Unlocking New Possibilities
Applied AI refers to the practical implementation of artificial intelligence technologies to solve real-world problems and enhance business processes. It involves taking AI concepts and algorithms out of the theoretical realm and putting them to work in specific, practical applications across various industries. Applied AI focuses on creating tangible value by addressing concrete business challenges, improving efficiency, and driving innovation.
At valantic, we harness the power of (Generative) AI such as Applied AI to drive customer success through our comprehensive approach built on four key success factors:
AI Leadership & Vision, AI Implementation & Synergy, Talent and Empowerment, and Governance and Infrastructure. Our methodology ensures a strong foundation for AI adoption, seamless integration of AI solutions, and the development of AI-empowered teams within organizations. We identify and implement business-critical AI use cases, leveraging our expertise to set up AI labs and foster cross-functional collaboration. By focusing on talent acquisition, development, and empowerment, we enable companies to fully embrace AI as a valuable asset across all levels of the organization. Our approach also emphasizes the importance of robust governance structures and ethical considerations, ensuring a trustworthy and sustainable AI implementation that transforms businesses into AI-driven powerhouses.
The Rise of Applied AI
Find out which digital trends and technologies are shaping the future. The valantic study “Digital 2030” sheds light on current developments and provides insights into how companies can leverage these for their success.
Learn how valantic can support your business by using Applied AI:
At valantic, we use the many opportunities of Applied AI to guarantee the best outcome for our customers. We have developed four different success factors that we deem necessary to create and establish a perfect use case of Applied AI. Furthermore, we have identified 14 Applied AI Clusters that turn companies into AI-empowered organizations.
AI Leadership & Vision
To create a successful Applied AI project, a perfect base for AI usage needs to be generated. A visible support by enablers within the company as well as a Data & AI vision with clear & specific objectives is essential to guarantee an effective and lucrative AI project.
AI Implementation & Synergy
By identifying key AI use cases as well as fostering cross-functional teamwork and successfully prototyping in an AI Lab it is possible to perfectly implement Applied AI in a company structure and leverage the best synergy effects. To create this scenario, a client needs the ability to identify as well as implement business critical AI hero use cases – an important task our experts are more than happy to help with. But no use case is really useful without the collaborative effort of all relevant team members working on business, tech or data. Once a core team has been set up, an AI lab that is capable of exploring and realizing ideas in an agile and efficient way is needed. Again, this is where our consultants come into play, as we help setting up an AI lab designed specifically to explore any and all ideas.
Talent and Empowerment
Despite AI being the future of labor, it is the people that drive and implement. Applied AI solutions that are relevant for a company’s success. Acquiring motivated and skilled AI talent and developing them into experts is a key process to profit from Applied AI. Furthermore, all staff needs to be empowered to adopt AI as a relevant co-worker. Not only do they need to be trained in the usage of AI tools, but also their skills need to be refined to be able to find solutions using AI. Our experts will guide the staff on their way to work smarter and more efficient with Applied AI.
Governance and Infrastructure
The introduction of governance structures and the management of ethical and legal implications are a cornerstone to building a robust data and tech foundation. Several actions are needed to drive AI enablement in an organization. Being on top of ethical and legal AI implications is as important as building a high quality and trustworthy data foundation. A modular and tech agnostic Applied AI architecture can only be built through the interaction of a comprehensive skillset and clear governance structures.
Now that the success factors are defined, let’s take a look at what actually makes an AI empowered organization? We have defined 14 relevant Applied AI clusters
Personalized Marketing
Effective marketing messages & spend based on user behavior analysis
Automated Customer Dialogue
Chatbots & virtual agents to handle requests and provide support
Media Content Generation
Generation of creative content (Image, Text, Sound, Video) for media publication
Asset Management & Maintenance
Remaining useful life prediction & automated asset operations
Product & Application Development
Automated requirements, engineering & SW delivery
Robotics & Smart Products
Automation of product functions through interplay of sensors, controls & software
Quality Assurance
Sensoric inspection to identify faulty products & assure quality
Supply Chain Optimization
Demand prediction, inventory planning, optimized logistics & operations
Speech Operations
Understanding of spoken language in operating procedures like call center, machine operations and more.
Better Prices
Context-aware supply prices; dynamic & demand-based market pricing
Fraud Prevention
Anomaly detection, identification & handling of fraud attempts in realtime
Financial Planning & Risk
KPI prediction & planning, driver analysis, risk identification & management
Automation of Documents & Data
Handling of information from vast quantities of documents & data
Personal Management
Automated HR admin & effective HR development measures
By successfully implementing Applied AI, companies can achieve significant competitive advantages through improved operational efficiency, enhanced decision-making capabilities, and the ability to offer innovative products and services. This can lead to cost savings, increased revenue streams, and improved customer satisfaction. However, it’s crucial for companies to approach Applied AI strategically, focusing on areas where it can provide the most significant impact and aligning AI initiatives with overall business objectives.
Let our experts guide you to implement and execute Applied AI for maximum output. Contact us now.
Laurenz Kirchner
Partner & Managing Director
Division Digital Analytics & Strategy
Study Digital 2030: Learn all about digital trends and technologies that will shape your business
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