IBM Big Data Hub

MARCH 21, 2024

Cloud platforms and container orchestration technologies provide scalable, elastic resources that dynamically allocate compute, storage and networking resources based on workload requirements. Accelerated data processing Efficient data processing pipelines are critical for AI workflows, especially those involving large datasets.

Optimization 66

Optimization Software Data-driven Consulting 66

Ontotext

AUGUST 4, 2023

Generating actionable insights across growing data volumes and disconnected data silos is becoming increasingly challenging for organizations. Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

DataKitchen

JANUARY 5, 2021

Remote working has revealed the inconsistency and fragility of workflow processes in many data organizations. The data teams share a common objective; to create analytics for the (internal or external) customer. Data Science Workflow – Kubeflow, Python, R. Data Engineering Workflow – Airflow, ETL.

Testing 147

Testing Data Governance Metadata Visualization 147

CIO Business Intelligence

JUNE 1, 2022

The company is applying winning insights from rapid, data-driven, evolutionary models versus relying on engine speed and aerodynamics alone to win races. Like professional basketball, industrial-scale farming, national politics, and global merchandising, auto racing has become a data science. Using Data to Generate Simulations.

Manufacturing 108

Manufacturing Digital Transformation Predictive Analytics Strategy 108

DataKitchen

SEPTEMBER 20, 2021

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. DataOps can and should be implemented in small steps that complement and build upon existing workflows and data pipelines. Figure 1: The four phases of Lean DataOps.

Testing 246

Testing Metrics Measurement Dashboards 246

CIO Business Intelligence

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

Data Strategy 113

Data Strategy Strategy Machine Learning Data-driven 113

CIO Business Intelligence

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). Cold: On-prem infrastructure As they did in 2022, many IT leaders are reducing investments in data centers and on-prem technologies. “We

IT 145

IT Insurance Machine Learning Marketing 145

IBM Big Data Hub

MARCH 8, 2024

Generative AI opens up greater opportunities for value-creating personalization, dynamic pricing, user-friendly chatbots , voice assistants, virtual assistants, and improved customer search. Virtual try on experiences Virtual try on experiences, when designed properly, have the potential to transform the fashion and beauty industries.

Consulting 85

Consulting Marketing Sales Data Processing 85

IBM Big Data Hub

JULY 11, 2022

Take a second to think about all the ways data has changed in the last 20 years. The transformation in our phones is analogous to the evolution of the modern data architecture for enterprises. The transformation in our phones is analogous to the evolution of the modern data architecture for enterprises. Data virtualization.

Data Architecture 57

Data Architecture Enterprise Optimization Technology 57

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

FineReport

APRIL 3, 2024

In today’s data-driven landscape, businesses are leaning more on BI tools , particularly BI dashboard solutions, to enhance decision-making through data visualization. These BI Dashboard tools blend advanced analytics with user-friendly interfaces, revealing invaluable insights.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

Rocket-Powered Data Science

JULY 6, 2021

In at least one way, it was not different, and that was in the continued development of innovations that are inspired by data. This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade. 2) MLOps became the expected norm in machine learning and data science projects.

Machine Learning 279

Machine Learning Data-driven IoT Deep Learning 279

CIO Business Intelligence

APRIL 25, 2022

A collaborative network is one in which all parties — a company, its suppliers, shippers, and distributors — have visibility into the supply chain through real-time data. Companies have insight into first-, second-, and third-tier suppliers, and all parties can respond to the data and act together.

Risk 52

Risk Forecasting Machine Learning Management 52

CIO Business Intelligence

FEBRUARY 27, 2023

To understand how organizations may be approaching their cloud strategies and tech investments in 2023, members of VMware’s Tanzu Vanguard community shared their insights on what trends will take shape. Similarly, Thomas Rudrof, cloud platform engineer at DATEV eG , agrees that we won’t necessarily see the end of VM-based workloads.

Cost-Benefit 137

Cost-Benefit Digital Transformation Strategy Software 137

FineReport

APRIL 9, 2024

Understanding Healthcare BI Tools The Role of Healthcare BI Tools Healthcare BI tools are instrumental in revolutionizing decision-making processes and patient care through the utilization of advanced data analysis and technology.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . Company data exists in the data lake.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

IBM Big Data Hub

FEBRUARY 22, 2024

While AI can undoubtedly offer a competitive edge to organizations that effectively leverage its capabilities, we have seen unique concerns from industry to industry and region to region that must be considered—particularly around data.

Enterprise 78

Enterprise Risk Data Processing Business Driver 78

Sisense

SEPTEMBER 8, 2021

The steady growth of medical data is outpacing many health providers’ ability to make use of it. Data mining and analytics tools previously used for commercial data are being applied to medical data in various forms. Embedded patient analytics analyze medical data from many sources in one place.

Analytics 52

Analytics Data mining Data Integration Risk 52

AWS Big Data

MARCH 3, 2023

The next phase of Tricentis’ journey is to unlock insights across all testing tools. Teams may struggle to have a unified view of software quality due to siloed testing across many disparate tools. For users that require a unified view of software quality, this is unacceptable. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

Smart Data Collective

APRIL 7, 2022

Few people anticipated that big data would have such a profound impact on the e-commerce sector. Companies in the distribution industry are particularly dependent on data, due to the complicated logistics issues they encounter. There are many reasons that data analytics and data mining are vital aspects of modern e-commerce strategies.

