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NCS launches enterprise AI platforms and products; deepens partnerships to accelerate AI-driven business transformation

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Expands Sunshine.AI suite to introduce sovereign-ready AI foundational and physical AI platforms, as well as agentic assistant capabilities Strengthens partnerships across industries including healthcare, transport, and education, to scale AI deploymentAdvances specialist talent to help organisations put AI to work on enterprise-scale transformation across their operationsLaunches a practitioner’s playbook, drawing from 100+ AI projects to guide clients on getting measurable returns from their AI investments

SINGAPORE, July 9, 2026 /PRNewswire/ — NCS today announced an expanded Sunshine.AI suite of sovereign, enterprise-grade AI platforms and products, formed new sector-specific partnerships, and committed to training next-generation AI talent. Together, these enable organisations to move from AI experimentation to enterprise-scale transformation with the speed, security, and governance they need. The initiatives were unveiled at its annual technology forum, NCS AI Impact 2026.

NCS CEO Sam Liew said, “The real opportunity isn’t incremental improvement. It’s redesigning core operations for exponential outcomes. To deploy AI at scale, organisations need the right partners: those who combine deep industry expertise with enterprise-grade, sovereign platforms built for real-world governance and security. They also need a strong ecosystem behind them. As an AI-led tech services company, this is exactly what we have built NCS to do. As Singapore advances its national AI agenda, we are committed to helping our clients turn that ambition into real, measurable outcomes.”

To enable enterprise-wide AI transformation, NCS brings together platforms, products, specialist talent, industry partnerships, and practical implementation experience. As a result, clients can put AI to work better, faster, and safer, with security and governance built in from the start.

Enterprise-ready platforms and products to put AI into production

For organisations that need to deploy AI within their own environments while maintaining full data control, NCS’ expanded Sunshine.AI suite provides sovereign, enterprise-grade AI with safety, governance, and compliance built in from day one. Built by practitioners for practitioners, the multi-model and multi-modal portfolio spans an AI foundational platform to Physical AI. This includes:

Sunshine.core: the AI foundational platform to build and operate production-grade AI agents. Its library of reusable, mix-and-match components means teams do not need to rebuild common infrastructure.Sunshine.builder: an AI-powered application that lets business analysts build software applications without writing code, translating business requirements into working systems, allowing users to define what they need, analyse how it will work, validate that it meets their requirements, and deploy solutions.Sunshine.chilliclaw: an enterprise-ready AI assistant that embeds agentic intelligence directly into the software employees already use – from productivity suites to business systems such as ERP.Sunshine.commanderAI: a Physical AI platform that connects AI with real-world robotics, it acts as a single command centre for multi-vendor robot fleets, with safety and security controls built for deployment at scale.  NCS also launched RAMP (Robot and AI in-Motion Programme), a by-invitation sandbox where NCS, AWS Generative AI Innovation Centre (GenAIIC), Dell Technologies, and NVIDIA collaborate to build client solutions across Public Safety, Smart Buildings, and Physical Operations.Sunshine.guardian: NCS’ AI safety and assurance engine for agentic AI in production. It follows a simple cycle: watch each agent closely, test it by simulating real attacks, and fix any issues automatically. Along the way, it produces audit-ready records that meet trusted standards.

NCS has also upgraded its proven tools with agentic AI capabilities: Sunshine.coder, which has lifted developer productivity and quality by 15%; Sunshine.operations, which has cut IT incident escalations by 40%; Sunshine.productivity, which saves employees over two hours a week. These upgrades are complemented by Sunshine.kaisense, NCS’ advanced video AI platform for real-time monitoring and analysis.

Sector and technology partnerships

NCS is deploying AI in sectors where it must prove it works under real-world constraints – including healthcare, transport, and education. From helping patients recover faster, to closing learning gaps for students and freeing clinicians from routine work, these partnerships combine the sector’s domain knowledge with NCS’ technology expertise. These demonstrate how AI can deliver measurable outcomes in high-stakes regulated environments, beyond controlled pilots.

Healthcare:  NCS signed a Memorandum of Understanding with IHH Healthcare to establish a Joint AI Centre of Excellence. This Centre will co-develop and deploy AI solutions across IHH’s multinational network to enhance clinical excellence, operational efficiency, and cost management.With NHG Health, NCS is deploying agentic AI across pilot areas such as biometric identification, digital pathology, and HR transformation to streamline operations, strengthen clinical workflows, and improve patient outcomes.
 Education:With Ngee Ann Polytechnic, NCS is deploying an AI Tutor that closes individual learning gaps. In a recent pilot, adult learners reported a positive impact. NCS is also embedding its Sunshine.coder tool into the institution’s ICT curriculum to build a pipeline of AI-native talent.

