Weekly Brief
×Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Financial Services Review
IDC predicts that by 2026, 30 per cent of AI models in Asia/Pacific would use several data modalities to increase learning effectiveness.
Financial Services Review | Tuesday, March 14, 2023
AI models in the Asia/Pacific region will use multiple modalities of data to improve effectiveness and address knowledge gaps.
FREMONT, CA: According to IDC, by 2026, 30 per cent of AI models will use several modalities of data to enhance learning efficiency and overcome the existing deficiencies in single-modality AI solutions related to general knowledge. The study IDC FutureScape: Global Artificial Intelligence and Automation 2023 Forecasts—Asia/Pacific (Excluding Japan) Implications has several predictions.
Due to the pandemic, the market dynamics in the APAC region have changed, compelling organisations to adopt a disciplined approach to scaling AI initiatives and driving better business outcomes. To fully realise the potential of AI in the region, there is a need for more focused business use cases and a stronger data ecosystem. Multimodal AI, which combines various types of data, such as images, text, speech, and numerical data, with multiple processing algorithms, can bridge the gap between human and computer intelligence and achieve superior performance.
Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.
AI systems are increasingly utilising multiple data sources, and multimodal AI is proving to be more effective than single-modal AI in providing precise outcomes across various applications. Instead of investing in significant transformation programs, organisations are focusing on maximising returns from their existing technology investments. AI is being used to enhance employee productivity, optimise supply chains, and improve customer experience.
The research paper outlines the ten most significant forecasts for Artificial Intelligence (AI) and automation initiatives until 2028. The impact of each prediction is evaluated based on the cost and complexity involved in implementing it. The time frame for each forecast to reach the anticipated adoption level is also analysed. Additionally, the paper provides insights into the impact of these predictions on IT and offers guidance for technology buyers on each prediction's implications.
The following 10 predictions represent the expected trends with potential impact on AI and automation initiatives.
1: Talent Gap: More than half of IT organisations will invest in AI skills by 2023 due to persistent talent shortages. These investments will be aimed at running automated IT operations and supporting business end-users in adopting AI and automation solutions.
2: Embedded AI: AI-drive features will be embedded across business technology categories by 2026, and without relying on technical talent AI talent 65 per cent of organisations will actively use such features to achieve better outcomes.
3: AI for Risk Management: Until 2026, as AI models become more strategic, modern risk and governance will demand more attention from businesses. About 60 per cent of CFOs of 2000 Asia-based organisations will include AI risks in their enterprise risk programs.
4: Low-Code/No-Code Adoption Accelerates: In 2023, it is expected that a significant number of organisations will utilise development tools that do not require coding for approximately 30 per cent of their automation and artificial intelligence (AI) projects. This approach is anticipated to aid in the expansion of digital transformation efforts and make AI more accessible to a wider range of individuals
5: Foundation Models: The use of foundation models with over one trillion parameters, for applications such as natural language processing [NLP] and AI-generated images, will be commonplace by 2026 and only the largest vendors will be able to provide them as standard industry utilities.
6: Multimodal AI: By 2026, more than 30 per cent of AI models will utilise multiple data modalities to enhance learning effectiveness and overcome the current limitations of single-modality AI solutions in addressing everyday knowledge gaps.
7: AI/ML as the Big Flip: The componentization of applications and advancements in AI/ML will lead to 25 per cent of companies having applications assembled by AI by 2027, which will disrupt traditional developer roles.
8: Multimodal Collaborative Automation Platforms: By 2025, around 30 per cent of organisations will embrace intelligent business execution strategies to accelerate the development of automation and maximise benefits by leveraging AI throughout the entire automation life cycle.
9: AI-infused Operations: By 2026, a majority of large enterprises in the Asia/Pacific region, approximately 75 per cent will use processes infused with AI to improve the efficiency of their assets, streamline supply chains, and enhance product quality in diverse and distributed environments.
10: Sustainable AI: By 2024, approximately 25 per cent of organisations will implement tools to measure, forecast, and optimise the cost-benefit of their AI life cycle in response to concerns regarding sustainability and economic uncertainty.
There will be a significant shift towards using multiple modalities of data in AI models in the Asia/Pacific region. This approach is expected to improve the effectiveness of AI learning and overcome the limitations of single-modality AI solutions in addressing knowledge gaps.
More in News
FREMONT CA: The Asia-Pacific region's digital population prioritizes convenience, making technology a crucial component of its growth and success.
From everyday activities such as online shopping and bill payments to more advanced tasks like investment management and financial planning, technology plays a pivotal role in enhancing the overall customer experience.
