CIO Business Intelligence

AUGUST 1, 2023

The impact of generative AIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. This opportunity is greater today because of generative AI, especially when CIOs centralize unstructured data in an LLM and enable service agents to ask and answer customers’ questions.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98

CIO Business Intelligence

APRIL 25, 2024

“The challenge that a lot of our customers have is that requires you to copy that data, store it in Salesforce; you have to create a place to store it; you have to create an object or field in which to store it; and then you have to maintain that pipeline of data synchronization and make sure that data is updated,” Carlson said.

Data Integration 111

Data Integration Data Lake Metadata Data Warehouse 111

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk. Well, sort of.

Insurance 86

Insurance Data Architecture Risk Management Risk 86

CIO Business Intelligence

MARCH 28, 2024

From using large language models (LLMs) for clinical decision support, patient journey trajectories, and efficient medical documentation, to enabling physicians to build best-in-class medical chatbots, healthcare is making major strides in getting generative AI into production and showing immediate value.

Unstructured Data 96

Unstructured Data Data-driven Risk Insurance 96

Cloudera

DECEMBER 11, 2020

These include the use of more data sources to gain insights and how cloud technologies can assist with digital transformation goals to be more agile and achieve objectives more quickly. Data Variety. Insurance and finance are two industries that rely on measuring risk with historical data models. Insurance .

Insurance 94

Insurance Digital Transformation Unstructured Data Machine Learning 94

erwin

JUNE 27, 2019

The need for an effective data modeling tool is more significant than ever. For decades, data modeling has provided the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Evaluating a Data Modeling Tool – Key Features.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

bridgei2i

AUGUST 2, 2020

The moment of truth in an insurance relationship a customer has with an insurer is when s/he submits a claim and then waits, with bated breath, for the settlement. Yet, claims need to be settled, now more than ever and the cost of a single mistake is high, both the customer and the insurer.

Digital Transformation 95

Digital Transformation Insurance Unstructured Data Cost-Benefit 95

CIO Business Intelligence

FEBRUARY 23, 2024

Honda has plans to roll out Microsoft’s ChatGPT Enterprise, also called Copilot, for its Office 365 workers using Outlook or PowerPoint, for example, and is actively piloting a GitHub AI model to gain efficiencies in application development, application maintenance, and IT service processes that are primarily internal.

IT 121

IT Manufacturing Unstructured Data Strategy 121

O'Reilly on Data

SEPTEMBER 19, 2023

But the grouping and summarizing just wasn’t exciting enough for the data addicts. Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. But in its early form of a Hadoop-based ML library, Mahout still required data scientists to write in Java. But then we hit another hurdle.

Machine Learning 243

Machine Learning Testing Modeling Cost-Benefit 243

IBM Big Data Hub

FEBRUARY 14, 2024

Other uses include Netflix offering viewing recommendations powered by models that process data sets collected from viewing history; LinkedIn uses ML to filter items in a newsfeed, making employment recommendations and suggestions on who to connect with; and Spotify uses ML models to generate its song recommendations.

Cost-Benefit 85

Cost-Benefit Insurance Unstructured Data Machine Learning 85

CIO Business Intelligence

FEBRUARY 21, 2024

At the heart of the issue is retrieval-augmented generation (RAG), a natural language processing technique combining data retrieval with a GenAI model. Before moving forward, CIOs consider the problem they are trying to solve with RAG and how complex their data is, then compare their needs with each data architecture’s pros and cons.

Insurance 63

Insurance Unstructured Data Data Architecture Technology 63

CIO Business Intelligence

JUNE 7, 2022

billion in cost savings for the insurance industry as well during the same period. . For banks, brokerages, insurance companies, fintech firms, and other financial services organizations, NLP is increasingly being seen as a solution to too much data and too few employees. The same study estimated that chatbots would lead to $1.3

Unstructured Data 92

Unstructured Data Deep Learning Insurance Interactive 92

Cloudera

DECEMBER 3, 2020

I came to the organization because of my interest in data & analytics specific to the insurance industry. Here are a few examples: Insurance: Now more than ever Insurers need to use technologies such as analytics and cloud to their advantage. It gives me all my fruits and veggies with an added boost! Reference Blog.

Insurance 53

Insurance Unstructured Data Manufacturing Data-driven 53

Ontotext

JANUARY 29, 2024

These will include developing a better understanding of AI, recognizing the role semantic metadata plays in data fabrics, and the rapid acceleration and adoption of knowledge graphs — which will be driven by large language models (LLMs) and the convergence of labeled property graphs (LPGs) and resource description frameworks (RDFs).