Transport:With South Korea’s Autonomous A2Z, NCS is building an autonomous shuttle service for its employees, integrating the ROii vehicle with NCS’ RobotManager platform to create an operational blueprint for future client projects.

Enterprise AI:NCS is partnering with Alibaba Cloud, a leading global provider of AI infrastructure and the intelligence backbone of Alibaba Group, to accelerate the adoption of enterprise AI solutions for diverse sectors across the region. By combining Alibaba Cloud, as well as Qwen’s AI platforms and foundation models with NCS’ expertise in AI governance, security, systems integration, and implementation, the partnership enables organisations to adopt AI securely while optimising performance, scalability, and cost efficiency.

Physical AI and Healthtech: NCS is expanding into Physical AI and human-centric care through exoskeleton technology and integrated healthcare solutions, working with:Fourier Rehab, a global leader in rehabilitation technology, to deploy medical exoskeletons to accelerate patient recovery.Hypershell, the world’s leading consumer exoskeleton brand, to advance all-terrain exoskeletons that extend mobility beyond the hospital, into daily life and demanding work environments.iMedWay, a leading healthcare IT solutions provider, to deliver comprehensive digital solutions to achieve data-driven efficiency and better patient outcomes.LinkDoc, to bring AI-driven clinical trials and regulatory innovation to healthcare clients across Asia Pacific, strengthening NCS’ healthcare technology offerings. LinkDoc is a healthcare AI technology company transforming clinical trials through data and advanced AI to accelerate research for drugs and medical devices, advancing innovation across the life sciences industry.

Today’s announcements add to the growing ecosystem of best-in-class technology partners NCS has built throughout the year. These include AI leader Mistral AI, data platform pioneer VAST Data, humanoid robotics specialist AGIBOT, and enterprise AI deployment company Lian Xin. Together, they give NCS and its clients access to a comprehensive range of technologies from across the global AI landscape.

Talent and skills partnerships

Scaling AI requires leaders who can combine their deep domain expertise with AI fluency. In support of Singapore’s National AI Strategy 2.0, NCS is building this combination from early-career professionals to C-suite leaders to develop AI talent at every career stage.

For Senior Leaders: NCS is partnering with leading institutions – Singapore University of Technology and Design (SUTD), NUS School of Continuing and Lifelong Education (SCALE), Shanghai Jiao Tong University (SJTU), represented by SJTU Asia-Pacific Graduate Institute, and AI Singapore (AISG), to develop and deliver a range of Applied AI masterclasses. Designed for senior executives, the curriculum addresses the practical challenges of deploying AI at scale, featuring role-specific courses such as AI Economics for finance leaders and AI Governance for risk leaders.For Specialist AI Talent: NCS has partnered with Digital Industry Singapore (DISG) to accelerate its AI transformation and sharpen its competitive edge. Through targeted workforce development, NCS will hire more than 130 AI practitioners over three years, building advanced and differentiated AI capabilities in its AI Central team, as well as specialised expertise in its sectoral teams for Singapore’s connectivity sector. 

A practitioner’s guide to ’10X’ AI returns

NCS today also released the NCS AI Playbook – a practitioner-led blueprint distilled from more than 100 AI projects. It is organised around two questions every enterprise must answer: “Are we doing the right things, and are we doing things right?”

Key points include:

The 3R Framework reframes AI from cost-cutting to value creation: Return on Customer, Return on Employee, and Return on Future.The Five U’s of Failed AI name the root causes of stalled programmes: Unclear cost, Unchanged business processes, Unready data, Ungoverned agent development, and Unknown security and safety risks.The Four Execution Pillars – Cheaper, Better, Faster and Safer – operationalise AI with rigour.Cheaper token strategy and model selection: Every task consumes tokens, and costs compound when left unmanaged. Treating tokens as a managed cost on the balance sheet, monitored and controlled rather than left to run, and matching each task to the right-sized model instead of defaulting to the priciest frontier model, cuts costs by up to 82% and speeds up responses by three to ten times.Better AI-ready data and workflow redesign: AI is only as reliable as the data behind it, so grounding AI in clean, well-governed data sharply reduces the errors and hallucinations that erode trust and create business and legal risk. The biggest gains then come not from bolting AI onto legacy processes, but from reimagining the workflow itself, targeting the right use cases first.Faster NCS AI accelerators: Rebuilding components that already exist elsewhere wastes a substantial share of project effort. NCS’ reusable, pre-tested building blocks cut this out, so teams build once and deploy many times.Safer built-in assurance: As AI begins to act and not just advise, it becomes both a target and a potential threat actor. Safety guardrails and AI-against-AI cyber defence, applied from day one, protect against a fast-evolving threat landscape.

