How Artificial Intelligence Can Break Through Data Silos
JANUARY 30, 2023
Data silos are a problem for many businesses, and often create barriers to information sharing and collaboration across departments within an …
Understanding Data Silos: Definition, Challenges, and Solutions
Pickl AI
DECEMBER 25, 2024
Summary: Data silos are isolated data repositories within organisations that hinder access and collaboration. Eliminating data silos enhances decision-making, improves operational efficiency, and fosters a collaborative environment, ultimately leading to better customer experiences and business outcomes.
Data Silos 
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Why Removing Data Silos Is Key To Unlocking AI Value
FEBRUARY 3, 2025
By Stuart Grant, Global GTM for Capital Markets, SAP According to a recent McKinsey study, data silos cost businesses an average of $3.1 Failing to leverage data properly is an eye wateringly expensive trillion annually in lost revenue and productivity. Thats a huge number. How much of it is yours?
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Redefining AIOps IT Workflows with Legacy System Visibility
Precisely
DECEMBER 16, 2024
Artificial intelligence (AI) has emerged as a game-changer, helping organizations streamline operations, address incidents proactively, and achieve greater observability across their infrastructure. Tool overload can lead to inefficiencies and data silos. Legacy systems operate in isolation. Manual workflows.
How AI and ML Can Transform Data Integration
Smart Data Collective
OCTOBER 20, 2021
For people striving to rule the data integration and data management world, it should not be a surprise that companies are facing difficulty in accessing and integrating data across system or application data silos. The role of Artificial Intelligence and Machine Learning comes into play here.
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PicnicHealth introduces AI Health Assistant to simplify patient care
Dataconomy
NOVEMBER 19, 2024
By integrating health data from any U.S. care site, Picnic breaks down data silos and makes it easier to navigate a complex healthcare system. Picnic simplifies medical records and provides actionable insights, enabling patients to make informed decisions.
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Data Integration for AI: Top Use Cases and Steps for Success
Precisely
FEBRUARY 20, 2025
Follow five essential steps for success in making your data AI ready with data integration. Define clear goals, assess your data landscape, choose the right tools, ensure data quality and governance, and continuously optimize your integration processes. Thats where data integration comes in.
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Sneak peek at Microsoft Fabric price and its promising features
Dataconomy
JUNE 1, 2023
Unified data storage : Fabric’s centralized data lake, Microsoft OneLake, eliminates data silos and provides a unified storage system, simplifying data access and retrieval. This open format allows for seamless storage and retrieval of data across different databases.
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Data Integrity: The Foundation for Trustworthy AI/ML Outcomes and Confident Business Decisions
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.
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Supercharge your data strategy: Integrate and innovate today leveraging data integration
IBM Journey to AI blog
OCTOBER 22, 2024
Data is the differentiator as business leaders look to utilize their competitive edge as they implement generative AI (gen AI). Leaders feel the pressure to infuse their processes with artificial intelligence (AI) and are looking for ways to harness the insights in their data platforms to fuel this movement.
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Mainframe Data Meets AI: Reducing Bias and Enhancing Predictive Power
Precisely
DECEMBER 12, 2024
In todays rapidly evolving technological landscape, businesses across industries are constantly looking for ways to harness the power of artificial intelligence (AI) to drive better decision-making, enhance customer experiences, and create efficiencies in operations. The potential benefits of these integrations.
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AI Drug Discovery: How It’s Changing the Game
Becoming Human
MARCH 16, 2023
How AI is applied Artificial Intelligence covers various technologies and approaches that involve using sophisticated computational methods to mimic elements of human intelligence such as visual perception, speech recognition, decision-making, and language understanding. And that’s where AI drug discovery could play a role.
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8 steps to build a successful multicloud strategy
IBM Journey to AI blog
JANUARY 30, 2024
Besides paying for unnecessary or forgotten workloads, overprovisioning can also increase the multicloud attack surface, making it more vulnerable to data breaches or cyberattacks. Data silos: With data spread across multiple clouds and platforms, an organization risks creating data silos. trillion in 2027.
