By 2026, 30% of new applications will use AI to drive personalized adaptive user interfaces, up from less than 5% today.*
* “Demand Grows for Intelligent Applications Powered by AI,” Gartner, Jackie Wiles, 2023
This forward-looking data is driven by an increasingly evident reality that artificial intelligence is spreading to every corner of organisations and everyday life in general.
But focusing on businesses and administrations, these have been the fundamental changes brought about by the advent of AI:
- Reshaped industries.
- Created new business opportunities.
- Fundamentally changed what businesses can accomplish with software and the expectations of thechnology.
Ultimately, the reality that artificial intelligence is changing organisations is undeniable, and many technology leaders are asking: how can AI be applied to digital services and products and improve our most critical applications to take advantage of smart applications?
Smart applications are those that use technologies such as AI, machine learning, natural language processing (NLP) and data analytics to enhance their capabilities and deliver efficient and personalised experiences to end users. Some of the advantages of smart applications are:
- Providing customers with next-gen AI-powered app experiences.
- Amplifying employee capabilities and empowering developers to innovate.
- Delivering new products that deepen customer engagements faster.
- Scaling your business and reducing risks with future-ready technology.
Today, both organisations that are already using artificial intelligence (AI) and those that have not yet started must recognise the urgency of integrating it into their applications. AI not only improves efficiency and personalisation, but is also key to staying competitive in a rapidly changing technology environment. If you don’t take advantage of it now, you risk falling behind competitors who are already optimising their processes, products and services through AI-powered solutions.
Now is the time to innovate and embrace this technology to ensure future growth, so here are 7 opportunity to build or modify your AI-powered applications:
1- Connected smart products
It is essential to have a common, structured and governed data environment, taking into account the elements of the business where products and devices are connected to interact and exchange data intelligently.
Developers can use a platform such as Azure Kubernetes Services to build and modernise cloud-native applications that support their smart cloud-connected products. In addition, databases, such as Azure Cosmos DB, can be used to ingest, process and analyse data at scale from devices and run through Azure OpenAI Service to provide end users with personalised experiences and recommendations.
2- Transaction processing at scale
Some organisations need to process millions or billions of transactions per day while delivering fast response times, maintaining system reliability and consistency, and scaling up as demand increases.
Techniques for achieving information transaction processing at scale include database sharing, data replication, distributed transactions, caching, and the use of high-performance hardware or software.
Low-code solutions enable organisations to simplify the development of transactional applications and get them to market faster. Transaction data can be stored in Azure database services such as Azure SQL and Azure Cosmos DB and with Azure AI to help identify anomalies and security threats in real time.
3-Fraud detection
Organisations need to be more vigilant than ever – it is common to see daily news of cyber-attacks on large enterprises or even government institutions.
As security demands more attention, AI is increasingly being adopted to identify patterns, anomalies or suspicious activity in real time.
Advanced AI algorithms trained by Azure services, such as Azure Machine Learning, can analyse large data sets and identify fraudulent activity. In addition, Azure AI services, such as Azure AI Document Intelligence, help identify deviations in user behaviour and transaction patterns to detect potential fraud.
4-Service and support
AI technology can improve customer service interactions and processes with chatbots and virtual assistants, voice recognition and self-service support portals.
Azure database services, such as Azure Cosmos DB, store customer and user data so that service representatives can access information faster and easier with AI with simple search and filtering capabilities.
Our own solution, LIA, built with generative AI, is much more than a virtual assistant and helps simplify tasks, providing intelligent responses and offering new opportunities for communication.
5-Information discovery
Information discovery can be a competitive advantage if the right tools are used. These advantages include more accurate and relevant search results, up-to-date content summaries, content generation, knowledge extraction and organisation, trend and sentiment analysis, and automated research and report generation.
Azure services such as Azure AI Search and Azure AI Document Intelligence enable users to quickly find the information they need using machine learning capabilities. In addition, Azure AI Search enables developers to incorporate search capabilities into their applications.
6-Personalization
With artificial intelligence, you can analyse your customers’ behaviour on your website and social media to better understand their preferences and buying habits. By continuously analysing data in real time, AI algorithms can identify patterns of customer behaviour and preferences, allowing marketers to tailor their messages in a precise and timely manner.
This personalisation capability increases the relevance of ads, enhancing the user experience and increasing conversion rates.
Azure services such as Azure Machine Learning can then create a persona based on past behaviour to align with offers or promotions available to present to the customer. Developers can add filters based on previous interactions with the customer and any known preferences for a personalised experience. known preferences for a personalised experience.
7-Build your own copilot
As the need to innovate and deliver unique experiences to both customers and employees increases, chatbots offer organisations the opportunity to go beyond traditional chatbots and apply them internally as well.
AI-enabled chatbots are a new generation of intelligent applications that enable rich, contextual interactions and deliver insights from large amounts of business data.
If you want to read about the benefits of applying AI in these 7 ways, don’t hesitate to check out our Microsoft Azure Partner’s report “App innovation unleashed: seven opportunities to innovate with intelligent, AI-powered Apps” It will help you learn how to modify your Apps with AI.
However, if you would like to know more about how we are helping customers apply AI to improve their applications, processes and change their data culture, please do not hesitate to contact our team.
Luce IT, your trusted technology innovation company
The history of Luce is a story of challenges and nonconformity, always solving value challenges using technology and data to accelerate digital transformation in society through our clients.
We have a unique way of doing consulting and projects within a collegial environment creating “Flow” between learning, innovation and proactive project execution.
In Luce we are going to be the best offering multidisciplinary technological knowledge, through our chapters, generating value in each iteration with our clients, delivering quality and offering capacity and scalability so that they can grow with us.
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