The region's tech-savvy culture has accelerated the adoption of Financial Technology (FinTech) services. FinTech encompasses a broad range of software, mobile applications, and innovative solutions designed to modernize and automate traditional financial processes for businesses and consumers. Examples range from straightforward mobile payment applications to sophisticated blockchain networks facilitating encrypted transactions.
FinTech companies are at the forefront of innovative solutions, offering consumers seamless access to financial services such as mobile payments, peer-to-peer lending, and online investment platforms.
The APAC region is widely recognized as a global leader in FinTech innovation, a status reinforced by its remarkable growth trajectory and competitive landscape. The sector's revenues are projected to soar from $245 billion in 2021 to $1.5 trillion by 2030, underscoring its expansion. Collaboration is at the heart of this growth, with 87 percent of APAC banks planning to partner with an average of four FinTech firms in the next 12 to 18 months, while 12 percent opt to develop in-house solutions. Key drivers for adopting FinTech solutions in the region include reducing operational costs (43 percent), streamlining the deployment of new technologies (47 percent), and accessing expertise unavailable internally (52 percent). Consumer adoption has been equally robust, with 96 percent of consumers aware of at least one FinTech platform and 64 percent utilizing such services. This confluence of innovation, collaboration, and consumer engagement positions APAC as a pivotal player in shaping the future of financial technology.
The FinTech industry in the APAC region is poised for rapid growth, driven by innovation and evolving market conditions. This fast-paced sector presents numerous opportunities, with open banking emerging as a transformative force, redefining the financial services landscape. Modern technological advancements enable external providers to access customer data traditionally held by banks, fostering a new era of economic connectivity and services.
Regionally, the adoption of financial services is particularly prominent in China and India, where the usage scale continues to grow. Singapore recognized for its advanced mobile payment solutions, has set a benchmark for digital payment adoption across the islands. Meanwhile, in developed markets such as Australia and Japan, state-of-the-art FinTech technologies seamlessly integrate into everyday life, underscoring the region’s readiness for innovation and its potential for sustained growth. ...Read more
In the digital age, trading solutions have advanced dramatically, providing investors with a range of platforms and tools to improve their trading experience. These consist of robo-advisors, social trading platforms, mobile apps, online platforms, and algo trading. These technologies facilitate smooth trade execution, effective investment management, and well-informed decision-making. Future trading solutions could be innovative, efficient, and accessible in international financial markets as technology develops.
Online Trading Platforms
Online trading platforms have revolutionized financial markets, enabling individuals to trade stocks, bonds, commodities, and forex from anywhere with an internet connection. Key features include user-friendly interfaces, real-time market data, order execution options, and advanced charting tools. With these tools' aid, traders can conduct thorough research to find possible trading opportunities, execute trades quickly, and make well-informed judgments based on the state of the market. These platforms cater to all levels of traders, guaranteeing a smooth trading experience.
Mobile Trading Apps
Mobile trading apps have revolutionized trading by offering convenient access to financial markets via smartphones and tablets. They enhance flexibility and responsiveness to market movements by allowing traders to monitor portfolios, execute trades, and receive real-time notifications. Robust security measures such as biometric authentication and encrypted data transmission ensure transaction safety. Many apps seamlessly integrate with desktop platforms for synchronized account management and trade execution.
Algorithmic Trading (Algo Trading)
Algorithmic trading, or algo trading, leverages advanced computer algorithms to automate trade execution according to pre-established strategies, enhancing speed, efficiency, and risk management. Firms like Tax Management provide tools that allow traders to backtest strategies using historical data, optimize performance, and implement protocols that reduce market risk before deploying trades in live environments.
Social Trading Platforms
Social trading platforms combine traditional trading with social networking features, allowing traders to interact, share insights, and replicate trading strategies. They offer features like copy trading, community engagement, and transparency. Signal providers automatically replicate trades and provide expert advice for similar investment results. These platforms also encourage discussion of market trends and share trading ideas. They also provide performance metrics and historical data, ensuring informed decision-making and strategy replication.
Hanasab Insurance Services offers clients algorithmic trading solutions that automate execution, enhance efficiency, and incorporate risk controls for optimized portfolio management.
Robo-Advisors
Robotic investment platforms, or robo-advisors, use algorithms to manage and optimize portfolios according to each user's preferences, financial objectives, and risk tolerance. They create diversified portfolios of ETFs and mutual funds, charge lower fees than traditional advisors, and require lower minimum investment amounts, making investing accessible to a broader audience. Some robo-advisors offer tax-efficient strategies, such as tax-loss harvesting, to minimize tax liabilities and maximize after-tax returns. ...Read more
Fintech addresses the barriers by offering alternative financing models, data-driven insights, and streamlined processes tailored to the unique needs of SMEs.
