From personalised recommendations to streamlined operations, AI is transforming the products, services and processes in the BFSI industries. While leaders realise that AI holds significant potential, turning that potential into reality is often tough. Many BFSI organisations struggle to move beyond AI pilots because of some key barriers.
Despite the challenges, BFSI organisations are witnessing early AI success in these 3 areas:
1.Customer Service & Engagement
2.Risk Management & Fraud Detection
3.Process Automation & Efficiency
Customer Service & Engagement Use Cases
Virtual Assistants and Chatbots. Delivering real-time product information and customer support
Customer Experience Analysis. Analysing data to uncover trends and improve user experiences
Personalised Recommendations. Providing tailored financial products based on user behaviour and preferences
“While we remain cautious about customer-facing applications, many of our AI use cases provide valuable customer insights to our employees. Human-in-the-loop is still a critical consideration.” – INSURANCE CX LEADER
Risk Management & Fraud Detection Use Cases
Enhanced Credit Scoring. Improved assessment of creditworthiness and risks
Advanced Fraud Detection. Easier detection and prevention of fraudulent activities
Comprehensive Risk Strategy. Assessment of risk factors to develop effective strategies
“We deployed enterprise-grade AI models that are making a significant impact in specialised areas like credit decisioning and risk modelling.” – BANKING DATA LEADER
Process Automation and Efficiency
Backend Process Streamlining. Automating workflows and processes to boost efficiency
Loan & Claims Processing. Speeding up application and approval processes
Invoice Processing. Automating invoice management to minimise errors
“Our focus is on creating a mindset where employees see AI as a tool that can augment their capabilities rather than replace them.” – BANKING COO
AI is revolutionising the way crypto exchanges operate – from enhanced efficiency and security to a more personalised user experience.
One of the most significant contributions of AI is the use of automated trading bots. These bots can analyse vast amounts of market data, predict price movements, and execute trades with precision, often outperforming human traders. By operating 24/7 and eliminating emotional biases, AI-powered bots offer a significant advantage in the fast-paced world of cryptocurrency trading.
AI also plays a crucial role in improving security on crypto exchanges. By using machine learning algorithms to monitor and analyse transaction patterns, AI can identify and mitigate the risks of hacks and fraud, which have plagued the cryptocurrency space for years. For example, in 2023 alone, crypto scams led to losses of over USD 5.6 billion in the US.
AI personalises the user experience by offering tailored recommendations based on individual trading behaviour. Additionally, AI performs market sentiment analysis by processing unstructured data from social media, news outlets, and other online platforms, providing valuable insights into market trends. AI also plays a crucial role in improving security on crypto exchanges.
#2 Global Cryptocurrency Regulations: A Maturing Landscape
Cryptocurrency regulations are evolving rapidly around the world as governments strive to manage risks and protect consumers. The Markets in Crypto-Assets (MiCA) regulation in the EU is a significant milestone, requiring licensing for all crypto firms operating within the bloc and mandating stringent consumer protection measures, including capital requirements for stablecoins.
In the US, efforts like the Financial Innovation and Technology (FIT) for the 21st Century Act and the Blockchain Regulatory Certainty Act are expanding oversight of the industry and clarifying the roles of different regulatory bodies. Similar regulatory movements are underway across Asia. Japan has recognised crypto as legal property, and South Korea passed the Virtual Asset Users Protection Act to increase transparency. However, countries like China and India maintain restrictive approaches, with bans on trading and mining.
Brazil’s 2023 Cryptoassets Act demonstrates the global trend towards more robust regulation, aiming to prevent fraud in the crypto sector.
#3 Mergers and Acquisitions: A Strategic Play in the Crypto Space
As traditional financial institutions race to embrace the digital asset revolution, mergers and acquisitions are becoming a strategic tool to gain a foothold in the cryptocurrency market. By acquiring crypto companies with real-world applications and robust infrastructure, these institutions aim to expand their digital asset capabilities and stay ahead of the curve.
Examples like Ripple’s acquisition of Metaco and Coinbase’s purchase of One River Digital highlight the growing interest in integrating traditional financial services with blockchain technology. These M&A deals not only enhance service offerings but also facilitate entry into new markets and the development of innovative solutions.
