14 Feb 2023
By 2026, 30% of Artificial Intelligence Models in Asia/Pacific* Will Incorporate Multiple Modalities of Data to Improve Learning Effectiveness, IDC Predicts
IDC Reveals Top Artificial Intelligence (AI) and Automation Predictions in Asia/Pacific* for 2023 and Beyond.
SINGAPORE, February 15, 2023 – IDC predicts that, By 2026, 30% of AI models will incorporate multiple modalities of data to improve learning effectiveness and address the current everyday knowledge shortcomings in single-modality AI solutions. This is just one of the predictions unveiled in the report titled, IDC FutureScape : Worldwide Artificial Intelligence and Automation 2023 Predictions — Asia/Pacific (Excluding Japan) Implications.
Since the onset of the pandemic, the changing market dynamics are pushing APAC organizations to take a disciplined approach to scale AI initiatives and generate improved business impact. For AI to reach its full potential throughout the region, sharper business use cases and a more robust data ecosystem are required. Multimodal AI, a new AI paradigm, bridges the gap between humans and computer intelligence by combining various data types such as images, texts, speech, and numerical data with multiple intelligence processing algorithms and achieves higher performances.
“With AI systems now starting to leverage multiple data sources, multimodal AI outperforms single-modal AI to deliver more accurate results across a wide range of applications. Organizations are looking to maximize returns on existing technology investments, as opposed to investing in large transformation programs. AI will be leveraged for increased employee productivity, optimized supply chains, and enhanced customer experience,” according to Deepika Giri, Associate Vice President, Big Data & AI, IDC Asia/Pacific including Japan (APJ) Research.
This study presents the top 10 predictions for AI and automation initiatives through 2028. Each prediction is assessed based on its impact (a mix of cost and complexity to address) and time frame to the expected stated adoption level. This study also highlights IT impact and guidance for technology buyers for each prediction statement.
The following 10 predictions represent the expected trends with potential impact on AI and automation initiatives:
#1: Talent Gap: Persistent talent gaps will drive 55% of IT organizations to invest in AI skills by 2023, both to run automated IT operations and to support business end users adopting AI and automation solutions.
#2: Embedded AI: By 2026, AI-driven features will be embedded across business technology categories, and 65% of organizations will actively use such features to drive better outcomes without relying on technical AI talent.
#3: AI for Risk Management: As AI models become strategic, model risk and governance will consume more business attention until 2026, then 60% of Asia-based 2000 organizations (A2000) CFOs will incorporate AI risks as part of their enterprise risk programs.
#4: Low-Code/No-Code Adoption Accelerates: By 2023, most organizations will leverage codeless development tools for at least 30% of their AI and automation initiatives, helping to scale digital transformation (DX) and democratize AI.
#5: Foundation Models: By 2026, massive (>1 trillion parameter) foundation models (for natural language processing [NLP], AI-generated images, etc.) will become standard industry utilities provided only by the largest vendors.
#6: Multimodal AI: By 2026, 30% of AI models will incorporate multiple modalities of data to improve learning effectiveness and address the current everyday knowledge shortcomings in single-modality AI solutions.
#7: AI/ML as the Big Flip: Driven by the componentization of applications and by advancements in AI/machine learning (ML), 25% of A2000 companies will have AI-assembled applications by 2027, disrupting traditional developer roles.
#8: Multimodal Collaborative Automation Platforms: To speed automation development and maximize benefit, by 2025, 30% of organizations will adopt intelligent business execution strategies, turbocharging all aspects of the automation life cycle with AI.
#9: AI-infused Operations: By 2026, 75% of large Asia/Pacific enterprises will rely on AI-infused processes to enhance asset efficiency, streamline supply chains, and improve product quality across diverse and distributed environments.
#10: Sustainable AI: In response to sustainability and economic uncertainty concerns, by 2024, 25% of the A2000 organizations will adopt tooling to quantify, predict, and optimize the cost-benefit of their AI life cycle.
These predictions are discussed in greater detail in the new IDC FutureScape report, IDC FutureScape : Worldwide Artificial Intelligence and Automation 2023 Predictions — Asia/Pacific (Excluding Japan) Implications (IDC #AP48485722). Each year, IDC releases its Top Predictions through its IDC FutureScape reports to give a crystal ball view of what is ahead for the rapidly changing AI and Automation industry. These predictions have been used to shape the strategies and business objectives of technology leaders and business executives in the next 1-5 years. To learn more about IDC FutureScape reports, please click HERE.
For the first time ever, Asia/Pacific Japan FutureScape Reports will come with a complimentary report that provides specific recommendations for tech vendor sales and marketing leaders. Leverage IDC insights to better understand clients’ priorities and enhance your storytelling and go-to market plans, access the IDC FutureScape: Worldwide Artificial Intelligence and Automation 2023 Predictions – APEJ Implications: Positioning for Success – Opportunities for Tech Sales and Marketing Leaders (Doc #AP49168023) market presentation HERE. For more information on our role-based guidance, please visit Tech Impact Business Reports | IDC FutureScape 2023.
In case you missed IDC FutureScape Asia/Pacific earlier, you may visit IDC Arena to view the keynote sessions led by our Lead Analysts. IDC Arena is IDC’s new integrated content hub that takes IDC thought leadership events online, and exclusive analyst essential guidance videos on-demand.
For more information on this IDC FutureScape document, contact Deepika Giri at firstname.lastname@example.org. For media inquiries, please contact Miguel Carreon at email@example.com or Michael de la Cruz at firstname.lastname@example.org.
*Asia/Pacific excluding Japan
International Data Corporation (IDC) is the premier global provider of market intelligence, advisory services, and events for the information technology, telecommunications, and consumer technology markets. With more than 1,300 analysts worldwide, IDC offers global, regional, and local expertise on technology and industry opportunities and trends in over 110 countries. IDC's analysis and insight helps IT professionals, business executives, and the investment community to make fact-based technology decisions and to achieve their key business objectives. Founded in 1964, IDC is a wholly-owned subsidiary of International Data Group (IDG), the world's leading tech media, data and marketing services company. To learn more about IDC, please visit www.idc.com. Follow IDC on Twitter at @IDCAP and LinkedIn. Subscribe to the IDC Blog for industry news and insights.
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ContactFor more information, contact:
Michael De La Cruz