IBM Big Data Hub

NOVEMBER 29, 2023

Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information. This helps to simplify data analysis and enable informed decision-making. Unstructured data interpretation: Unstructured data can often contain untapped insights.

Unstructured Data 91

Unstructured Data Data-driven ROI Machine Learning 91

Cloudera

MARCH 17, 2023

I took the free version of ChatGPT on a test drive (in March 2023) and asked some simple questions on data lakehouse and its components. Hopefully this blog will give ChatGPT an opportunity to learn and correct itself while counting towards my 2023 contribution to social good. I thought this was a fairly comprehensive list.

Unstructured Data 61

Unstructured Data Data Lake Data Warehouse Machine Learning 61

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

IBM Big Data Hub

DECEMBER 5, 2023

Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content. This unstructured data forms the backbone for creating models and the ongoing training of generative AI, so it can stay effective over time.

Unstructured Data 94

Unstructured Data Cost-Benefit Experimentation Machine Learning 94

Cloudera

AUGUST 4, 2021

Navistar relies on predictive maintenance, which leverages IoT and data analytics to predict and prevent breakdowns of commercial trucks and school buses. “We We use the Cloudera tool to employ machine learning for preventive maintenance,” says Terry Kline, Navistar SVP and CIO.

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

IBM Big Data Hub

OCTOBER 12, 2022

Every football season, millions of articles, blog posts, podcasts and videos are produced by the media, offering expert analysis on everything from player performance to injury reports. To identify and distill the insights locked inside this sea of “unstructured” data, ESPN collaborated with IBM to teach Watson the language of football.

Unstructured Data 85

Unstructured Data Consulting Statistics Data-driven 85

Smart Data Collective

MAY 1, 2022

Multiple emails, social media posts, blogs, articles, and other text forms are generated daily. This will eventually lead you to situations where you know that valuable data is inside these documents, but you cannot extract them. . Moreover, the data collected is not free from error or biases if humans handle it.

Cost-Benefit 118

Cost-Benefit Unstructured Data Machine Learning Marketing 118

IBM Big Data Hub

AUGUST 22, 2023

It uses real-world data (both real time and historical) combined with engineering, simulation or machine learning (ML) models to enhance operations and support human decision-making. appeared first on IBM Blog. A digital twin is the digital representation of a physical asset.

Unstructured Data 78

Unstructured Data Consulting Visualization IoT 78

CIO Business Intelligence

JUNE 6, 2023

In this new blog series, we explore artificial intelligence and automation in technology and the key role it plays in the Broadcom portfolio. An increased demand for high-performance computing for cloud data centers AI workloads require specialized processors that can handle complex algorithms and large amounts of data.

Manufacturing 98

Manufacturing Unstructured Data Optimization Software 98

Ontotext

OCTOBER 19, 2023

Healthcare data is well-known for its complexity and variability, including structured data from electronic health records (EHRs), unstructured data from clinical notes, and information from various devices and sources. Cleaning and integrating this data to create a unified and accurate patient profile is essential.

Unstructured Data 64

Unstructured Data Structured Data Publishing Machine Learning 64

Cloudera

FEBRUARY 8, 2021

In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. The vehicle-to-cloud solution driving advanced use cases.

Machine Learning 107

Machine Learning Manufacturing Unstructured Data Modeling 107

Cloudera

OCTOBER 28, 2020

The innovation, however, comes with their ability to analyze new, sometimes unstructured, data sources including clickstream data, location data, social media streams, news feeds, chatbots, and more. . However, the bank’s federated data marts gave each business only enough data to substantiate its own business.

Unstructured Data 70

Unstructured Data Data-driven Machine Learning Digital Transformation 70

Cloudera

DECEMBER 11, 2020

Insurance and finance are two industries that rely on measuring risk with historical data models. They have traditionally been slower-moving to adopt new structured and unstructured data inputs as regulatory considerations are always top of mind. The post Covid Data: An anomalous blip, or the new normal?

Insurance 93

Insurance Digital Transformation Unstructured Data Machine Learning 93

DataRobot Blog

NOVEMBER 1, 2022

I used the DataRobot AI Cloud platform to develop and deploy a machine learning project to make the predictions. The insights from unstructured data. DataRobot supports multimodal modeling, and I can use structured or unstructured data (i.e., Football Goal Predictions with DataRobot AI Cloud. text, images).

Unstructured Data 119

Unstructured Data Data Science Modeling Machine Learning 119

erwin

AUGUST 15, 2022

This blog is based upon a recent webcast that can be viewed here. For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. As with the part 1 and part 2 of this data modeling blog series, the cloud is not nirvana.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

CIO Business Intelligence

APRIL 25, 2022

Now generally available, the M&E data lakehouse comes with industry use-case specific features that the company calls accelerators, including real-time personalization, said Steve Sobel, the company’s global head of communications, in a blog post.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

Cloudera

JULY 29, 2021

Cloudera offers a comprehensive data platform enabling data sourced from the bedside and the edge, such as ICU and CCU, to be analyzed using advanced machine learning and AI. Public, private, hybrid or on-premise data management platform. Security and governance in a hybrid environment.