Due to their substantial contributions to employment, innovation, and community development, small and medium-sized businesses (SMEs) are essential to the expansion of the global economy. Because traditional lending institutions are frequently unable or unwilling to meet their needs, access to funding continues to be a persistent difficulty for many SMEs. Stringent credit criteria, drawn-out loan application procedures, and the high operating costs of working with smaller enterprises are some of the causes of the SME funding gap.
Traditional banks often rely on rigid evaluation criteria, such as credit scores and collateral, which many SMEs cannot meet. SMEs in emerging markets frequently operate outside formal financial systems, limiting their access to capital. Unlike traditional methods that rely solely on financial statements and credit history, fintech companies leverage non-traditional data sources, such as transaction histories, online reviews, social media activity, and payment behaviors. Fintech platforms have transformed the way SMEs access financing through digital lending marketplaces.
The platforms connect SMEs directly with a diverse pool of lenders, including peer-to-peer networks, institutional investors, and alternative lenders. By eliminating intermediaries, fintech reduces the time and cost of securing loans. Digital platforms offer transparency, allowing SMEs to compare loan terms and select options that best suit their needs. The democratization of access empowers businesses to make informed decisions and fosters competition among lenders.
Fintech has introduced innovative financial products tailored to SMEs. The solutions address cash flow challenges, ensuring SMEs have the liquidity to sustain operations and pursue growth opportunities. SMEs engaged in international trade often face hurdles such as currency conversion, high transaction fees, and complex regulatory requirements. Fintech solutions streamline cross-border transactions by providing cost-effective and efficient payment systems, currency hedging tools, and compliance support. It facilitates global trade for SMEs, expanding their market reach and revenue potential.
The integration of blockchain technology further enhances SME financing by improving transparency, security, and efficiency in financial transactions. Blockchain enables decentralized finance (DeFi) platforms, which allow SMEs to access funding directly from global investors without the need for traditional financial intermediaries. While fintech offers immense potential, challenges remain in scaling its impact. Regulatory uncertainty, lack of digital infrastructure, and low financial literacy in some regions hinder widespread adoption.
Public-private partnerships can support fintech initiatives that focus on underserved SMEs, ensuring equitable access to financing and bridging the SME financing gap through fintech, fostering economic growth, innovation, and social development. By leveraging technology, fintech provides inclusive, efficient, and tailored solutions that empower SMEs to overcome traditional barriers to capital. As fintech continues to evolve, its ability to transform SME financing will be vital in shaping a more equitable and dynamic global economy. ...Read more
Mergers and acquisitions (M&A) are effective tactics for businesses seeking to develop, enter new markets, or obtain a competitive advantage. These transactions must consider several intricate operational, legal, financial, and cultural aspects to succeed. M&A consulting is essential for helping businesses navigate this complex process. Consultants help reduce risks, find opportunities, and guarantee that value is delivered at every transaction stage with their professional guidance and methodical planning.
Pre-Deal Planning and Strategy
Long before a contract is signed, M&A consultation gets started. In the pre-deal stage, consultants collaborate extensively with clients to evaluate strategic goals and find possible purchasers or targets who share those aims. This entails assessing financial health, competitive environments, and market situations. Consultants conduct thorough due diligence to uncover hidden risks or liabilities and guarantee that assessments are reasonable and fair. Consultants assist businesses in pursuing transactions that promote long-term growth rather than immediate profits by coordinating the M&A strategy with the overarching corporate objective.
Management of Execution and Transactions
Following identifying a target and starting discussions, M&A advisors turn their attention to transaction management. In this stage, the agreement must be structured, regulatory standards followed, and legal and financial procedures coordinated. To prevent interruptions, consultants also assist in managing stakeholder communication and developing transition plans. Their responsibility is to ensure that every part of the transaction is executed precisely while maintaining the transaction's timeline and budget. When timing and compliance are especially critical in cross-border or industry-specific transactions, this degree of cooperation is essential.
Integration Following a Merger and Value Realization
Effective post-deal integration is crucial to the success of any merger or acquisition. By assisting businesses in streamlining operations, aligning cultures, and merging systems, M&A consultants keep adding value. Planning for integration begins early, but it becomes much more crucial when the purchase is finalized. Consultants help companies with team consolidation, asset consolidation, and talent retention. Their knowledge speeds up the creation of synergies, cost reductions, and expansion prospects while reducing operational disturbances. Even the most promising transactions may not meet expectations if an integration strategy is poorly implemented. ...Read more
