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Canadian organizations outspending global peers on technology, KPMG survey shows

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While Canadian organizations have historically underspent on new technology, more than half have seen a 10 percent profit jump from investments in cybersecurity and AI

TORONTO, Oct. 24, 2024 /CNW/ – Canadian organizations are investing more in technology solutions than their global peers and seeing impressive returns on their investments, according to the 2024 KPMG Global Tech Survey

The survey of 150 C-suite technology executives and senior leaders from large organizations across Canada showed respondents are currently investing in or planning near-term investments in technologies such as AI and automation, edge computing, quantum computing, cybersecurity, Web 3, data and analytics, cloud computing and other solutions in the next year to support their growth ambitions – outspending their global peers.

“After years of relative underinvestment, Canadian organizations have done a major pivot and are now investing more in technology than their global peers – this is a significant leap forward. With more sustained investments like this, Canada’s productivity could finally see a meaningful boost,” says Stephanie Terrill, KPMG’s Canadian Managing Partner of Digital and Transformation.

Nearly nine in 10 (89 per cent) respondents said their technology investments were driven by successful pilot projects and proof-of-concept testing of various solutions. Among the most profitable technologies over the past two years were artificial intelligence, where more than half (56 per cent) of respondents saw a 10 per cent or more profit increase from their investments; cybersecurity (56 per cent) and data and analytics (53 per cent).

“Experimenting with different technologies not only gives business leaders the confidence to make further tech investments, it also helps build a culture of innovation, and innovative organizations are more productive and profitable,” Ms. Terrill says.

Canada’s productivity crisis is underpinned by chronically low business investment, and our survey clearly shows that when businesses make investments in technology, they improve their productivity and profitability. Canada can advance its competitive position in the world if more businesses commit to making sustainable, long-term investments in technology.”

AI gets and gives a boost

Over the past year, more Canadian organizations have accelerated technology implementations in data and analytics, cybersecurity and cloud computing; but the largest increase was in AI and automation (including generative AI), where nearly all (99 per cent) respondents said they had started implementing AI – a 39 per cent increase from last year.  

Nearly eight in 10 (79 per cent) said they have AI use cases that are either running, in production or being scaled across their organization, and they’re achieving a return on investment. Nearly all (93 per cent) respondents said transformation efforts involving AI and generative AI positively impacted their organization’s profitability.

“Canadian technology leaders understand why implementing AI is transformative for their organizations: nearly eight in 10 said AI is helping knowledge workers in their organization become more productive, leading to improved overall performance,” says Ven Adamov, Partner and National Leader of KPMG in Canada’s Data and Analytics Risk Services.

However, Mr. Adamov notes that among respondents that have started implementing AI, only 38 per cent are proactively progressing against their strategy, while more than half (56 per cent) are either behind schedule or being held up by investment approvals.  

“Organizations that are behind in their AI implementations need to address and remove the barriers that are holding them back. Often, AI investments are delayed because certain risks have not been addressed, or because new or unanticipated risks emerge. Implementing a trusted AI framework from the outset can help reduce the number of unexpected hurdles that pop up during the AI implementation phase. In the absence of prescriptive regulations, there are proven best practices that can be adopted for that purpose,” he adds. 

Barriers to transformation: risk aversion and fear of overspending

Despite increased investments in technologies like AI and the benefits they’re creating for Canadian organizations, nearly eight in 10 (78 per cent) respondents expressed fear of overspending on technology, 11 percentage points higher than the global average.

That fear could stem from risk aversion: more than six in 10 (63 per cent) respondents said risk aversion makes their senior leadership move more slowly than competitors in embracing new technology – seven percentage points higher than the global average.

Sanjay Pathak, Partner and National Leader of Technology Strategy and Digital Transformation Services says that with new technologies like generative AI evolving quickly, there are heightened expectations on IT leaders as well as CEOs and boards to have a deeper level of understanding about new technologies, and if business leaders feel they don’t know enough about technology, it can create a sense of nervousness, hesitation and fear of taking risks.

“Education can help quell those fears and help business leaders become more comfortable with experimenting with and embracing new technologies. The technology function can play a leading role in improving an organization’s technology literacy. Organizations that empower technology executives and give them a voice at the decision-making table are digital leaders. This goes a long way in helping the C-suite, board and workforce understand how to harness new technologies to deliver value,” Mr. Pathak says.  

Mr. Pathak recommends the following strategies for organizations to gain more value from their technology investments:

Tighter alignment between technology and business leaders and business strategyTaking inspiration from industry peers and organizations in other industriesAdopting a “learn fast/fail fast” ethos that encourages experimentation with new technologies in small, controlled use cases.

About the Global Tech Survey

KPMG International surveyed 2,450 technology leaders between May 3 and June 26, 2024.  150 respondents were from Canada, with more than half (52 per cent) identifying as members of the C-suite. 34 per cent were in the consumer and retail sector, 27 per cent in technology, 20 per cent in financial services and the rest from other industries. More than half (53 per cent) had between 1,000 to 9,999 employees, and 30 per cent had 10,000 or more employees. Almost half (47 per cent) of respondents reported annual revenues of US$50 billion to US$99.99 billion; one third reported annual revenues of US$1 billion to US$9.99 billion and 13 per cent reported annual revenues between US $10 billion to US$19.99 billion.