B2B 108

B2B Sales Big Data Cost-Benefit 108

Cloudera

SEPTEMBER 15, 2022

Cloudera Contributor: Mark Ramsey, PhD ~ Globally Recognized Chief Data Officer. July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. Luke: What is a modern data platform?

Data Lake 78

Data Lake Data Architecture Data-driven Data Warehouse 78

AWS Big Data

OCTOBER 18, 2023

Apache Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale. Spark SQL is an Apache Spark module for structured data processing. HiveQL is a SQL-like language that produces data queries containing business logic, which can be converted to Spark jobs. Starting from version 1.2.0,

Big Data 77

Big Data Data Processing Interactive Testing 77

Sisense

FEBRUARY 1, 2021

Although many publications compare product data management and product life cycle management — commonly framing the debate as “PDM versus PLM” — that can create confusion. The functionality referred to as a product data management framework is more accurately a subset of a product life cycle management framework.

Management 52

Management Analytics Manufacturing Cost-Benefit 52

Jet Global

JANUARY 12, 2021

They know that they have a lot of data, but the process of extracting, organizing, and analyzing that information always seems much harder than it should be. Think about the various software platforms your organization uses. Every organization is different, so there is no “one-size-fits-all” approach. As You Migrate to Cloud ERP….

Strategy 69

Strategy IT Cost-Benefit Finance 69

IBM Big Data Hub

APRIL 15, 2024

Data integration stands as a critical first step in constructing any artificial intelligence (AI) application. While various methods exist for starting this process, organizations accelerate the application development and deployment process through data virtualization. Why choose data virtualization?

Analytics 69

Analytics Optimization Data-driven Metrics 69

Sisense

AUGUST 14, 2020

In the case of a stock trading AI, for example, product managers are now aware that the data required for the AI algorithm must include human emotion training data for sentiment analysis. It follows then that data scientists are suddenly integral to building embedded AI components.

Machine Learning 98

Machine Learning Visualization Predictive Analytics Testing 98

Jen Stirrup

MAY 5, 2020

Recently, I gave a Make Your Data Work Monday webinar on the complexities of the data sources for data science in Azure, and I thought it important enough to turn into an actual post. How can you differentiate the different opportunities to store your data in Azure? Organizations need to recast storing their data.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

DataKitchen

MAY 10, 2021

Data errors impact decision-making. Data errors infringe on work-life balance. Data errors also affect careers. If you have been in the data profession for any length of time, you probably know what it means to face a mob of stakeholders who are angry about inaccurate or late analytics.

Testing 214

Testing Manufacturing Data Quality Statistics 214

CIO Business Intelligence

AUGUST 15, 2023

August 2023 Salesforce sets out to train generative AI models with Einstein Studio With Einstein Studio , Salesforce offers to help enterprises train and run generative AI models on their customer data stored in its Data Cloud. It can connect the data to a variety of LLMs, open source, or proprietary, the company said.

Software 98

Software Enterprise Sales Visualization 98

IBM Big Data Hub

FEBRUARY 19, 2024

Data monetization empowers organizations to use their data assets and artificial intelligence (AI) capabilities to create tangible economic value. This value exchange system uses data products to enhance business performance, gain a competitive advantage, and address industry challenges in response to market demand.

Cost-Benefit 68

Cost-Benefit Data-driven Optimization Marketing 68

CIO Business Intelligence

OCTOBER 3, 2023

That, Purday says, is what led ConocoPhillips’ Norway unit to start investigating digital twins, which are virtual representations of physical assets. Digital twins are a foundational layer, and provide a platform to accelerate digitalization.” They help solve basic questions like, “Where is this piece of equipment?”

Digital Transformation 114

Digital Transformation Cost-Benefit Data Processing Optimization 114

IBM Big Data Hub

DECEMBER 1, 2023

To keep pace with the dynamic environment of digitally-driven business, organizations continue to embrace hybrid cloud, which combines and unifies public cloud, private cloud and on-premises infrastructure, while providing orchestration, management and application portability across all three. Google Workforce and Salesforce).

Cost-Benefit 86

Cost-Benefit Data Processing Digital Transformation Testing 86

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 307

Testing Machine Learning Consulting Data Quality 307

CIO Business Intelligence

FEBRUARY 26, 2024

The technology and HR leaders at each of these organizations shared their insights into building successful global teams that can sustainably drive innovation at scale. You’ve got to be good with the data, but you better have the emotional intelligence to match it, ” says Richa Gupta, CHRO at G-P.

Cost-Benefit 93

Cost-Benefit Measurement Modeling Strategy 93

IBM Big Data Hub

MARCH 28, 2024

As cloud computing continues to transform the enterprise workplace, private cloud infrastructure is evolving in lockstep, helping organizations in industries like healthcare, government and finance customize control over their data to meet compliance, privacy, security and other business needs. billion by 2033, up from USD 92.64

Enterprise 105

Enterprise Cost-Benefit Data Processing Software 105

IBM Big Data Hub

NOVEMBER 2, 2023

When it comes to modern IT infrastructure, the role of Kubernetes —the open-source container orchestration platform that automates the deployment, management and scaling of containerized software applications (apps) and services—can’t be underestimated. Virtualization relies on software known as a hypervisor.

Software 107

Software Management Enterprise Technology 107