ARM Cement in Sh 6.5 Billion loss

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ARM Cement in Sh 6.5 Billion loss

Special Correspondent - June 2, 2018

ARM’s net losses widened 2.3 times to Sh6.5 billion in the year ended December on the back of lower sales and thinner profit margins. The...

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Azentio Software (www.Azentio.com) , a leading technology enabler in the BFSI space, announced the launch of Azentio Loan Origination, its next-generation product that redefines how financial institutions scale credit operations across retail, SME, and corporate segments, and supports both conventional and Islamic financing. According to Deloitte (http://apo-opa.co/46lKYvA), today’s lending market demands speed, personalization, and easy digital access. Azentio Loan Origination enables banks and financial institutions to onboard customers quickly, make accurate credit decisions, and provide a seamless borrower experience, all while staying compliant with evolving regulations. Reimagining speed and personalization in lending With Azentio Loan Origination, lenders can launch new products up to 70% faster. Built-in compliance for each region shortens time-to-market from months to weeks. This enables lenders to avoid delays, accelerate innovation, and identify new growth opportunities. Smarter credit decisions for precision and efficiency Azentio’s new loan origination offering streamlines every step of credit decisioning with automation at its core. Its policy-driven framework seamlessly integrates with KYC, AML, and credit bureau systems to reduce approval delays and minimize manual errors. Pre-configured integrations and dynamic workflows make onboarding faster and simpler, helping banks lower drop-offs and improve decision accuracy. With compliance built in for both conventional and Islamic finance, lenders can grow without regulatory risk. Future-ready architecture for scalable growth Azentio Loan Origination is cloud-ready, scalable, and integrates easily with existing technology stacks, enabling financial institutions to expand into new regions. Its open framework ensures resilience, adapts to regulatory change, and supports new capabilities such as advanced analytics and alternative data without causing significant disruptions. “Banks are under pressure to deliver seamless digital experiences while navigating tougher regulatory landscapes,” said Guru L, Senior Vice President, Lending – Product Management, Azentio. “Azentio Loan Origination brings speed, intelligence, and compliance together in a single offering, enabling financial institutions to innovate and scale. With this launch, we are equipping the industry not just to keep pace with change, but to lead it.”

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Financial infrastructure firm, Tala, has launched a tokenized lending platform to cater to borrowers without a banking history in the world. It plans to deploy $50 million credit facility via the platform in USDC to power blockchain-enabled, permission-less lending for millions of global customers. The Artificial Intelligence (AI) underwritten consumer lending tool, in partnership with Huma Finance, is the first of its kind in Kenya and is powered by Solana and supported by USDC liquidity facilitated by the Huma Protocol For billions of consumers who lack access to traditional banking services and credit history systems, tokenized lending offers faster and more reliable access to credit, better rates through a global capital network, and a portable, digital reputation that enables broader participation in the global economy. Tala’s existing customer base of nearly 13 million across multiple emerging markets creates immediate scale for blockchain adoption. "After a decade operating across multiple emerging markets, we know how to translate frontier technologies into real-world financial power," said Shivani Siroya, founder and CEO, Tala. "By pairing Tala’s trusted platform with the power of blockchain technology, together with Huma and Solana, we can expand financial access, eliminate systemic inefficiencies, and help millions become active participants in the global digital economy.” The solution is powered by Tala’s proprietary credit engine, which has been trained on $7 billion in lending performance data across multiple continents. That dataset—largely invisible to banks and most AI systems—gives Tala the ability to evaluate borrowers who have historically been overlooked by the global financial system. By tokenizing these loans in an overcollateralized lending facility and connecting them to Huma’s liquidity pools, Tala unlocks a new funding mechanism for emerging market credit, bringing global capital directly to high-demand markets transparently and efficiently. Speaking during the launch, Erbil Karaman, Co-Founder of Huma Finance, said that Tala’s team has over a decade of experience in scaling high-performance lending programmes while providing financial access to tens of millions of people who need it the most.

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Kenya’s cloud and artificial intelligence boom may be entering its most consequential phase yet, as new data suggests local consultancies, AI startups and systems integrators stand to earn dramatically more from Amazon Web Services (AWS) than previously understood. A study by US-based research firm Omdia reveals that AWS partners worldwide can now generate “up to a $7.13 (Sh900) multiplier for every $1 (Sh130) of AWS sold,” a figure with enormous implications for East Africa’s technology ecosystem. The report, titled "Partner Ecosystem Multiplier: The AWS Opportunity 2025," was released on the sidelines of the AWS: Re-Invent event in Las Vegas, Nevada, which kicked off on December 1 and ends on December 5. It reached this conclusion after Omdia conducted in-depth interviews with 35 AWS partners across various geographies and partner types. The report’s central argument is blunt: in a region where businesses are hungry for automation, resilient infrastructure, and AI-powered customer engagement, the biggest revenue doesn’t come from selling cloud technology itself. Instead, it comes from the advisory, design, build, adoption, and managed services wrapped around it, the same areas where Kenyan firms have sought to differentiate themselves. “In the new era of AI, Omdia has forecasted a services opportunity tied to generative and agentic AI of $267 billion by 2030,” the research notes, positioning partners as the engines of this expansion. With Kenya’s financial institutions, telcos, and public agencies accelerating cloud migrations, the findings sharpen the conversation about who will capture the next decade of revenue. Kenyan companies already recognize the shift. For years, Kenya’s cloud market has revolved around foundational migrations: moving banks off aging data centres, helping enterprises modernize digital infrastructure, or building customer-facing platforms with elasticity and scale. But companies across Nairobi’s tech districts, from Westlands to Upper Hill to Ngong Road, are now repositioning their services for an AI-first world. The Omdia numbers help make the business case. The report states bluntly that 82 per cent of AWS partners are now delivering some form of AI as part of their transformation delivery, a seismic shift that mirrors Kenya’s adoption pattern: AI chatbots in banking, machine learning in fraud detection, recommender engines in e-commerce, and predictive analytics in agriculture and logistics. “Amazon Web Services (AWS) continues to be the market-leading provider of public cloud infrastructure in terms of market share. For customers to unlock the full opportunities of AI in their public cloud environments, they lean on a wide variety of services and expertise from their technology providers, specifically the partners within the AWS Partner Network.”

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Tag: ARM

ARM Cement in Sh 6.5 Billion loss

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