Diverse AI Regulations & Outcome-Focused Automation: IDC’s 2024 Predictions Shape the Future

Date:

AI and Automation Predictions for 2024: Influencers That Will Shape the Future

As we edge closer to 2024, the world of artificial intelligence (AI) and automation is poised for transformative changes. The International Data Corporation (IDC) has released its top 10 predictions for the AI and automation landscape, shedding light on the upcoming trends that will shape the industry. From diverse AI regulations to outcome-focused automation, these predictions offer valuable insights for businesses and organizations looking to harness the full potential of these technologies.

1. Dual Nature of Generative AI:
Generative AI (GenAI) holds immense promise in accelerating efficiency, but it also presents significant risks. To address these risks, cloud and software platform providers are expected to bundle GenAI safety and governance packages with their primary services, providing added value and differentiation.

2. Diverse Regulatory Requirements:
As AI continues to proliferate, diverse regulatory requirements will emerge across regions and countries. This variability in regulations will lead organizations to adopt phased approaches to AI rollouts, extending the time required to realize value from AI implementations.

3. Conversational Interfaces as Standard:
Conversation is set to become the standard user interface (UI) for both enterprise and consumer applications. Conversational AI interfaces will have a profound impact on customer engagement, sales, marketing, and IT help desks.

4. Shift to Outcome-Focused Automation:
Automation projects are shifting focus from technology-centric to outcome-centric approaches. Project sponsors now demand tangible proof of value delivered for their investments, measured by Key Performance Indicators (KPIs) aligned with business and financial outcomes.

See also  AI Takes Center Stage at CES 2024, Shaping Future Lives

5. Enhanced Software Testing with GenAI:
GenAI is expected to revolutionize software testing, automating a significant portion of tests, reducing manual efforts, and improving test coverage. This transformation will positively impact code quality during the software development process.

6. Streamlined Efficiency with AI in Application Modernization:
The increased utilization of AI in application modernization IT services will streamline efficiency, speed up service delivery, and boost IT service margins. This sector is primed for significant transformation.

7. Self-Service Knowledge Discovery:
Advancements in generative AI have spurred a surge in demand for technologies like natural language question answering and conversational search. These capabilities are expected to support self-service knowledge discovery.

8. Innovative Business Models for Monetizing GenAI:
While technology provides an advantage, it is the business model that will help companies monetize generative AI and gain a competitive edge. By 2024, IDC predicts that 33% of G2000 companies will leverage innovative business models to double their GenAI monetization potential.

9. Artificial General Intelligence (AGI) on the Horizon:
Multiple groups are actively working towards developing Artificial General Intelligence (AGI). IDC predicts that by 2028, companies will begin experimenting with AGI systems, resulting in transformative changes across industries, from the labor market to our understanding of intelligence and creativity.

10. Impact of Accelerators on Server Processors:
Until AI workloads requiring offloading tasks from server processors to accelerators standardize on algorithms and software stacks tuned to server processors, the purchase of accelerators like GPUs, FPGAs, and AI ASICs will continue to impact the sale of server processors (CPUs).

See also  ChatGPT Skills in High Demand: 9 out of 10 Companies Hiring Now Revealed by Survey

In conclusion, IDC’s predictions paint a vivid picture of the evolving landscape of artificial intelligence and automation in 2024 and beyond. As businesses aim to thrive in this digital-first world, they must navigate regulatory landscapes, adopt conversational UIs, focus on outcomes, and adapt to the changing chip priorities. With AGI on the horizon, the implications for society, labor markets, and creativity are profound, making it a focal point for the years to come. The future holds immense potential for AI and automation, and staying informed and adaptable will be crucial in harnessing this potential for success.

Frequently Asked Questions (FAQs) Related to the Above News

What is generative AI (GenAI) and why is it significant?

Generative AI, or GenAI, refers to AI models and systems that can generate new and original content, such as images, text, or music. It is significant because it has the potential to accelerate efficiency and productivity in various industries, but also presents risks that need to be addressed to ensure safety and ethical use.

How will diverse regulatory requirements impact the adoption of AI?

Diverse regulatory requirements across regions and countries will impact the adoption of AI by leading organizations to adopt phased approaches in rolling out AI implementations. This means that it may take longer to realize the full value of AI due to the need to comply with various regulations.

How will conversational interfaces affect different aspects of businesses?

Conversational interfaces, which use AI to enable natural language communication between humans and machines, will have a profound impact on customer engagement, sales, marketing, and IT help desks. They will become the standard user interface for both enterprise and consumer applications, enhancing user experience and efficiency.

What is the shift in focus in automation projects?

Automation projects are shifting from being technology-centric to becoming outcome-centric. Project sponsors now expect tangible proof of value delivered by automation investments, measured through Key Performance Indicators (KPIs) aligned with business and financial outcomes.

How will GenAI enhance software testing?

GenAI is expected to revolutionize software testing by automating a significant portion of tests, reducing manual efforts, and improving test coverage. This transformation will result in higher code quality during the software development process.

How will AI impact application modernization IT services?

The increased utilization of AI in application modernization IT services will streamline efficiency, speed up service delivery, and boost IT service margins. This sector is expected to undergo significant transformation due to AI integration.

What role will generative AI play in self-service knowledge discovery?

Advancements in generative AI have led to increased demand for technologies like natural language question answering and conversational search. These capabilities will support self-service knowledge discovery, enabling users to find information more efficiently and independently.

How can companies monetize generative AI?

While technology provides an advantage, it is the business model that will help companies monetize generative AI and gain a competitive edge. By leveraging innovative business models, IDC predicts that 33% of G2000 companies will double their GenAI monetization potential by 2024.

What is Artificial General Intelligence (AGI) and when can we expect its development?

Artificial General Intelligence (AGI) refers to AI systems that possess the ability to understand, learn, and apply knowledge across various domains, surpassing human capabilities. IDC predicts that companies will begin experimenting with AGI systems by 2028, resulting in transformative changes across industries.

How will accelerators impact the sale of server processors?

Until AI workloads standardized on algorithms and software stacks that are tuned to server processors, the purchase of accelerators like GPUs, FPGAs, and AI ASICs will continue to impact the sale of server processors (CPUs). As AI workloads increasingly require offloading tasks from server processors to accelerators, the demand for accelerators will influence the choices made by businesses when purchasing server processors. Note: The answers provided above are based on the information given in the article. These answers may not reflect the most up-to-date information or the full context of the topic.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

Share post:

Subscribe

Popular

More like this
Related

Beware AI Attacks: Expert Warns of Rising Threats

AI attacks are a rising threat, warns security expert. Learn how criminals exploit AI to target unsuspecting individuals and how to protect yourself.

Nursing Job Opportunities in Singapore Offer Lifeline for Indian Nurses

Discover how Nursing Job Opportunities in Singapore are becoming a lifeline for Indian Nurses seeking international career growth and advancement.

Google’s AI Drive Increases Greenhouse Gas Emissions 48% – Sustainability Challenges Ahead

Google's AI integration raises greenhouse gas emissions by 48%, posing sustainability challenges for the tech giant.

IIT Mandi Startup Develops AI-Enabled Yoga Mat ‘YogiFi’ Presented to Union Ministers

Indian startup Wellnesys Technologies Private Ltd, incubated at IIT...