Precisely

MAY 4, 2023

It includes streaming data from smart devices and IoT sensors, mobile trace data, and more. Data is the fuel that feeds digital transformation. But with all that data, there are new challenges that may require consider your data observability strategy. Is your data governance structure up to the task?

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DECEMBER 12, 2023

It includes streaming data from smart devices and IoT sensors, mobile trace data, and more. Data is the fuel that feeds digital transformation. But with all that data, there are new challenges that may prompt you to rethink your data observability strategy. Learn more here.

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NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. AI drives the demand for data integrity.

Analytics 72

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Pickl AI

OCTOBER 10, 2023

In this blog, we are going to unfold the two key aspects of data management that is Data Observability and Data Quality. Data is the lifeblood of the digital age. Today, every organization tries to explore the significant aspects of data and its applications. What is Data Observability and its Significance?

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Dataversity

APRIL 25, 2022

If data processes are not at peak performance and efficiency, businesses are just collecting massive stores of data for no reason. Data without insight is useless, and the energy spent collecting it, is wasted. The post Solving Three Data Problems with Data Observability appeared first on DATAVERSITY.

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Precisely

NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. AI drives the demand for data integrity.

Analytics 59

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ODSC - Open Data Science

FEBRUARY 28, 2023

We couldn’t be more excited to announce our first group of partners for ODSC East 2023’s AI Expo and Demo Hall. These organizations are shaping the future of the AI and data science industries with their innovative products and services. These tools are designed to help companies derive insights from big data.

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AUGUST 29, 2024

Key Takeaways Data quality ensures your data is accurate, complete, reliable, and up to date – powering AI conclusions that reduce costs and increase revenue and compliance. Data observability continuously monitors data pipelines and alerts you to errors and anomalies. stored: where is it located?

Data Governance 52

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IBM Journey to AI blog

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

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IBM Journey to AI blog

JUNE 5, 2024

Given the volume of SaaS apps on the market (more than 30,000 SaaS developers were operating in 2023) and the volume of data a single app can generate (with each enterprise businesses using roughly 470 SaaS apps), SaaS leaves businesses with loads of structured and unstructured data to parse. What are application analytics?

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IBM Journey to AI blog

FEBRUARY 2, 2024

Instead of developing a custom solution solely for the immediate concern, IBM sought a widely applicable data validation solution capable of handling not only this scenario but also potential overlooked issues. That is when I discovered one of our recently acquired products, IBM® Databand® for data observability.

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Precisely

SEPTEMBER 19, 2024

Key Takeaways: Data integrity is essential for AI success and reliability – helping you prevent harmful biases and inaccuracies in AI models. Robust data governance for AI ensures data privacy, compliance, and ethical AI use. Proactive data quality measures are critical, especially in AI applications.

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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

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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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ODSC - Open Data Science

JULY 20, 2023

Popular Machine Learning Libraries, Ethical Interactions Between Humans and AI, and 10 AI Startups in APAC to Follow Demystifying Machine Learning: Popular ML Libraries and Tools In this comprehensive guide, we will demystify machine learning, breaking it down into digestible concepts for beginners, including some popular ML libraries to use.

Machine Learning 52

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ODSC - Open Data Science

JANUARY 9, 2024

Data engineers act as gatekeepers that ensure that internal data standards and policies stay consistent. Data Observability and Monitoring Data observability is the ability to monitor and troubleshoot data pipelines. Conclusion It’s clear that 2024 is going to be an amazing year for data engineering.

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MARCH 7, 2024

Insurance industry leaders are just beginning to understand the value that generative AI can bring to the claims management process. Yet experts warn that without proactive attention to data quality and data governance, AI projects could face considerable roadblocks.

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IBM Journey to AI blog

AUGUST 23, 2023

The recent success of artificial intelligence based large language models has pushed the market to think more ambitiously about how AI could transform many enterprise processes. However, consumers and regulators have also become increasingly concerned with the safety of both their data and the AI models themselves.

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Dataversity

JULY 19, 2024

We’re seeing a lot of convergence in the market between observability vendors and companies positioned as artificial intelligence (AI) companies. It’s a natural marriage, since AI has the potential to significantly improve what observability does.

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ODSC - Open Data Science

MAY 16, 2023

AI in Data Observability Automation has steadily become more common in data management software, but it’ll reach new heights in 2023. Automation and artificial intelligence (AI) will see particular growth in the realm of observability.