About KPMG in Canada
KPMG LLP, a limited liability partnership, is a full-service Audit, Tax and Advisory firm owned and operated by Canadians. For over 150 years, our professionals have provided consulting, accounting, auditing, and tax services to Canadians, inspiring confidence, empowering change, and driving innovation. Guided by our core values of Integrity, Excellence, Courage, Together, For Better, KPMG employs more than 10,000 people in over 40 locations across Canada, serving private- and public-sector clients. KPMG is consistently ranked one of Canada’s top employers and one of the best places to work in the country. 

The firm is established under the laws of Ontario and is a member of KPMG’s global organization of independent member firms affiliated with KPMG International, a private English company limited by guarantee. Each KPMG firm is a legally distinct and separate entity and describes itself as such. For more information, see kpmg.com/ca.

For media inquiries:
Roula Meditskos
National Communications and Media Relations
KPMG in Canada
(416) 549-7982
rmeditskos@kpmg.ca

SOURCE KPMG LLP

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BinBase Expands 2026 BIN Dataset with Instant Payout Intelligence for iGaming, Gambling, and Cross-Border Transfers

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BinBase updates its 2026 dataset with specialized Fast Funds, Visa Direct, and Mastercard MoneySend indicators to help iGaming operators and payout platforms execute seamless, instant card disbursements.

MIAMI, July 23, 2026 /PRNewswire-PRWeb/ — BinBase, a global provider of payment routing intelligence and card issuing data, has introduced specialized instant payout indicators as part of its upgraded 2026 BIN Database. Tailored for iGaming operators, online gambling platforms, crypto-to-fiat ramps, and payout aggregators, the updated dataset helps platform engineers streamline real-time card disbursements and Push-to-Card (P2C) transactions.

In high-velocity sectors such as online betting and gaming, instantaneous player payouts are a primary driver of customer retention. However, executing Push-to-Card transactions through protocols like Visa Direct and Mastercard MoneySend requires knowing whether the receiving card issuer supports Fast Funds for specific merchant category codes (MCCs). Attempting instant payouts on non-eligible cards leads to declined transactions, elevated processing fees, and poor user experiences.

The 2026 BinBase release solves this operational bottleneck by delivering dedicated attributes for real-time fund disbursements:

Fast Funds Eligibility: Granular indicators identifying domestic and cross-border Fast Funds support across global Visa and Mastercard ranges.Online Gambling Fast Funds (OG FF): Dedicated flags specifically identifying card ranges authorized to receive real-time gambling and betting payouts.Mastercard MoneySend & Visa Direct Indicators: Precise protocol compatibility markers (MS Ind & MT Ind) ensuring push transactions are routed only to eligible recipient cards.Direct Debit & Pull-Funds Support: Indicators for recurring collections and account-funding transactions.

“Player payouts in iGaming cannot wait for standard 2-to-3-day ACH settlements,” said a spokesperson for Damiko Inc. “By embedding our Fast Funds and Gambling FF flags into their payment engines, operators can instantly validate recipient cards before initiating a transfer, guaranteeing high success rates and instant liquidity for their users.”

Fintech engineers and payout architects can examine the full 29-field database schema and access a free 2026 sample dataset on GitHub.

To explore commercial licensing, bulk database downloads, or custom data feeds, visit BinBase at https://binbase.com.

About Damiko Inc

Damiko Inc is a US-based fintech data provider specializing in card issuer analytics, payment routing data, and global BIN database solutions. Operating through its flagship product, BinBase.com, the company supplies high-precision transaction intelligence to help merchants and payment facilitators worldwide optimize approval rates and mitigate processing fees.

Media Contact
Fedor Lavrikoff, BinBase, 1 7866133334, sales@binbase.com, www.binbase.com 

View original content:https://www.prweb.com/releases/binbase-expands-2026-bin-dataset-with-instant-payout-intelligence-for-igaming-gambling-and-cross-border-transfers-302829344.html

SOURCE BinBase

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Walnut Coding’s Young Coders Serve as ‘Instructors’ at Huawei Cloud Developer Training Camp

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Ages 8 and 15, students showcase AI-era project-building skills from concept to working application

BEIJING, July 23, 2026 /PRNewswire/ — Walnut Coding (the “Company”), a leading online platform for youth coding education, said two of its students – ages 8 and 15 – have joined the “instructor” lineup at Huawei Cloud Developer Training Camp, making them among the youngest “instructors” in the program’s history. The Company cites the pair as a prime example of how young learners can combine coding fundamentals with AI tools to turn ideas into working applications.

The two students, Bolin Du, 8, and Peiqi Gao, 15, built working applications using Huawei Cloud CodeArts, an AI coding assistant, then presented the projects to the training camp themselves – walking the audience through their design choices, technical builds, and debugging process.

