AI Articles and Analysis about Data management

Explore articles and reports related to artificial intelligence for data management, including applications in data auditing, knowledge management, data collection, and more.

Big Data Analytics in EcOmmerce - Data Platforms and Artificial Intelligence

Big Data Analytics in eCommerce – Data Platforms and Artificial Intelligence

Digitally-native eCommerce businesses are used to working with their customer data in order to write copy for marketing campaigns, run PPC ads, calculate customer lifetime value, and make decisions based on core metrics within CRM dashboards.

Big Data in Banking - AI and Data Management Use-Cases

Big Data in Banking – AI and Data Management Use-Cases

Banks are in one of the best positions for leveraging AI in the coming years because the largest banks have massive volumes of historical data on customers and transactions that can be fed into machine learning algorithms. We recently completed our Emerj AI in Banking Vendor Scorecard and Capability Map in which we explored which AI capabilities banks were taking advantage of the most and which they might be able to leverage in the future.

Big Data in the Military - Intelligence Gathering and AI

Big Data in the Military – Preparing for AI

Large volumes of data, managed properly, are a boon for many industries, including the military. It would not be possible to mount effective military operations without knowing the when, where, and what in deploying resources. Military big data, therefore, helps defense leaders make better decisions, provided it is not “dark data.”

AI Integration Challenges - Pitfalls to AI Adoption

AI Integration Challenges – Pitfalls to AI Adoption in the Enterprise (Part 2 of 3)

In this second installment of the "Pitfalls to AI Adoption in the Enterprise" series, we're going to talk about underestimating the integration needs of artificial intelligence and machine learning.

Why Executives Should Keep Up with AI Trends in Business

Why Executives Should Keep Up with AI Trends in Business

I hope that by the end of this episode of the AI in Industry podcast, you'll not only be able to hire better data scientists who will be a fit for your business problems and build better data science teams, but also pick the AI applications and use cases that you should bring into your business versus those that you shouldn't.

AutoML and How AI Could Become More Accessible to Businesses

AutoML and How AI Could Become More Accessible to Businesses

In the last year, interest in so-called “autoML” has risen greatly in part due to its promise of bringing artificial intelligence to businesses that have been blocked from accessing it due to its serious time, talent, and budget requirements. Although machine learning may still be widely unavailable to small businesses, medium-sized businesses may find that autoML allows them to make use of it in the coming years.

Big Data in Pharma and Life Sciences - AI and Data Management

Big Data in Pharma and Life Sciences – AI and Data Management

We've spoken to many leaders in healthcare and pharma over the last half a decade, and when it comes to AI, the most pressing challenge that healthcare and pharma leaders report is that they're unsure of how to streamline and structure their data in a way that lets them build machine learning models. Healthcare companies are stuck in the data consolidation phase of their potential AI initiatives while vendor after vendor is trying to sell them on a new application that the company might not even be close to ready for.

Data Management Challenges in the Healthcare Industry

Overcoming Data Challenges for AI in the Healthcare Industry

Episode Summary: There's a lot of venture money pouring into artificial intelligence in healthcare. From pharma to hospitals and beyond, the potential applications in healthcare are promising. 

Data management

Explore articles and reports related to artificial intelligence for data management, including applications in data auditing, knowledge management, data collection, and more.