Strategy 52

Strategy Management Metadata Data-driven 52

CIO Business Intelligence

JULY 26, 2023

The only thing we have on premise, I believe, is a data server with a bunch of unstructured data on it for our legal team,” says Grady Ligon, who was named Re/Max’s first CIO in October 2022. The gen AI model will save agents time and create better listings.

Data Lake 97

Data Lake Digital Transformation Machine Learning Data Architecture 97

IBM Big Data Hub

FEBRUARY 2, 2023

Organizations looking to increase adoption of ML are turning to cloud data warehouses that support new, open data formats to catalog, ingest, and query unstructured data types.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

CIO Business Intelligence

NOVEMBER 18, 2022

Physician notes from visits and procedures, test results, and prescriptions are captured and added to the patient’s chart and reviewed by medical coding specialists, who work with tens of thousands of codes used by insurance companies to authorize billing and reimbursement. This is a dynamic view on data that evolves over time,” said Koll.

Insurance 74

Insurance Contextual Data Testing Unstructured Data 74

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

Data Warehouse 58

Data Warehouse Unstructured Data Analytics Visualization 58

CIO Business Intelligence

MAY 24, 2022

Today transactional data is the largest segment, which includes streaming and data flows. EXTRACTING VALUE FROM DATA. One of the biggest challenges presented by having massive volumes of disparate unstructured data is extracting useable information and insights. CLOUDERA DATA PLATFORM (CDP) IN ACTION.

Data-driven 88

Data-driven Data Lake Data Warehouse Cost-Benefit 88

Data Insight

OCTOBER 27, 2021

For example, looking at groups of data to compare certain metrics and then taking action or highlighting insights to employees, or searching a large breadth of data to find new perspectives on business challenges. Always-on rapid decisioning While Data Analysts can be highly skilled at what they do, they aren’t available 24/7.

Machine Learning 52

Machine Learning Insurance Cost-Benefit Unstructured Data 52

FineReport

JULY 28, 2021

Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information. What is Data Science? Insurance Dashboard (by FineReport).

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Cloudera

SEPTEMBER 17, 2020

They were not able to quickly and easily query and analyze huge amounts of data as required. They also needed to combine text or other unstructured data with structured data and visualize the results in the same dashboards. Query large-sized data without loading data back and forth and incurring twice the cost.

Experimentation 81

Experimentation Data Warehouse Dashboards Visualization 81

Smart Data Collective

FEBRUARY 2, 2021

By tracking patients’ health, drug interactions, and forecasting their needs, Big Data helps medical institutions deliver targeted solutions. Even last year, Big Data had a major role in predicting the pandemic patterns and creating models to contain the spread of the coronavirus.

Big Data 84

Big Data Recreation/Entertainment Cost-Benefit Finance 84

Ontotext

APRIL 27, 2021

B) The healthcare industry has the disadvantage of an enormous amount of data upon which to create hypotheses for new treatments. It is true that the healthcare sector, which includes hospitals, pharmaceuticals, and insurance companies, have an enormous amount of data. Answer: Both are true. Tried and Tested.

Knowledge Discovery 59

Knowledge Discovery Unstructured Data Insurance Testing 59

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. Ranger policies.

Metadata 87

Metadata Big Data Optimization Unstructured Data 87

AWS Big Data

FEBRUARY 21, 2023

Data warehouses are mostly built using the dimensional model approach, which has consistently met business needs. Additionally, scalability of the dimensional model is complex and poses a high risk of data integrity issues. What is a dimensional data model?

Data Warehouse 67

Data Warehouse Data Lake Cost-Benefit Modeling 67

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

bridgei2i

APRIL 9, 2019

The financial industry is undergoing a radical shift that’s being driven by mounting regulation and compliance pressures, changing business models, new competition from FinTechs, and disruptive technologies. For a more detailed outlook on fraud prevention, read our blog on How Analytics Can Protect Insurers from Fraud.

Unstructured Data 69

Unstructured Data Sales Data-driven Finance 69

bridgei2i

MAY 21, 2019

The financial industry is undergoing a radical shift that’s being driven by mounting regulation and compliance pressures, changing business models, new competition from FinTechs, and disruptive technologies. For a more detailed outlook on fraud prevention, read our blog on How Analytics Can Protect Insurers from Fraud.

Unstructured Data 40

Unstructured Data Sales Data-driven Finance 40

bridgei2i

MAY 7, 2019

The financial industry is undergoing a radical shift that’s being driven by mounting regulation and compliance pressures, changing business models, new competition from FinTechs, and disruptive technologies. For a more detailed outlook on fraud prevention, read our blog on How Analytics Can Protect Insurers from Fraud.

IoT 40

IoT Unstructured Data Finance Data-driven 40