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.

Managing Model Development@2x-1-min

The Value of Topic Search in Detecting Signals with ROI – with Ben Webster of NLP Logix

In the era of big data, companies need help navigating through an overwhelming volume of unstructured data to uncover meaningful insights. The topic search process presents unique challenges in deciphering data signals and identifying critical information before problems escalate.

001 – Overcoming Cultural Challenges of AI Adoption in Defense – with Shannon Clark of Palantir-min

Overcoming Cultural Challenges of AI Adoption in Defense – with Shannon Clark of Palantir

AI adoption poses several challenges for organizations, including the need for specialized skills and expertise, integration with legacy systems, data quality and accessibility, and the ethical implications of AI.

002 – What Artificial Intelligence Means for Retail – with Asha Sharma of Instacart

What Artificial Intelligence Means for Retail – with Asha Sharma of Instacart

The COVID-19 pandemic fundamentally changed how consumers shop, driving more consumers than ever to transact online with traditionally brick-and-mortar retailers. While these economic forces have affected all retail, perhaps none was more profoundly disrupted than the grocery sector.

Managing Model Development@2x-min

Managing Model Development – with Katie Bakewell of NLP Logix

As a business practice, model development aims to create a dataset, tailored through machine learning, that can accurately predict outcomes or classify data based on input variables. By following a structured approach, developers can ensure that the model development process is efficient, effective, and reproducible.

001 – Market Surveillance and AI – Two Use Cases-min

Market Surveillance and AI – Two Use Cases

Market surveillance refers to activity authorities conduct to ensure that products available to consumers adhere to applicable laws and regulations. Additionally, market surveillance in banking and finance takes a somewhat specific form.

Intelligent Automation for Enhancing RPA in Banking@2x-min

Intelligent Automation for Enhancing RPA in Banking – Two Use Cases

Critical to the definition of robotic process automation (RPA) is the notion that the tasks a 'robotic' software automates are repetitive by nature, with exceptions in rare instances. While RPA cannot independently learn from and adapt to new contexts and workflow problems, it can if the RPA system is imbued with the correct AI capabilities. 

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Bringing Intelligence to Manufacturing and Maintenance@2x-min

Bringing Intelligence to Manufacturing and Maintenance – with Peter Tu of GE Research

A paradigm shift is happening in the manufacturing industry. Advancement in big data and machine learning is changing traditional manufacturing processes into the era of intelligent manufacturing. The concept of what gets called "industry 4.0" encourages the use of smart sensors, devices, and machines – going beyond the motives of collecting data about production. 

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The Importance of Real-Time Telemetric Data in Manufacturing@2x-min

The Importance of Real-Time Telemetric Data in Manufacturing – with Remi Duquette of Maya HTT

The manufacturing industry has changed in recent years. Humans on the shop floor have always used their senses and experience to anticipate machine failure before it occurs. Now, AI can be used in conjunction with human expertise.

Data management

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