The move lands at a moment when AI coding tools are forcing a rethink across the education sector. Tools that can generate functioning code from a plain-language prompt have undercut the traditional argument for teaching children to program – that they need the skill to build things themselves. Walnut Coding’s answer is that the more valuable skill now is judgment – knowing what problem to solve, breaking it into parts, and determining whether an AI’s output actually works.

Gao built a travel-planning application that generates routes, itineraries, and recommendations based on user input, handling the project end to end, from requirements and design through coding and debugging. Du, the younger of the two, built an interactive calendar application, using HTML for page structure, CSS for visual design, and JavaScript for interactive features. Both students then took on an instructor’s role at the camp, presenting their project goals and technical implementation to the audience – a step Walnut Coding says separated the work from a typical classroom assignment.

These were not classroom exercises but working projects, built and presented inside a professional developer-training environment. The experience demanded more from both students than simply producing something functional – they needed to articulate their reasoning, defend technical choices, and refine the final result under scrutiny. Their participation signals a broader shift underway in what youth coding education can deliver.

AI is making code generation easier, but it is also redrawing which skills actually matter. A student who relies only on one-click generation may get a rough prototype quickly, but still struggle to spot logical flaws, judge whether the output is reliable, or turn an abstract idea into a product that actually works. Students with programming foundations, by contrast, are better positioned to define requirements, evaluate what the AI produces, correct its errors, and treat the technology as a tool rather than a shortcut to lean on.

“AI can help children generate code faster, but it cannot decide for them what problem they should solve, nor can it make the final judgment about whether the result is truly effective,” said Pengxuan Zeng, founder and CEO of Walnut Coding. “What these two students demonstrated is not just coding technique, but the ability to define needs, break down tasks, verify outcomes, and turn an idea into a working product. That is why we believe young people still need to learn programming in the AI era.”

Walnut Coding structures its courses around that thesis, pairing student-led project work with teaching-assistant guidance and AI-assisted support. According to the Company, this data is continuously fed back into its systems to refine the personalization of AI-assisted feedback — a closed-loop process linking teaching, practice, feedback, and curriculum development.

The Company frames the payoffs less around producing professional software engineers than around a broader form of literacy. As AI continues to reshape how tasks get done, the ability to understand the technology, structure problems clearly and collaborate effectively with intelligent tools may prove one of the most durable skills a young learner can develop.

Walnut Coding says it plans to keep expanding opportunities for students to build practical projects, partner with industry technology platforms such as Huawei Cloud, and develop the core capabilities needed to build with technology in the AI era.

View original content:https://www.prnewswire.com/news-releases/walnut-codings-young-coders-serve-as-instructors-at-huawei-cloud-developer-training-camp-302833884.html

SOURCE Walnut Coding

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MOREH Showcases High-Performance LLM Inference on AMD GPUs at AMD Advancing AI 2026

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SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Moreh, an AI infrastructure software company, led by CEO Gangwon Jo, participated in AMD Advancing AI 2026, AMD’s flagship annual AI event held in San Francisco on July 22–23 (local time), where it demonstrated its distributed inference solution, the MoAI Inference Framework, running on AMD GPUs.

At the event, Moreh presented a live demonstration of the GLM-5.1 large language model (LLM) powered by the MoAI Inference Framework on a system equipped with 32 AMD Instinct™ MI300X GPUs across four nodes. Visitors experienced the chatbot firsthand, evaluating its response speed and service quality while observing performance across a range of real-world use cases.

Unlike conventional demonstrations that simply run an AI model, Moreh’s showcase displayed key inference service metrics in real time, including GPU utilization, Tokens Per Second (TPS), Time To First Token (TTFT), and Time Per Output Token (TPOT). This enabled attendees to directly verify both inference performance and GPU resource efficiency in a production-like service environment.

Global AI industry leaders and enterprise customers attending the event expressed strong interest in the system’s fast response times and stable performance. In particular, the live deployment of the computationally demanding GLM-5.1 model on AMD GPUs at production-grade service levels received positive feedback from visitors.

Moreh’s MoAI Inference Framework is widely recognized as the world’s first commercially deployed distributed inference solution built for the AMD ecosystem. Its distributed inference and heterogeneous computing technologies are designed to dramatically reduce AI service costs, enabling broader adoption of AI worldwide. The technology addresses one of the industry’s biggest challenges-the rapidly rising infrastructure and service costs caused by increasingly larger AI models-by delivering a more efficient inference infrastructure.

Moreh CEO Gangwon Jo stated, “This event provided an opportunity for global customers to verify firsthand that top-tier inference performance can be achieved on AMD GPU environments,” and added “We will continue advancing our AI infrastructure software so enterprises can operate AI services as efficiently as possible, regardless of the underlying GPU platform.”

Moreh develops its own AI infrastructure engine and has expanded its end-to-end AI capabilities through its foundation LLM subsidiary, Motif Technologies, covering both AI infrastructure and foundation models. The company is also strengthening its presence in the global AI market through strategic partnerships with leading technology companies, including AMD and Tenstorrent.

View original content to download multimedia:https://www.prnewswire.com/news-releases/moreh-showcases-high-performance-llm-inference-on-amd-gpus-at-amd-advancing-ai-2026-302833887.html

SOURCE Moreh

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