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AI's Role in Transforming Banking and Fraud Detection in Saudi Arabia
Tech News, Global Digital Transformation, Thought Leadership and Current Trends
It’s Monday!
This Monday, we explore how AI is revolutionizing the banking sector in Saudi Arabia and leading the charge against fraud. We also look closer at Ginkgo's Model API, which is paving the way for AI-driven innovation in biological engineering. Additionally, we discuss the implications of the US tech ban on Chinese hardware for the automotive industry.
In this edition:
Weekly Tech: AI in Saudi Arabia Is Transforming Banking & Fraud Detection
Bio-Tech: Ginkgo Bioworks Launches Revolutionary API
Auto Tech: US Tech Ban on Chinese Hardware
Tech Spotlight: Tech Spotlight of the Week: Noam Shazeer
What’s New?: Google’s AI-Powered Search Engine
Did You Know?: Debugging, A Real Bug?
Upcoming Events: Lawrence at the African Early Stage Investor Summit 2024
Stay tuned for insights and inspiration that will shape the future of technology!
WEEKLY TECH
How Is AI Revolutionizing Banking and Enhancing Fraud Prevention in Saudi Arabia?
Mashreq Bank. Image Source: International Banker
The rapid advancement of artificial intelligence (AI) is transforming various sectors worldwide, including the banking industry. AI plays a crucial role in increasing productivity and improving the detection of fraudulent activities, offering significant benefits to the sector.
In the Middle East, particularly in Saudi Arabia and the UAE, banks such as Riyadh Bank and Mashreq Bank are at the forefront of adopting AI technologies to boost precision, efficiency, and security. A report by McKinsey suggests that AI has the potential to contribute an additional $200 billion to $340 billion per year to the global banking industry by enhancing productivity levels.
Riyadh Bank’s Center of Intelligence
According to Arab News, Riyadh Bank has recently launched its "Center of Intelligence." This initiative aims to integrate state-of-the-art AI technologies into Saudi Arabia's banking landscape. The center focuses on leveraging machine learning and sophisticated modeling techniques to innovate in research and investment strategies and enhance operational efficiencies.
Mazen Pharaon, Chief Digital Officer at Riyad Bank, emphasizes that AI is a "strategic asset and game changer" for the industry. With AI’s ability to process large amounts of data swiftly, banks can now detect fraud, offer personalized services, and enhance customer satisfaction—all while maintaining ethical oversight.
Mashreq Bank's AI-Driven Solutions
Mashreq Bank in the UAE employs AI-enhanced digital tools that sift through customer data to provide customized financial advice and spot fraudulent activities. The introduction of AI-powered chatbots has been a game-changer for customer service, offering round-the-clock assistance and proactively meeting customer requirements.
The Future of AI In Banking
Looking ahead, AI's ability to adapt to emerging fraud techniques and analyze extensive datasets instantaneously significantly lowers the risk of fraud. While AI drives efficiency, human oversight is imperative to guarantee that decisions are made ethically and comply with regulatory standards.
BIO-TECH
Unleashing Biological AI: Ginkgo Bioworks Launches Revolutionary API
Ginkgo Bioworks space within The Innovation and Design Building in Boston’s Seaport. Image Source: Integrated at Work (IAW)
On September 17, 2024, Ginkgo Bioworks took a monumental step forward by launching a new model API designed to bridge biological data with artificial intelligence. This powerful tool, developed in partnership with Google Cloud, is now available to the public, enabling machine learning scientists to access sophisticated models built on proprietary protein and DNA datasets. These models, designed to accelerate research in areas such as drug discovery, synthetic biology, and genomics, represent a groundbreaking fusion of biology and AI.
According to a report by Ginkgo, their first machine-learning model, AA-0, was trained on over two billion proprietary protein sequences. This model facilitates tasks like iterative protein design and clustering algorithms, allowing researchers to unlock hidden patterns and potential therapeutic targets. The introduction of this technology is expected to streamline research pipelines, making biology easier to engineer, all while promoting an open-access framework.
