IBM Big Data Hub

OCTOBER 30, 2023

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. Businesses globally recognize the power of generative AI and are eager to harness data and AI for unmatched growth, sustainable operations, streamlining and pioneering innovation.

Insurance 81

Insurance Data Warehouse Data-driven Unstructured Data 81

Cloudera

OCTOBER 28, 2020

By using data to listen to their customers better. The most innovative companies use data and analytics to offer appropriate products and services. To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data.

Unstructured Data 69

Unstructured Data Data-driven Machine Learning Digital Transformation 69

datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

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. Generative AI can produce high-quality text, images and other content based on the data used for training.

Cost-Benefit 85

Cost-Benefit Insurance Unstructured Data Machine Learning 85

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

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. The power of the data lake lies in the fact that it often is a cost-effective way to store data.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

Cloudera

JUNE 7, 2022

We live in a hybrid data world. 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 107

IT Data Architecture Unstructured Data Big Data 107

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 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

Cloudera

JUNE 22, 2023

These dis-integrated resources are “data platforms” in name only: in addition to their high maintenance costs, their lack of interoperability with other critical systems makes it difficult to respond to business change. The top-line benefits of a hybrid data platform include: Cost efficiency. Simplified compliance. Flexibility.

Cost-Benefit 65

Cost-Benefit Digital Transformation Data Governance Unstructured Data 65

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. A well-structured fintech algorithm could easily use machine learning (ML) to advise a human agent to approve or reject a business loan application.

Machine Learning 52

Machine Learning Unstructured Data Forecasting Advertising 52

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. Almost every modern organization is now a data-generating machine.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Cloudera

DECEMBER 7, 2020

As the pandemic’s stress test of e-commerce, in-store insights, supply chain visibility, and fulfillment capabilities have revealed shortcomings, and long-lasting consumer experiences— it has also allowed many companies to pivot to very successful strategies built on enterprise data and the digitization efforts that accompany it.

Cost-Benefit 61

Cost-Benefit Interactive Unstructured Data Big Data 61

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

Cloudera

AUGUST 30, 2018

Consider the following practices that, until recently, were relegated to the R&D department: Data-driven decision making – the collection and analysis of data to guide decisions that improve success. Complicating matters is the increasing focus on data protection and the far-reaching implications of IoT (e.g.

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

Sisense

MARCH 26, 2021

Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. 39% of companies want to identify new revenue and business opportunities with data analytics.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

bridgei2i

MARCH 9, 2021

How a Partnership with an AI Data Company Can Transform Your Business’s Technological Capacities. A partnership with an advanced AI data company comes with various advantages. The experts working in the Artificial Intelligence field aren’t just experts of advanced programming – they’re also masters of data science.

Technology 52

Technology Unstructured Data Insurance Sales 52

bridgei2i

OCTOBER 7, 2020

To catch up, underwriting which typically involved manual involvement in garnering data from documents has to change radically. To get a perspective on evolving trends in insurance in the post-COVID world, read BRIDGEi2i’s blog here. Importance of capturing market data for optimized pricing models. click here.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. Big data challenges and solutions.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Sisense

MAY 28, 2020

In the Clouds is where we explore the ways cloud-native architecture, cloud data storage, and cloud analytics are changing key industries and business practices, with anecdotes from experts, how-to’s, and more to help your company excel in the cloud era. The world of data is constantly changing and speeding up every day.

Internet of Things 83

Internet of Things Metadata Data-driven Unstructured Data 83

Cloudera

OCTOBER 5, 2023

Your company collects data from different sources and then you analyze the data to help make the right decisions. Or you are only currently using data for a few use cases and struggle to implement organization wide. Or you are only currently using data for a few use cases and struggle to implement organization wide.

Data-driven 79

Data-driven Enterprise Data Governance Unstructured Data 79

Jedox

FEBRUARY 13, 2019

As organizations strive to implement an analytics culture for data-driven decision making, AI can be an important component in that process. AI can enable the FP&A function to flourish and thrive by supporting the development and improvement in our people, data, processes, technology and performance indicators.

