IBM Big Data Hub

NOVEMBER 10, 2023

These capabilities are needed to establish patient attribution, identify individual patients with gaps in care, and update the patient care plan with the necessary actions to address the patient risks and care gaps.

Cost-Benefit 106

Cost-Benefit Insurance Consulting Unstructured Data 106

Cloudera

SEPTEMBER 15, 2022

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API. Diversity of workloads.

Metadata 87

Metadata Big Data Optimization Unstructured Data 87

Cloudera

AUGUST 21, 2020

Perhaps one of the most significant contributions in data technology advancement has been the advent of “Big Data” platforms. Historically these highly specialized platforms were deployed on-prem in private data centers to ensure greater control , security, and compliance. How can we mitigate security and compliance risk? .

Cost-Benefit 74

Cost-Benefit Big Data ROI Risk 74

AWS Big Data

FEBRUARY 21, 2023

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. Additionally, scalability of the dimensional model is complex and poses a high risk of data integrity issues.

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Modeling 65

Sisense

MAY 4, 2020

In his article in Forbes , he discussed how some of the biggest names in global business — Nike, Burger King, and McDonald’s — and progressive newer entrants to huge sectors like insurance, are embracing data and analytics technology as a platform on which to build their competitive advantages. Organizations must adapt or die.

Big Data 78

Big Data Data-driven Snapshot Unstructured Data 78

Grooper

AUGUST 19, 2019

The vocabulary of applied analytics includes words and concepts such as: Key performance indicators (KPIs). Master data management. Data governance. Scoring – i.e. profitability or risk. Structured, semi-structured, and unstructured data. Data pipelines. Business Analytics. Primary keys.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

AWS Big Data

JULY 20, 2023

Orca Security is an industry-leading Cloud Security Platform that identifies, prioritizes, and remediates security risks and compliance issues across your AWS Cloud estate. To overcome these issues, Orca decided to build a data lake. About the Authors Eliad Gat is a Big Data & AI/ML Architect at Orca Security.

Data Lake 88

Data Lake Analytics Snapshot Optimization 88

CIO Business Intelligence

JANUARY 20, 2023

Topping the list of executive priorities for 2023—a year heralded by escalating economic woes and climate risks—is the need for data driven insights to propel efficiency, resiliency, and other key initiatives. Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need.

Analytics 137

Analytics Key Performance Indicator Unstructured Data IoT 137

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

datapine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. Improved risk management: Another great benefit from implementing a strategy for BI is risk management.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218