Gartner’s Top Tech Trends for 2023
Summary
TLDRThis video explores four strategic technology trends for 2023 driving organizational and digital transformation. It highlights industry cloud platforms, which offer customizable solutions for verticals like banking and healthcare. The rise of superapps providing integrated services is discussed, along with adaptive AI systems that improve decision-making. Lastly, the importance of sustainability in technology is emphasized, predicting that by 2025, a significant number of executives will be held accountable for sustainable tech outcomes.
Takeaways
- 🌟 **Industry Cloud Platforms**: Combine cloud capabilities with customizable solutions for specific industries, enhancing business capabilities and innovation.
- 🚀 **Adaptability & Innovation**: Industry cloud platforms are more adaptable, support faster innovation, and help reduce redundancy for quicker value capture.
- 🤝 **Partnerships & Collaboration**: Goldman Sachs' partnership with AWS exemplifies how industry cloud platforms can offer advanced tools to clients.
- 📈 **Market Prediction**: By 2027, over 50% of enterprises are expected to use industry cloud platforms to accelerate business initiatives.
- 👥 **Fusion Teams**: Suggests creating teams of business technologists and IT stakeholders to understand cloud applications in business capabilities.
- 📱 **Superapps**: A trend towards mobile-first experiences, where superapps provide a broad range of services, increasing user engagement.
- 🛍️ **Consumer Experience**: Superapps aim to reduce friction in user experiences, offering a one-stop solution for various services.
- 📊 **Adaptive AI**: AI systems that learn and adapt to changes, crucial for dynamic conditions like supply chain disruptions.
- 💡 **AI Model Production**: Enterprises with adaptive AI systems are predicted to have 25% more AI models in production by 2026.
- 🌱 **Sustainability**: A growing focus on using technology to deliver sustainable outcomes, with executives being held responsible by 2025.
Q & A
What are the four top strategic technology trends for 2023 mentioned in the script?
-The four top strategic technology trends for 2023 mentioned are industry cloud platforms, superapps, adaptive artificial intelligence, and sustainability.
How do industry cloud platforms add value to businesses?
-Industry cloud platforms add value by combining traditional cloud capabilities with customizable solutions to support specific verticals, making them more adaptable, supporting faster innovation, and allowing for quicker value capture.
What is an example of an industry cloud platform in finance?
-Goldman Sachs is partnering with AWS to offer an industry cloud platform called 'financial cloud for data', which allows clients to use the same AI tools and analytics that Goldman Sachs uses on its trading floor.
What is the predicted usage of industry cloud platforms by 2027?
-It is predicted that by 2027, more than 50% of enterprises will use industry cloud platforms to accelerate their business initiatives.
What is a superapp and how does it differ from a composite mobile app?
-A superapp is a platform that provides more personalized experiences through built-in miniapps covering a broad range of uses, unlike a composite mobile app which is simply a collection of different apps.
How does a superapp increase value for users?
-Superapps increase value by reducing friction throughout the user experience, leading to more engagement for customers, partners, and employees.
What is the predicted daily active user rate for superapps by 2027?
-It is predicted that by 2027, more than 50% of the global population will be daily active users of multiple superapps.
How does adaptive artificial intelligence differ from traditional AI systems?
-Adaptive AI differs from traditional AI systems by being able to revise its own code to adjust for real-world changes that weren't known or foreseen when the code was first written.
What is the predicted impact of enterprises building adaptive AI systems by 2026?
-By 2026, enterprises that build adaptive AI systems are predicted to have 25% more AI models in production than those that don't.
Why is sustainability important in the context of technology trends?
-Sustainability is important as it's not only about making the IT infrastructure and solutions sustainable but also using technology to deliver sustainable outcomes for the organization and customers.
What is the predicted responsibility of executives regarding sustainable technology outcomes by 2025?
-By 2025, it is predicted that 75% of executives will be responsible for sustainable technology outcomes, and 25% will have compensation linked to their sustainable technology impact.
Outlines
🌟 Strategic Technology Trends for 2023
The video script discusses four top strategic technology trends for 2023 that are driving organizational and digital transformation. The first trend is industry cloud platforms, which combine cloud capabilities with customizable solutions for specific industries like retail, insurance, and healthcare. These platforms enhance business capabilities, support innovation, and reduce redundancy. Goldman Sachs' partnership with AWS exemplifies this, offering clients an industry cloud platform for data. The script predicts that by 2027, over 50% of enterprises will use these platforms. It advises creating fusion teams of business technologists and IT stakeholders to apply cloud to business capabilities and to use industry cloud platforms to complement existing technology portfolios. The next trend is superapps, which provide personalized experiences through built-in miniapps, reducing user friction and increasing engagement. The script predicts that by 2027, over 50% of the global population will use superapps daily. Examples include Revolut, which disrupts financial services, and Walmart's Me@Walmart app for employee management. The trend highlights the need for businesses to adapt to digital-native and mobile-first experiences.
💡 Prioritizing Sustainability in Technology
The second paragraph emphasizes the importance of sustainability in technology. By 2025, it is predicted that 75% of executives will be responsible for sustainable technology outcomes, with 25% having their compensation linked to it. The mantra 'Sustainable by default' is introduced as a guiding principle for making IT organizations and their customers more sustainable. The paragraph suggests that whether the focus is on optimizing systems, scaling business, or leading digital transformation, sustainability must be a core consideration. Gartner offers actionable advice to help make informed and timely decisions regarding technology trends, ensuring that sustainability is integrated into all aspects of technology strategy and implementation.