Applied together, these pillars unlock the highest returns, moving enterprises away from low, short-term ROI towards long-term transformative growth. The platforms, partnerships, and talent programmes launched today put these practices into action.

Underpinning these initiatives is a new operating structure that brings sector expertise closer to clients. NCS has reorganised into 10 industry-specific Operating Groups, supported by two Service Organisations: Applications and Communications Engineering (ACE) for AI-agent-led delivery, and Digital Resilience (DR) for secure and resilient operations. This structure is anchored by the newly created AI Central team, which drives strategy, accelerates innovation, and ensures the safe and responsible adoption of AI across the organisation.

About NCS 
NCS is a leading AI tech services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.

Media Contacts

NCS

 Burson

Adeline Sim

adeline.sim@ncs.com.sg   

 BursonforNCS@bursonglobal.com

 

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Asia Poised to Play Bigger Role in Physical AI as Investors Eye Manufacturing, Data

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SAN FRANCISCO, Oct. 27, 2026 /PRNewswire/ — Asia’s semiconductor expertise, manufacturing infrastructure and industrial supply chains could give the region a significant role in the development of Physical artificial intelligence (Physical AI), as investors look beyond software to the challenges of deploying intelligent machines in real-world environments.

Speaking at the recently concluded Silicon to Scale: A Physical AI Summit during SF Tech Week, venture capital investors highlighted opportunities for Taiwan, Japan and Southeast Asia as robotics companies move from prototypes toward commercial deployment.

Co-hosted by Startup Island TAIWAN Silicon Valley Hub and SparkLabs Taiwan, also part of SparkLabs Taiwan’s US Landing Program, the summit drew more than 170 investors, industry leaders and founders, and featured five Taiwanese Physical AI startups: Morale AI, MetAI, Jmem Tek, Neuroshine and APMIC.

The Venture Dialogue, ‘What Makes Physical AI Investable?’, was moderated by Bernard Moon, Co-Founder and Managing Partner of SparkLabs Group, with Jeff Tao, Director of AI Infrastructure at Citi; Dr. Vandon Duong, Principal at DCVC; and Kosuke Yusa, GP and Head of Investment at Open Network Lab Fund, DG Incubation, Inc.

Before the venture dialogue, the summit opened with a Corporate Dialogue, ‘From Concept to Production: Physical AI at Scale,’ moderated by James Lim of NVIDIA’s Venture Capital Strategy & Partnerships team. Panelists Austin Tseng, President of Delta Electronics (Americas); Vince Fong, Co-Founder and CEO of Highrise AI; and Daniel Yu, Co-Founder and CEO of MetAI, discussed what it takes to move Physical AI from simulation to real-world deployment, from closing the sim-to-real gap to the compute, edge and energy infrastructure needed to scale.

“Taiwan’s semiconductor and manufacturing strengths are well known in Silicon Valley, and investors here are increasingly keen to partner with Asian strategic investors as Physical AI moves from prototype to production,” said Edgar Chiu, Founding Managing Partner of SparkLabs Taiwan. “Our mission is to be that bridge, bringing Taiwanese founders to US customers and capital, and connecting US companies with Taiwan’s supply chain and strategic investors.”

For Taiwan, the shift could create opportunities to leverage its strengths in semiconductors, electronics and advanced manufacturing, according to Uly Su, director and head of Startup Island TAIWAN Silicon Valley Hub.

Su said the hub is organizing a series of industry dialogues and investor gatherings to connect Taiwanese startups with Silicon Valley’s technology and investment communities. The initiatives aim to help founders identify commercial opportunities, build international partnerships and strengthen Taiwan’s position in the emerging Physical AI industry.

