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RPA and AI In Action: Business Automation Redefined

Amzur

In today’s hyper-competitive landscape, streamlining operations and maximizing efficiency are paramount for CIOs. This is where automation comes in, offering a powerful way to elevate your business. However, choosing between RPA and AI can be challenging, as each has unique strengths for different business processes.

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Generative AI as a catalyst for change in the telecommunications industry

IBM Services

AI-enhanced network optimization could benefit CSPs in a multitude of ways: not only can it add to a company’s competitive advantage by enhancing service for customers, but it can also help manage operating costs by addressing the strain on resources and helping CSPs and NEPs alike to avoid over-or under-provisioning resources.

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Unexpected IT Services Examples That Will Surprise You

Magellan Solutions

Predictive Analytics for Inventory Management Imagine a world where you never have to worry about running out of stock or overstocking your shelves. That’s precisely what predictive analytics can do for your inventory management. That’s the beauty of robotic process automation (RPA).

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What Is Hyperautomation?

Automation Anywhere

A top trend Gartner has listed hyperautomation as one of the top strategic technology trends for 2020 and 2021 , predicting it will play a significant role in the years ahead to help lower organizations’ operating costs. How does hyperautomation differ from other types of automation, in particular intelligent automation?

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The Resilience of the BPO Industry During Economic Crisis

NoonDalton

KPOs and Technological Influence: A New Age in Outsourcing The industry didn’t stop at simple outsourcing services; it transitioned into Knowledge Process Outsourcing (KPO), delivering value-added, domain-specific expertise in areas like legal services, healthcare consulting, and financial analysis.

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What is low-code app development? We break it down for you

Hyland

This capability, combined with concepts like robotic process automation , machine learning and artificial intelligence , can help improve processes across your organization, allowing you to: See optimized process and data management. Reporting and analytics. Anticipate the needs of users and customers.

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Down-to-Earth Reasons for Banks to Go for Cloud and Cloud Automation

Automation Anywhere

2) Decrease TCO Cloud computing can help financial institutions reduce the total cost of ownership (TCO) without the need to make infrastructure purchases of hardware, software, and upgrades, as well as save on the time and money required for maintenance. Data sets can be combined in one place.

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