DXC on Applications

Practical insights on developing, modernizing, testing and managing applications.

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Four questions to ask when scoping out an AI and ML use case

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While many companies are interested in applying artificial intelligence (AI) and machine learning (ML) to help their businesses transform and innovate, few have an appetite for a lengthy project or a large initial investment.  But when companies can see meaningful value in six to eight weeks, they are more likely to expand their usage of […]

How learning helps organizations build an agile workforce

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While forward-thinking companies are rapidly investing in their technology resources, they’re doing the same for their human resources. That’s because these organizations know that the workforce of the future isn’t made up solely of robots. Instead, the workforce of the future is an “augmented” one, where humans and AI work together to drive greater efficiency, […]

Five steps to a successful migration to cloud-based SaaS applications

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A digital transformation can deliver improved flexibility, faster speed-to-market and reduced costs, but only if you go about things in the right way. One path to a successful digital transformation is to move traditional applications to cloud-based software-as-a-service (SaaS) applications, a migration that requires a data-driven approach and using technology in strategic, new ways. Traditionally, […]

As artificial intelligence and machine learning mature, use cases emerge

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With most innovative technologies, at some point in the solution evolution there’s a tipping point from “this is cool” to “there are real business outcomes to gain.” We are now seeing that shift with artificial intelligence (AI) and machine learning (ML), especially in three major use case patterns: 1. Customer care When it comes to […]

Leading organizations are optimistic about the future of work. Are you?

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Forward-thinking organizations aren’t anxious about the future of work. They’re excited. Why? Because these organizations have already figured out how to thrive in the face of the skills shortage — and how to attract, engage, and retain great employees despite the war for talent. What are they doing that others aren’t? They’re becoming learning organizations. […]

The two most common questions companies ask about artificial intelligence and machine learning

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Artificial Intelligence (AI) and Machine Learning (ML) are rapidly evolving to help companies with both digital transformation and innovation. There has been a lot of hype and discussion about these topics, and, in a very short time, we have moved the conversation from “AI is cool” to “AI can drive specific business outcomes.” Experience has […]

Complexity in learning: Best practices for the future of work

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Today’s high performing organizations know that the world of learning has undergone tremendous change, and they need to put employees at the center. Employees require a lifetime of continuous learning to keep pace with change. An innovative approach to learning can help tackle the workforce skills gap, retain talent, increase performance and improve productivity. Organizations […]

How to optimize Agile delivery when your development team isn’t co-located

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Co-locating Agile development teams with the customer or business unit is optimal for collaboration and customer intimacy. However, co-location is not always feasible. Development team members could be from multiple geographic locations, the customer could also be spread across multiple locations, and economic considerations might direct some of the development to regions with lower costs. This […]

It’s time to move HR apps to the cloud

Companies that started their digital transformation journey with customer-facing applications like sales or marketing and are prioritizing their next steps, or companies just beginning to migrate legacy apps to the cloud, should put human resources (HR) at the top of the list. After all, what’s more important to the success of the business than hiring […]

IoT data: A new hope for the manufacturing industry’s future

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Manufacturing executives are under the gun to hit production targets amid challenges that include a shortage of skilled workers, inefficient supply chains and a lack of insight into how enterprise assets are performing. In order to make absolutely sure that production quotas and quality standards are met, operational technology (OT) teams tend to err on […]