ODSC - Open Data Science

JANUARY 17, 2024

Proper data governance is crucial for long-term success. Common Smart City Data Governance Challenges Smart city data governance is the practice of managing the information generated by smart infrastructure. Insufficient Resources The first data governance challenge cities face is insufficient resources.

Data Governance 52

Data Governance Data Silos Data Science Internet of Things 52

ODSC - Open Data Science

APRIL 28, 2023

Be sure to check out her talk, “ Power trusted AI/ML Outcomes with Data Integrity ,” there! Due to the tsunami of data available to organizations today, artificial intelligence (AI) and machine learning (ML) are increasingly important to businesses seeking competitive advantage through digital transformation.

ML 98

ML ML Data Silos Data Quality 98

IBM Data Science in Practice

APRIL 26, 2024

Photo by Tim van der Kuip on Unsplash In the era of digital transformation, enterprises are increasingly relying on the power of artificial intelligence (AI) to unlock valuable insights from their vast repositories of data. Within this landscape, Cloud Pak for Data (CP4D) emerges as a pivotal platform.

SQL 130

SQL Data Quality Data Governance Data Scientist 130

IBM Journey to AI blog

JUNE 15, 2023

There’s no debate that the volume and variety of data is exploding and that the associated costs are rising rapidly. The proliferation of data silos also inhibits the unification and enrichment of data which is essential to unlocking the new insights. This provides further opportunities for cost optimization.

Data Warehouse 110

Data Warehouse Data Lakes Cloud Data Analytics 110

Alation

FEBRUARY 1, 2022

A new research report by Ventana Research, Embracing Modern Data Governance , shows that modern data governance programs can drive a significantly higher ROI in a much shorter time span. Historically, data governance has been a manual and restrictive process, making it almost impossible for these programs to succeed.

Data Lakes 52

Data Lakes Data Governance ML ML 52

IBM Journey to AI blog

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.

Analytics 81

Analytics Analytics Data Silos AI 81

IBM Journey to AI blog

JANUARY 17, 2023

IBM Cloud Pak for Data Express solutions provide new clients with affordable and high impact capabilities to expeditiously explore and validate the path to become a data-driven enterprise. IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture.

Data Governance 58

Data Governance Data Science Data Silos AI 58

Alation

MAY 2, 2023

The hospitality industry generates vast amounts of data from various sources, including customer bookings, transactions, loyalty programs, social media, and guest feedback. For example, hotels can use data analytics to identify booking patterns and optimize room rates, inventory, and staffing levels.

Analytics 52

Analytics Analytics Data Silos Data Governance 52

Precisely

FEBRUARY 9, 2024

In 2023, organizations dealt with more data than ever and witnessed a surge in demand for artificial intelligence use cases – particularly driven by generative AI. They relied on their data as a critical factor to guide their businesses to agility and success.

Data Quality 69

Data Quality DataOps Data Silos Artificial Intelligence 69

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog? Your metadata management framework provides the underlying structure that makes your data accessible and manageable.

Data Governance 52

Data Governance Data Analyst Machine Learning Machine Learning 52

phData

APRIL 18, 2023

This is due to a fragmented ecosystem of data silos, a lack of real-time fraud detection capabilities, and manual or delayed customer analytics, which results in many false positives. Snowflake Marketplace offers data from leading industry providers such as Axiom, S&P Global, and FactSet.

Data Silos 52

Data Silos ETL Clustering Analytics 52

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? What are common data challenges for the travel industry?

Analytics 52

Analytics Analytics Data Silos Big Data 52

Precisely

JUNE 26, 2023

They shore up privacy and security, embrace distributed workforce management, and innovate around artificial intelligence and machine learning-based automation. The key to success within all of these initiatives is high-integrity data. Do the takeaways we’ve covered resonate with your own data integrity needs and challenges?