Looking ahead, we can expect to see even larger financial institutions playing a more active role in crypto mergers and acquisitions. As the demand for scalable, compliant blockchain solutions continues to grow, strategic partnerships and acquisitions will become increasingly important in paving the way for broader adoption of digital assets.
#4 CBDCs and Stablecoins: A New Era in Digital Finance
Central Bank Digital Currencies (CBDCs) are gaining significant traction, with 86% of central banks actively exploring their potential. Major economies like the UK, EU, and US are in various stages of CBDC research and development, carefully considering privacy concerns, financial stability, and the impact on commercial banks. Smaller nations like the Bahamas, Nigeria, and Jamaica have taken the lead, launching CBDCs to serve as digital alternatives to traditional fiat currencies.
In the private sector, stablecoins have experienced substantial adoption. Major financial institutions and payment providers are integrating stablecoins like USDC and Tether (USDT) into their services, processing billions in daily transaction volume. This growth has prompted regulators worldwide to develop comprehensive frameworks, such as the EU’s MiCA regulation and similar efforts in the UK and US. These regulatory initiatives aim to provide clear guidelines while fostering innovation.
As traditional financial institutions explore stablecoin integration for both retail and wholesale applications, the future of digital finance looks increasingly promising.
#5 The Focus on User Experience and Security
As the crypto landscape continues to evolve, the focus on user experience and security has never been more critical. Cyberattacks are becoming increasingly sophisticated, targeting crypto exchanges and DeFi platforms alike. Historically, the industry has been developer-centric, with little attention paid to creating intuitive platforms for everyday users. However, as more consumers embrace blockchain-based financial services, there is a growing demand for seamless, user-friendly interfaces.
Security is another major concern. High-profile hacks and fraud have tarnished the reputation of the crypto industry, leading to skepticism among users and regulators. DeFi platforms, in particular, have been frequent targets due to vulnerabilities in smart contracts. To foster widespread trust and adoption, the industry must prioritise integrating security features by design, such as blockchain analytics for detecting fraudulent activities and advanced risk management tools.
Emerging technologies like social recovery wallets, which help users regain access to lost funds, and improvements in blockchain scalability and efficiency, will be instrumental in attracting more mainstream users.
Crypto’s Future: A Balancing Act
The future of the crypto industry hinges on its ability to strike a delicate balance between innovation, regulation, and security. As digital assets become more deeply integrated into mainstream finance, we can expect to see a surge in tokenised real-world assets, stablecoins, and central bank digital currencies.
Collaboration between regulators, financial institutions, and tech innovators will be essential in shaping a secure and inclusive ecosystem.Ultimately, the success of crypto will depend on its ability to build trust while delivering the efficiency and transparency that define a rapidly evolving digital economy.
To uncover how banks in Southeast Asia are navigating this complex landscape and what it takes to succeed, Ecosystm engaged in in-depth conversations with senior banking executives and technology leaders as part of our research initiatives. Here are the highlights of the discussions with leaders across the region.
#1 Achieving Hyper-Personalisation Through AI
As banks strive to deliver highly personalised financial services, AI-driven models are becoming increasingly essential. These models analyse customer behaviour to anticipate needs, predict future behaviour, and offer relevant services at the right time. AI-powered tools like chatbots and virtual assistants further enhance real-time customer support.
Hyper-personalisation, while promising, comes with its challenges – particularly around data privacy and security. To deliver deeply tailored services, banks must collect extensive customer information, which raises the question: how can they ensure this sensitive data remains protected?
AI projects require a delicate balance between innovation and regulatory compliance. Regulations often serve as the right set of guardrails within which banks can innovate. However, banks – especially those with cross-border operations – must establish internal guidelines that consider the regulatory landscape of multiple jurisdictions.
#2 Beyond AI: Other Emerging Technologies
AI isn’t the only emerging technology reshaping Southeast Asian banking. Banks are increasingly adopting technologies like Robotic Process Automation (RPA) and blockchain to boost efficiency and engagement. RPA is automating repetitive tasks, such as data entry and compliance checks, freeing up staff for higher-value work. CIMB in Malaysia reports seeing a 35-50% productivity increase thanks to RPA. Blockchain is being explored for secure, transparent transactions, especially cross-border payments. The Asian Development Bank successfully trialled blockchain for faster, safer bond settlements. While AR and VR are still emerging in banking, they offer potential for enhanced customer engagement. Banks are experimenting with immersive experiences like virtual branch visits and interactive financial education tools.