Unstructured Data 100

Unstructured Data Machine Learning Management Analytics 100

IBM Big Data Hub

APRIL 18, 2023

At this year’s National Association of Broadcasters (NAB) convention, the IBM sports and entertainment team accepted an Emmy® Award for its advancements in curating sports highlights through artificial intelligence (AI) and machine learning (ML). And that leads to innovations that can change an industry.”

Recreation/Entertainment 76

Recreation/Entertainment Broadcasting Unstructured Data Consulting 76

datapine

AUGUST 14, 2019

Geet our bite-sized free summary and start building your data skills! What Is A Data Science Tool? In the past, data scientists had to rely on powerful computers to manage large volumes of data. It offers many statistics and machine learning functionalities such as predictive models for future forecasting.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

IBM Big Data Hub

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions.

Cost-Benefit 87

Cost-Benefit Insurance Unstructured Data Machine Learning 87

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. Join us at re:Invent 2023 The post How IBM and AWS are partnering to deliver the promise of AI for business appeared first on IBM Blog.

Insurance 84

Insurance Data Warehouse Data-driven Unstructured Data 84

Cloudera

JANUARY 5, 2021

To enable these business capabilities requires an enterprise data platform to process streaming data at high volume and high scale, to manage and monitor diverse edge applications, and provide data scientists with tools to build, test, refine and deploy predictive machine learning models. .

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

BizAcuity

MARCH 29, 2019

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. Numbers are only good if the data quality is good. Data Lake is turning the tables in Healthcare.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

IBM Big Data Hub

JULY 12, 2023

Generative AI is changing the game Generative AI can be applied to an array of use cases, such as sorting and classifying written input, transforming domain-specific text into personalized summaries, identifying and extracting essential information from unstructured data, and generating code, marketing content and more.

Enterprise 56

Enterprise Unstructured Data Modeling Machine Learning 56

Ontotext

MAY 25, 2023

The event attracts individuals interested in graph technology, machine learning and natural language processes in numerous verticals, including publishing, government, financial services, manufacturing and retail. An entire conference track was dedicated to topics like graph embeddings, vector representations and matrix operations.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

Cloudera

SEPTEMBER 7, 2018

Moreover, this approach struggles to deal with the large volume and variety of data that must be analyzed and often correlated. Analyzing unstructured data sets such as text, audio and images are challenging, especially while determining illegal intent in communications. The blog is the joint property of Accenture and Cloudera.

Machine Learning 49

Machine Learning Risk Unstructured Data Cost-Benefit 49

bridgei2i

NOVEMBER 25, 2020

From underwriting processes that typically involved manual effort (in gathering data from documents), enterprises have now shifted to automation with a digital core that can make it easier to analyze several types of data formats—textual, visual, sensor-based and electronic. BRIDGEi2i’s insurance solutions. Author: Prabuddha Jagadeb.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 109

IT Data Architecture Unstructured Data Big Data 109

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

Sisense

JANUARY 22, 2021

A well-structured fintech algorithm could easily use machine learning (ML) to advise a human agent to approve or reject a business loan application. Actionable insights have a special connotation in the field of data analytics: An algorithm evaluates a vast data store and effectively advises a human agent on the best action to take.

Machine Learning 52

Machine Learning Unstructured Data Forecasting Advertising 52

Cloudera

DECEMBER 7, 2020

This blog is a first in a series that will examine the pillars and the successful customer case studies that have resulted. Leaders are moving to “segments of one,” defined as tracking and understanding individual behaviors across all touchpoints using the data to customize offers, products, or services to the individual customer.

Cost-Benefit 61

Cost-Benefit Interactive Unstructured Data Big Data 61

Cloudera

JUNE 22, 2023

It integrates data from databases, cloud or RESTful APIs, and real-time, streaming feeds, as well as unstructured data from document databases and other sources. And by handling both batch and streaming data, it supports traditional analytic workloads, essential for decision support, as well as real-time operational analytics.

Cost-Benefit 66

Cost-Benefit Digital Transformation Data Governance Unstructured Data 66

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 56

Data mining Machine Learning Deep Learning Marketing 56

Ontotext

DECEMBER 1, 2023

He outlined the challenges of working effectively with AI and machine learning, where knowledge graphs are a differentiator. In a live demo, Aurelije provided a sneak peek into how LLMs and machine learning were used to enhance their lead generation process.

Metadata 78

Metadata Sales Consulting Enterprise 78

Ontotext

MARCH 20, 2024

Machine learning (ML): Gain deeper insights from your data with advanced algorithms for data-driven decision-making. Natural Language Processing (NLP): Understand and interpret the meaning of text data to extract valuable insights.

Data-driven 52

Data-driven Strategy Sales Data Integration 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. The third challenge is how to combine data management with analytics. Ontotext Knowledge Graph Platform.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Smarten

JUNE 10, 2022

Cloud and Mobile Access to make business intelligence, data models and data sources accessible from anywhere. As you review the list of predictions above, note that traditional and modern BI tools and Augmented Analytics with Natural Language Processing (NLP) and machine learning seems destined to co-exist for the foreseeable future.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52