erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. Data modeling basics.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

CIO Business Intelligence

MARCH 7, 2023

Vince Kellen understands the well-documented limitations of ChatGPT, DALL-E and other generative AI technologies — that answers may not be truthful, generated images may lack compositional integrity, and outputs may be biased — but he’s moving ahead anyway. And, he says, using generative AI for coding has worked well.

Enterprise 112

Enterprise IT Experimentation Unstructured Data 112

IBM Big Data Hub

DECEMBER 4, 2023

The most common insurance use cases include optimizing processes that require processing large documents and large blocks of text or images. Customer engagement Providing insurance coverage involves working with numerous documents. IBM works with several insurance companies to identify high-value opportunities for using generative AI.

Insurance 56

Insurance Digital Transformation Risk Management Interactive 56

bridgei2i

APRIL 23, 2020

The banking sector globally is definitely going to see impact, some more grave than the others and most of them are announcing short to mid term measure both from a customer and business risk mitigation standpoint. Europe is in worse shape than America, with banks in UK, Italy and Germany in the risk of being in red.

Risk 52

Risk Management Scorecard Forecasting 52

CIO Business Intelligence

DECEMBER 4, 2023

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. A modern ILM approach helps CIOs and their teams align processes to business objectives and regulatory requirements.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

Smart Data Collective

AUGUST 30, 2022

It also allows companies to offload large amounts of data from their networks by hosting it on remote servers anywhere on the globe. Cloud computing allows companies’ multiple servers to store and manage their data in a distributed fashion. Centralized data storage. Multi-cloud computing. Before you go.

Technology 134

Technology Enterprise Cost-Benefit Testing 134

CIO Business Intelligence

SEPTEMBER 21, 2023

AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. Today’s foundational models are jacks-of-all-trades. All of PwC’s clients are having this discussion, he says.

Enterprise 127

Enterprise Consulting Modeling Cost-Benefit 127

Ontotext

DECEMBER 16, 2021

Companies in the life sciences face data challenges on two fronts: Volume. Organizations in this sector often deal with multiple repositories of millions of documents on top of proprietary data from labs and other internal sources. That information enhances the graph, which improves the NLP model. See figure 1.).

Metadata 98

Metadata Reporting Unstructured Data Risk 98

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Data mining 57

Data mining Machine Learning Deep Learning Marketing 57

CIO Business Intelligence

AUGUST 17, 2023

But, as with any big new wave, there is a risk of once-promising projects being washed up and there are clear and obvious concerns over governance, quality and security. We ran workshops with every division of our business, educating them on the accelerating innovation in this area, brainstorming opportunities and risks.

Risk 89

Risk Cost-Benefit Strategy Experimentation 89

CIO Business Intelligence

JULY 14, 2023

Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations. But many organizations are limiting use of public tools while they set policies to source and use generative AI models.

Modeling 86

Modeling Machine Learning Cost-Benefit B2B 86

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

bridgei2i

OCTOBER 7, 2020

The unprecedented circumstances surrounding pandemic have increased awareness around insurable risks across different financial losses that can be covered as everyone in the world have faced financial losses like unemployment, travel cancellation, health issues, business interruptions, etc.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Octopai

MARCH 22, 2023

This makes it an ideal platform for organizations that handle sensitive data. Cost: Snowflake’s pricing model is based on usage, which means you only pay for what you use. This can be more cost-effective than traditional data warehousing solutions that require a significant upfront investment.

Cost-Benefit 78

Cost-Benefit Data Warehouse Unstructured Data Optimization 78

IBM Big Data Hub

SEPTEMBER 7, 2023

Today we are announcing our latest addition: a new family of IBM-built foundation models which will be available in watsonx.ai , our studio for generative AI, foundation models and machine learning. Collectively named “Granite,” these multi-size foundation models apply generative AI to both language and code.

Modeling 106

Modeling Risk Unstructured Data Enterprise 106

Ontotext

NOVEMBER 2, 2023

However, it will take effort to formalize a shared semantic model that can be mapped to data assets, and turn unstructured data into a format that can be mined for insight. This is the future of modern data and analytics and a critical enabler to getting more value and insight out of your data.

IT 69

IT Cost-Benefit Data-driven Technology 69

FineReport

APRIL 26, 2023

For example, a computer manufacturing company could develop new models or add features to products that are in high demand. E-commerce giants like Alibaba and Amazon extensively use big data to understand the market. Unlike traditional databases, processing large data volumes can be quite challenging.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

IBM Big Data Hub

DECEMBER 1, 2023

Role of generative AI in digital transformation and core modernization Whether used in routine IT infrastructure operations, customer-facing interactions, or back-office risk analysis, underwriting and claims processing, traditional AI and generative AI are key to core modernization and digital transformation initiatives.

