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 53

Insurance Digital Transformation Risk Management Interactive 53

Ontotext

JULY 12, 2024

This enables our customers to work with a rich, user-friendly toolset to manage a graph composed of billions of edges hosted in data centers around the world. The blend of our technologies provides the perfect environment for content and data management applications in many knowledge-intensive enterprises.

Enterprise 59

Enterprise Cost-Benefit Metadata Data Integration 59

Sisense

AUGUST 18, 2019

It also supports hierarchical documentation of data. PostgreSQL is also open-source, but it’s a relational database that is much more concerned with standards compliance and extensibility than with giving you freedom over how you store data. they’re great for handling large volumes of unstructured data, at speed.

Unstructured Data 81

Unstructured Data Data Processing Dashboards Testing 81

AWS Big Data

JUNE 18, 2024

Text embeddings capture document semantics, while image embeddings capture visual attributes that help you build rich image search applications. You will use ML connectors to integrate OpenSearch Service with the Amazon Bedrock Titan Multimodal Embeddings model to infer embeddings for your multimodal documents and queries.

Dashboards 100

Dashboards Metadata Modeling Visualization 100

Cloudera

SEPTEMBER 1, 2020

DDE also makes it much easier for application developers or data workers to self-service and get started with building insight applications or exploration services based on text or other unstructured data (i.e. data best served through Apache Solr). Stores source documents. What does DDE entail?

Snapshot 70

Snapshot Unstructured Data Dashboards Interactive 70

Ontotext

MAY 25, 2023

This message resonates with the market positioning of Ontotext as a trusted, stable option for demanding data-centric use cases. During the conference, the organizers hosted a separate track called the Healthcare and Life Sciences Symposium. Knowledge graphs will continue to be essential for AI in the era of ChatGPT and LLM.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

Cloudera

JUNE 22, 2023

The stringent requirements imposed by regulatory compliance, coupled with the proprietary nature of most legacy systems, make it all but impossible to consolidate these resources onto a data platform hosted in the public cloud. Flexibility.

Cost-Benefit 64

Cost-Benefit Digital Transformation Data Governance Unstructured Data 64

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. Role of Software Development in Big Data.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

CIO Business Intelligence

JULY 14, 2023

A general LLM won’t be calibrated for that, but you can recalibrate it—a process known as fine-tuning—to your own data. Fine-tuning applies to both hosted cloud LLMs and open source LLM models you run yourself, so this level of ‘shaping’ doesn’t commit you to one approach. Some are general, others more targeted.

Modeling 98

Modeling Machine Learning Cost-Benefit B2B 98

AWS Big Data

FEBRUARY 1, 2024

It includes massive amounts of unstructured data in multiple languages, starting from 2008 and reaching the petabyte level. In the training of GPT-3, the Common Crawl dataset accounts for 60% of its training data, as shown in the following diagram (source: Language Models are Few-Shot Learners ). It is continuously updated.

Metadata 104

Metadata Modeling Data Processing Unstructured Data 104

Cloudera

JUNE 25, 2021

Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to move both tables/structured data and files/unstructured data to the CDP cloud of their choice easily. The Replication Manager support matrix is documented in our public docs.

Data Lake 73

Data Lake Metadata Unstructured Data Management 73

Cloudera

AUGUST 16, 2021

Hundreds of built-in processors make it easy to connect to any application and transform data structures or data formats as needed. Since it supports both structured and unstructured data for streaming and batch integrations, Apache NiFi is quickly becoming a core component of modern data pipelines.

Dashboards 121

Dashboards Metrics KPI Data-driven 121

datapine

JUNE 5, 2019

Without the existence of dashboards and dashboard reporting practices, businesses would need to sift through colossal stacks of unstructured data, which is both inefficient and time-consuming. Dashboards allow you to “tease out” patterns in your data that you might not see in a purely numerical format.

Dashboards 316

Dashboards KPI Sales Visualization 316

FineReport

APRIL 26, 2023

Apache Hadoop Apache Hadoop is a Java-based open-source platform used for storing and processing big data. It is based on a cluster system, allowing it to efficiently process data and run it parallelly. It can process structured and unstructured data from one server to multiple computers and offers cross-platform support to users.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

AWS Big Data

MARCH 7, 2024

You can take all your data from various silos, aggregate that data in your data lake, and perform analytics and machine learning (ML) directly on top of that data. You can also store other data in purpose-built data stores to analyze and get fast insights from both structured and unstructured data.

Data Lake 118

Data Lake Analytics Dashboards Metrics 118

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

bridgei2i

APRIL 23, 2020

How much will the bank’s bottom line be impacted depends on a host of unknowns. Analytics tools like OCR (Optical Character Recognition), (Computer Vision) CV, NLP (Natural Language Processing) and Synthetic Data Preparation can help banks digitize their document heavy/offline processes to improved efficiency. Learn MORE.

Risk 52

Risk Management Scorecard Forecasting 52

AWS Big Data

AUGUST 3, 2023

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need. Sundeep Kumar is a Sr.

Data Lake 81

Data Lake Visualization Dashboards Insurance 81

Domino Data Lab

JULY 2, 2019

The authors of AutoPandas observed that: The APIs for popular data science packages tend to have relatively steep learning curves. People look toward online resources such as StackOverflow to find out how to use APIs when the documentation doesn’t have an example that fits. Instead, program synthesis can address these issues.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

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

AUGUST 1, 2023

Define a game-changing LLM strategy At a recent Coffee with Digital Trailblazers I hosted, we discussed how generative AI and LLMs will impact every industry. 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

datapine

FEBRUARY 22, 2022

They can govern the implementation with a documented business case and be responsible for changes in scope. On the flip side, document everything that isn’t working. What data analysis questions are you unable to currently answer? The goal is to boost the ROI of your department – and any other – that are relying on this data.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Cloudera

OCTOBER 7, 2021

Also included, business and technical metadata, related to both data inputs / data outputs, that enable data discovery and achieving cross-organizational consensus on the definitions of data assets. Metadata Management: In legacy implementations, changes to Data Products (e.g.,

Metadata 123

Metadata Cost-Benefit Enterprise Interactive 123