The convergence of these emerging technologies will drive innovation and meet the rising demand for seamless, secure, and personalised banking services in the digital age. This is particularly true for banks that have the foresight to future-proof their tech foundation as part of their ongoing modernisation efforts. Emerging technologies offer exciting opportunities to enhance customer engagement, but they shouldn’t be used merely as marketing gimmicks. The focus must be on delivering tangible benefits that improve customer outcomes.
#3 Greater Banking-Fintech Collaboration
The digital payments landscape in Southeast Asia is experiencing rapid growth, with a projected 10% increase between 2024-2028. Digital wallets and contactless payments are becoming the norm, and platforms like GrabPay, GoPay, and ShopeePay are dominating the market. These platforms not only offer convenience but also enhance financial inclusion by reaching underbanked populations in remote areas.
The rise of digital payments has significantly impacted traditional banks. To remain relevant in this increasingly cashless society, banks are collaborating with fintech companies to integrate digital payment solutions into their services. For instance, Indonesia’s Bank Mandiri collaborated with digital credit services provider Kredivo to provide customers with access to affordable and convenient credit options.
Partnerships between traditional banks and fintechs are essential for staying competitive in the digital age, especially in areas like digital payments, data analytics, and customer experience.
While these collaborations offer opportunities, they also pose challenges. Banks must invest in advanced fraud detection, AI monitoring, and robust authentication to secure digital payments. Once banks adopt a mindset of collaboration with innovators, they can leverage numerous innovations in the cybersecurity space to address these challenges.
#4 Agile Infrastructure for an Agile Business
While the banking industry is considered a pioneer in implementing digital technologies, its approach to cloud has been more cautious. While interest remained high, balancing security and regulatory concerns with cloud agility impacted the pace. Hybrid multi-cloud environments has accelerated banking cloud adoption.
Leveraging public and private clouds optimises IT costs, offering flexibility and scalability for changing business needs. Hybrid cloud allows resource adjustments for peak demand or cost reductions off-peak. Access to cloud-native services accelerates innovation, enabling rapid application development and improved competitiveness. As the industry adopts GenAI, it requires infrastructure capable of handling vast data, massive computing power, advanced security, and rapid scalability – all strengths of hybrid cloud.
Replicating critical applications and data across multiple locations ensures disaster recovery and business continuity. A multi-cloud strategy also helps avoid vendor lock-in, diversifies cloud providers, and reduces exposure to outages.
Hybrid cloud adoption offers benefits but also presents challenges for banks. Managing the environment is complex, needing coordination across platforms and skilled personnel. Ensuring data security and compliance across on-prem and public cloud infrastructure is demanding, requiring robust measures. Network latency and performance issues can arise, making careful design and optimisation crucial. Integrating on-prem systems with public cloud services is time-consuming and needs investment in tools and expertise.
#5 Cyber Measures to Promote Customer & Stakeholder Trust
The banking sector is undergoing rapid AI-driven digital transformation, focusing on areas like digital customer experiences, fraud detection, and risk assessment. However, this shift also increases cybersecurity risks, with the majority of banking technology leaders anticipate inevitable data breaches and outages.
Key challenges include expanding technology use, such as cloud adoption and AI integration, and employee-related vulnerabilities like phishing. Banks in Southeast Asia are investing heavily in modernising infrastructure, software, and cybersecurity.
Banks must update cybersecurity strategies to detect threats early, minimise damage, and prevent lateral movement within networks.
Employee training, clear security policies, and a culture of security consciousness are critical in preventing breaches.
Regulatory compliance remains a significant concern, but banks are encouraged to move beyond compliance checklists and adopt risk-based, intelligence-led strategies. AI will play a key role in automating compliance and enhancing Security Operations Centres (SOCs), allowing for faster threat detection and response. Ultimately, the BFSI sector must prioritise cybersecurity continuously based on risk, rather than solely on regulatory demands.
Breaking Down Barriers: The Role of Collaboration in Banking Transformation
Successful banking transformation hinges on a seamless collaboration between technology and business teams. By aligning strategies, fostering open communication, and encouraging cross-functional cooperation, banks can effectively leverage emerging technologies to drive innovation, enhance customer experience, and improve efficiency.
A prime example of the power of collaboration is the success of AI initiatives in addressing specific business challenges.
