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. Plan for data quality and governance of AI models from day one.

Analytics 72

Analytics Analytics AI AI 72

Precisely

JULY 31, 2023

The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, delivers groundbreaking insights into the importance of trusted data. Let’s explore more of the report’s findings around data integrity maturity, challenges, and priorities.

Data Quality 52

Data Quality Data Governance Analytics Analytics 52

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.” Anomalous data can occur for a variety of different reasons.

DataOps 52

DataOps Data Observability ML ML 52

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. Plan for data quality and governance of AI models from day one.

Analytics 59

Analytics Analytics AI AI 59

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. Check them out below.

Data Science 96

Data Science Machine Learning Machine Learning AI 96

ODSC - Open Data Science

FEBRUARY 14, 2023

Joe Reis addresses the current economic climate in 2023 in particular. It will cover why data observability matters and the tactics you can use to address it today. It will cover why data observability matters and the tactics you can use to address it today.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

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. That approach assumes that good data quality will be self-sustaining.

Data Quality 69

Data Quality DataOps Data Silos Artificial Intelligence 69

Precisely

SEPTEMBER 14, 2023

40% of data and analytics professionals report that their organizations have decreased staff/resources as a result of economic downturn, and 37% report a decrease in budget, according to the 2023 Data Integrity Insights and Trends Report , published in partnership between Precisely and Drexel University’s LeBow College of Business.

Data Quality 52

Data Quality Data Observability Data Governance Analytics 52

Precisely

OCTOBER 12, 2023

The Need for Sustainable Compliance This swirl of macro trends has majorly impacted businesses in financial services and across industries – and the effects can be seen in data strategies. Monitoring and improving business quality rules and technical quality rules to define what “good” looks like. Intelligence.

Data Quality 64

Data Quality Data Governance ML ML 64

Precisely

MAY 16, 2024

At the 2023 Gartner IT Symposium Research Super Focus Group, only 4% say their data is AI-ready. Fuel your AI applications with trusted data to power reliable results. You’re not alone. This ensures your AI models can access a comprehensive dataset, minimizing bias and enhancing accuracy.

AI 69

AI AI AWS Data Quality 69

Precisely

OCTOBER 5, 2023

How much data is your business generating each day? While answers will vary by organization, chances are there’s one commonality: it’s more data than ever before. But what do you do with all that data? Data enrichment is essential to achieving that critical element of context.

Data Quality 69

Data Quality Analytics Analytics Database 69

Precisely

MAY 3, 2023

In this opening keynote, Josh will cover the convergence of data, the forces of external macro trends, and the power of Data Integrity to harness it for good. State of the Industry Panel The results of the 2023 Data Integrity Trends & Insights survey are in!

Data Governance 52

Data Governance AWS Data Quality Analytics 52

The MLOps Blog

AUGUST 3, 2023

Related post MLOps Landscape in 2023: Top Tools and Platforms Read more Why have a DAG within a DAG? One of the features that Hamilton has is that it has a really lightweight data quality runtime check. If you’re using tabular data, there’s Pandera. Piotr: Sounds like something with data, right?

ML 52

ML ML Data Scientist Machine Learning 52