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4 Practical Tips for Implementing Data-Driven Personalization
Precisely
NOVEMBER 11, 2024
In fact, according to McKinsey & Company, companies that excel in personalization generate 40% more revenue than their peers. Experience in customer experience management (CXM): The ideal partner will have a proven track record of leadership in CXM.
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Mastering healthcare data governance with data lineage
IBM Journey to AI blog
MAY 9, 2024
Challenges in data governance for healthcare and how data lineage can help Data governance can help healthcare organizations maximize the accuracy and security of their data assets. Data quality issues Positive business decisions and outcomes rely on trustworthy, high-quality data.
Data virtualization unifies data for seamless AI and analytics
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.
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6 best practices for choosing a business planning solution
IBM Journey to AI blog
OCTOBER 18, 2024
However, with the rise of digital transformation and advanced technologies like artificial intelligence (AI), business planning has evolved into a proactive, data-driven strategy. Strong integration capabilities ensure smooth data flow between departments, eliminating data silos. Flexibility is key.
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Boosting Customer Loyalty with Personalization and Communication Strategies
Precisely
NOVEMBER 11, 2024
In fact, according to McKinsey & Company, companies that excel in personalization generate 40% more revenue than their peers. Experience in customer experience management (CXM): The ideal partner will have a proven track record of leadership in CXM.
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Why Legacy CCM Systems Are Costing You Customers and Employees
Precisely
AUGUST 12, 2024
Data silos Limited integration capabilities Fragmented communications Workflow problems Limited scalability The fact is, your legacy systems can create great risks for your business. The Challenges of Legacy CCM Technology First, let’s dive deeper into what’s pushing this need for CXPs. Do any of these common barriers feel familiar?
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A Deep Dive into Data Strategy: Accelerating AI Adoption for Businesses
Dataversity
AUGUST 2, 2024
In today’s digital age, vast amounts of business data are gathered from different sources. Even when organizations strategically invest in analytics tools, they still face challenges in the form of data silos, unstructured data management, and failure of business-driven insights from tools.
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Enhancing Data Fabric with SQL Asset Type in IBM Knowledge Catalog
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.
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Enable data sharing through federated learning: A policy approach for chief digital officers
AWS Machine Learning Blog
MARCH 15, 2024
Federation learning to save the day (and save lives) For good artificial intelligence (AI), you need good data. Legacy systems, which are frequently found in the federal domain, pose significant data processing challenges before you can derive any intelligence or merge them with newer datasets.
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What is a data fabric?
Tableau
APRIL 18, 2022
What if the problem isn’t in the volume of data, but rather where it is located—and how hard it is to gather? Nine out of 10 IT leaders report that these disconnects, or data silos, create significant business challenges.* After all, the average enterprise has 900 applications, but only one-third of them are connected.
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What is a data fabric?
Tableau
APRIL 18, 2022
What if the problem isn’t in the volume of data, but rather where it is located—and how hard it is to gather? Nine out of 10 IT leaders report that these disconnects, or data silos, create significant business challenges.* After all, the average enterprise has 900 applications, but only one-third of them are connected.
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Should Artificial General Intelligence Still Be Pursued Despite the Risks?
ODSC - Open Data Science
MAY 17, 2023
There are three main types of artificial intelligence (AI). The first is artificial narrow intelligence (ANI), which is very limited in what it can do. Then, there’s artificial general intelligence (AGI), which can perform comparably to humans. That’s often called the “black-box problem.”
How Investment Banks and Asset Managers Should Be Leveraging Data in Snowflake
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.
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Customers and Banks Priorities Collide as AI Jolts Financial Industry
Smart Data Collective
JUNE 3, 2019
The promise of significant and measurable business value can only be achieved if organizations implement an information foundation that supports the rapid growth, speed and variety of data. This integration is even more important, but much more complex with Big Data.
