IBM Journey to AI blog

MAY 1, 2023

Google Cloud Platform (GCP) enables customers to build, manage and deploy modern, scalable applications to achieve digital business success. However, due to its complexity, achieving operational excellence in the cloud is difficult. Let’s review how IBM Turbonomic helps customers optimize their GCP cloud costs.

Clustering 87

Clustering Database Analytics Analytics 87

Dataconomy

MARCH 17, 2023

In today’s era of data-driven business, managing storage infrastructure can be a complex and time-consuming process. With the growing volume and complexity of data, manual storage management tasks are becoming increasingly challenging, which can lead to inefficiencies, errors, and increased costs. What is storage automation?

Data Science 91

Data Science AI AI 91

Hacker News

NOVEMBER 14, 2023

From these data, we can clearly see that the majority of people who use VBA do so mainly because they have no other choice. Links shown in the diagram are where the automation platform can access the data from the various data platforms/sources: Note: Some of the links from VBA to OnCloud services are based on my attempts alone.

Power BI 105

Power BI Database Algorithm Azure 105

Alation

APRIL 27, 2022

They all prioritize a data culture. In fact, 90% of organizations with top-tier data cultures either met or exceeded their revenue targets over the last 12 months. Organizations that do not embrace data culture risk lost revenue and competitive disruption. Data Culture Strongly Associated with Achieving Revenue Goals.

Data Governance 52

Data Governance Analytics Analytics Data Quality 52

Dataconomy

MARCH 17, 2023

In today’s era of data-driven business, managing storage infrastructure can be a complex and time-consuming process. With the growing volume and complexity of data, manual storage management tasks are becoming increasingly challenging, which can lead to inefficiencies, errors, and increased costs. What is storage automation?

Data Science 70

Data Science AI AI 70

Tableau

APRIL 5, 2022

or later, the reference architecture has a tiered topology. Your architects can meet the organization’s specific and unique requirements, whether you’re deployed on-premises or in the cloud, with virtual machines or containers. Migrate to a new and improved identity data structure. For Tableau Server in version 2021.2.3

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Tableau Analytics Analytics 98

Tableau

APRIL 5, 2022

or later, the reference architecture has a tiered topology. Your architects can meet the organization’s specific and unique requirements, whether you’re deployed on-premises or in the cloud, with virtual machines or containers. Migrate to a new and improved identity data structure. For Tableau Server in version 2021.2.3

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Tableau Analytics Analytics 98

IBM Journey to AI blog

JULY 31, 2023

Before the internet and cloud computing , and before smartphones and mobile apps, banks were shuttling payments through massive electronic settlement gateways and operating mainframes as systems of record. Couldn’t execs have run better analyses to spot risks within the data? Why did they fail to launch a new mobile app?

Analytics 54

Analytics Analytics Data Warehouse Cloud Computing 54

AWS Machine Learning Blog

JANUARY 5, 2024

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. Wipro is an AWS Premier Tier Services Partner and Managed Service Provider (MSP).

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AWS Data Science ML ML 110

AWS Machine Learning Blog

MAY 5, 2023

For users who are not familiar with the service offerings that are provided on the cloud platform, they may provide different generic ways and descriptions when searching for such a diagram. Lastly, we cover the data ingestion by an intelligent search service, powered by ML. What images can be too complex to be searchable?

AWS 101

AWS ETL ML ML 101

Mlearning.ai

AUGUST 24, 2023

The Best Linux VPS Hosting ensures that your data is safeguarded against potential threats, giving you peace of mind. Linux VPS hosting is often more affordable than its counterparts, ensuring you get top-tier service without burning a hole in your pocket. Tailored Flexibility : Every venture is unique, and so are its hosting needs.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Alation

JUNE 22, 2021

Of the three pillars of data culture, data literacy is the most challenging to achieve, since it requires broad up-skilling across the organization and, sometimes, fighting human nature itself. According to Gartner, poor data literacy is ranked as the second-biggest internal roadblock to the success of the chief data officer (CDO).

Data Governance 64

Data Governance Analytics Analytics Decision Science 64

IBM Journey to AI blog

OCTOBER 26, 2023

IBM Maximo® Application Suite (MAS) is a single, integrated, cloud-based application platform for asset monitoring, management, predictive maintenance and reliability planning. In this journey, we are seeing an increased interest in migrating and deploying MAS on AWS Cloud. and add-ons by September 2025.

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AWS Clustering Database Analytics 102

phData

FEBRUARY 5, 2024

Moving onto a new data warehousing solution such as Snowflake Data Cloud can be scary. You may be thinking: How are you going to get all your old data moved to Snowflake? What other gotchas am I going to find as we attempt to migrate from our legacy system to Snowflake?

SQL 52

SQL Database Data Quality Data Warehouse 52

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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AWS Database AI AI 83

Cambridge Intelligence

APRIL 30, 2024

We’ve recently explored the huge impact of AI in fraud detection – in this post, we’ll look at eight other trends driving demand for better data visualization in the financial services sector. To stay ahead, you need to understand data, quickly. They’re often left with data silos and inefficient duplication of tasks.

Data Visualization 59

Data Visualization Data Silos AI AI 59

Smart Data Collective

OCTOBER 16, 2022

It’s an excellent idea if you have decided to move your business operations to the cloud. Cloud computing solutions can help your business reduce operational costs, gain unlimited scalability and improve external and internal collaboration. There are many great reasons that the cloud computing market is growing.

Cloud Computing 109

Cloud Computing Azure Cloud Data Database 109

AWS Machine Learning Blog

NOVEMBER 30, 2023

As with all IDE applications in SageMaker Studio, ML developers and engineers can select the underlying compute on demand, and swap it based on their needs without losing data. See Onboard to Amazon SageMaker Domain using Quick setup for more details. An Amazon Elastic Block Storage (Amazon EBS) volume size (this can range from 5GB to 16TB).

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AWS ML ML Machine Learning 102

phData

NOVEMBER 9, 2023

Snowflake’s Data Cloud has emerged as a leader in cloud data warehousing. As a fundamental piece of the modern data stack , Snowflake is helping thousands of businesses store, transform, and derive insights from their data easier, faster, and more efficiently than ever before.

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Data Warehouse Data Lakes Clustering Cloud Data 98

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.

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Data Warehouse Data Lakes Cloud Data Analytics 96

IBM Journey to AI blog

JULY 5, 2023

Data Lakes have been around for well over a decade now, supporting the analytic operations of some of the largest world corporations. Such data volumes are not easy to move, migrate or modernize. The challenges of a monolithic data lake architecture Data lakes are, at a high level, single repositories of data at scale.

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Data Lakes Data Warehouse Data Governance SQL 66