Across enterprises, there's an increasing recognition that data quality and integrity are essential to moving forward with data-driven efforts, especially as artificial intelligence, machine learning, ...

Additionally, the firm wrote in its research report, poor data quality and misaligned tools limit agility. And, while nearly half of middle-market companies (defined as those valued between $5 million ...

Moving to the cloud may seem, on its surface, a good way to better manage the quality and viability of data resources for enterprises. However, as data accelerates its move to the cloud, the ...

Businesses have accelerated their digital transformation initiatives, especially in the customer-facing areas of customer care, marketing, and sales. Currently, there is an overabundance of data from ...

The data purgatory hits major technology initiatives like AI projects when obstacles are created by data accuracy, quality, and accessibility. Fast Company has put a spotlight on the make-or-break ...

Data quality is crucial for any organization that relies on accurate information to make informed decisions. However, many businesses face various challenges when it comes to managing data quality ...

Quality data is at the heart of the success of enterprise artificial intelligence (AI). And accordingly, it remains the main source of challenges for companies that want to apply machine learning (ML) ...

Deepak Yadav is an Engineering Leader at Amazon, Data & ML expert, ex-Ask.com, formerly with Amdocs, and Data Influencer. Generative AI is emerging as a transformative force in data engineering, ...

Picture this: You're a business owner struggling with your competitors. Sales are decreasing, and you're not sure why. You start to pay attention to your website and social media channels, analyzing ...

After you have implemented your CRM system, how can you ensure that the data coming in is clean, correct and up-to-date? Not only that but how can you make sure it stays clean? Accurate data quality ...