Top 10 Strategic Technologies in 2024: AI and Automation

Top 10 Strategic
Technologies in 2024
Lets the business flow

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Introduction
In the rapidly advancing era of
artificial intelligence (AI), these
advancements offer your
organization the means to fortify
itself, create value, and adapt to
evolving customer expectations
and business models. These
technologies contribute to
establishing the necessary
infrastructure, governance, and
tools for enhanced resilience and
autonomic activities.

Advantages of these Technologies
1. Ensuring trust and
confidence in the safe
utilization of AI
2. Facilitating
sustainable activities
within your operational
ecosystem
3. Providing dedicated
technologies tailored
for specific tasks,
industries, and
functions
4. Boosting speed and
productivity with
minimal additional
investment or effort
5. Delivering increased
value for both internal
and external
stakeholders

Top 10 Strategic Technology Trends
1. AI, Trust, Risk and Security
Management (TRiSM)
The increasing availability of AI underscores
the importance of managing AI Trust, Risk,
and Security, often denoted as TRiSM by
Gartner. Without robust safeguards, AI
models have the potential to generate
escalating adverse outcomes, undermining
the positive impacts they could otherwise
facilitate.

2. Continuous Threat Exposure
Management
Continuous Threat Exposure Management
(CTEM) represents a systematic
methodology enabling organizations to
consistently assess and oversee the
accessibility, exposure, and exploitation risk
associated with their digital and physical
assets.

3. Sustainable Technology
Gartner anticipates that by 2027, around
25% of CIOs will witness a correlation
between their personal compensation and
the impact of sustainable technology
initiatives. Sustainable technology involves
a set of digital solutions designed to
facilitate ESG (Environmental, Social, and
Governance) outcomes, fostering a lasting
equilibrium in both ecological and human
rights aspects.

4. Platform Engineering
The practice of platform engineering involves
building and operating self-service
development platforms for internal use. As per
the Gartner report, 80% of software
engineering organizations will establish
platform teams as internal providers of
reusable services, components and tools for
application delivery.

5. AI Augmented Development
This pertains to leveraging machine
learning, Generative AI, and other AI
technologies to support software
engineers in application design, coding,
and testing tasks. Integrating AI in
software development enhances
developer efficiency and enables teams to
meet growing demands for essential
business software.

6. Industry Cloud Platforms
It's a specialized platform for industries
that integrates software-as-a-service
(SaaS), platform-as-a-service (PaaS), and
infrastructure-as-a-service (IaaS) elements
to deliver a product with customizable
features like an industry data fabric a set of
business capabilities, and tools for
composition.

7. Intelligent Applications
Intelligence lies at the core of intelligent
applications, as defined by Gartner. It refers to
the capacity to autonomously and
appropriately respond through learned
adaptation. This form of intelligence serves to
enhance the efficiency and dependability of
automated and augmented tasks, ultimately
leading to the delivery of more dynamic user
experiences.

8. Democratize Generative AI
Enabling widespread access to generative
AI within an organization holds the
promise of automating diverse tasks,
elevating productivity, cutting costs, and
unlocking avenues for growth. This
transformative potential extends to
reshaping the competitive landscape and
altering how enterprises approach their
work

9. Augmented Connected
Workforce
The imperative to enhance talent
scalability propels the strategy of an
Augmented-Connected Workforce
(ACWF), designed to maximize the
effectiveness of human workers. This
approach leverages intelligent
applications and workforce analytics to
offer guidance and context, fostering a
supportive environment for workforce
experience.

10. Machine Customers
Gartner has identified a new trend called
"custobots," which are nonhuman entities
capable of independently negotiating and
purchasing goods and services. They predict
that by 2028, there will be 15 billion connected
products with custobot capabilities, potentially
generating trillions of dollars in revenue by
2030.

Value Led Hyperautomation
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Top 10 Strategic Technologies in 2024: AI and Automation

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