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JUNE 6, 2023

Salam noted that organizations are offloading computational horsepower and data from on-premises infrastructure to the cloud. This provides developers, engineers, data scientists and leaders with the opportunity to more easily experiment with new data practices such as zero-ETL or technologies like AI/ML.

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ODSC - Open Data Science

FEBRUARY 14, 2023

Beyond Monitoring: The Rise of Data Observability Shane Murray Field | CTO | Monte Carlo This session addresses the problem of “data downtime” — periods of time when data is partial, erroneous, missing or otherwise inaccurate — and how to eliminate it in your data ecosystem with end-to-end data observability.

Data Engineering 52

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Precisely

FEBRUARY 10, 2023

Advanced analytics and AI/ML continue to be hot data trends in 2023. According to a recent IDC study, “executives openly articulate the need for their organizations to be more data-driven, to be ‘data companies,’ and to increase their enterprise intelligence.”

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Dataversity

DECEMBER 27, 2024

To remain competitive, organizations must embrace cutting-edge technologies and trends that optimize how data is engineered, processed, and utilized. From decentralized frameworks to AI-driven advancements, 2025 is poised to […] The post 2025s Game-Changers: The Future of Data Engineering Unveiled appeared first on DATAVERSITY.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

IBM Data Science in Practice

NOVEMBER 28, 2022

Customer 360 : create a comprehensive view of client Multicloud data integration : integrate data across any hybrid and multicloud landscapes Data governance and privacy : automate to manage data trust, protection and compliance MLOps and trustworthy AI : enable an end-to-end AI workflow infused with data governance and privacy Data observability : (..)

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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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AWS Machine Learning Blog

AUGUST 21, 2024

By using the AWS SDK, you can programmatically access and work with the processed data, observability information, inference parameters, and the summary information from your batch inference jobs, enabling seamless integration with your existing workflows and data pipelines.

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SEPTEMBER 11, 2023

Artificial intelligence (AI) has many applications, ranging from software products to appliances to cars and everything in between. AI has already made significant advancements in software – with even more exciting and promising developments ahead. So, What Does This All Mean for Precisely?

Data Quality 52

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ODSC - Open Data Science

JANUARY 11, 2024

Getting Started with AI in High-Risk Industries, How to Become a Data Engineer, and Query-Driven Data Modeling How To Get Started With Building AI in High-Risk Industries This guide will get you started building AI in your organization with ease, axing unnecessary jargon and fluff, so you can start today.

Data Engineering 52

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Alation

MAY 24, 2022

This has created many different data quality tools and offerings in the market today and we’re thrilled to see the innovation. People will need high-quality data to trust information and make decisions. Alation has been leading the evolution of the data catalog to a platform for data intelligence.

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IBM Journey to AI blog

FEBRUARY 26, 2024

That’s why data pipeline observability is so important. Data lineage expands the scope of your data observability to include data processing infrastructure or data pipelines, in addition to the data itself.

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Data Pipeline Data Engineering Data Engineer Data Engineering 112

Alation

JANUARY 20, 2022

Minimum and maximum values for data elements? Frequency of data? Data patterns? Step 6: Data Quality Rules. With profiling complete, you can use a data quality tool to create rules supporting data quality. Step 7: Data Quality Metrics. These integrations let us provide a whole product.

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Precisely

FEBRUARY 9, 2024

In 2023, organizations dealt with more data than ever and witnessed a surge in demand for artificial intelligence use cases – particularly driven by generative AI. They relied on their data as a critical factor to guide their businesses to agility and success.

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The MLOps Blog

JUNE 27, 2023

With Azure Machine Learning, data scientists can leverage pre-built models, automate machine learning tasks, and seamlessly integrate with other Azure services, making it an efficient and scalable solution for machine learning projects in the cloud. Might be useful Unlike manual, homegrown, or open-source solutions, neptune.ai

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Precisely

MAY 31, 2023

A data catalog of both business and technical metadata, shared by all data integrity services, enables everyone in the organization to understand both the technical and business context for their data.

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IBM Journey to AI blog

DECEMBER 19, 2023

However, fraud detection solutions do not rely solely on transactions previously labeled as fraud; they can also make assumptions based on user behavior, including current location, log-in device and other factors that require unlabeled data. These tools make it possible to quickly identify anomalies, helping prevent and remediate issues.

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Precisely

OCTOBER 16, 2023

Big data analytics, IoT, AI, and machine learning are revolutionizing the way businesses create value and competitive advantage. BI platforms and data warehouses have been replaced by modern data lakes and cloud analytics solutions.

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