?? AI FUTURE TRENDS to 2025

?? AI FUTURE TRENDS to 2025

??? The digital era provides companies with numerous possibilities to create value. Data, AI, and analytics are now the primary drivers of business strategy.

??? As I keep saying, "AI is the Future, and that Future is Now!" Yet, for many, the ability to “THINK AI FUTURE" is beyond them.

??? The future requires leaders such as chief data officers (CDOs), CEOs, and CIOs to elevate data and analytics strategies, advancing a new vision of business problem solving.

??? It changes the management ethos and culture of the company. In terms of AI alone, the following 4 areas are critical strategic issues.

?? AI CORE TECHNOLOGIES

??? The pressing need for AI operational-ization will shift to continuous delivery of AI-based systems. Leaders must focus on tech that bridges the gap between development and continuous value delivery.

• By 2023, companies that scale graph techniques will deliver 5x more AI models, for multiple use cases, into production than those that don’t.
• By 2024, 70% of companies will use cloud-based AI to operationalize AI to alleviate concerns about integration and upscaling.
• By 2024, use of synthetic data and transfer learning will halve the volume of real data needed for machine learning (ML).

?

?? AI ENTERPRISE APPLICATIONS

??? Companies will use AI to make major, measurable gains in business value. IT leaders should identify promising opportunities arising from AI embedding in enterprise apps such as contract management, digital commerce, human resources (HR), and enterprise resource planning (ERP).

• By 2023, 75% of HR service management inquiries will be initiated through conversational platforms.
• By 2023, ERP data will be the basis for 30% of AI-generated predictive analyses and forecasts.
• Through 2023, up to 10% of AI training data will be poisoned by benign or malicious actors
• By 2024, 10% of digital commerce orders will be predicted and initiated by AI.
• By 2024, the manual effort required for the contract review process will be halved in companies that adopt advanced contract analytics solutions.

?? AI OPERATIONAL NETWORKS

??? The use of AI in enterprises has tripled during the past 2 years, requiring IT leaders to reevaluate their core infra-structures and optimize for AI productivity. Data and analytics leaders need to devise AI orchestration platforms to accelerate and sustain AI operationalization.

• By 2025, 50% of companies will have devised AI orchestration platforms to operationalize AI, up from fewer than 10% in 2020.
• By 2025, AI will be the top category driving infrastructure decisions, due to the maturation of the AI market, resulting in a 10x growth in compute requirements.
• By 2025, 50% of companies implementing AI platforms will use open source tech, alongside proprietary vendor offerings, to deliver state-of-the-art AI capabilities.

?? AI IMPACT ON SOCIETY

??? AI has second-order consequences that might not be readily discernible. App leaders responsible for AI need to understand these impacts in order to prepare companies for the impact on people, employees, legislation, and society.

• In 2023, 20% of successful account takeover attacks will use deep fakes to socially engineer users to turn over sensitive data or move money into criminal accounts.
• By 2024, 60% of AI providers will include a means to mitigate possible harm as part of their technologies.
• By 2025, 10% of governments will use a synthetic population with realistic behavior patterns to train AI while avoiding privacy and security concerns.
• By 2025, 75% of conversations at work will be recorded and analyzed, enabling the discovery of added organizational value and risk.
• By 2025, the concentration of pre-trained AI models among 1% of AI vendors will make responsible AI a societal concern.

?? ACT ACCORDINGLY.

??? If you need help, please contact me.

Source: Content adapted from Gartner Report; Graphic by myself.

https://www.gartner.com/en/doc/100-data-and-analytics-predictions-through-2025

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