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Accenture, Google Team Up to Boost AI and Cloud Adoption in Saudi Arabia

Accenture and Google Cloud are collaborating to accelerate the adoption of cloud solutions and generative AI in Saudi Arabia. The goal is to help businesses improve operations, create new opportunities, and enhance customer experiences while ensuring data security and compliance.

A recent study by the Saudi Data and Artificial Intelligence Authority (SDAIA) and Accenture indicates that generative AI could boost Saudi Arabia’s GDP by 4%.

To support this growth, Accenture and Google Cloud are expanding their generative AI centre of excellence to Saudi Arabia. This will help businesses develop AI-powered solutions using Google Cloud’s technology and Accenture’s expertise.

“Being ready for continuous reinvention hinges on a modern digital core to rapidly seize every opportunity,” stated Majid Altuwaijri, Accenture’s Saudi Arabia chair and country managing director.

The partnership also aims to help companies like the General Organisation for Social Insurance (GOSI) leverage generative AI. GOSI has already used cloud technology to create a secure, scalable AI environment where its developers and researchers can experiment with the latest AI tools.

“Organisations need the combination of leading technology and services expertise to successfully deploy generative AI,” stated Bader Almadi, general manager of Google Cloud in Saudi Arabia. “With Google Cloud’s advanced capabilities and Accenture’s industry expertise, end-people will have access to the resources needed to plan, deploy and optimise generative AI projects.”.

Beyond technology, Accenture and Google Cloud are committed to developing local talent. To help professionals gain skills in cloud computing and AI, they plan to offer training programs, hackathons, and hands-on labs.

Accenture’s LearnVantage platform will provide upskilling programs, specialised academies, and certifications to support Saudi Arabia’s digital workforce.

The collaboration comes at a time when businesses in Saudi Arabia are eager to embrace digital transformation.

By combining AI, cloud technology, and local expertise, Accenture and Google Cloud aim to drive innovation and ensure data security through Google’s Dammam cloud region.

Meanwhile, Australian telecommunications business Telstra and Accenture also presented plans for a joint venture (JV). This is aimed at accelerating Telstra’s data and AI strategy to enhance network leadership and improve customer experiences.

While the JV will develop specialised AI tools to optimise business processes and enhance workforce efficiency, Telstra’s data and AI teams in Australia and India will be offered roles in the JV, with training to advance AI fluency and critical skills.

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Snowflake expands AI tools with Anthropic partnership—what it means for businesses

Snowflake and Anthropic unveiled a major partnership today to embed AI agents directly into corporate data environments, empowering businesses to analyze vast amounts of information while maintaining strict security controls.

The companies will integrate Anthropic’s Claude [website] Sonnet model into Snowflake’s new Cortex Agents platform, allowing organizations to deploy AI systems that can analyze both structured database information and unstructured content like documents within their existing security frameworks.

“We believe that AI agents will soon be essential to the enterprise workforce,” noted Baris Gultekin, Head of AI at Snowflake, during a media roundtable. “They’ll enhance the productivity for many teams such as customer support analytics, engineering, and they’ll free up employee time to focus on higher value things.”.

Snowflake strengthens AI capabilities with Anthropic’s Claude [website].

The partnership addresses a crucial challenge in enterprise AI adoption — deploying powerful AI models securely at scale. Claude will run entirely within Snowflake’s security boundary, eliminating concerns about sending sensitive data to external AI services.

“Running Claude within Snowflake’s security perimeter allows consumers to build and deploy AI applications while keeping their data governed,” unveiled Mike Krieger, Anthropic’s Chief Product Officer, during the press conference.

Early results show promise. Snowflake reports 90% accuracy on complex text-to-SQL tasks in internal benchmarks, significantly outperforming previous approaches. Siemens Energy has already built an AI chatbot analyzing over half a million pages of internal documents, while Nissan North America achieved 97% accuracy in analyzing customer sentiment about dealer experiences.

How Snowflake is using AI to automate business data analysis.

Cortex Agents, the platform at the heart of the announcement, orchestrates complex data tasks across both structured databases and unstructured content. The system combines two key components: Cortex Analyst, which converts natural language into accurate database queries, and Cortex Search, a hybrid search system that Snowflake states outperforms competitors by at least 11% on standard benchmarks.

