Author: siowmeng

A Unified Network for IT and OT Delivers Efficiency and Creates Opportunity for Service Providers

by siowmeng, posted in Big Data, Cloud Enable, Secure
A professional portrait of a man with short black hair, wearing a dark blazer over a light shirt, standing in front of a blurred glass background.
S. Soh

Summary Bullets:

  • Businesses are modernizing their IT and digitizing their operations. The case of IT and OT convergence is becoming stronger, and this should extend to the underlying network infrastructure.
  • Network services providers can capture this opportunity by strengthening their professional services and focus on business outcomes.

Businesses are constantly looking for automation and efficiency to improve their speed of operations while lowering costs. Technology is a key driver. Much attention on digital transformation has been on information technology (IT), in the form of migrating workloads to the cloud for agility, leveraging data analytics for business insights, and using artificial intelligence (AI) and machine learning (ML) for automation.

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DXC Helps Enterprises Scale AI with AdvisoryX

by siowmeng, posted in Big Data, Cloud Enable, Communicate, Secure
S. Soh

Summary Bullets:

  • DXC has created AdvisoryX, a global advisory and consulting group to help enterprises scale their AI deployment and create business values.
  • Besides leveraging AI to drive innovation with customers, DXC is also adopting AI internally to gain productivity and embedding AI into its services.

DXC has made significant progress expanding its AI capability throughout 2025. The company recently launched AdvisoryX, a global advisory and consulting group designed to help enterprises address their most complex strategic, operational, and technology challenges. This is a positive move that can help enterprises accelerate their AI journey and achieve better outcomes. While enterprises are eager to implement AI, most of them do not have a well-thought-out strategy and operating model, or the necessary expertise to deploy AI successfully. What happens typically is departments working on siloed projects, without organization-wide collaboration, resulting in inefficiencies and governance issues. DXC’s AdvisoryX helps to overcome key challenges from getting started to the full lifecycle management.

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Boomi Enables Agentic Transformation by Connecting Applications, Data, and AI Agents Through a Single Platform

by siowmeng, posted in Big Data, Cloud Enable, Communicate, Secure
S. Soh

Summary Bullets:

  • Boomi has developed a platform to help connect systems, manage data, and deploy AI agents more effectively.
  • Boomi is expanding its customer base and partner base in Asia-Pacific; adding global systems integrators will help to drive penetration in the large enterprise segment.

Boomi highlighted at its Boomi World Tour event in Sydney (Australia) that without connectivity, context, and control, there will be no business impact. This epitomizes the challenge for businesses as they continue to pursue agentic transformation, especially with the recent focus on various AI technologies to drive new operating and business models. As enterprises shift their focus toward agentic AI, they often look at the tasks they can automate with AI agents.

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Amdocs Helps Telcos Succeed in Transformation by Combining AI, Telco-Centric Platforms, and Services Focused on Experience

by siowmeng, posted in Cloud Enable, Communicate
S. Soh

Summary Bullets:

  • Telecom companies are facing many challenges moving beyond their legacy business and adopting digital solutions including AI to drive business transformation.
  • Amdocs is helping telcos to drive transformation with AI and its consulting-led services play a key role to accelerate the process from customer engagement to backend operations.

Telecommunications companies (telcos) are in various stages of transforming their businesses. The industry as a whole faces several challenges that have hindered progress.

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Twilio Drives CX with Trust, Simple, and Smart

by siowmeng, posted in Big Data, Cloud Enable, Communicate, Secure
S. Soh

Summary Bullets:

  • The combination of omni-channel capability, effective data management, and AI will drive better customer experience.
  • As Twilio’s business evolves from CPaaS to customer experience, the company focuses its product development on themes around trust, simple, and smart.

The ability to provide superior customer experience (CX) helps a business gain customer loyalty and a strong competitive advantage. Many enterprises are looking to AI including generative AI (GenAI) and agentic AI to further boost CX by enabling faster resolution and personalized experiences.

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Technology Leaders Can Leverage TBM to Play a More Strategic Role in Aligning Tech Spend with Business Values

by siowmeng, posted in Big Data, Cloud Enable, IT Leader
S. Soh

Summary Bullets:

  • Organizations are spending more on technology across business functions, and it is imperative for them to understand and optimize their tech spending through technology business management (TBM).
  • IBM is a key TBM vendor helping organizations to drive their IT strategy more effectively; it is making moves to extend the solution to more customers and partners.

