Optimally exploiting the business benefits of artificial intelligence
AI consulting from valantic
valantic has identified numerous AI application scenarios from sales, marketing, production and HR that provide companies with concrete added value. From personalized medicine to intelligent assistance systems – AI opens up a world of possibilities. Find out how AI drives innovation and increases efficiency.
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Contents
- 01 Pioneering AI strategies
- 02 AI application scenarios
- 03 Is your company ready for the AI sensation?
- 04 Data Science: Optimizing products, services and processes
- 05 GenAI & Conversational AI: The interface between human and machine
- 06 SAP business applications with artificial intelligence
- 07 Automating business processes with RPA
- 08 Your contact
Pioneering AI strategies
Realize time, cost and efficiency gains
AI and AI strategies are already in practical use in the business and everyday lives of most managers and employees without them actually realizing it… for not everything that has AI in it also has AI on it. We’re accompanied by AI throughout the day without consciously noticing it: This can be anything from the “Good morning” of the smart speaker, or the cell phone in your pocket, to the well-deserved after-work chill-out on the couch when you indulge in a little online shopping.
Ready to reap the benefits of AI for your business? Contact us today for a customized AI consultation and discover how Artificial Intelligence can shape your future!
>554 bn. $
Revenue for AI worldwide
38%
Number of German companies working with AI.
73%
Around three quarters of Germans see AI as an opportunity.
AI application scenarios from sales, marketing, production and HR
Artificial intelligence is currently one of the most promising subdomains of computer science, mimicking human decision-making structures and striving to automate intelligent behavior. AI projects aim to cut time and costs, boost efficiency, enhance the customer experience and even establish new AI-based business models.
To best realize this value add, AI projects must be embedded into a long-term, company-wide corporate strategy. Practicable AI strategies are already leveraging concrete added value for companies today, with successful, real-life examples from the business world providing impressive proof of this.
Which specialist areas and processes benefit from AI?
As banal as the answer may sound, it is: Every one and everywhere. No in-house programmers are needed to use AI. Many off-the-shelf AI solutions and applications are already available on the market and can be adapted to your organization’s unique needs, making your entry to the AI world a quick and easy one.
Below you can see AI application scenarios from sales marketing, production and HR which are already generating concrete value add today:
Sales
- Automated mediation of sales leads
- Optimized pricing
- Real-time recommendations for special customer groups using pattern recognition
- Automated customer service agents that understand natural language and refer information
- Cross- and up-selling by determining customer propensity for system updates
- Automated opportunity scoring
- Business closure forecasts
Marketing
- Customer service chatbots
- Expediting internal reporting
- Increasing advertising performance
- Improving content marketing
- Optimizing / assistance in the preparation of text content
- Real-time customer behavior analytics
- Optimizing the understanding of the customer
- Customized newsletters that take usage and purchasing behavior into account
Production
- Predictive maintenance based on anticipated machine failures
- Collaborating and context-aware robots
- Maximizing production yield
- Automated quality testing
- Simplifying human-machine communication
- Intelligent data analytics for detecting irregularities with the help of using operating data and sensors
- Image recognition for production safety
HR
- Digital recruitment assistants, e.g. video interview tools for simultaneously testing several applicants
- Profile analyses for staff further development measures
- Career assistants that coach staff and recommend bespoke further training programs
- Applicant selection support, applicant appraisal and reporting
- Preparing training documentation and materials
White paper: Using business benefits of artificial intelligence to the optimum
Is your company ready for AI success? Find out how your company can benefit from new service models and efficiency potential and how you can use AI successfully.
AI consulting and AI strategy
Is your company ready for the AI sensation?
The path to a data-driven business that works with intelligent machine support in all areas and processes is not a sprint, but typically split into the four phases: (1) Kickoff toward AI, (2) Targeted experimentation, (3) Establishment of enterprise-wide AI expertise, and (4) AI expertise becomes embedded in the corporate DNA.
Two core competencies are crucial in each of these phases and successively refined: (1) The analytical core competence of your organization includes high-quality data, adequately qualified employees (such as data scientists and AI experts), and AI tools optimally aligned with your business goals and application scenarios; and (2) these analytical competences must be complemented by business competence – your AI strategy should be endorsed and promoted by C-level management and all business units.
