Trends in artificial intelligence for business in 2023

Trends in artificial intelligence for business in 2023

Every year, major business consulting firms make their predictions about disruptive technologies and how they will impact the economy and businesses.


Artificial Intelligence and automation is a critical point for organizations that want to have a competitive advantage in the future. If you want your company to be in this group, you should know the 10 AI predictions for 2023 and next years. 


To make this list, we based on the forecasts of International Data Corporation, presented in November 2022. This report indicates that the sectors that will invest the most in Artificial Intelligence will be retail, financial services, and manufacturing. 


In addition, according to IDC, global spending on Artificial Intelligence will exceed $301 billion by 2025.

Source: IDC FutureScape ‘Worldwide Artificial Intelligence and Automation 2023 Predictions’


Artificial Intelligence Predictions


  1. Talent Gap: Persistent talent gaps will drive 35% of IT organizations to invest in AI skills by 2023, both to run automated operations and to support enterprise end users adopting AI and automation solutions.


  1. Low-Code / No-Code: By 2024, most organizations will leverage no-code development tools for at least 30% of their AI/Automation initiatives, helping to scale digital transformation and democratize AI.


  1. Sustainable AI: In response to sustainability concerns and economic uncertainty, by 2024, 40% of the G2000 will adopt tools to quantify, predict and optimize the cost-benefit ratio of their AI lifecycle.


  1. AI for risk Management: As AI models become strategic, risk and model governance will consume more enterprise attention, until by 2025, 60% of G2000 CFOs will incorporate AI risk as part of their enterprise risk programs.


  1. Multimodal Automation: To accelerate automation development and maximize benefits, by 2025, 50% of organizations will adopt intelligent business execution strategies, driving all aspects of the automation lifecycle with AI.


  1. AI-driven Company (Embedded AI): AI-based capabilities will be integrated into all enterprise technology categories by 2026. 60% of organizations will actively use these capabilities to achieve better results without relying on technical AI talent.


  1. AI-Infused Operations: By 2026, 75% of large enterprises will rely on AI-infused processes to improve asset efficiency, streamline supply chains, and improve product quality in diverse and distributed environments.


  1. Foundation Models: By 2026, AI models with more than one trillion (e.g., for NLP, AI-generated images, etc.) will become a standard provided by large vendors.


  1. Multi-Modal AI: By 2026, 40% of AI models will incorporate multiple data modalities to improve learning efficiency and address current day-to-day knowledge gaps in AI solutions.


  1. AI/ML the Big Flip: Driven by application componentization and advances in AI/ML, 25% of enterprises in the G2000 companies will have applications assembled with AI by 2027, disrupting traditional developer roles.


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The difference between the companies that will survive in the coming years and those that will not is undoubtedly the incorporation of AI and automation into the majority of their operations.


At Apiux we are prepared to be the ideal partner to support organizations in navigating these new challenges and improve their predictive and prescriptive data insights with Machine Learning and advanced analytics.

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