Home News Anthony Goonetilleke, Group President, Technology & Head of Strategy at Amdocs – Interview Series

Anthony Goonetilleke, Group President, Technology & Head of Strategy at Amdocs – Interview Series

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Anthony Goonetilleke, Group President, Technology & Head of Strategy at Amdocs – Interview Series

Anthony Goonetilleke is group president, technology and head of strategy at Amdocs. He and the company strategy team are chargeable for formulating the strategy of the corporate, in addition to developing and executing on long-term growth plans aligned with the corporate’s purpose and vision. Anthony also head’s the corporate’s product and technology groups, chargeable for creating industry leading cloud platforms that meet rapidly evolving market needs, scale efficiently and supply immediate business advantages to service providers and their customers.

Amdocs is a provider of software and managed services for communications, media, and entertainment service providers.

What initially attracted you to computer science?

My Dad bought me a Sinclair ZX81 once I was a little bit kid (it had 1K of memory… that’s right, 1K!), and it was something we bonded over. It was my first foray into writing code, and customarily getting enthusiastic about creating things. That began my path into computers and all things technology. My Dad’s background was also engineering – that actually didn’t hurt!

You were an lively developer throughout the early Linux community in the course of the Nineties, what were you working on at Linux and what were a few of your key takeaways from this experience?

I used to be introduced to Linux by one among my college professors, and it completely expanded my mind to where software can go when it’s open and folks can contribute. I feel I ‘got’ the model of ‘open source’ early on, and that influenced lots of my considering on technology strategy. I worked on Samba, a Linux connectivity protocol, and that got me began down the enterprise software path. Really, it happened at a dynamic time, as the web was starting to return to life in a widescale way within the education sector, after which into business avenues.

You began your profession with Amdocs in 1999, and also you were instrumental in constructing the primary managed services outsourced data center for a Telstra subsidiary, what were among the challenges on the time behind this?

While you’re constructing data centers, infrastructure and applications all at the identical time – while attempting to ensure it’s mission-critical and highly available – on emerging hardware and software, it becomes a fun and interesting challenge. Getting every thing to work in harmony is one among the one largest challenges, especially once we were essentially constructing a home-grown cloud in our own data center.

Because the Group President of Technology and Head of Strategy at Amdocs, are you able to share some details on what this role entails and what your average day looks like?

Sure, because the Group President of Technology, I’m chargeable for our R&D organization, product and offerings, ensuring that our hundreds of engineers, architects, and developers create the industry’s best products. With my other hat because the Head of Strategy, I’m chargeable for ensuring that we’re consistently looking forward, staying ahead of the trends, and finding latest growth opportunities for Amdocs and its customers.

You latterly oversaw the corporate’s recent launch of Amdocs amAIz, a Generative AI Framework for the Telecom industry. Why is that this tool a gamechanger for the telecom industry?

Generative AI is here, but just as importantly, it’s here to remain. The technology has huge potential to create more agile organizations because it is embedded in day by day processes starting from back-office options to end-user experiences. amAIz is a critical framework for our industry, because it simplifies the necessities for our customers to adopt generative AI of their businesses. By leveraging the most effective of the industry’s evolving foundational LLMs, and overlaying a strong vertical taxonomy, and pre-configured ‘use case kits,’ our customers simply need to decide on what generative AI capability they’d like, and we deal with the entire essential underlying technology integration, training and governance.

What are among the challenges behind Generative AI hallucinations and the way is Amdocs addressing this to cut back or mitigate these?

Hallucinations stem from the way in which statistics are utilized in the implementation of the algorithms. At its core, generative AI uses data to predict responses based on vector models. The info used to coach the models is huge, however the concept is sort of easy. That said, generative shouldn’t be human and it might probably’t exercise judgment. As an alternative, it predicts ‘probably’ results based on statistical modeling, and it sometimes creates responses that aren’t accurate. The challenge that each user of generative AI faces is managing the training and ‘guardrails’ within the deployment of generative AI models to reduce the hallucinations, or the likelihood that it is going to hallucinate. Amdocs is developing a strong governance layer that addresses challenges around hallucinations, data bias and other complexities of emerging generative AI technology.

One other recent announcement was the launch of Next generation version of Amdocs Cloud Management Platform which leverages the amAIz GenAI framework for automating your entire lifecycle of IT and is built to speed up service providers’ journey to cloud, utilizing DevOps and FinOps. Could you share some details on among the machine learning that’s used and more details on this tool?

The Amdocs Cloud Management Platform helps our customers operate complex cloud footprints efficiently and easily. Not only did we embed hundreds of telco-specific processes and code elements within the platform to speed up development and optimize operations, but we’re also enhancing the platform with generative AI capabilities to be sure that business processes are repeatedly and dynamically updated. As with many types of traditional AI, machine learning continues to play a crucial role in the continued improvement of many features of the cloud lifecycle, particularly because it pertains to application and infrastructure operations.

Cloud computing costs are a difficulty for telecom firms, how does Amdocs assist in keeping these costs lower than traditional cloud computing?

There are two essential components to our approach to optimizing cloud costs. The primary part is designing and executing cloud strategies that best fit the needs of our customers. This includes ensuring alignment with their budget, scalability needs, etc. The second is optimizing the operations, particularly through the usage of automation and FinOps. FinOps, which is a crucial function of our cloud management platform, ensures that service providers can clearly see all of their cloud activities across providers and infrastructure, helps them adjust policies reduce costs, and proactively recommends changes that might be made to raised match resource consumption with customer demands.

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