AI Articles and Reports 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.

Data Challenges in the Defense Sector

Data Challenges in the Defense Sector

Episode Summary: This week, we're going to be talking about the defense sector. We interview Ryan Welsh, CEO of Kyndi, a company working on explainable AI. We focus specifically on the unique data challenges of the defense industry, as well as the general use case of AI in defense writ large. Many of the challenges that the defense sector has to deal with transfer to other spaces and sectors. Business leaders that deal with extremely disjointed text information, what is sometimes called "dark data," and information in various languages or different dialects, will be able to resonate with some of the unique challenges talked about in this episode, and maybe even gain some insights for how to handle them.

Document Search and Data Mining in Insurance - Claims Processing, Fraud Detection, and Data Management

Document Search and Data Mining in Insurance – Claims Processing, Fraud Detection, and Data Management

This article was originally written as part of an in-depth AI report sponsored by Iron Mountain, and was written, edited and published in alignment with our transparent Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Thought Leadership Services page.

Big Data in Finance - Current Applications and Trends

Big Data in Finance – Current Applications and Trends

International Data Corporation (IDC) reported in their  Worldwide Semiannual Big Data and Analytics Spending Guide that global investment in big data and business analytics (BDA) will grow from $130.1 billion in 2016 to more than $203 billion in 2020. In a previous report, we covered machine learning in the finance sector, and in this report, we dive deeper into big data solutions and data management platforms for financial institutions. The companies in this report all claim to help financial institutions with at least one of the following:

Artificial Intelligence in Government 950×540

AI in Government – Current AI Projects in the Public Sector

Government interest in AI has picked up in recent years, and many government officials are starting to ask the same questions business executives were asking two or three years ago. Governments and large NGOs are starting to invest in AI, spending budget and time on pilot programs for various AI applications and discussions with people in the field on the future implications of the technology.

Crowdsourced Natural Language or Speech Training - Use Cases and Explanation

Crowdsourced Natural Language or Speech Training – Use Cases and Explanation

When it comes to planning an AI initiative, a business will need to determine the method by which to acquire the data necessary to meet their objectives. Data is essential when it comes to succeeding with AI. An effective AI strategy is built on top of data that is specific to the business problem a company is trying to solve.

Big Data in Retail - Current Applications

Big Data in Retail – Current Applications

Modern AI and machine learning software require large sets of data in order to train its algorithms to make judgments, make predictions, and take actions. Data is a critical part of bringing artificial intelligence to life in different industry sectors. The applications we’ve highlighted below involve organizing historical and real-time data from existing businesses in the retail sector from which data scientists can build machine learning models.

Data management

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