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.

Bridging the Data Science Gap – Why Subject-Matter Experts Matter

Bridging the Data Science Gap – Why Subject-Matter Experts Matter

Episode Summary: For business leaders who are thinking about integrating AI into their company or who are just in the very beginning of that journey, this may be a useful episode of the podcast.

Machine Learning for Finance in the United Kingdom - Current Applications

Machine Learning for Finance in the United Kingdom – Current Applications

We previously covered the top machine learning applications in finance, and in this report, we dive deeper and focus on finance companies using and offering AI-based solutions in the United Kingdom. The UK government released a report showing that 6.5% of the UK's total economic output in 2017 was from the financial services sector. As of now, numerous companies claim to assist financial industry professionals in aspects of their roles from portfolio management to trades.

Data Collection and Enhancement Strategies for AI Initiatives in Business

Data Collection and Enhancement Strategies for AI Initiatives in Business

There’s more to successful AI adoption than picking the right technology. Business leaders should be aware of the technical requirements of the initiative they’re undertaking, and few of those requirements are as important as data.

Predictive Analytics in Healthcare - Current Applications and Trends

Predictive Analytics in Healthcare – Current Applications and Trends

The healthcare domain seems ripe for disruption by way of artificial intelligence in the form of predictive analytics. Accenture estimates the AI in healthcare market will reach $6.6 billion by 2021.

AI in Blockchain - Current Applications and Trends

AI in Blockchain – Current Applications and Trends

Today, two highly discussed disruptive technologies are artificial intelligence and blockchain. In this piece, we aim to highlight projects where AI and blockchain might be used together to support the B2B environment.

How Existing Businesses Should Organize Their Data Assets for AI 1

How Existing Businesses Should Organize Their Data Assets for AI

Episode Summary: Companies with wells of data at their disposal may find themselves asking how they can use them in meaningful ways. Generally speaking, a clean set of data is the foundation for AI applications, but business owners may not know how exactly to organize their data in a way that allows them to best leverage AI. How exactly does a business transition from having data with the potential for usefulness to having data that’s going to allow for an accurate, helpful machine learning tool—one that can actually help solve business problems?

Achieving Intelligent Automation - Leveraging IoT Data from Automated Systems

Achieving Intelligent Automation – Leveraging IoT Data from Automated Systems

In this episode of AI in Industry, we speak with Brendan Kohler, the CTO of Co-founder of Boston-based startup Sentenai. Brendan speaks about how businesses today can effectively leverage the data being collected by their existing IoT and automation systems. Though example applications and use-cases, Brendan elaborates on what kinds businesses might use this technology today and what they can expect in the near future.

The Fundamentals of Data Literacy and Data Management Preparing for AI in Enterprise

The Fundamentals of Data Literacy and Data Management Preparing for AI in Enterprise

Implementing artificial intelligence into an existing business is about more than algorithms. In fact, many AI researchers believe that algorithms are the easiest part of an artificial intelligence implementation.

Data management

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