Asia’s manufacturing advantage

Jeff Tao, Director, AI Infrastructure at Citi said Asia’s established semiconductor and electronics supply chains could provide a foundation for the growth of Physical AI, particularly as companies seek to diversify production amid geopolitical uncertainty.

He pointed to semiconductor assembly and testing operations in Southeast Asia, including Malaysia, as examples of existing manufacturing capabilities that could support emerging technologies.

Taiwan, meanwhile, occupies an important position in the global semiconductor industry, providing expertise and manufacturing infrastructure relevant to the development of AI-powered robotics.

Tao said Physical AI companies could benefit from combining Asia’s manufacturing strengths with access to the United States, where high labor costs are creating opportunities for industrial automation.

Kosuke Yusa, GP & Head of Investment, Open Network Lab Fund, DG Incubation, Inc.said Japan offers a different advantage: industrial environments that demand flexibility and continuous improvement.

Japanese production lines frequently change, requiring robotics systems that can adapt to different tasks and operating conditions, he said.

The missing piece: Real-world data

Despite Asia’s manufacturing capabilities, investors identified access to training data as a major obstacle to the commercialization of Physical AI.

Unlike large language models, which can draw on extensive digital information, robotics systems require specialized datasets collected from factories, production lines and other physical environments.

Tao said collecting such information is particularly difficult because manufacturers are reluctant to share proprietary operational data.

Dr. Vandon Duong Principal at DCVC (Data Collective Venture Capital) said AI developers are willing to pay substantial amounts for diverse, well-annotated datasets, creating opportunities for startups specializing in data collection.

However, he questioned how companies could build lasting competitive advantages as more businesses enter the market.

Computing costs and investment opportunities

The panel also discussed rising AI infrastructure spending and the constraints it creates for emerging companies.

Tao said electricity availability has become an increasingly important bottleneck for AI infrastructure development in the United States, following earlier constraints involving GPUs and data centers.

He identified opportunities for startups developing more efficient power systems, cooling technologies and semiconductor manufacturing processes.

Duong said investors are also examining technologies that reduce inference costs and improve computing efficiency.

From Taiwan to Silicon Valley

The discussion underscored the potential for Asian Physical AI startups to combine regional manufacturing capabilities with American capital, customers and technology markets.

Investors said founders must understand the requirements of industrial customers, particularly when developing systems for manufacturing environments where reliability and adaptability are critical.

While panelists acknowledged concerns about AI valuations and infrastructure costs, they remained optimistic about long-term adoption.

Tao also cautioned that productivity gains from AI could create short-term labor displacement, raising broader questions about how the economic benefits of automation will be distributed.

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S&P Global Reports Third Quarter Results; Announces Strategic Review for Capital IQ and Associated Data Businesses

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NEW YORK, Oct. 27, 2026 /PRNewswire/ — S&P Global (NYSE: SPGI) today reported third quarter results. The Company’s earnings release and supplemental materials are available at http://investor.spglobal.com/Quarterly-Earnings. 

Supplemental Information/Conference Call/Webcast Details: The Company’s senior management will review the third quarter 2026 earnings results on a conference call scheduled for today, October 27, at 8:30 a.m. EDT. Additional information presented on the conference call, and the Company’s supplemental slide content may be found on the Company’s Investor Relations Website at http://investor.spglobal.com/Quarterly-Earnings. 

The Webcast will be available live and in replay at http://investor.spglobal.com/Quarterly-Earnings. 

About S&P Global
S&P Global (NYSE: SPGI) enables businesses, governments, and individuals with trusted data, expertise and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive in a rapidly changing global landscape.

From helping our customers assess new investments across the capital and commodities markets to navigating the energy expansion, acceleration of artificial intelligence, and evolution of public and private markets, we enable the world’s leading organizations to unlock opportunities, solve challenges, and plan for tomorrow – today. Learn more at www.spglobal.com.

Investor Relations: http://investor.spglobal.com 

Contact:

Investor Relations:
Mark Grant
Senior Vice President, Investor Relations and Treasurer
Tel: +1 (347) 640-1521
mark.grant@spglobal.com 

Media:
Christina Twomey
Chief Communications Officer
Tel: +1 (646) 407-3001
christina.twomey@spglobal.com 

 

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Common Thread Advisors launches to help organizations untangle complex change

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Co-founded by five industry leaders with a legacy of delivering growth and transformation

NEW YORK, Oct. 27, 2026 /PRNewswire/ — Common Thread Advisors (Common Thread), a new independent consultancy, launched today to move organizations from strategic intent to commercial impact. Common Thread guides organizations through transformation and change by closing the gap between leadership strategy and human behavior—so change stops being something teams recover from and starts being something they build on.

