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. .

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IBM Journey to AI blog

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

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IBM Journey to AI blog

JULY 3, 2024

Open is creating a foundation for storing, managing, integrating and accessing data built on open and interoperable capabilities that span hybrid cloud deployments, data storage, data formats, query engines, governance and metadata. Trusted, governed data is essential for ensuring the accuracy, relevance and precision of AI.

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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? Curious to see Alation in action?

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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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IBM Journey to AI blog

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

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Alation

APRIL 7, 2021

Business and technical users have always found Alation Data Catalog simple to use and manage. Enterprises can use the data catalog without any administrative overhead. Deliver data intelligence, as a service. The cloud unifies a distributed data landscape. Subscribe to Alation's Blog.

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phData

FEBRUARY 13, 2024

That’s why we here at phData, with support from our partners at Snowflake Data Cloud and SNP, have created a solution to allow businesses to perform SAP analytics within Snowflake. In this blog, we’ll explain SAP, why you should offload your SAP data to Snowflake, and how our SAP to Snowflake solution works. What is SAP?

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Pickl AI

NOVEMBER 15, 2023

This centralization streamlines data access, facilitating more efficient analysis and reducing the challenges associated with siloed information. With all data in one place, businesses can break down data silos and gain holistic insights. It often serves as a source for Data Warehouses.

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Alation

APRIL 12, 2022

Many companies have tasked their CDOs with enabling business users to perform their own analytics. Even when users are well versed in their preferred business intelligence (BI) tool, however, finding and accessing the right data assets continues to represent a key hurdle. Reducing Data Silos.

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IBM Journey to AI blog

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

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Alation

OCTOBER 12, 2021

In enterprises especially, which typically collect vast amounts of data, analysts often struggle to find, understand, and trust data for analytics reporting. Immense volume leads to data silos, and a holistic view of the business becomes more difficult to achieve. Subscribe to Alation's Blog.

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Dataversity

NOVEMBER 10, 2021

Data is generated and collected at each one of these – and numerous other – touchpoints. The post 4 Key Steps to Using Customer Data More Effectively appeared first on DATAVERSITY. Customers now interact with brands in a variety of ways. But many companies do not know […].

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IBM Journey to AI blog

SEPTEMBER 5, 2024

Regularly reviewing the framework and adjusting it based on feedback, new regulations or changes in business strategy fosters a culture that values data as a strategic asset, supporting effective business intelligence and data use across the organization.

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phData

JULY 14, 2023

However, the data that can shed light on these insights are often fragmented across various platforms and services, posing challenges in creating comprehensive customer profiles. In this blog, I’ll briefly overview the Adtech industry, how the Snowflake Data Cloud fits into it, and showcase Adteck companies already making use of it.

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phData

FEBRUARY 27, 2024

The Snowflake Data Cloud is a cloud-based data warehouse that is becoming increasingly popular among businesses of all sizes. Snowflake is highly scalable and easy to manage within one account for most businesses, but when is it beneficial to use multiple accounts in Snowflake? Establish data governance guidelines.

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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 […].

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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. ” This notion underscores the pivotal role of data in today’s dynamic landscape. So, let’s get started.

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phData

NOVEMBER 13, 2023

In this blog, we’ll spotlight the transformative announcements that emerged from the Coalesce Conference. Join us as we navigate the key takeaways defining the future of data transformation. dbt Mesh Enterprises today face the challenge of managing massive, intricate data projects that can slow down innovation.

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The MLOps Blog

MAY 17, 2023

These pipelines assist data scientists in saving time and effort by ensuring that the data is clean, properly formatted, and ready for use in machine learning tasks. Moreover, ETL pipelines play a crucial role in breaking down data silos and establishing a single source of truth.

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Pickl AI

APRIL 8, 2025

Types of Dimensions in Data Warehouse include conformed, role-playing, slowly changing, junk, and degenerate dimensions. Each type serves a specific purpose in organizing and analysing data for effective business intelligence, ensuring consistency, historical accuracy, and simplified queries.

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