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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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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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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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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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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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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Flipboard

MAY 14, 2025

This unified solution transforms hours of manual data aggregation into instant insights using natural language queries while maintaining robust security and permissions. He holds a masters degree in Data Science and specializes in building scalable artificial intelligence solutions.

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Dataconomy

JULY 19, 2023

From time-tested giants to ambitious newcomers, each of these projects harnesses the immense potential of Artificial Intelligence, pushing the boundaries of what’s possible in the decentralized realm. Ocean Protocol is designed to address the challenges of data sharing and monetization. Feel free the use them.

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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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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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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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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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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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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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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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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.

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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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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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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.

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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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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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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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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.”

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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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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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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 68

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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.

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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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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.

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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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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.

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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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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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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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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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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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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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