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How to Power Successful AI Projects with Trusted Data
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.
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Recommendations to Level Up Your Machine Learning Platform
Dataversity
FEBRUARY 17, 2022
With machine learning (ML) and artificial intelligence (AI) applications becoming more business-critical, organizations are in the race to advance their AI/ML capabilities. To realize the full potential of AI/ML, having the right underlying machine learning platform is a prerequisite.
Your Guide to Unlocking Trusted AI with Reliable Data
Precisely
MARCH 4, 2024
What if every decision, recommendation, and prediction made by artificial intelligence (AI) was as reliable as your most trusted team members? Next, you’ll see valuable AI use cases and how data integrity powers success. Technology-driven insights and capabilities depend on trusted data.
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Why Your Data Governance Strategy is Failing
Alation
OCTOBER 5, 2021
Without a doubt, no company can achieve lasting profitability and sustainable growth with a poorly constructed data governance methodology. Today, all companies must pursue data analytics, Machine Learning & Artificial Intelligence (ML & AI) as an integral part of any standard business plan.
In Uncertain Times, Data Integrity is More Important Than Ever
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?
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Why Lean Data Management Is Vital for Agile Companies
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.
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How IBM process mining unleashed new efficiencies in BoB-Cardif Life
IBM Journey to AI blog
JANUARY 15, 2024
It introduced Robotic Process Automation (RPA) in pilot scenarios to swiftly enhance process efficiency and quality, integrating system resources cost-effectively and breaking data silos. ” IBM Process Mining can use data from enterprise resource planning (ERP), customer relationship management (CRM), and other business systems.
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Trustworthy AI, Powered by Trusted Data
Precisely
MAY 16, 2024
When you think about the potential of artificial intelligence (AI) for your business, what comes to mind? To achieve trustworthy AI outcomes, you need to ground your approach in three crucial considerations related to data’s completeness, trustworthiness, and context. Chances are it’s not just one use case but many.
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A Guide to Data Analytics in the Travel Industry
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?
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52 Unlocking financial benefits through data monetization
IBM Journey to AI blog
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.
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SMEs Use AI-Driven Financial Software for Greater Efficiency
Smart Data Collective
MARCH 27, 2023
These tools will be well adapted for sharing data between departments and generally optimizing your operations. Tools that don’t integrate can result in “data siloes.” In these situations, your business has all of the data it could ever want, but not in places that are accessible.
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Build Trusted Data for Your Insurance Cloud Migration Initiatives
Precisely
JUNE 12, 2023
Insurance companies that use artificial intelligence and machine learning (AI/ML) technology, for example, are competing aggressively and winning market share. Lack of agility : To take advantage of the newest advances in technology, insurers must have the capacity to use their data efficiently and effectively.
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Data Intelligence empowers informed decisions
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. and ‘‘What is the difference between Data Intelligence and Artificial Intelligence ?’. Look at the table below.
Solving Complex Telecom Challenges with Data Governance and Location Analytics
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.
Take the Route to AI Success with DataOps and MLOps
DataRobot Blog
AUGUST 16, 2022
If you’ve been keeping up with business literature lately, you know that adopting artificial intelligence (AI) strategies can increase company revenue, improve efficiency, and keep customers happy. But even the best models cannot improve performance until they are put into production. What are companies actually doing today?
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How IBM and AWS are partnering to deliver the promise of AI for business
IBM Journey to AI blog
OCTOBER 30, 2023
The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability. By migrating to watsonx.data on AWS, companies can break down data silos and enable real-time analytics, which is crucial for timely decision-making.
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Meet the Final Winners of the U.S. PETs Prize Challenge
DrivenData Labs
MARCH 30, 2023
Our team is driven by a shared vision that data is the ultimate source of power for artificial intelligence. We believe that the effective integration of information from distributed data owners is key to continually improving our decision-making capabilities. What motivated you to participate? :
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