Dataconomy

JUNE 1, 2023

Microsoft has made good on its promise to deliver a simplified and more efficient Microsoft Fabric price model for its end-to-end platform designed for analytics and data workloads. Microsoft’s unified pricing model for the Fabric suite marks a significant advancement in the analytics and data market.

Power BI 194

Power BI Data Lakes Azure Data Silos 194

Flipboard

NOVEMBER 22, 2024

It enables different business units within an organization to create, share, and govern their own data assets, promoting self-service analytics and reducing the time required to convert data experiments into production-ready applications. Ram Vittal is a Principal Generative AI Solutions Architect at AWS.

Data Governance 132

Data Governance ML ML Data Lakes 132

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.

Data Silos 113

Data Silos AI AI Azure 113

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

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.

Artificial Intelligence 59

Artificial Intelligence Artificial Intelligence Data Silos Machine Learning 59

Flipboard

MAY 5, 2025

This blog post explores how cutting-edge artificial intelligence (AI) techniques, powered by Amazon Web Services (AWS), can transform how users interact with knowledge bases. Connecting insights across data silos: LLMs can synthesize information from multiple reports and databases, delivering integrated perspectives.

AWS 73

AWS Data Silos Database Artificial Intelligence 73

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 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.

Data Silos 102

Data Silos Data Pipeline DataOps Business Intelligence 102

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.

AWS 95

AWS AI Data Warehouse AI 95

Dataconomy

JULY 19, 2023

Welcome, crypto enthusiasts and futurists, to an exhilarating journey into the world of AI cryptocurrencies, where innovation meets the power of the blockchain to redefine the future of wealth. Join us as we unravel the potential that lies within these AI cryptocurrencies and uncover how they are revolutionizing various industries.

AI 172

AI AI Artificial Intelligence Artificial Intelligence 172

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 105

AWS Analytics Analytics Machine Learning 105

Dataconomy

MAY 26, 2025

Big data management refers to the strategies and processes involved in handling extensive volumes of structured and unstructured data to ensure high data quality and accessibility for analytics and business intelligence applications. Efficient resource management: Better data handling saves time and manpower.

Big Data 91

Big Data Big Data Apache Hadoop Data Quality 91

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?

Data Warehouse 92

Data Warehouse AWS AI AI 92

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. Enter the open data lakehouse.

Data Warehouse 110

Data Warehouse Data Lakes Cloud Data Analytics 110

AWS Machine Learning Blog

DECEMBER 3, 2024

Amazon Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. He has helped Fortune 500 companies with their AIML/Generative AI needs. and overall product accuracy optimizations.

AWS 106

AWS Database Data Lakes Data Silos 106

Pickl AI

DECEMBER 10, 2024

Summary : Data Analytics trends like generative AI, edge computing, and Explainable AI redefine insights and decision-making. Businesses harness these innovations for real-time analytics, operational efficiency, and data democratisation, ensuring competitiveness in 2025. from 2023 to 2030. from 2023 to 2030.

Analytics 52

Analytics Analytics Augmented Analytics Machine Learning 52

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.

Data Silos 101

Data Silos Analytics Analytics AI 101

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?

Data Silos 64

Data Silos Analytics Analytics AI 64

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

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.

Data Silos 52

Data Silos AI AI Analytics 52

Dataversity

APRIL 1, 2021

In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […].

Analytics 69

Analytics Analytics Data Silos Data Lakes 69

Precisely

FEBRUARY 12, 2024

For instance, telcos are early adopters of location intelligence – spatial analytics has been helping telecommunications firms by adding rich location-based context to their existing data sets for years. Despite that fact, valuable data often remains locked up in various silos across the organization.

Data Governance 64

Data Governance Analytics Analytics Machine Learning 64

Alation

MARCH 21, 2023

For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. What is big data in the travel and tourism industry? Why is data analytics important for travel organizations?

Analytics 52

Analytics Analytics Data Silos Big Data 52

Alation

MAY 2, 2023

Hospitality organizations use data analytics to unlock insights, improve operations, and maximize profits. Leveraging analytics enables companies in this space to achieve financial and operational efficiencies while delivering personalized services and offerings. What is data analytics in the hospitality industry?

Analytics 52

Analytics Analytics Data Silos Data Governance 52

Alation

OCTOBER 12, 2021

Enterprise data analytics enables businesses to answer questions like these. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business. What is Enterprise Data Analytics? Data engineering. Analytics forecasting.

Analytics 52

Analytics Analytics Data Governance DataOps 52

Alation

JANUARY 27, 2022

How do businesses transform raw data into competitive insights? Data analytics. Modern businesses are increasingly leveraging analytics for a range of use cases. Analytics can help a business improve customer relationships, optimize advertising campaigns, develop new products, and much more. What is Data Analytics?

Data Governance 52

Data Governance Analytics Analytics Data Quality 52

Smart Data Collective

JUNE 3, 2019

Big Data’s most effective strategies identify business requirements first, and then leverage existing infrastructure, data sources and analytical solutions to support the business opportunity. Customer-focused analysis dominates Big Data initiatives. AI tools also look at equity value. Equity Amount.

Big Data 85

Big Data Big Data Data Silos AI 85

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 a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

AWS 101

AWS Analytics Analytics Machine Learning 101

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.

Cloud Computing 115

Cloud Computing Data Silos Azure AWS 115

IBM Data Science in Practice

NOVEMBER 28, 2022

As organizations steer their business strategies to become data-driven decision-making organizations, data and analytics are more crucial than ever before. How can organizations get a holistic view of data when it’s distributed across data silos? Implementing a data fabric architecture is the answer.

Data Pipeline 130

Data Pipeline Data Quality Data Preparation Data Governance 130

Pickl AI

APRIL 24, 2023

The primary focus of every organisation across the industry spectrums is to harness the power of data. Here comes the role of a cloud-based data analytics platform. These cloud-based platforms empower businesses to work on bulk data and process it efficiently. However, not all analytics platforms are the same.

Analytics 52

Analytics Analytics Data Analysis Data Analysis 52

IBM Journey to AI blog

MAY 9, 2024

Conversely, confidence in the accuracy and consistency of your data can minimize the risk of adverse health outcomes, rather than merely reacting to or causing them. Also, using predictive analytics can help identify trends, patterns and potential future health risks in your patients.

Data Governance 85

Data Governance Data Silos Data Quality Predictive Analytics 85

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.* Analytics data catalog. Data quality and lineage. Augmented analytics.

Tableau 102

Tableau Data Quality Analytics Analytics 102

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.* Analytics data catalog. Data quality and lineage. Augmented analytics.

Tableau 98

Tableau Data Quality Analytics Analytics 98

Alation

MAY 2, 2023

Hospitality organizations use data analytics to unlock insights, improve operations, and maximize profits. Leveraging analytics enables companies in this space to achieve financial and operational efficiencies while delivering personalized services and offerings. What is data analytics in the hospitality industry?

Analytics 40

Analytics Analytics Data Silos Data Governance 40

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?

AI 69

AI AI AWS Data Quality 69

Precisely

JANUARY 17, 2023

Technology helped to bridge the gap, as AI, machine learning, and data analytics drove smarter decisions, and automation paved the way for greater efficiency. AI and machine learning initiatives play an increasingly important role. Clickstream analytics and mobile trace data offer consumer behavior insights.

Data Quality 97

Data Quality Machine Learning Machine Learning Data Silos 97