Vitria’s Blog

Telcos, service providers and enterprise IT can attest to the fact that managing complex networks generates a lot of data.

For the enterprise, the advent of new age, ultra-low latency applications and the challenging requirements of high bandwidth are increasing pressure on IT to consider new ways of managing network availability and performance.

Developing decision intelligence is critical for providing service automation for enterprises and fundamental for telcos managing massive scale 5G networks. VIA AIOps builds decision intelligence, improving operational outcomes and the highly valued user experience.

The Future of Work is a complex mix of external and internal drivers which will exert pressure on the telco to change – both immediately and into the long-term. The term means different things to different parties within the ecosystem of thinkers, consultants, and commentators on technical and strategic topics

The last five years have seen intense focus on the potential financial value of data and a variety of analytics, AI and automation deployed to mine the gold. Understanding and then accessing this value is challenging – datasets need to be clean and available, processes need to be “unbroken”, algorithms need to be fit for purpose and the organization needs to be ready to support and use new capabilities.

With the introduction of AIOps, technology organizations have a framework for bringing the fault and performance side together, across service operational units, managing the triage in a more automated way, and then directing the incident to the right automated fix technique or to the right fix team.

Given the increased complexity of networks and the overall service delivery system, meeting high performance SLAs requires the unification of operations across different domains and operational environments.

As companies migrate from private networks to cloud services, service providers are determining how to answer demands for five nines availability.  Organizations continually add more mission critical applications and services which in turn require high availability – allowing only five minutes and 15 seconds a year when applications/services will be unavailable. This demand is not a new one and only accentuated by the impact to the business…

Achieving and exceeding the customers’ expectations for service is essential for businesses as they scale and compete. If this is true for your business, you also know that the speed and reliability of the network is critical to a successful customer experience. Business leaders in general and IT executives specifically identify four areas that may jeopardize the service experience…

Analysts and practitioners agree that there is no future for ITOps or Network Ops that doesn’t include AIOps. In early 2016 Gartner coined the term – AIOps – to mean machine learning analytics technology that enhances IT operations analytics. Technically – AIOps is the acronym of “Algorithmic IT Operations” or simply stated machine learning for operations. In just five years enterprise organizations and  telecommunications company are more aware of AIOps – in fact, a few early adopters find they can’t work  without it…

Operations teams are undergoing a paradigm shift and embracing artificial intelligence, machine learning, and advanced analytics technologies to boost operations efficiency with proactive, personal, and dynamic insight. Gartner has coined the term AIOps (artificial intelligence for IT operations) to capture the spirit of these changes…

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The emergence of fintech and neo-banks has increased the level of innovation across the financial services industry. Just a few years ago, banks considered their many physical branches as a competitive advantage over neo-banks, which did not have the advantage of close contact with customers.

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