This user-centric approach ensures that technology addresses real business needs.
By fostering a culture of collaboration, banks can promote continuous learning, idea sharing, and innovation, ultimately driving successful transformation and long-term growth in the competitive digital landscape.
But what does “impact” actually mean? Many people use the term in a generic sense to describe some positive effect of a business or organisation. However, in the world of “impact investing”, impact has a specific meaning.
Impact is the ultimate large-scale contribution of a business, company or country to society including the environment.
This impact can be both positive and negative. It is fair to say that in the process of producing goods and services worldwide, positive and negative impacts are created simultaneously. The key question is whether the positive outweighs the negative.
#2 The Impact is Social or Environmental
As for a business, company, or country’s contribution to society, the UN Sustainable Development Goals are a solid framework are a solid framework for orientation. These are the pressing problems that once improved will lead to a more balanced and sustainable future.
Any company of any size and from any industry can easily identify which of the SDGs their products and services support.
By using references to certain SDGs organisations can then communicate their vision and mission more clearly to investors but also other relevant stakeholders such as governments, communities, suppliers, and consumers.
#3 The Impact is Long-Term
The “ultimate” aspect of impact refers to the fact that impact is not about immediate outputs or outcomes.
Impact is the long-term consequence and systemic change due to a continuous use of an organisation’s products and services.
If we take the example of a fintech solution that promotes financial literacy, transparency, or inclusive access to investing, the impact of that solution is not that people benefit from easier or faster financial transactions. Rather, it’s about creating new financial opportunities for a broader segment of the world population, potentially leading to greater economic empowerment for underserved groups – aligning with SDG 8 (Decent Work and Economic Growth) and SDG 5 (Gender Equality).
#4 The Impact is Scalable
The “large-scale” aspect of impact is critical for impact venture funds, as they seek to invest in scalable businesses that can amplify positive outcomes. Given the urgency of global challenges, there is no time or resources to spare on small-scale solutions. The geographic location of a startup or its initial focus on a specific region is irrelevant – what matters is its potential to grow and address pressing global issues efficiently.
If a product, service, or solution is sufficiently generic and easily scalable to reach a broader audience and various markets, the potential impact of that business will be appealing to impact venture funds.
#5 The Impact is Measurable
It is easy for organisations to remain vague or qualitative in their statements about impact, particularly when discussing the positive and charitable aspects of their actions.
If organisations are serious about creating change, they need to treat impact as an equal measure to profit.As Peter Drucker famously said, “If you can’t measure it, you can’t manage it”.
In the impact realm, deriving meaningful KPIs can be complex. Collaborating with an impact venture fund not only sets the expectations but also provides guidance to establish a transparent framework of KPIs to measure a business’s impact.
Ecosystm Opinion
Many believe only social businesses qualify for impact venture funding. In reality, any (tech) company solving societal or environmental issues is inherently impact-oriented. The key is awareness, measurement, and partnering with the right people.
Check out the websites and portfolios of impact venture funds – you’ll be surprised by the diverse areas and industries they support. Your startup might be the perfect match!
Redefining Customer Experience in the Financial Sector
Financial inclusion. India’s largest bank, the State Bank of India, is leading financial inclusion with its YONO app, to enhance accessibility. Initial offerings include five core banking services: cash withdrawals, cash deposits, fund transfers, balance inquiries, and mini statements, with plans to include account opening and social security scheme enrollments.
Customer Experience. ICICI Bankleverages RPA to streamline repetitive tasks, enhancing customer service with its virtual assistant, iPal, for handling queries and transactions. HDFC Bankcustomer preference insights to offer tailored financial solutions, while Axis Bankembraces a cloud-first strategy to digitise its platform and improve customer interfaces.
Indian banks are also collaborating with fintechs to harness new technologies for better customer experiences. YES Bank has partnered with Paisabazaar to simplify loan applications, and Canara HSBC Life Insurancehas teamed up with Artivatic.AI to enhance its insurance processes via an AI-driven platform.
Improving Healthcare Access
Indian healthcare organisations are harnessing technology to enhance efficiency, improve patient experiences, and enable remote care.
