Precisely

JANUARY 23, 2024

The report concluded that there are reliable, data-driven reasons why companies should invest in building or maturing their data governance programs. The topmost value-generating benefit, according to respondents with mature programs, is the ability of such initiatives to strengthen overall data quality.

Data Governance 69

Data Governance Data Quality Analytics Analytics 69

Precisely

JUNE 2, 2023

As companies strive to leverage AI/ML, location intelligence, and cloud analytics into their portfolio of tools, siloed mainframe data often stands in the way of forward momentum. Insufficient skills, limited budgets, and poor data quality also present significant challenges.

Data Silos 52

Data Silos ETL Data Quality Data Pipeline 52

Precisely

OCTOBER 12, 2023

When we look by the numbers at the trends influencing data strategies, the survey says that organizations are … increasing flexibility, efficiency, and productivity while lowering costs through cloud adoption (57%) and digital transformation (43%) focusing on technologies that will help them manage resource shortages. Intelligence.

Data Quality 64

Data Quality Data Governance ML ML 64

IBM Journey to AI blog

SEPTEMBER 5, 2024

Access to high-quality data can help organizations start successful products, defend against digital attacks, understand failures and pivot toward success. Emerging technologies and trends, such as machine learning (ML), artificial intelligence (AI), automation and generative AI (gen AI), all rely on good data quality.

Data Governance 75

Data Governance Data Quality DataOps Artificial Intelligence 75

IBM Journey to AI blog

JULY 3, 2024

Open is creating a foundation for storing, managing, integrating and accessing data built on open and interoperable capabilities that span hybrid cloud deployments, data storage, data formats, query engines, governance and metadata. Effective data quality management is crucial to mitigating these risks.

Data Quality 45

Data Quality AI AI Database 45

Precisely

MAY 16, 2024

You need to break down data silos and integrate critical data from all relevant sources into Amazon Web Services (AWS). Fuel your AI applications with trusted data to power reliable results. Add context to your data for more relevant and nuanced responses. You’re not alone.

AI 69

AI AI AWS Data Quality 69

Alation

MARCH 21, 2023

While this industry has used data and analytics for a long time, many large travel organizations still struggle with data silos , which prevent them from gaining the most value from their data. What is big data in the travel and tourism industry?

Analytics 52

Analytics Analytics Data Silos Big Data 52

IBM Journey to AI blog

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

AWS 93

AWS Database ETL AI 93

Precisely

FEBRUARY 12, 2024

Here are some of the key trends and challenges facing telecommunications companies today: The growth of AI and machine learning: Telecom companies use artificial intelligence and machine learning (AI/ML) for predictive analytics and network troubleshooting.

Data Governance 64

Data Governance Analytics Analytics Machine Learning 64

IBM Journey to AI blog

MAY 15, 2024

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. This situation will exacerbate data silos, increase costs and complicate the governance of AI and data workloads.

Data Pipeline 85

Data Pipeline ETL SQL Database 85

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JULY 18, 2024

Key Takeaways Data Fabric is a modern data architecture that facilitates seamless data access, sharing, and management across an organization. Data management recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata.

Data Lakes 52

Data Lakes Data Warehouse Data Governance Machine Learning 52

Alation

JANUARY 27, 2022

Data now comes from so many sources that integrating, cleaning, and transforming it across systems is difficult. Data quality problems cause low productivity, inefficiency, high costs, and errors in decision-making. Many organizations are turning to active data governance to minimize the burden of governance tasks.

Data Governance 52

Data Governance Analytics Analytics Data Quality 52

Alation

APRIL 19, 2022

Data modernization allows you to grant access appropriately for data democratization , where people enjoy a self-service analytics environment that allows them to collaborate, innovate, and share knowledge. Consolidating all data across your organization builds trust in the data. Use of Reliable Databases.

Data Governance 52

Data Governance Cloud Data Database Data Silos 52

phData

DECEMBER 4, 2024

Implementing Generative AI can be difficult as there are some hurdles to overcome for any business to get up and running: Data Quality You get the same quality output as the data you use for any AI system, so having accurate and unbiased data is of the utmost importance.

Data Warehouse 52

Data Warehouse AI AI Data Quality 52

Pickl AI

JULY 16, 2024

It utilizes Machine Learning (ML) and other AI techniques to streamline IT processes, improve efficiency, and free up valuable time for IT professionals. Understanding AIOps Think of AIOps as a multi-layered application of Big Data Analytics , AI, and ML specifically tailored for IT operations.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Heartbeat

DECEMBER 7, 2023

What is Data Mesh? Data Mesh is a new data set that enables units or cross-functional teams to decentralize and manage their data domains while collaborating to maintain data quality and consistency across the organization — architecture and governance approach. We can call fabric texture or actual fabric.

Data Governance 52

Data Governance Deep Learning Deep Learning Artificial Intelligence 52

AWS Machine Learning Blog

MARCH 15, 2024

Medical data restrictions You can use machine learning (ML) to assist doctors and researchers in diagnosis tasks, thereby speeding up the process. However, the datasets needed to build the ML models and give reliable results are sitting in silos across different healthcare systems and organizations.

AWS 129

AWS ML ML Data Silos 129

Precisely

SEPTEMBER 26, 2024

Key Takeaways: Trusted AI requires data integrity. For AI-ready data, focus on comprehensive data integration, data quality and governance, and data enrichment. Building data literacy across your organization empowers teams to make better use of AI tools. The impact? The stakes are very high.

AI 75

AI AI Data Governance Data Quality 75

phData

SEPTEMBER 27, 2024

Data Quality Management : Persistent staging provides a clear demarcation between raw and processed customer data. This makes it easier to implement and manage data quality processes, ensuring your marketing efforts are based on clean, reliable data. Nope, we’re now thinking in streams, baby!

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52