Tableau

JUNE 13, 2022

VP, Chief Data Officer, Tableau. Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, Chief Data Officer, Tableau. In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized data governance is key. Kristin Adderson.

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IBM Journey to AI blog

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users. Data governance.

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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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Dataversity

APRIL 5, 2021

The mandate for IT to deliver business value has never been stronger. However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY.

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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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DataRobot Blog

MARCH 8, 2023

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics. Tune in to learn more. Registration is free for both events.

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IBM Journey to AI blog

JULY 12, 2023

In less than a year, we’ve gone from the “run your business and apply AI to help” paradigm to a reality where enterprises in every industry are navigating how to embed AI into the fabric of their strategies. Generative AI based on foundation models has brought us to this inflection point.

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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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Heartbeat

DECEMBER 7, 2023

What are the new data governance trends, “Data Fabric” and “Data Mesh”? I decided to write a series of blogs on current topics: the elements of data governance that I have been thinking about, reading, and following for a while. What is the Data Fabric? The domain of the data.

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Alation

JANUARY 13, 2022

And now, arguably the greatest rivalry the world (well, at least the data community) has ever witnessed: Data Fabric vs Data Mesh! Data fabric and data mesh are both having a moment. Gartner calls data fabric the Future of Data Management 1. Gartner on Data Fabric.

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IBM Journey to AI blog

DECEMBER 11, 2023

With the rapid advancements in cloud computing, data management and artificial intelligence (AI) , hybrid cloud plays an integral role in next-generation IT infrastructure. A private cloud setup is usually hosted in an organization’s on-premises data center.

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Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric.

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IBM Journey to AI blog

JULY 11, 2023

Additionally, IoT has become a critical part for the streamlining, simplification and overall technological capabilities for enterprises. These IoT connected devices form a critical backbone of data for industry. What new organizational, cross-industry or societal innovation could be generated as a result?

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IBM Journey to AI blog

SEPTEMBER 13, 2023

But we must choose to embrace this new technology and make it part of the fabric of everything that we do. It will automate out the dull, menial and transactional work that consumes an enormous amount of low value add time for our professionals. Applications and data are often trapped within departmental boundaries.

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IBM Journey to AI blog

JULY 16, 2024

Modernized mainframe systems can seamlessly integrate with other systems, applications and data sources, enabling the creation of new business models and revenue streams. Modernizing, on the other hand, allows organizations to retain the value of their existing investments in mainframe technology while reaping the benefits of modernization.

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IBM Journey to AI blog

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

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Alation

MARCH 31, 2023

I’m talking about not just Walt Disney World, but also this year’s Gartner Data & Analytics Summit , which took place last month in Orlando at the landmark resort. Alation was proud to have been among the thought leaders at the annual gathering of data experts from around the world. Mesh or fabric?

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IBM Journey to AI blog

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

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IBM Journey to AI blog

MAY 17, 2023

They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. The complexity of the task determines the cost and availability of functions, as well as how data is processed and integrated. The global commercial drone market is projected to grow from USD 8.15

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Alation

AUGUST 11, 2022

DataOps sprung up to connect data sources to data consumers. Architectures became fabrics. The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. Data fabric, data mesh, modern data stack. Data fabric is a technology architecture.

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AWS Machine Learning Blog

JUNE 20, 2024

A similar problem occurs for some tasks like open-domain question answering—there are often multiple valid answers available in the training data, therefore the LLM could choose to generate an answer from its training data. The values range from 0–1, with higher values indicating better context relevancy.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

In this blog post, you will learn how to optimize MLOps for sustainability. The process begins with data preparation, followed by model training and tuning, and then model deployment and management. Data preparation is essential for model training and is also the first phase in the MLOps lifecycle.

