The intersection of artificial intelligence (AI) and digital advertising to create truly engaging experiences across global audiences and cultures is reaching an inflection point. Companies everywhere are leveraging powerful trends in AI, machine learning and apps for performance marketing.
Today’s AI and machine learning technologies are allowing apps to understand speech, images, and user behavior more naturally. As a result, apps with AI capabilities are smarter and more helpful, and companies are using these technologies to create tailored experiences for customers, regardless of language or background. AI is leveling the playing field by making advanced data tools accessible to anyone, not just data scientists.
Many organizations are instituting internal restructuring with a focus on enhancing the developer experience. The aim is to leverage the full potential of AI for smart applications, providing universal access to advanced tech tools, while adapting to changes in app store policies. Engineering teams are spearheading the development of self-service platforms managed by product teams. The primary objective is to optimize developers’ workflows, speeding up the delivery of business value, and reducing stress. These changes improve the developer experience which can help companies retain top talent.
From an overall organizational structure perspective, in pursuit of a more efficient and effective approach, organisations should focus on enhancing developer experiences, leveraging AI for intelligent applications, democratizing access to advanced technologies, and adapting to regulatory changes in app marketplaces.
Reimagining the Future
The software and applications industry is one that evolves particularly quickly. The app market now represents a multibillion-dollar sector exhibiting no signs of slowing. This rapid growth and constant change presents abundant opportunities for developers to build innovative new applications while pursuing their passions. For app developers, monitoring trends provides inspiration for maintaining engaging, innovative user experiences.
As AI integration increases, standards will develop to ensure AI can automatically interface between applications. It will utilize transactional and external data to provide insights. Applications will shift from set features to AI-driven predictions and recommendations tailored for each user. This advances data-driven decision making and transforms the experience for customers, users, teams, and developers.
Democratizing access to generative AI across organizations has the potential to automate many tasks, lower costs and create new opportunities. It changes the competitive landscape by making vast knowledge more accessible to anyone through natural language. Increased access to information is a big trend.
Changes in regulations are also allowing third-party app stores on many operating systems. This reflects a shift that provides developers new opportunities and challenges as larger publishers set up their own markets.
Trends Transforming How We Work
Intelligent Applications: With increasing AI integration, standards will develop to ensure AI can automatically interface with other applications. It utilizes transactional and external data to provide application insights. Shifting from procedural features to AI-driven predictions and recommendations personalized for users advances data-driven decision-making, transforming customer, user, product owner, architect, and developer experiences.
Generative AI Democratization: Democratizing access to generative AI across the organization. With broad task automation potential, it reduces costs while fostering growth opportunities. This transforms enterprise competitiveness and facilitates democratized information and skills access across roles and functions. Enabling natural language interface access to vast knowledge equitably is key.
Third-Party App Stores: Regulation changes may allow third-party app stores on operating systems, anticipated to increase larger publishers’ establishment in these markets. This reflects an evolving app store ecosystem with new opportunities and challenges for both platform operators and developers.
AI can help marketers think outside the box to find those gems that standard sources aren’t turning up. Exercise AI’s power to maximize your marketing campaigns and connect with customers worldwide.
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ABOUT THE AUTHOR
Ethan Lewis, CTO at Kochava
As the Chief Technology Officer at Kochava, Ethan leads the development and implementation of cutting-edge distributed ledger solutions that enable secure, transparent, and efficient transactions for digital advertising. With over 10 years of experience in software engineering and architecture, Ethan has a strong background in Golang, Rust, Java, Python, and C++, as well as cloud computing and shell scripting.
At Kochava, Ethan oversee the engineering and product teams, working closely with the CEO and CFO to align the projects with the strategic initiatives and vision of the company. He also manages multiple remote and local developers, creating technical specs, and project timelines, and leading scrums.
Some of the projects Ethan has designed and led include a byzantine fault-tolerant consensus protocol, a web assembly runtime, a peer-to-peer network library, a peer-to-peer membership library, and a smart contract SDK. He is passionate about solving complex problems and delivering innovative solutions that empower our clients and partners.