The document outlines the top AI trends for 2024, emphasizing the transformative potential of generative AI, the rise of BYOAI in workplaces, and the growing significance of AI risk legislation. It highlights the advancements in AI-driven personalization, open-source AI adoption, and the need for ethical frameworks to manage AI's impact on society. The expected growth in AI technologies and applications indicates a paradigm shift across various industries, with a strong emphasis on the integration of AI in job roles and customer service.

2. AI predictions: Top 13 AI trends for 2024
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top-13-ai-trends-for-2024

3. • Generative AI: The most disruptive
trend of the decade
• Augmented working, BYOAI &
Shadow AI
• Open Source AI
• AI Risk Hallucination Policy
• AI coding
• AI TRiSM
• Intelligent apps & AI for
personalization
Agenda
• Quantum AI
• AI Legislation
• Ethical AI
• AI Jobs
• AI-powered online search
• AI in customer service

4. Top AI trends for
2024 will
revolutionize the
future of artificial
intelligence.
AI software is rapidly
transforming our
world.
Introduction
The global AI market
is expected to reach
$190.61 billion by
2025, with a
compound annual
growth rate of 36.62
percent.
Trend topics include
generative AI,
BYOAI, AI legislation,
and more.

5. Generative AI: The most disruptive trend of the decade
Generative AI can create various forms of content, including text, code,
scripts, images, and music, by learning patterns from data.
Generative AI accelerates processes by generating and improving content,
leading to automation of tasks, increased productivity, and cost reduction
across all industries.
Capabilities of
Generative AI
Impact on Work and
Automation
Growth and Adoption
Generative AI adoption is set to skyrocket, with over 80% of enterprises
expected to incorporate generative AI into their operations by 2026.

6. Augmented working, BYOAI & Shadow AI
BYOAI, or Bring Your Own Artificial Intelligence, is a new workplace
trend where employees bring their own AI tools and applications to
work, driven by the increasing availability of affordable and easy-to-
use AI tools and the growing demand for AI skills in the workforce.
BYOAI brings increased productivity and innovation, improved
employee satisfaction, and reduced costs.
BYOAI Trend
Benefits of
BYOAI
Risks of
Shadow AI
Shadow AI, or Shadow IT for AI, refers to using AI applications and
tools within an organization without explicit knowledge or oversight
from the IT department, posing risks such as data privacy and
security breaches, and compliance violations.

7. Open Source AI in 2024
Many organizations are now adopting open-source AI models, such as GPT-
J, for their AI initiatives.
Open-source models are more transparent, flexible, customizable, and
cost-effective than proprietary models.
Adoption of Open-Source
Models
Advantages of Open-
Source Models
The Future of AI Models
While proprietary models still have a place, the future leaves more space for
open-source solutions, with 85% of enterprises incorporating open-source
AI models into their tech stacks.

8. Hallucination insurance
is projected to be a
significant revenue
generator in 2024,
reflecting the growing
impact of GenAI.
Forrester's AI
predictions for 2024
anticipate that a major
insurer will offer a
specific AI risk
hallucination policy.
The market for AI risk
hallucination insurance
is currently in its early
stages but expected to
grow rapidly in the
coming years.
AI Risk Hallucination Policy in 2024
The rise of GenAI has
raised concerns about
false outputs, known
as hallucinations,
leading to an
increased demand for
insurance coverage.
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Plus tip:

9. Importance of AI in
Development
By 2028, three out of four
enterprise software engineers
will use AI helpers to write
code, compared to less than
one out of ten in early 2023.
Growth of AI Tools Ways AI Helps Developers
AI Coding
AI helps developers by
automating repetitive tasks,
optimizing creative processes,
and improving code quality.
AI enhances the development
process, and not using AI tools
will soon put companies behind
their competitors.

10. AI TRiSM
Artificial Intelligence Trust, Risk,
and Security Management is a
framework that helps
organizations manage the risks of
developing and deploying AI
models.
AI TRiSM addresses five key
areas: Explainability, ModelOps,
Data anomaly detection,
Adversarial attack resistance, Data
protection.
Definition
Key Areas
Addressed
Importance of AI
TRiSM
AI TRiSM is becoming increasingly
important as organizations adopt
more AI. By 2026, companies that
use AI TRiSM to manage their AI
systems will make better decisions
by removing 80% of inaccurate or
fake data.
AI TRiSM helps organizations
understand how their AI models
make decisions and identify
potential biases.
AI models need to be managed and
maintained just like any other
software system. AI TRiSM provides
tools and processes for automating
and monitoring the lifecycle of AI
models.
Explainability
ModelOps

11. User Data Analysis
for Personalization
Insight from Gartner's
report: By 2026, a third
of all new apps will use
AI for personalized
user interfaces, up
from 5% today.
Growth of AI in
Personalization
Impact on User
Engagement
Intelligent Applications & AI for Personalization
AI-powered
personalization boosts
user engagement and
conversion rates.
Companies excelling at
this generate 40% more
revenue from
personalized activities
(McKinsey).
Intelligent apps
leverage AI algorithms
to analyze user data
and preferences,
tailoring content and
recommendations to
individual users.
Personalized
recommendations align
more closely with a
user's interests,
making them more
likely to engage and
purchase.
Benefits of
Personalization