For developers and enterprise teams, Ginkgo has structured the API’s pricing model to remain affordable, with a free tier available for initial experiments. With a competitive rate of approximately $0.18 per million tokens, researchers can now access this transformative technology without prohibitive costs. The company plans to expand this suite of tools, offering even more models in the year ahead. As Ginkgo continues to evolve, this release marks a pivotal moment in the future of biological research through the lens of AI innovation.
AUTO TECH
US Tech Ban on Chinese Hardware: Implications for the Auto Industry
A new initiative by the US Commerce Department to impose a ban on certain Chinese and Russian technologies in connected and self-driving cars could significantly alter the landscape of the automotive sector.
This proposed restriction, designed to fortify national security, would be enforced on all vehicles operated in the US, starting with the 2027 model year for software and extending to 2030 for hardware components. Amidst growing concerns over digital surveillance, Commerce Secretary Gina Raimondo highlighted the importance of protecting the privacy of American citizens against foreign threats.
Despite the minimal presence of Chinese technology in the current US vehicle market, this preemptive measure aims to mitigate potential future challenges Chinese electric vehicle (EV) producers pose. The Biden administration supports this initiative as a dual-purpose strategy, not only to enhance national security but also to stimulate domestic production, thereby limiting the expanding influence of China's EV sector.
Automakers are now tasked with the significant challenge of revamping their intricate supply chains to align with these upcoming rules. Despite the challenging timeline, there's an optimistic view that this move could benefit domestic producers by encouraging the development of indigenous technologies.
TECH SPOTLIGHT
Tech Spotlight of the Week: Noam Shazeer
Noam Shazeer (Image Source: CIO News)
In a striking move, Google has rehired AI expert Noam Shazeer for an eye-popping $2.7 billion. While the official deal is tied to his company, Character.AI, many believe that Google’s real motivation was to bring Shazeer back into the fold.
Shazeer, who left Google in 2021 after 21 years of service, played a pivotal role in shaping Google’s AI strategy. His return is seen as a significant win for Google as it continues to vie with OpenAI, Microsoft, and other tech giants for AI dominance.
The competition for top AI talent is fiercer than ever, and this acquisition demonstrates just how high the stakes have become. Shazeer’s expertise could give Google a decisive edge in the ongoing AI arms race, especially as generative AI continues to reshape industries.
WHATS NEW?
Google’s AI-Powered Search: A Game-Changer for Users
Google recently announced a slew of updates to its search engine, powered by artificial intelligence, marking them as some of the most significant enhancements in years. Now, users of the Google app on both Android and iOS devices can ask questions aloud while directing their phone's camera at various objects.
In addition, Google’s AI capabilities will soon support live queries during video captures, providing users with AI-driven answers in real time. This development occurs as competition heats up among major technology companies, all vying to create their platforms' most captivating AI features. With OpenAI securing an unprecedented $6.6 billion in funding, the race for AI supremacy appears far from over.
As Google rolls out search results organized by AI, the manner in which users engage with online content is set to change significantly.
DID YOU KNOW?
The Origins of "Debugging": A Literal Bug in the Machine
The first computer "bug" was quite literal! In 1947, computer pioneer Grace Hopper found a moth trapped in a Harvard Mark II computer, causing a malfunction. She removed the insect and taped it into the logbook, marking the first use of the term "debugging" for fixing computer glitches.
This moment became legendary in computer history, although “bug” had been used earlier to describe technical glitches.
UPCOMING EVENTS
Lawrence Eta to Speak at AESIS 2024: A Must-Attend Event in Cape Town, South Africa
African Early Stage Investor Summit 2024 at Cape Town, South Africa
Join me at AESIS 2024, where I will be speaking on leadership in technology and driving impactful social change. In my session, I’ll share strategies for managing organizational transformation and fostering innovation, drawing insights from my book Bridging Worlds. We'll explore how to build flexible, inclusive, and forward-thinking workplaces, providing you with practical tools for driving meaningful change in your organization.
Don’t miss this opportunity to gain insights from some of the industry's leading voices. Get your tickets here and be part of this insightful session.
That’s it for this week!
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