Every company is a tech company. While this is a cliché, especially in the tech industry, it is becoming real in the era of data and AI. For some time, businesses have been gathering data and analyzing them for insights to improve processes and develop new business models. By feeding data into AI engines, enterprises accelerate transformation by automating processes and reducing human intervention. The result is less friction in customer engagement, more agile operations, smarter decision-making, and faster time to market. This is, at least on paper, the promises of AI.

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Google Cloud Brings Customers to Its Summit to Share Their AI Success Stories

by siowmeng, posted in Cloud Enable
S. Soh

Summary Bullets:

• Google Cloud has developed a comprehensive tech stack to help businesses embrace GenAI and agentic AI.

• There are now many examples of AI delivering commercial benefits including AI-enabled software and automation of workflow for traditional enterprises.

Google Cloud held its annual event in Sydney (Australia) recently which had a keen focus on AI and more specifically agentic AI. The event highlighted the possibilities and benefits of AI through Australian businesses that have deployed the technology commercially to improve customer experience and develop new business opportunities. While the AI models such as Google Gemini have been capturing market attention, there are many other initiatives within Google Cloud to develop capabilities to simplify the adoption of AI. The company now offers an AI-optimized technology stack, which includes the AI infrastructure, data platform, models, platforms, and AI agents and applications. This does not mean that customers are confined to Google Cloud’s tech stack. One of the key value propositions of the company has been its willingness to support hybrid and multi-cloud environments. Another is a view to work with partners on open source and decoupling architectures to avoid lock-in and pivot with new requirements in 12 to 18 months. In the case of AI, it allows businesses to connect their tools developed on Google Cloud to data and applications in other cloud environments.

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AWS Summit Sydney – Accelerating AI from Possibilities to Production

by siowmeng, posted in Big Data
S. Soh

Summary Bullets:

• At this year’s AWS Summit in Sydney, AI has moved further along from conversation around large language models (LLMs) to practical AI examples driven by agentic AI.

• AI adoption is now across start-ups, SaaS companies, service providers, and enterprises with modern tech stacks.

It is no surprise that at the AWS Summit Sydney 2025, AI is still front and center. What is different from a year ago however, is the shift in conversation from LLMs and what they can potentially achieve to more practical AI including agentic AI and how they are now being deployed across different scenarios. While AI companies continue to formulate new models and enhance their accuracy and capability, there are now more ways enterprises can extract the value from AI models for different use cases. When posed a question how enterprises should go about selecting the right AI model, an AI advisory firm explained aptly that it should depend on the problem AI is meant to solve, and the level of IQ you need for that purpose. A less sophisticated, but more economical AI model, should suffice if the purpose does not require extensive reasoning or an LLM that is capable of performing a wide range of tasks.

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Digital Sovereignty in the Age of AI

by siowmeng, posted in Big Data, Cloud Enable
S. Soh

Summary Bullets:

  • Digital sovereignty becomes even more critical due to the growing investment in AI while rising uncertainties due to geopolitical tensions.
  • Systems integrators and telecom operators should work alongside to develop sovereign AI cloud solutions.

With the pervasive use of technology in all aspects including social services and critical infrastructure, governments see the need to ensure digital sovereignty, which gives the country control over its infrastructure, data, and systems, without influence from foreign entities. This is increasingly an important consideration with the growing geopolitical tensions around the globe and the need to protect against extraterritorial laws that may compromise data sovereignty. Digital sovereignty has been driven in part by data protection regulations. With the rapid development and adoption of AI, it has become even more crucial since since sensitive data may need to be processed for training AI models.

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Digital Enterprises Need to Manage Their IT Assets More Effectively: This is Extending to GreenOps

by siowmeng, posted in Cloud Enable, IT Leader
S. Soh

Summary Bullets:

  • While there are many vendors offering observability, AI, and FinOps solutions, GreenOps can become another key pillar driven by mandatory regulatory compliance.
  • As enterprise businesses become more digitized, they need a more efficient approach and tools to manage the technology sprawl.

After years of digital transformation, enterprises are finding themselves reliant on technology to ensure smooth operations, from internal functions to customer engagement and supply chain management. Many enterprises across various industries will consider themselves as a technology company. While there are certainly business benefits, enterprises are also finding themselves operating an increasingly complex technology environment. This involves the use of cloud, including containers and microservices, multitude of applications, and the APIs weaving across applications and systems, as well as a wide variety of end points such as connected devices/machines. This complexity makes it harder for effective IT management and having a greater visibility across the entire digital environment.

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