Mindmap
Keywords
💡Industry Cloud Platforms
💡Superapps
💡Adaptive Artificial Intelligence
💡Sustainability
💡Digital Transformation
💡Strategic Technology Trends
💡Fusion Teams
💡AI Modeling
💡Graph Analytics
💡Decision Flows
💡Technology Investments
Highlights
Cloud platforms can be tailored to meet specific industry needs, enhancing business capabilities.
Industry cloud platforms combine cloud capabilities with customizable solutions for verticals like retail and healthcare.
These platforms are more adaptable, support faster innovation, and reduce redundancy.
Goldman Sachs partners with AWS to offer an industry cloud platform for financial data.
By 2027, over 50% of enterprises will use industry cloud platforms to accelerate business initiatives.
Create fusion teams to understand applying cloud to business capabilities.
Use industry cloud platforms to complement existing technology portfolios.
Superapps provide personalized experiences through built-in miniapps covering a broad range of uses.
Superapps reduce friction in user experience, increasing value and engagement.
By 2027, over 50% of the global population will be daily active users of multiple superapps.
The Revolut superapp disrupts traditional financial services by expanding its digital banking ecosystem.
Walmart's Me@Walmart app allows employees to manage work schedules and health assessments in one app.
Adaptive AI systems learn from and adapt to change, improving AI modeling in volatile conditions.
By 2026, enterprises with adaptive AI will have 25% more AI models in production.
Adaptive AI revises its own code to adjust for real-world changes not foreseen during initial coding.
Assess the readiness of decision flows for augmented or automated decision making.
Reengineer decision flows to make them flexible and capable of updating as more information is gathered.
By 2025, 75% of executives will be responsible for sustainable technology outcomes.
Sustainability in technology is about delivering sustainable outcomes for the organization and customers.
Gartner's advice helps make smarter and faster decisions regarding strategic technology trends.
Transcripts
Can cloud cater to your industry's
needs? What's so super about superapps?
How will technology drive
your strategic goals? The answers
matter to your tech investments.
Today we'll discuss how four
of the top strategic technology trends
for 2023 are driving organizational
and digital transformation today and
over the next five years.
The first trend is industry cloud
platforms.
Industry cloud platforms combine traditional
cloud capabilities with customizable
solutions to support specific verticals
like retail, insurance, banking,
healthcare and manufacturing. These
customizable solutions can add tremendous
value to your business capabilities.
They're more adaptable, support faster innovation
and let you reduce redundancy and
capture value more quickly. For
example, Goldman Sachs is partnering
with AWS to offer some clients
an industry cloud platform — financial
cloud for data.
Now those clients can use the same AI tools
and analytics that Goldman Sachs
uses on its own trading floor.
We predict that by 2027,
more than 50% of enterprises
will use industry cloud platforms
to accelerate their business initiatives.
Plan to focus on your industry
cloud platform strategy over the next year.
How can you start?
First create fusion teams of
business technologists and IT stakeholders
to foster enterprisewide understanding
of applying cloud to business capabilities.
Then, use industry cloud
platforms to complement and strengthen
your existing technology portfolio
rather than a full-scale replacement of
systems.
Make sure to create principles for
when to deploy cloud for optimization
vs. transformation of business capabilities.
Our next trend is about keeping up
with the digital-native and mobile-first
experiences.
Consumers want to order a pizza, do
their banking and start a group chat all
in the same app. And that means you need
to be ready for superapps. Superapps
aren't just composite mobile
apps. They're built as platforms
and provide more personalized experiences
through built-in miniapps that cover
a broad range of uses.
Superapps reduce friction throughout
the user experience, so they increase value
for a larger user base and provide
more engagement for customers, partners
and employees.
We predict that by 2027,
more than 50% of the global
population will be daily active users
of multiple superapps.
Over the next three years, more consumers
will engage through superapps across
industries like finance, retail
and healthcare, and workforce adoption
will gain even more traction.
Consider these examples:
The Revolut superapp is disrupting
traditional financial services by expanding
its digital banking ecosystem into
businesses where small and midsize companies
and freelancers can offer their services.
Walmart's Me@Walmart app
allows employees to manage
their work schedules, request time off,
swap shifts and attest to health assessments
all in one app.
Our third trend is adaptive artificial
intelligence. AI systems that
learn from and adapt to change
may sound like science fiction,
but we're using them already to improve
AI modeling in dynamic and volatile
conditions like supply chain disruptions.
We predict that by 2026,
enterprises that build adaptive
AI systems will have 25%
more AI models in production
than enterprises that don't.
So how does it work? Unlike traditional
AI systems, adaptive AI can
revise its own code to
adjust for real-world changes that
weren't known or foreseen when
the code was first written.
Adaptive AI learns by applying
graph analytics to retrain
AI models, allowing applications to
adapt more quickly and drive
better decision outcomes.
Adaptive AI systems require
that your current processes be reengineered,
and that's not gonna happen overnight.
These steps will help you get started —
First, assess the readiness
of decision flows for augmented
or automated decision making.
Then, build your foundation by complementing
your current AI implementations instead of a complete
overhaul. Finally, reengineer
decision flows to make them flexible
and capable of being updated as
more information is gathered.
Whatever technology trends you're focused
on, you'll need to prioritize sustainability.
Sustainability isn't just
about your IT infrastructure and solutions.
It's about how you use technology
to deliver sustainable outcomes
for your organization.
We predict that by 2025,
75% of executives will
be responsible for sustainable technology
outcomes, and 25%
will have compensation linked to
their sustainable technology impact.
Sustainable by default
must be your mantra and objective.
That means making your IT organization more
sustainable but also using
IT to help the organization, as
a whole, and your customers to
become more sustainable.
Whether you're looking to apply strategic technologies
to optimize your systems, scale your business
or pioneer digital transformation,
Gartner's actionable, objective advice
will help you make smarter and faster
decisions today, tomorrow
and into the future.
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