IT 54

IT Finance Cost-Benefit Unstructured Data 54

Ontotext

NOVEMBER 22, 2020

Data and content are organized in a way that facilitates discoverability, insights and decision making rather than be bound by limitations of data formats and legacy systems. GraphQL has a number of advantages for developers, especially for data-centric applications. Developer-Friendly Semantic Technology.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. And how this transformation will impact businesses in the short and long run is the main discussion in this blog. Cloud washing is storing data on the cloud for use over the internet. History and innovations in recent times.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Testing and Data Observability. Reflow — A system for incremental data processing in the cloud.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Domino Data Lab

AUGUST 9, 2021

For a model-driven enterprise, having access to the appropriate tools can mean the difference between operating at a loss with a string of late projects lingering ahead of you or exceeding productivity and profitability forecasts. In general terms, a model is a series of algorithms that can solve problems when given appropriate data.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

Ontotext

FEBRUARY 26, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

IBM Big Data Hub

AUGUST 17, 2023

Year after year, IBM Consulting works with the United States Tennis Association (USTA) to transform massive amounts of data into meaningful insight for tennis fans. This year, the USTA is using watsonx , IBM’s new AI and data platform for business. million data points are captured, drawn from every shot of every match.

Unstructured Data 93

Unstructured Data Statistics Consulting Enterprise 93

Sisense

MAY 26, 2020

In Talking Data , we delve into the rapidly evolving worlds of Natural Language Processing and Generation. Text data is proliferating at a staggering rate, and only advanced coding languages like Python and R will be able to pull insights out of these datasets at scale. Today, text data is everywhere. Semantic meaning of words.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

bridgei2i

AUGUST 2, 2020

Every step of this journey can be now reimagined, with what we call Artificial Intelligence (AI) driven Automation. In simple terms, it means automation and simplification of processes, by learning from data of different types and formats and then removing the manual and prone-to-error parts from the process.

Digital Transformation 95

Digital Transformation Insurance Unstructured Data Cost-Benefit 95

Sisense

AUGUST 21, 2020

AI and machine learning are the future of every industry, especially data and analytics. Reading through the Gartner Top 10 Trends in Data and Analytics for 2020 , I was struck by how different terms mean different things to different audiences under different contexts. Trend 1: Smarter, faster, more responsible AI.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

Domino Data Lab

AUGUST 10, 2021

Models are the central output of data science, and they have tremendous power to transform companies, industries, and society. At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code. Why Is Modeling Important?

Modeling 64

Modeling IT Risk Management Deep Learning 64

Sisense

JUNE 30, 2020

Everyone wants to get more out of their data, but how exactly to do that can leave you scratching your head. In a world increasingly dominated by data, users of all kinds are gathering, managing, visualizing, and analyzing data in a wide variety of ways. Data visualization: painting a picture of your data.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Cloudera

JULY 29, 2022

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). However, not all these organizations will be successful in using data to drive business value and increase profits. Is yours among the organizations hoping to cash in big with a big data solution?

Data Architecture 84

Data Architecture Data Strategy Risk Management Strategy 84

IBM Big Data Hub

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics.

Data Warehouse 76

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 76

Cloudera

NOVEMBER 18, 2021

With so many impactful and innovative projects being carried out by our customers using the Cloudera platform, selecting the winners of our annual Data Impact Awards (DIA) is never an easy task. So, without further ado, it is with great delight that we officially publish the 2021 Data Impact Award winners! Data Lifecycle Connection.

Data Lake 74

Data Lake Cost-Benefit Digital Transformation Risk 74

Cloudera

NOVEMBER 25, 2020

The challenges Matthew and his team are facing are mainly about access to a multitude of data sets, of various types and sources, with ease and ad-hoc, and their ability to deliver data-driven and confident outcomes. . Most of their research data is unstructured and has a lot of variety. Challenges Ahead.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57