“Having such a state of the art model available to Snowflake customers contributes to the ease of use experience,” stated Christian Kleinerman, EVP of Product at Snowflake. “Instead of which model to use, and how many prompts I need to go push to get something to behave the way I want it, or answer the question I need… it is phenomenal.”.

Snowflake’s Cortex Agents promise smarter, faster enterprise AI.

The partnership signals a shift in enterprise AI strategy. Companies now seek to integrate AI directly into existing data infrastructure rather than treating it as separate technology.

“Nobody is looking for just a token vendor that exchanges input tokens for output tokens,” Krieger explained. “They’re looking for somebody who will help them craft their AI strategy do so in a way that’s aligned with their values, and also that they trust to remain on the frontier.”.

The platform includes comprehensive monitoring capabilities and maintains existing access controls and compliance requirements — crucial elements as AI regulation evolves.

“Some amount of regulatory clarity would be helpful,” noted Kleinerman during the announcement. “But I think it’s on all of us, especially research labs that understand in next level detail that we’re involved to help inform how that regulation is formed.”.

Why Snowflake’s AI strategy focuses on security and governance.

The partnership offers technical decision makers a potential path to deploy AI at scale while maintaining security and governance. Success will likely depend on careful implementation and clear use cases that deliver measurable business value.

For enterprises grappling with growing data volumes and complexity, the ability to deploy AI safely and effectively could become a crucial competitive advantage. The platform’s combination of advanced AI capabilities with robust security controls indicates a future where intelligent agents become an integral part of corporate operations.

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Cerebras-Perplexity deal targets $100B search market with ultra-fast AI

Cerebras Systems and Perplexity AI are joining forces to challenge the dominance of conventional search engines, announcing a partnership that promises to deliver near-instantaneous AI-powered search results at speeds previously thought impossible.

The collaboration, showcased in an , centers on Perplexity’s new Sonar model, which runs on Cerebras’s specialized AI chips at 1,200 tokens per second — making it one of the fastest AI search systems available. Built on Meta’s Llama [website] 70B foundation, Sonar represents a significant bet that customers will embrace AI-first search experiences if they’re fast enough.

“Our partnership with Cerebras has been instrumental in bringing Sonar to life,” Denis Yarats, Perplexity’s CTO, presented in a statement. “Cerebras’s cutting-edge AI inference infrastructure has enabled us to achieve unprecedented speeds and efficiency.”.

AI search just got faster — and big tech should pay attention.

The timing is notable, coming just days after Cerebras made headlines with its DeepSeek implementation, which demonstrated speeds 57 times faster than traditional GPU-based solutions. The corporation appears to be leveraging this momentum to establish itself as the go-to provider for high-speed AI inference.

’s internal testing, Sonar outperforms both GPT-4o mini and Claude [website] Haiku “by a substantial margin” in user satisfaction metrics, while matching or exceeding more expensive models like Claude [website] Sonnet. The business’s evaluations show Sonar achieving factuality scores of [website] out of 100, compared to [website] for GPT-4o and [website] for Claude [website] Sonnet.

Specialized hardware: The new battleground for AI companies.

The partnership reflects a growing trend of AI companies seeking competitive advantages through specialized hardware. Cerebras CEO Andrew Feldman in the recent past argued that such technological advances expand rather than contract the market. “Every time compute has been made less expensive, they [public market investors] have systematically assumed that made the market smaller,” Feldman told ZDNET in a recent interview. “And in every single instance, over 50 years, it’s made the market bigger.”.

Industry analysts suggest this alliance could pressure traditional search providers and other AI companies to reconsider their hardware strategies. The ability to deliver near-instant results could prove particularly compelling for enterprise customers, where speed and accuracy directly impact productivity.

Market impact: Can specialized chips reshape enterprise search?

However, questions remain about the scalability and cost-effectiveness of specialized AI chips compared to traditional GPU-based solutions. While Cerebras has demonstrated impressive speed advantages, the corporation faces the challenge of convincing end-customers that the performance benefits justify potential premium pricing.

The partnership also highlights the increasingly competitive landscape in AI search, where companies are racing to differentiate themselves through speed and accuracy rather than just raw model size. For Perplexity, which has been gaining attention as an AI-native alternative to traditional search engines, the Cerebras partnership could help establish it as a serious contender in the enterprise search market.

Perplexity plans to make Sonar available to Pro clients initially, with broader availability coming soon. The companies did not disclose the financial terms of their partnership.

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