Apollo Hospitalshas launched an automated patient monitoring system that alerts experts to health deteriorations, enabling timely interventions through remote monitoring. Manipal Hospitals’ video consultation app reduces emergency department pressure by providing medical advice, lab report access, bill payments, appointment bookings, and home healthcare requests, as well as home medication delivery and Fitbit monitoring. Omni Hospitalshas also implemented AI-based telemedicine for enhanced patient engagement and remote monitoring.
The government is also driving the improvement of healthcare access. eSanjeevani is the world’s largest government-owned telemedicine system, with the capacity to handle up to a million patients a day.
Driving Retail Agility & Consumer Engagement
India’s Retail sector, the fourth largest globally, contributes over 10% of the nation’s GDP. To stay competitive and meet evolving consumer demands, Indian retailers are rapidly adopting digital technologies, from eCommerce platforms to AI.
Omnichannel Strategies. Reliance Retailintegrates physical stores with digital platforms like JioMart to boost sales and customer engagement. Tata CLiQ’s “phygital” approach merges online and offline shopping for greater convenience while Shoppers Stop uses RFID and data analytics for improved in-store experiences, online shopping, and targeted marketing.
Retail AI. Flipkart’s AI-powered shopping assistant, Flippi uses ML for conversational product discovery and intuitive guidance. BigBasket employs IoT-led AI to optimise supply chain and improve product quality.
Reshaping the Automotive Landscape
Tech innovation, from AI/ML to connected vehicle technologies, is revolutionising the Automotive sector. This shift towards software-defined vehicles and predictive supply chain management underscores the industry’s commitment to efficiency, transparency, safety, and environmental sustainability.
Maruti Suzuki’smulti-pronged approach includes collaborating with over 60 startups through its MAIL program and engaging Accenture to drive tech change. Maruti has digitised 24 out of 26 customer touchpoints, tracking every interaction to enhance customer service. In the Auto OEM space, they are shifting to software-defined vehicles and operating models.
Tata Motorsis leveraging cloud, AI/ML, and IoT to enhancing efficiency, improving safety, and driving sustainability across its operations. Key initiatives include connected vehicles, automated driving, dealer management, cybersecurity, electric powertrains, sustainability, and supply chain optimisation.
Streamlining India’s Logistics Sector
India’s logistics industry is on the cusp of a digital revolution as it embraces cutting-edge technologies to streamline processes and reduce environmental impact.
Automation and Predictive Analytics. Automation is transforming warehousing operationsin India, with DHL India automating sortation centres to handle 6,000 shipments per hour. Predictive analytics is reshaping logistics decision-making, with Delhivery optimising delivery routes to ensure timely service.
Sustainable Practices. The logistics sector contributes one-third of global carbon emissions. To combat this, Amazon India will convert its delivery fleet to 100% EVs by 2030 to reduce emissions and fuel costs. Blue Energy Motorsis also producing 10,000 heavy-duty LNG trucks annually for zero-emission logistics.
Fuelling AI Innovation: India’s Strategic Investment
Earlier this year, the government allocated USD 1.3 billion for theIndia AI Mission, solidifying its commitment to AI. This comprehensive program is designed to catalyse the AI innovation ecosystem within the country. At the heart of this ecosystem’s development lies the expansion of compute infrastructure, a critical resource for AI startups. By providing access to powerful computing resources, the India AI Mission is empowering startups to scale their solutions and compete on a global level.
Beyond infrastructure, the initiative focuses on fostering collaborations between academia, industry, and startups to drive R&D. By creating a supportive environment that promotes knowledge sharing and resource accessibility, the India AI Mission aims to position India as a leader in the AI landscape.
A Spotlight on Indian Startups
Driving Industry Innovation
Healthcare.India’s vibrant AI startup ecosystem is driving innovation in healthcare, with companies leveraging AI to address critical challenges and improve patient outcomes.
Cancer-Focused AI Startups. Several startups are revolutionising cancer care with AI-driven innovations. Niramai, globally recognised for its innovation, uses AI and thermal imaging for early breast cancer detection, particularly effective in younger women and dense breast tissue. Onward Assist provides predictive analytics for oncology, helping oncologists manage patient data and improve the accuracy of cancer care decisions. Similarly, Atom360 focuses on oral cancer screening with an AI-powered app that offers quick, affordable access to critical information, enhancing oral healthcare in underserved areas.
