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CLIENT STORIES
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Liantis
Over time, Liantis – an established HR company in Belgium – had built up data islands and isolated solutions as part of their legacy system.
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Randstad
We ensured that Randstad’s migration to Genesys Cloud CX had no impact on availability, ensuring an exceptional user experience for clients and talent.
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CLIENT STORIES
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Liantis
Over time, Liantis – an established HR company in Belgium – had built up data islands and isolated solutions as part of their legacy system.
-
Randstad
We ensured that Randstad’s migration to Genesys Cloud CX had no impact on availability, ensuring an exceptional user experience for clients and talent.
-
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CLIENT STORIES
-
Liantis
Over time, Liantis – an established HR company in Belgium – had built up data islands and isolated solutions as part of their legacy system.
-
Randstad
We ensured that Randstad’s migration to Genesys Cloud CX had no impact on availability, ensuring an exceptional user experience for clients and talent.
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Everest Group PEAK Matrix® Assessment
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Topics in this article
Rapid technological change has put just about every organization on a path of digital transformation. However, across industries, a big challenge is making the leap from aging infrastructure to a future-forward ecosystem that supports business growth in a way that is collaborative, cohesive and secure.
Autonomous platform-delivered network operations can achieve strategic transformation quickly, simply and at scale.
Yet, how do you select the right partner in a market saturated with providers and solutions? How do you invest in or develop the skills needed to update your network internally? And how can you monitor and enhance the user experience while shepherding the smooth and comprehensive transformation of your infrastructure?
The answer is an outsourced, outcomes-based solution that targets the infrastructure and software layers.
This is why NTT DATA follows a two-pronged approach to transformation in infrastructure. Your network is only as good as your foundation, so our Automated Infrastructure Services (AIS) focus on the infrastructure layer with a network fabric that connects the cloud, data centers and hybrid IT operations.
Next, our Sentient Platform for Network Transformation (SPEKTRA) derives insights from the top IT and data layer, using AIOps, predictive analytics and automation to enhance efficiency, security, performance, monitoring and more.
Let’s look at the specific ways these AI-led tools are transforming infrastructure services.
1. Predictive maintenance
No organization can afford network downtime. AI-based predictive maintenance can isolate anomalies and analyze which areas of an IT ecosystem are at risk – months in advance. This allows potential network issues to be addressed before they happen.
The insights we derive from network data also allow us to understand greater network trends.
2. Network optimization
The optimization of a network involves multiple factors. We worked with a client recently and took our signature holistic approach to optimizing their network efficiency.
The client had been experiencing challenges with manual processes, monitoring their network and deploying new features and applications. We deployed AIS and SPEKTRA to provide end-to-end visibility, application and tool management and bandwidth usage management – all in one easy-to-access location. This simplified deployment for the client and improved the performance of their business-critical applications.
3. Threat detection
Our solutions are designed to protect your data from any intrusion. Importantly, they’re underpinned by an understanding of how to process and safeguard data between users and applications – and the skills to do so.
Take the case of a client that needed an affordable security solution which would give them clarity on resources, processes and key security details. Our solution provided automated security policies and management on a single platform, allowing the client to see and secure their entire network at a rate they could afford.
4. AI-enabled incident management
AI-driven incident monitoring and management reduces the number of incidents by up to 90%, remediates threats to the network in the shortest possible time and provides early warning of potential network failures.
Our AI and analytics-driven usage and capacity planning improves your network health through better visibility and observability.
5. Application performance and experience management
With the power of AI, your applications are more than technical tools. They are part of a symbiotic ecosystem that is continually learning and improving.
We ensure our applications perform optimally for both our clients and their users. Through AIS and SPEKTRA, we knit together the software and infrastructure components of the network through an automated, programmable mechanism that is fast and efficient.
Our AI-powered, data-led approach then continually monitors and enhances user experience.
Although this is a comprehensive approach, it is quick to implement. Through automation and orchestration, AIS and SPEKTRA can be installed and active faster than you might expect.
It’s time to change the legacy
Legacy systems and processes seldom make use of network automation. So, adding new sites, making changes to systems or scaling bandwidth is done manually – resulting in higher costs and slower delivery.
Also, the limited interoperability of technology domains means software changes are made without understanding how these changes affect the network, and internal resources may lack the skills to make network changes in such a complex environment. The result is a siloed approach rather than a focus on the entire network fabric.
We deliver an efficient, secure, integrated and application-centric network that works across the entire environment – on-premises, in the cloud and in data centers – and requires little to no human intervention.