AI Articles and Analysis about Document processing

final-updated-Approaching Life Sciences and Retail Challenges from a Data Perspective – with Alberto Rizolli of V7

Approaching Life Sciences and Retail Challenges from a Data Perspective – with Alberto Rizzoli of V7

Problems in different industries can look quite similar when looked at from the perspective of data. Though diverse business problems originate from distinct domains and needs, they often share a common thread and solution. 

AI at athenahealth@2x

Artificial Intelligence at athenahealth

Athenahealth is a private healthcare company specializing in providing network-powered health services and point-of-care mobile apps. The company’s products and services are designed primarily to enhance patient care, improve operational efficiency and streamline administrative processes.

AI at Takeda@1x-min

Artificial Intelligence at Takeda Pharmaceuticals

Takeda Pharmaceuticals is a 240-year-old, leading biopharmaceutical company headquartered in Tokyo, Japan, with a global hub in Cambridge, Massachusetts. The company has a global presence, operating in more than 80 countries across North America, Europe and Asia.

AI at State Farm@1x-min

Artificial Intelligence at State Farm

State Farm is a large insurance company headquartered in Bloomington, Illinois. Its main lines of business include property and casualty insurance, as well as auto insurance. The company is the leading auto and home insurer in the United States.

Introducing GenAI Tools in the Enterprise – with Bhaskar Kalita of Quantiphi@2x

Introducing GenAI Tools in the Enterprise – with Bhaskar Kalita of Quantiphi

The introduction of GenAI tools in the enterprise signifies a significant shift in how businesses operate in the current technological landscape. These tools enhance various aspects of daily operations, from data analysis to decision-making processes. 

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.