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IBM Journey to AI blog

MAY 23, 2023

As more enterprises move to hybrid cloud environments, hybrid cloud security has become imperative to business growth. According to a 2021 study by the IBM Institute for Business Value (IBV), 80% of executives expected their organizations to operate more than 10 distinct clouds by 2023, up from eight in 2020. million compared to USD 4.24

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IBM Journey to AI blog

OCTOBER 26, 2023

A recent IDC report — The Business Value of IBM Maximo — that surveyed 9 companies with an average of 8,500 employees, found that after these companies adopted IBM Maximo, it resulted in: a business benefit of approximately USD 14.6 million, on average, per year per organization; 43% less unplanned downtime per year; and USD 8.6

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IBM Journey to AI blog

JULY 17, 2023

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. In this blog, I will cover: What is watsonx.ai? What capabilities are included in watsonx.ai? IBM watsonx.ai

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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. Why choose data virtualization?

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Alation

FEBRUARY 8, 2022

The “data textile” wars continue! In our first blog in this series , we define the terms data fabric and data mesh. The second blog took a deeper dive into data fabric, examining its key pillars and the role of the data catalog in each. Data as a product.

Data Governance 52

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IBM Journey to AI blog

DECEMBER 20, 2023

Whether it’s deeper data analysis, optimization of business processes or improved customer experiences , having a well-defined purpose and plan will ensure that the adoption of AI aligns with the broader business goals. This alignment is essential for extracting meaningful value from AI and maximizing its impact.

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Snorkel AI

MARCH 1, 2023

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. But adapting and deploying them for enterprise use cases can pose challenges. Data scientists can build upon generalized FMs and fine-tune custom versions with domain-specific or task-specific training data.

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IBM Journey to AI blog

JANUARY 26, 2024

Data centers, hospitals, government facilities and more use solar power to supplement energy needs. For example, mining uses water in remote locations to aid in extractions and textile and chemical manufacturers may use on-site hydropower systems to power processes such as washing, fabrication, sanitation and more.

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AWS Machine Learning Blog

MAY 7, 2024

The service allows for simple audio data ingestion, easy-to-read transcript creation, and accuracy improvement through custom vocabularies. It has been trained on a wide-ranging corpus of text data to understand various contexts and nuances of language. Amazon Transcribe’s new ASR foundation model supports 100+ language variants.

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AWS Machine Learning Blog

JUNE 25, 2024

With Container Insights, you can now access more granular data and comprehensive analytics, making it effortless for developers to maintain high performance and operational health of their ML workloads. os operator: In values: - linux - key: node.kubernetes.io/instance-type os operator: In values: - linux - key: node.kubernetes.io/instance-type

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ODSC - Open Data Science

FEBRUARY 14, 2023

Trained with 570 GB of data from books and all the written text on the internet, ChatGPT is an impressive example of the training that goes into the creation of conversational AI. While this technology is definitely entertaining, it’s not quite clear yet how it can effectively be applied to the needs of the typical enterprise.

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Alation

AUGUST 30, 2022

we are introducing Alation Anywhere, extending data intelligence directly to the tools in your modern data stack, starting with Tableau. We continue to make deep investments in governance, including new capabilities in the Stewardship Workbench, a core part of the Data Governance App. Then Alation came along.

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AssemblyAI

MAY 23, 2023

" These models are trained using self-supervised learning , a technique that utilizes the data's inherent structure to generate labels for training. These networks, inspired by the human brain, consist of interconnected layers of nodes, or "neurons," that process and learn from data. months on average.

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AWS Machine Learning Blog

MARCH 6, 2023

The size of an LLM and its training data is a double-edged sword: it brings modeling quality, but entails infrastructure challenges. Storage – We see data loading and checkpointing done in two ways, depending on skills and preferences: with an Amazon FSx Lustre file system, or Amazon Simple Storage Service (Amazon S3) only.

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The MLOps Blog

MARCH 15, 2023

If you will ask data professionals about what is the most challenging part of their day to day work, you will likely discover their concerns around managing different aspects of data before they get to graduate to the data modeling stage. This is what data processing pipelines do for you.

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