Embark on the concluding chapter of our exploration into the changing trends of 2024.
In this second installment, we dissect the deep impacts of Industry Cloud Platforms, Intelligent Applications, Democratized Generative AI, Augmented Connected Workforce, and the major shift with Machine Customers.
Join us for a comprehensive journey through the ever-evolving realms of technology. This journey is shaping the future.
Industry Cloud Platforms (ICPs) are technological powerhouses.
They blend Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS) to create custom solutions for various industries.
With a projected surge to 70% adoption by 2027, ICPs are game-changing forces.
They address long-standing market gaps and introduce tailored, industry-specific solutions.
This section explores the modular approach of ICPs.
It accelerates cloud adoption and supports a shift into ecosystem clouds.
A recent Gartner survey reveals a 39% adoption rate in North America and Europe.
Approximately 17% of organizations are considering deployment by 2026.
Gartner predicts that by 2027, over 50% of enterprises will use ICPs to accelerate business initiatives.
The modular and composable features of ICPs act as triggers for agility.
They offer industry players a more adaptive way to manage workloads.
Beyond supporting traditional users, ICPs are evolving into collaborative spaces.
These spaces go beyond industry boundaries and reshape the business landscape of 2024.
Dive into the realm of Intelligent Applications.
Here, consumer and business apps connect with AI and extensive data networks.
Gartner foresees a significant shift and predicts that by 2026, 30% of new apps will include AI-driven adaptive interfaces.
Generative AI emerges as the driver, infusing apps with advanced intelligence.
These apps learn and adapt.
They autonomously generate outcomes and streamline insights for business users.
They do this by integrating transactional and external data within apps.
From predictive analytics to personalized recommendations, AI supports adaptability, automation, and real-time decision-making.
The rise of intelligent apps is driven by innovation, reduced development costs, and increased business value.
Technology providers integrate intelligence for competitive differentiation.
This drives market uptake.
As the cost to build intelligent applications decreases, more providers join the space.
Independent software vendors are becoming key players.
High-tech leaders should build strategic decision models.
They should also explore revenue potential within their customer base and reshape the application landscape.
We now enter the era of Democratized Generative AI.
The creation of new content becomes accessible to all, changing how information is accessed and how skills are learned.
Gartner predicts that by 2026, over 80% of enterprises will use generative AI APIs and models.
Generative AI, with its user-friendly accessibility and wide availability, levels the playing field.
It enhances productivity, efficiency, and innovation across roles and business functions.
However, this democratization introduces both benefits and risks.
It increases workforce productivity but also raises concerns about losing confidential data and misuse.
GenAI models, tools, and apps—now accessible as cloud APIs—transform the development landscape.
This access empowers developers to build applications without managing complex models.
The democratization of Generative AI is a major force.
It reshapes enterprise landscapes and redefines how businesses operate and compete.
Enter the Augmented Connected Workforce.
It is a strategic powerhouse that optimizes human potential through intelligent technology, analytics, and skill improvement.
Gartner predicts a major shift.
By 2027, 25% of CIOs will use these initiatives to reduce time to competency by 50% for critical roles.
Starting this journey requires strategy.
Prioritize time to competency.
Form a cross-functional program with leaders from IT, HR, sales, customer service, and supply chain.
Craft employee experiences enhanced by intelligent technology.
This technology reshapes how work is done.
Machine customers—non-human economic actors—represent a major shift in commerce.
More machines can act as buyers than people worldwide.
This era has already begun, with more than 9.7 billion IoT devices in existence.
Gartner predicts that by 2027, 50% of people in advanced economies will have AI personal assistants.
This highlights the rapid growth of machine customers.
Executives must collaborate to prepare for this shift.
Legal, IT, marketing, HR, supply chain, and revenue leaders all play essential roles.
They must frame risk-managed engagement strategies.
They must also build machine-friendly platforms, rethink customer relationships, and assess organizational impact.
Machine customers differ at the core from humans.
They make decisions logically, without emotion.
Businesses must understand and adapt to these dynamics.
This adaptation will be essential for long-term success.
As we close this two-part series on 2024 tech trends, we see a dynamic evolution from Industry Cloud Platforms to Machine Customers.
By embracing intelligent applications, democratized AI, and augmented workforces, businesses navigate a landscape where innovation meets responsibility.
The rise of machine customers marks a major dawn.
If you want to get ready for this new era, contact us: info@bowriversolutions.com.