Dataconomy

FEBRUARY 13, 2025

Databricks has announced the launch of SAP Databricks , a new integration that connects the Databricks Data Intelligence Platform with the SAP Business Data Cloud. The partnership aims to help enterprises unify SAP data with other business-critical systems , improving data warehousing, AI applications, and analytics.

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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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Flipboard

NOVEMBER 22, 2024

Amazon DataZone offers a powerful approach to data management and governance, empowering organizations to unlock their data’s true value while maintaining the highest standards of security, compliance, and data privacy. Ram Vittal is a Principal Generative AI Solutions Architect at AWS.

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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. How Can AI Transform Data Integration?

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Flipboard

JANUARY 7, 2025

Almost half of AI projects are doomed by poor data quality, inaccurate or incomplete data categorization, unstructured data, and data silos. Avoid these 5 mistakes

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Dataconomy

FEBRUARY 25, 2025

Procurement intelligence provider Beroe has integrated its AI-powered assistant, Abi, with the Microsoft Copilot Store. Addressing data silos in procurement A key challenge in procurement is the fragmentation of data across different systems, hindering efficient decision-making.

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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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Precisely

DECEMBER 16, 2024

Modern IT environments require comprehensive data for successful AIOps, that includes incorporating data from legacy systems like IBM i and IBM Z into ITOps platforms. The shift from reactive to proactive IT operations is driven by AI-powered analysis, automation and insights. Legacy systems operate in isolation.

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Becoming Human

MARCH 16, 2023

AI drug discovery is exploding. Overhyped or not, investments in AI drug discovery jumped from $450 million in 2014 to a whopping $58 billion in 2021. AI has already helped identify promising candidate therapeutics, and it didn’t take years but months or even days. We will look at success stories, AI benefits, and limitations.

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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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Smart Data Collective

MARCH 27, 2023

AI is driving major changes in the financial world. billion on AI in 2021 , but small businesses may spend even more on AI-driven financial management software. The banking industry is among those most heavily affected by AI. AI-based anti-money laundering solutions are also being used to prevent fraud.

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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.

Analytics 81

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Dataversity

AUGUST 2, 2024

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

OCTOBER 30, 2023

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. According to a survey by the MIT Sloan Management Review, nearly 85% of executives believe generative AI will enable their companies to obtain or sustain a competitive advantage.

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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. AI tools also look at equity value. Equity Amount.

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IBM Journey to AI blog

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?

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IBM Journey to AI blog

JANUARY 30, 2024

Multicloud architecture not only empowers businesses to choose a mix of the best cloud products and services to match their business needs, but it also accelerates innovation by supporting game-changing technologies like generative AI and machine learning (ML). trillion in 2027.

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IBM Journey to AI blog

OCTOBER 18, 2024

A robust planning solution offers AI-powered capabilities, scalability, and unmatched flexibility, positioning it as the future of business planning. However, with the rise of digital transformation and advanced technologies like artificial intelligence (AI), business planning has evolved into a proactive, data-driven strategy.

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Precisely

MAY 16, 2024

Key takeaways: The success of your AI initiatives hinges on the integrity of your data. Ensure your data is accurate, consistent, and contextualized to enable trustworthy AI systems that avoid biases, improve accuracy and reliability, and boost contextual relevance and nuance. What does AI-ready data look like?

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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.

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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. A structured, business-first approach to AI is essential. Above all, you must remember that trusted AI starts with trusted data.

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Precisely

APRIL 3, 2025

A poorly managed archiving system can lead to compliance risks, data silos, and inefficiencies that slow down operations. GDPR, CCPA, SEC, HIPAA) How long must data be retained, and in what format? Can archived data support analytics, AI models, or other business initiatives?

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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.

Data Governance 85

Data Governance Data Silos Data Quality Predictive Analytics 85

Dataversity

MARCH 15, 2023

With its numbers, characters, facts, and statistics – the operations performed, stored, and analyzed – data has become an irreplaceable facet of daily life. We use data to identify strengths and weaknesses. It helps […] The post Is Data the Achilles Heel of AI? appeared first on DATAVERSITY.

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IBM Journey to AI blog

JANUARY 23, 2023

Ensure data quality Regularly check your data for accuracy and completeness. Break down data silos Data silos are the bane of any data governance program. If you’d like to explore more about data governance now, we recommend you check out The Data Differentiator.

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DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. Learn more about DataRobot hosted notebooks. Learn more at DataRobot.com/Snowflake.

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Dataversity

JANUARY 5, 2024

The average enterprise IT organization is managing petabytes of file and object data. This has resulted in high costs for data storage and protection, growing security risks from shadow IT and too many data silos, and the desire to leverage […] The post Unstructured Data Management Predictions for 2024 appeared first on DATAVERSITY.

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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? This isn’t a distant dream – it’s a tangible reality with trusted AI. But how can you make sure your AI can be trusted? Remember some of the newsworthy AI mishaps of 2023?

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AI AI Data Quality Artificial Intelligence 72

Ocean Protocol

DECEMBER 11, 2023

Sell data NFTs. Transfer data NFTs & datatokens. This has many applications, from decentralized marketplaces to peer-to-peer platforms and AI-generated art. Sell datatokens for a fixed price. For more inspiration, you can check out these examples.

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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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Flipboard

FEBRUARY 12, 2025

Artificial intelligence (AI) is accelerating at an astonishing pace, quickly moving from emerging technologies to impacting how businesses run. From building AI agents to interacting with technology in ways that feel more like a natural conversation, AI technologies are poised to transform how we work. Lets dive in.

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IBM Data Science in Practice

NOVEMBER 28, 2022

Insights from data gathered across business units improve business outcomes, but having heterogeneous data from disparate applications and storages makes it difficult for organizations to paint a big picture. How can organizations get a holistic view of data when it’s distributed across data silos?

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IBM Journey to AI blog

JULY 3, 2024

By 2026, over 80% of enterprises will deploy AI APIs or generative AI applications. AI models and the data on which they’re trained and fine-tuned can elevate applications from generic to impactful, offering tangible value to customers and businesses. Data is exploding, both in volume and in variety.

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phData

DECEMBER 4, 2024

Generative AI might be the hottest buzzword in nearly every industry (especially in manufacturing), but it’s also one of the most misunderstood concepts. Despite all the mysticism, generative AI is remarkable and worth the hype. Why Implement Generative AI in Manufacturing? Why Implement Generative AI in Manufacturing?

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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

MAY 15, 2024

Business leaders risk compromising their competitive edge if they do not proactively implement generative AI (gen AI). However, businesses scaling AI face entry barriers. This situation will exacerbate data silos, increase costs and complicate the governance of AI and data workloads.

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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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