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AI is becoming standard in CX; execution is becoming the differentiator. The competitive gap is shifting from who has the most AI features to who can connect intelligence across customer context, enterprise systems and workflows to resolve outcomes end to end.

The Twimbit AI-CX Vendor Landscape 2026 therefore evaluates vendors across both AI capability and innovation and market execution and adoption, revealing who can turn AI from impressive technology into scalable enterprise impact.

AI-CX Vendor Landscape 2026

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Managed access to Chinese frontier AI models is reshaping enterprise AI strategy. The arrival of Moonshot AI’s Kimi K3 on Amazon Bedrock signals a shift in how large organizations approach AI model selection, procurement, and governance. Enterprises can now leverage advanced, open-weight Chinese AI through familiar AWS APIs, billing, and security frameworks, reducing operational friction and enabling new options for cost management and deployment flexibility.Kimi K3’s integration with Amazon Bedrock introduces prompt caching and supports multi-model architectures, allowing organizations to distribute workloads between open-weight and proprietary models based on cost, complexity, and business needs. This development prompts a re-examination of AI infrastructure, balancing performance, cost efficiency, and governance across diverse use cases.Key considerations for CIOs, CFOs, and CISOs include model provenance, licensing, regulatory compliance, and data residency—especially as regional availability and legal obligations differ across the United States, Europe, and Asia Pacific. The managed environment provides strong infrastructure-level security, but enterprises must still evaluate the governance of Chinese-origin models before adoption.<ul><li>Explores managed deployment options for open-weight AI on AWS</li><li>Assesses security, compliance, and procurement implications</li><li>Compares regional constraints and opportunities for global enterprises</li></ul><blockquote>How will the availability of Chinese frontier AI models like Kimi K3 on Amazon Bedrock change enterprise AI procurement and governance strategies?</blockquote>

The Managed Front Door to Chinese Frontier AI: What Kimi K3 on Amazon Bedrock Means for Enterprise Buyers

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Asia Pacific telecom operators delivered a mixed set of results in the second quarter of 2024, as emerging markets continued to expand on the back of 4G and 5G adoption while more mature, competitive markets faced pricing pressure and declining handset sales. Revenue, EBITDA, capital expenditure and average revenue per user (ARPU) trends are tracked across 49 leading operators, spanning markets from the Philippines, India, Indonesia and Pakistan to Singapore, Australia, Japan and Taiwan.
Operators such as DITO, Jazz, Ufone, Far EasTone, VEON Kazakhstan and India's leading carriers are navigating subscriber growth, network coverage expansion and post-paid tariff strategies, while telcos in more saturated markets like Singapore and Hong Kong grapple with intensifying competition and softer device sales. CAPEX intensity is shifting too, as 4G and 5G rollouts mature in some markets even as others continue to invest heavily in AI computing platforms, fibre broadband and 5G expansion.
Beyond the financial metrics, the quarter's key strategic partnerships, new digital service launches, and technology contract wins across cloud, AI and network modernization round out the picture, offering a comprehensive view of where the region's telecom investment priorities are heading.
<ul>
<li>Benchmarks revenue, EBITDA, CAPEX intensity and ARPU across 49 APAC telcos</li>
<li>Covers emerging market growth stories alongside mature market pricing pressure</li>
</ul>
<blockquote>Which APAC telecom markets are converting network investment into durable revenue growth fastest in 2024?</blockquote>

APAC telcos performance benchmarks- Summer 2024 (Q2 2024)

Average revenue growth for leading global telcos slowed from ~4.7% in Q2-2023 to ~3.8% in Q2-2024

Average EBITDA margin for the leading global telcos stabilised at ~39% in Q2-2024

Average CAPEX intensity declined to 14.1% in Q2-2024 as compared to 16.4% in Q2-2023, as 4G/5G network deployment of leading telcos reaches completion

ARPU stabilizes with ~55% of telcos reporting YoY growth in Q2-2024

Key strategic partnerships and alliances: Q2-2024

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AI compute and chips are undergoing rapid transformation as enterprises shift from a focus on peak training performance to a more nuanced approach that weighs workload requirements, utilisation economics, and infrastructure flexibility. The landscape now extends beyond general-purpose GPUs to include hyperscaler-designed silicon, specialised processors, and regionally controlled architectures. This evolution is driven by growing demand for inference, AI agents, real-time applications, and distributed deployment models, all of which are reshaping how compute is sourced and deployed.Key considerations now include not only processing power, but also cost per workload, energy efficiency, software compatibility, supply resilience, and long-term adaptability. Enterprises must evaluate chip architectures and suppliers across technical, financial, strategic, and operational dimensions, with an increasing emphasis on matching infrastructure to specific application needs rather than standardising on a single chip type.<ul><li>Coverage of general-purpose GPUs, custom cloud silicon, inference specialists, and regional AI chip providers</li><li>Analysis of workload-driven procurement strategies for AI infrastructure</li><li>Examination of supplier risk, software lock-in, and multi-chip strategies</li></ul>For CIOs and technology leaders, the central question is no longer which chip is the fastest, but which combination of compute, software, and supplier ecosystem best supports evolving business and AI workload requirements.<blockquote>How are enterprise AI infrastructure decisions shifting from performance-led to workload-led strategies, and what forces are redefining the AI chip market?</blockquote>

AI Compute & Chips​: Trends and analysis in a fast-evolving market​

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Asia Pacific telecom operators delivered a mixed set of results in the second quarter of 2024, as emerging markets continued to expand on the back of 4G and 5G adoption while more mature, competitive markets faced pricing pressure and declining handset sales. Revenue, EBITDA, capital expenditure and

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APAC telcos performance benchmarks- Summer 2024 (Q2 2024)

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