IRVINE, Calif., Jan. 14, 2021 /PRNewswire/ -- Alteryx, Inc. (NYSE: AYX), a leader in analytic process automation (APA), today announced a partnership with Snowflake, the Data Cloud company, that ...

Nuqleous, a Bentonville-based retail analytics company, has acquired Interactive Edge, a software platform for retail insights and reporting automation. Garrett Levey, co-chief executive officer of ...

By replacing spreadsheet-based processes with FedRAMP-authorized automated workflows, federal agencies can gain real-time ...

Automation connects software systems to shipping execution by turning digital decisions into real-world actions. When ...

Government agencies are increasingly adopting transformative and cutting-edge technologies to stay relevant. These technologies are not just enhancing operational efficiency but also elevating service ...

[Stay on top of transportation news: Get TTNews in your inbox.] From the stand-alone dispatching software of the past to today’s complex, integrated technology platforms that leverage cloud computing, ...

LOS ANGELES--(BUSINESS WIRE)--AuditBoard, the leading cloud-based platform transforming audit, risk, and compliance management, today announced the availability of AuditBoard Automation & Analytics, a ...

Data-driven decision-making replaces guesswork across all organizational levels, giving plant operators immediate feedback, supervisors shift-based insights, and managers strategic visibility into ...

VisiQuate, a provider of healthcare revenue cycle analytics and automation, gained $50 million through a new equity investment from Sixth Street Growth. The Santa Rosa, California-based company ...

His work focuses on building architectures that combine robotic process automation (RPA), artificial intelligence (AI), and ...

Heap, a platform for digital analytics, today announced that it raised $110 million in a financing round led by Sixth Street and Goldman Sachs with participation from NewView Capital, Menlo Ventures, ...

Process manufacturing operations may be oversimplified as entailing raw materials, a production process, and finished goods. The same model can be applied to using production data to improve process ...