Common Thread was co-founded and is being led by five industry leaders with decades of senior in-house and consultancy-side experience across business strategy, change management, digital and AI-enabled transformation, strategic communications and social investment. The team brings deep lived experience, having led its former consultancy firm KYNE through a multi-year, global integration and private equity-driven transformation. All five co-founders are Partners, with Wendy Woods-Williams serving as Managing Partner and David Kyne as Executive Chair.

Wendy Woods-Williams — Managing PartnerMaureen Byrne — Partner, Client Experience & GrowthMichael Grela — Partner, Operations & ImpactDavid Kyne — Partner, Executive ChairJulie O’Donnell — Partner, Strategy & Innovation

Organizations and their leaders are facing increasingly complex internal and external pressures and a rapidly evolving environment, requiring near-constant transformation to support innovation and growth. At the same time, technology and change often move faster than teams can absorb and cultures can evolve, causing the majority of transformations to ultimately fail in practice.

“One of the most important performance drivers in transformation strategy is whether the people who must deliver the change are not just briefed or trained, but truly with you. When organizations don’t fully invest in the human side of change, the result is often stalled adoption, lost productivity and strategies that never fully land, impacting the bottom line,” said Wendy Woods-Williams, Co-Founder and Managing Partner, Common Thread. “We built Common Thread to do things differently. Our team is senior from day one and 100% focused on change by design, allowing us to stay close to the work while being credible in the boardroom. We partner with clients to identify critical business drivers and develop approaches around them, helping organizations move through and benefit from change, faster.”

“After years moving in different directions, what felt like gravity pulled this team back together with a collective desire to create a new kind of firm—one that draws on our common experience navigating change and meets a growing need across industries and geographies,” said David Kyne, Co-Founder and Executive Chair, Common Thread. “We work with clients to identify and act on the common threads that connect teams and cultures, impacting their ability to achieve their goals and reach their commercial potential. We connect intent with execution and proof.”

Common Thread’s offering is built on decades of established change management, human behavior and communications research and models, and includes several interconnected service areas:

Transformation and Change: Change is only successful when people truly understand it, trust it, and know what to do differently. Common Thread makes sure strategies land by building belief in the approach, the plan, and the people leading it.Leadership and Culture: Engaged and productive teams require trust in leadership and a set of values and a culture that live beyond the handbook. Common Thread helps protect and build leadership trust and shape the culture teams and strategies need to deliver.Social Performance and Impact: Societal value and impact are important business indicators but can be difficult to track. Common Thread helps prioritize and connect commitments to measures that impact reputation and the bottom line.

Common Thread’s unique approach is centered around four key conditions shaping change—clarity, agency, capacity and trust—helping quickly identify what matters most and prioritize efforts with the greatest impact. From friction and trust mapping to strategic leadership engagement, listening tours and manager sprints, Common Thread provides a comprehensive suite of transformation and change-related offerings, built to address each client’s specific needs. Clients often engage Common Thread during leadership transitions, business transformations, growth periods, mergers, acquisitions, restructurings, AI integrations and the rollout of new operating models and policies.

Common Thread works as an extension of client teams, operating inside live programs, close to the real decisions and trade-offs that determine whether change happens. Measurement is built into every engagement, connecting human factors to business outcomes and creating a consistent evidence base for ongoing improvement.

About Common Thread Advisors
Common Thread Advisors (Common Thread) is an independent consultancy that helps turn strategic intent into commercial impact. Too often, strategy sits apart from the people responsible for bringing it to life. Common Thread ensures transformation lands by bridging the gap between strategy and human behavior. We get people engaged, leaders empowered and strategies delivered in practice—so organizations can move through and benefit from change, faster. Across transformation and change, leadership and culture, and social performance and impact, we connect intent with execution and proof. That’s complex change, untangled.

Common Thread is values- and purpose-driven. We’re committed to being a good corporate citizen and a best place to work by operating at the highest ethical standards, working with clients who share our philosophy and values and donating a percentage of future annual profits to causes impacting our communities.

To learn more, visit LinkedIn, Instagram and www.CommonThreadAdvisors.com. 

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