IBM Big Data Hub

SEPTEMBER 12, 2023

Reduced human error: Manual observation introduces a higher risk of human error. Observing and interpreting data manually can lead to inconsistencies and oversight, potentially causing critical issues to be overlooked. This information is vital for capacity planning and performance optimization.

Data-driven 73

Data-driven Cost-Benefit Predictive Analytics Machine Learning 73

Ontotext

AUGUST 17, 2023

These failures are at least partly due to the absence of graph technologies, at the center of those transformations, allowing companies to “connect the dots” across their data to drive optimal outcomes. If context and relationships between things are important, then graph technologies should be at the center of the solution.

Digital Transformation 52

Digital Transformation IT Cost-Benefit Consulting 52

Ontotext

MAY 5, 2023

Case Study In their talk: How Knowledge Graphs and Graph Databases Take Your Data Further, presented at Ontotext’s Knowledge Graph Forum 2022, Ragini Okhandiar and Krishna Potluri from JPMorgan Chase & Co. As you can see in the screenshot below, such an advanced search can match the optimal investment target.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

BI-Survey

FEBRUARY 17, 2020

With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

Alation

SEPTEMBER 9, 2021

These decisions aren’t done in a silo; for senior leadership to make educated decisions to adopt innovation and move the business forward, they need access to the right data. Enabling data access is just the first step. This data also needs to meet quality standards to be trusted. Mission Lane Enables Collaboration.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

Grooper

AUGUST 19, 2019

Traditional data sources like end of month statements and quarterly reports are no longer enough. Access to enterprise-wide information fuels analytics solutions and enable a new approach for decision making. Master data management. Data governance. Scoring – i.e. profitability or risk. Data pipelines.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Andrew White

JANUARY 11, 2021

What is your vision for D&A for small and medium enterprises? We have specific research for midsize and small enterprises. See 3 Questions That Midsize Enterprises Should Ask About Data and Analytics and have an inquiry with Alan Duncan. Which industry, sector moves fast and successful with data-driven?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Cloudera

SEPTEMBER 12, 2018

Toshiba Memory’s ability to apply machine learning on petabytes of sensor and apparatus data enabled detection of small defects and inspection of all products instead of a sampling inspection. Enterprise Machine Learning: . John Myers , Managing Research Director, Enterprise Management Associates. Technical Impact.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Smart Data Collective

AUGUST 14, 2022

Enterprises can store Intellectual Property data in unstructured or structured forms. Both options rely on strict security policies to deny unauthorized data access, including data encryption, regular data backups, and real-time cybersecurity protection. Let’s go through them together.

Risk 124

Risk Cost-Benefit Software Reporting 124

IBM Big Data Hub

APRIL 4, 2024

And while enterprise resource planning (ERP) integrates and manages all aspects of a business, BPM focuses on its individual functions—optimizing the organization’s existing, repeatable processes end-to-end. BPM also provides the foundation for making refinements and enhancements that lead to continuous improvement.

Management 62

Management Cost-Benefit Metrics Consulting 62

IBM Big Data Hub

JUNE 14, 2023

artificial intelligence (AI) applications, the Internet of Things (IoT), robotics and augmented reality, among others) to optimize enterprise resource planning (ERP), making companies more agile and adaptable. Ensure that sensitive data remains within their own network, improving security and compliance.

Manufacturing 80

Manufacturing Technology Internet of Things Cost-Benefit 80

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 64

OLAP Slice and Dice Cost-Benefit Data Warehouse 64

IBM Big Data Hub

AUGUST 11, 2023

If you are experiencing inefficiencies, bottlenecks, quality control challenges or compliance issues in your production processes, an MES can provide real-time data and performance analysis across production lines to identify and address these issues promptly.

Software 76

Software Manufacturing Cost-Benefit ROI 76

IBM Big Data Hub

MAY 9, 2023

Today we have one of the most comprehensive portfolios of enterprise AI solutions available. It makes our supply chains stronger, defends critical enterprise data against cyber attackers, and helps deliver seamless experiences to millions of customers ever day across multiple industries. Watsonx.ai

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

IBM Big Data Hub

DECEMBER 20, 2023

AWS, Google Cloud Services, IBM Cloud, Microsoft Azure) makes computing resources—like ready-to-use software applications, virtual machines (VMs) , enterprise-grade infrastructures and development platforms—available to users over the public internet.

Strategy 106

Strategy Cost-Benefit Digital Transformation Optimization 106

IBM Big Data Hub

JANUARY 9, 2024

This global perspective enabled us to observe how diverse industries both influence and are influenced by the evolving technology landscape. Customization of enterprise AI Enterprise AI customization is on the rise, with businesses embracing tailored generative AI applications. Here’s a glimpse into what the future holds.

Data-driven 112

Data-driven Risk Modeling Marketing 112

CIO Business Intelligence

MARCH 6, 2023

The company, which customizes, sells, and licenses more than one billion images, videos, and music clips from its mammoth catalog stored on AWS and Snowflake to media and marketing companies or any customer requiring digital content, currently stores more than 60 petabytes of objects, assets, and descriptors across its distributed data store.

Data Lake 73

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 73

Alation

NOVEMBER 11, 2021

This framework maintains compliance and democratizes data. It enables collaboration, even as your data landscape grows larger and more complex. Active data governance improves efficiency, minimizes security risks, and improves the quality and usability of data. Data Sovereignty and Cross?Border

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

Alation

JUNE 1, 2023

They also recognized that to become 100% data- driven, first they had to become 100% metadata- driven. Their solution was a metadata strategy that plays offense and defense to build an enterprise data catalog using Alation. However, managing risk and accommodating growth can be challenging.

Metadata 52

Metadata Data Governance Data-driven Recreation/Entertainment 52

Jet Global

NOVEMBER 7, 2023

Efforts to decrease costs involve streamlining operations, negotiating favorable supply chain terms, exercising stringent cost control, optimizing employee productivity, and implementing energy-efficient practices. Finance leaders are excited about the productivity gains GenAI can provide but also wary of potential security risks.

Finance 52

Finance Uncertainty Reporting Marketing 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

APRIL 3, 2024

Automation of tasks like data collection, reconciliation, and reporting saves substantial time and resources. Real-time access to financial data grants deep insights, facilitating informed decision-making and risk identification. Cloud-based solutions can automate tasks such as data collection, reconciliation, and reporting.

Reporting 52

Reporting Cost-Benefit Software Forecasting 52

Jet Global

SEPTEMBER 26, 2023

He specializes in process reengineering and risk reduction. I’ve seen, in terms of risk appetite within our business, maybe more focus and a renewed focus on realizing internal efficiencies to achieve profit growth. I think we’ve got some ways to go.

Marketing 52

Marketing Finance Reporting Operational Reporting 52