12. The global Quantum AI market is expected to
reach USD 1.8 billion by 2030, growing at a CAGR
of 34.1%.
Market Growth Synergy of Quantum Computing and AI
Quantum AI
Quantum computers can provide the
computational power to train and run complex AI
models, while AI algorithms can optimize and
utilize quantum resources efficiently.
Quantum AI has the potential to revolutionize areas
such as financial modeling and risk assessment,
drug discovery and development, and Artificial
General Intelligence (AGI).
AI algorithms can analyze vast amounts of financial
data to identify patterns and predict market
movements, improving risk management and
investment strategies.
Applications Financial Impact

13. AI Legislation
• AI is increasingly sophisticated and integrated into
our lives.
• There is a growing need for legislation to govern
the development and use of AI.
Current State
• AI can be used for a wide range of positive and
negative purposes.
• Laws are needed to ensure that AI is used
responsibly and ethically.
• The European Union is leading the way in AI
legislation, with the European Commission
proposing the Artificial Intelligence Act in 2021. This
proposed regulation would be the first global
framework for AI governance. The EU AI Act will
likely be adopted in early 2024 before the June
2024 European Parliament elections.
Importance of Legislation

14. AI can reflect and amplify biases,
leading to unfair outcomes. For
example, facial recognition
software shows significant racial
bias, with Black women being
misidentified at a rate of nearly
35% compared to white men's
near-zero error rate.
The 'black-box problem' can
make it difficult to trust AI
decisions and to hold AI
developers accountable for their
creations.
AI often collects and uses large
amounts of personal data, raising
concerns about privacy and data
protection.
Bias and Fairness Transparency and
Explainability
Ethical AI
Privacy and Protection
Ethical AI is a branch of applied ethics that examines the ethical implications of artificial intelligence (AI). It
encompasses a wide range of topics, including:

15. AI Product Managers are
expected to be in high demand,
responsible for overseeing the
development of AI products and
services.
New AI jobs are emerging,
creating opportunities for those
with the right skills and
knowledge in AI technologies.
AI upskilling is a notable trend in the
job market, where professionals are
enhancing their skills to work with
artificial intelligence.
AI Jobs
AI Input and Output Managers will
manage the data inputs and
outputs for AI systems, ensuring
efficiency and accuracy.
AI Ethicists will be in demand to
ensure the ethical use of AI
technologies and prevent biases
and discrimination.
AI Engineers will play a crucial role
in building and implementing AI
solutions across various
industries.
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16. AI-powered Online Search
AI algorithms tailor results to user preferences, providing more
relevant and timely information.
AI-powered search companies face challenges in gaining customer
trust due to concerns about accuracy and biases. 39% of US
adults don't trust AI tools to respect their data privacy.
Personalized
Experiences
Challenges and
Consumer Trust
Impact on SEO and
Consumer
Preferences
AI's impact is evident in SEO and content creation. Consumers
prioritize safety, ease of use, and integration with existing digital
platforms. While some seek AI-enhanced results, others prefer
traditional search methods.

17. Companies are planning to invest
more in AI for customer service, with
69% of support leaders indicating an
increase in AI investment in the
coming year.
Increased AI Investment Enhanced Customer Service Jobs
The Impact of AI on Customer Service
AI is expected to make customer
service jobs better by not replacing,
but rather, making them more
efficient. Over 78% of support leaders
expect this transformation in the next
five years.
AI can give companies a competitive
edge in customer service, with 73% of
support leaders believing that
customers will expect AI-assisted
customer service in the next five
years.
Although customer service leaders are
confident about customers interacting
with AI chatbots, less than half of
support practitioners feel the same.
This discrepancy raises questions
about the readiness of consumers for
AI in customer service.
Competitive Edge Consumer Readiness for AI
AI and automation in customer service
can help companies save money and
improve efficiency. 66% of support
leaders are excited about using AI and
automation to increase efficiency.
Efficiency and Cost Savings
While customer service leaders are
optimistic about using AI, consumers
aren't that eager to use chatbots, as
indicated by research. This
discrepancy casts doubt on the near
future of AI in customer service.
Optimism vs. Consumer Reality

18. • Artificial intelligence (AI) is rapidly evolving and transforming industries around the
world.
• In 2024, we can expect to see even more innovation and advancement in the field of
AI.
Summary

19. • Gartner, Top 10 Strategic Technology Trends for 2024
• Forrester, Predictions 2024: Generative AI Transitions From Hype To Intent
• McKinsey & Company, The value of getting personalization right—or wrong—is
multiplying
• Yahoo! Finance, Quantum AI Market projected to exceed USD 1.8 Billion by 2030,
growing at a significant CAGR of 34.1% during the forecast period of 2023-2030 -
pronounced by MarketDigits in its recent study.
• ACLU, How is Face Recognition Surveillance Technology Racist?
• ASC, ‘ChatGPT, help me make a bomb’
• Statista, AI-powered online search - Statistics & Facts
• Intercom, The State of AI in Customer Service
Sources