Data Quality 52

Data Quality Data Silos Analytics Analytics 52

phData

FEBRUARY 14, 2023

Insurance companies often face challenges with data silos and inconsistencies among their legacy systems. To address these issues, they need a centralized and integrated data platform that serves as a single source of truth, preferably with strong data governance capabilities.

Data Governance 52

Data Governance Data Silos Predictive Analytics Data Wrangling 52

IBM Journey to AI blog

OCTOBER 30, 2023

Modernizing data warehouse with IBM watsonx.data Modernizing a data warehouse with IBM watsonx.data on AWS offers businesses a transformative approach to managing data across various sources and formats. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability.

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AWS AI AI Data Warehouse 95

Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Exploring technologies like Data visualization tools and predictive modeling becomes our compass in this intricate landscape.

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Alation

MAY 2, 2023

The hospitality industry generates vast amounts of data from various sources, including customer bookings, transactions, loyalty programs, social media, and guest feedback. For example, hotels can use data analytics to identify booking patterns and optimize room rates, inventory, and staffing levels.

Analytics 40

Analytics Analytics Data Silos Data Governance 40

IBM Journey to AI blog

MAY 9, 2023

Supporting the data management life cycle According to IDC’s Global StorageSphere, enterprise data stored in data centers will grow at a compound annual growth rate of 30% between 2021-2026. [2] ” Notably, watsonx.data runs both on-premises and across multicloud environments.

Data Warehouse 92

Data Warehouse AWS AI AI 92

AWS Machine Learning Blog

JANUARY 13, 2023

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

AWS 106

AWS Analytics Analytics Machine Learning 106

Heartbeat

DECEMBER 7, 2023

What are the new data governance trends, “Data Fabric” and “Data Mesh”? I decided to write a series of blogs on current topics: the elements of data governance that I have been thinking about, reading, and following for a while. Advantages: Consistency ensures trust in data governance.

Data Governance 52

Data Governance Deep Learning Deep Learning Artificial Intelligence 52

Pickl AI

DECEMBER 11, 2024

Efficiency emphasises streamlined processes to reduce redundancies and waste, maximising value from every data point. Common Challenges with Traditional Data Management Traditional data management systems often grapple with data silos, which isolate critical information across departments, hindering collaboration and transparency.

Data Silos 52

Data Silos Data Pipeline Artificial Intelligence Artificial Intelligence 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

IBM Journey to AI blog

JULY 3, 2024

Multiple data applications and formats make it harder for organizations to access, govern, manage and use all their data for AI effectively. Scaling data and AI with technology, people and processes Enabling data as a differentiator for AI requires a balance of technology, people and processes.

AI 45

AI AI Data Quality Database 45

Pickl AI

DECEMBER 10, 2024

Unified Data Fabric Unified data fabric solutions enable seamless access to data across diverse environments, including multi-cloud and on-premise systems. These solutions break down data silos, making it easier to integrate and analyse data from various sources in real-time.

Analytics 52

Analytics Analytics Augmented Analytics Machine Learning 52

Dataversity

APRIL 25, 2022

Data collection, while crucial to the overall functionality and health of a business, does not automatically lead to success. If data processes are not at peak performance and efficiency, businesses are just collecting massive stores of data for no reason. Effective use […].

Data Observability 52

Data Observability Data Silos Data Quality Data Governance 52

Precisely

SEPTEMBER 26, 2024

Building data literacy across your organization empowers teams to make better use of AI tools. It doesn’t seem like long ago that we thought of artificial intelligence (AI) as a futuristic concept—but today, it’s here in full swing, and organizations across sectors are working to integrate it into their core processes.

AI 75

AI AI Data Governance Data Quality 75

Dataconomy

MARCH 18, 2025

What is continuous intelligence? Continuous intelligence is the real-time analysis and processing of data streams to enable automated decision-making and insights. Continuous intelligence represents an evolution in the realm of data analytics.

Machine Learning 91

Machine Learning Machine Learning Data Analysis Data Analysis 91