Insurance 106

Insurance Digital Transformation Unstructured Data Risk 106

Ontotext

MAY 22, 2023

What is the future of knowledge graphs in the era of ChatGPT and Large Language Models? To start with, Large Language Models (LLM) will not replace databases. They are good for compressing information, but one cannot retrieve from such a model the same information that it got trained on. That’s something that LLMs cannot do.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

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. What more could we possibly want?

Machine Learning 247

Machine Learning Testing Modeling Cost-Benefit 247

Ontotext

FEBRUARY 26, 2024

The answers to these foundational questions help you uncover opportunities and detect risks. Further, RED’s underlying model can be visually extended and customized to complex extraction and classification tasks. Why do risk and opportunity events matter? , and “What is the financial impact?”.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Cloudera

NOVEMBER 14, 2023

Learn how JP Morgan Chase is “combining business, data, policy, and philanthropic resources, to improve housing affordability and stability as well as homeownership opportunities for Black, Latino, and Hispanic households in the greater Washington, DC area.”

Cost-Benefit 73

Cost-Benefit Unstructured Data Data-driven Risk 73

Cloudera

NOVEMBER 18, 2021

By adopting a custom developed application based on the Cloudera ecosystem, Carrefour has combined the legacy systems into one platform which provides access to customer data in a single data lake. As documents are reviewed to further validate the extracted sentiment, feedback is cycled back into the system for continual improvement.

Data Lake 74

Data Lake Cost-Benefit Digital Transformation Risk 74

IBM Big Data Hub

SEPTEMBER 13, 2023

Across media headlines, we see dark warnings about the existential risk of generative AI technologies to our culture and society. In supply chain, we take intentional but measured risks; we don’t swing for the fence. They get contextual information as well as factual data (PDFs, visual images, RFID tags information).

Visualization 74

Visualization Unstructured Data Interactive Technology 74

CIO Business Intelligence

NOVEMBER 18, 2022

3M 360 Encompass is a collection of applications that work together to help hospitals streamline processes, receive accurate reimbursement, promote compliance, and make data-informed decisions. The cloud served as the foundation for this transformation.

Insurance 75

Insurance Contextual Data Testing Unstructured Data 75

Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. This blog focuses on governing spreadsheets that contain data, information, and metadata, and must themselves be governed. Leaders seek to use strategic data with confidence more often.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

Cloudera

NOVEMBER 25, 2020

For example, it includes patient samples (blood, blood pressure, temperature, and more), patient information (age, gender, where they have lived, family situation, and other details), and treatment history, most of which is currently found only in paper documents. The Vision of a Discovery Data Warehouse.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57

IBM Big Data Hub

MAY 17, 2023

The data captured by the sensors and housed in the cloud flow into real-time monitoring for 24/7 visibility into your assets, enabling the Predictive Failure Model. DaaS uses built-in deep learning models that learn by analyzing images and video streams for classification.

Data Collection 83

Data Collection Visualization Data-driven Unstructured Data 83

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? They may also suffer from data duplication, which undermines their analytics models.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. The authors of AutoPandas observed that: The APIs for popular data science packages tend to have relatively steep learning curves.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Grooper

AUGUST 19, 2019

Connect the Dots Between Data Literacy, ISL, and the Requirements List. Data literacy is solved by a structured program of learning information as a second language (ISL). ISL eliminates data literacy by modeling the way we learn spoken language. Master data management. Data governance. Data pipelines.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

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 90

Unstructured Data Data-driven Risk Insurance 90

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 97

Digital Transformation Unstructured Data Strategy Experimentation 97

Alation

DECEMBER 15, 2021

This uncovers actionable intelligence, maintains compliance with regulations, and mitigates risks. Let’s explore the key steps for building an effective data governance strategy. What is a Data Governance Strategy? Data governance focuses on the daily tasks that keep information usable, understandable, and protected.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

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

CIO Business Intelligence

JULY 6, 2023

Classic examples are the use of AI to capture and convert semi-structured documents such as purchase orders and invoices, Fleming says. We’re also starting to see NLP [ natural language processing ] applied to unstructured text, such as categorizing an email or understanding the content of the email,” she says.

Cost-Benefit 116

Cost-Benefit Technology Unstructured Data Testing 116