AI-Driven Diagnostic Solutions. AI is significantly advancing diagnostics, enhancing accuracy, and reducing misdiagnosis. SigTuple develops AI-driven diagnostic solutions for medical imaging and pathology, improving accuracy and efficiency in disease detection. Endimension Technology, incubated at IIT Bombay, develops algorithms for detecting abnormalities in medical scans, aiming to reduce misdiagnosis and radiologist workload. Tricog Health delivers AI solutions for rapid heart attack diagnosis, reducing diagnosis time and improving outcomes, especially in underserved regions.
Financial Services. Fintechs have been at the forefront of AI-led innovations, offering innovative solutions for insurance, lending, and microfinance. Artivatic uses AI to transform traditional insurance systems into digital, personalised offerings, making coverage more accessible and affordable for a broader range of consumers. ZestMoney leverages AI for digital lending, providing credit to individuals without a credit history through easy EMI plans, and enhancing financial access. Meanwhile, mPokket offers instant micro-loans to students and young professionals, addressing short-term financial needs with flexible loan options and minimal documentation.
Other Industries. Beyond healthcare and financial services, AI startups are driving innovation across various industries, tackling critical challenges. Entropik uses AI to analyse human emotions and behaviour, helping businesses gain deeper insights into consumer preferences for market research and optimising user experiences. In agriculture, Intello Labs applies AI and computer vision to assess the quality of fresh produce, reducing food waste and improving supply chain efficiency. Similarly, AgNext enhances food value chains by offering AI-driven, real-time quality assessments through its SaaS platform, promoting safety and transparency in agribusiness.
Transforming Businesses
Technology for Security & Fraud. AI startups are offering innovative solutions tailored to organisations’ needs. SpoofSense combats deepfakes and identity fraud with advanced facial liveness detection, ensuring secure user verification by distinguishing between real users and spoofed images. Eagle Eye Networks provides cloud-based video surveillance solutions, using AI to offer real-time monitoring and analytics. In the e-commerce space, ThirdWatch uses AI to detect and prevent fraud in real-time by analysing user behaviour and transaction patterns, reducing financial losses for online retailers.
Tech Development. AI startups are empowering organisations to accelerate innovation and enhance productivity. Haptik helps businesses build intelligent virtual assistants, powering chatbots and voice bots across industries to improve customer engagement. DhiWise automates the development process, enabling faster app creation by converting designs into code. Additionally, Fluid AI provides advanced AI solutions like predictive analytics and natural language processing for sectors like finance, retail, and healthcare. Mihup enhances contact centre performance with its conversation intelligence platform, while Yellow.ai enables enterprises to automate customer engagement through its GenAI-powered platform, creating seamless and scalable customer service experiences.
Empowering People
AI startups are empowering individuals by providing personalised services that enhance learning, creativity, and financial management. SuperKalam and ZuAI offer students tailored learning experiences, using AI to create interactive lessons and assessments that adapt to individual learning styles, improving student engagement and outcomes. For creative professionals, Mugafi combines AI with human mentoring to assist writers in generating ideas and developing scripts, enabling them to create intellectual property with greater efficiency. Wright Research empowers individuals to make informed financial decisions through AI-powered investment advice, while Vahan simplifies job searches for blue-collar workers by using AI to match candidates with suitable employment opportunities via WhatsApp.
Promoting ESG
AI startups are driving meaningful change by optimising processes and creating economic opportunities. Ossus Biorenewables enhances biofuel production through AI, reducing waste and increasing efficiency in renewable energy generation, while Ishitva Robotic Systems promotes sustainability by automating waste sorting and recycling, contributing to a more efficient and circular economy. Karya connects rural workers with digital tasks, offering fair wages and skills development by matching them to tasks suited to their abilities using machine learning. In agriculture, KissanAI helps farmers improve crop yields and manage resources effectively through personalised, data-driven recommendations. ElasticRun improves last-mile delivery logistics in rural areas, enabling businesses to reach underserved markets.
Conclusion
Nvidia CEO Jensen Huang noted India’s potential to become the “largest exporter of AI,” signalling vast global opportunities. India’s AI startups are at the forefront of innovation but face hurdles such as fierce competition for skilled talent, navigating complex regulations, and securing funding. With strategic focus on these challenges and the backing of initiatives like Digital India and Startup India, India’s AI ecosystem can seize emerging market opportunities, accelerate tech advancements, and make a substantial impact on the global AI landscape.