Companies that are in the start-up phase will generally have kicked off an initial AI initiative, but have not yet identified AI deployment scenarios across the business. A meaningful level of AI competence and AI expertise has still to be established within the company. The focus is on quick results.
In Phase 2, companies start to build up core analytic capabilities centering on data, AI staff and AI tools. Data scientists are recruited, and initial pilot projects have delivered promising results. The company looks for further AI application scenarios that promise real value add, now also involving the business divisions in these endeavors.
High-quality data and AI algorithms have become fixed elements of the corporate strategy. Making data-driven decisions has become the new modus operandi in all business units, and using the new AI tools an integral part of everyday work.
AI self-services and analytics self-services are accessible to all employees. Staff are trained in how to use them, have confidence in the forecasts generated by the systems, and perceive them not as a threat but as an aid. A culture of learning has been established. Security and compliance regulations for using AI have been defined and are binding throughout the company.
Herald the starting shot with us!
valantic helps you to proceed strategically and choose the right initial step. With the identified action areas as the starting point, we first accompany you in updating your data structures to create a suitable basis for transformation; this is followed by the dedicated choice of suitable processes that generate the fastest value add and serve as the first pilot project to produce concrete results. valantic’s AI strategy consultants support your business in every phase of the AI lifecycle. If you’d like to learn more, we’d be happy to offer you with a non-binding AI consultation.
Optimizing products, services and processes with Data science and AI
Maximizing added value and efficiency
Data science is indispensable for securing competitive advantages, but is not yet fully utilized in many companies. The aim is to extract knowledge from various data sources in order to recognize patterns and make predictions. By using data science, products, services and processes can be optimized, customer satisfaction improved and fraudulent activities identified.
Customized data science solutions and comprehensive AI consulting from valantic
valantic develops individual use cases and offers holistic consulting from the identification of relevant use cases to the productive operation of machine learning models. Together, we can define starting points and create added value by benefiting from our many years of experience with many customers.
Your guide to a successful Data Science Projekt
This white paper shows how you can identify use cases in a few steps and transfer them to your own company: From initial hurdles to practical examples.
GenAI & Conversational AI
The interface between human and machine
The transformation of human-technology interactions is being driven by intelligent dialogue systems that enable natural conversations, improve customer experiences and optimize business processes. From virtual assistants to generative chatbots, they offer innovative solutions for efficient and user-centered communication.
The power of Generative AI (GenAI)
In today’s dynamic business world, generative AI and classical AI are transforming the landscape in real time. They use data and behavioral patterns to generate content at lightning speed. This technology is not magic, but the result of our and your input as experts. Generative AI takes on repetitive tasks to save time and resources and increase efficiency. In a constantly evolving digital world, innovative solutions are the key to staying one step ahead of the competition. That’s why we support companies with the transformative potential of (Generative) AI. Learn more about how Generative AI can support your business. Stay ahead of the curve.
Conversational AI: using chatbots and voicebots profitably
Chatbots and voicebots use Natural Language Processing (NLP) to understand natural language and respond appropriately, with chatbots using written language and voicebots using spoken language. They enable high efficiency gains and are used in various areas such as customer service, sales, healthcare, education and finance by helping users with tasks such as scheduling, product advice and providing information.
valantic supports companies with extensive expertise and customized consulting to successfully implement and use Conversational AI.
White paper: Yay, my bot understands me!
How create a new customer experience with Conversational AI and Chatbots?
Using SAP business applications more successfully with artificial intelligence
The value of critical business applications rises for users when they are enhanced with AI. SAP offers a comprehensive portfolio of AI solutions to leverage this value for your organization. These range from embedded AI, intelligent robotic process automation and conversational AI / chatbots to individual AI business services with which customers can use business processes via the “AI as a Service” procurement model.
Maximum efficiency through intelligent SAP SaaS applications in the cloud
- SAP SaaS applications from the cloud offer more and more embedded intelligence that only needs to be activated to provide you with direct value add.
- Conversational AI enables customers and employees to use natural language to communicate with your company in a familiar and straightforward manner
- Intelligent robotic automation uses machine learning, conversational AI and robotic process automation to help relieve your workforce of repetitive and monotonous tasks.
- AI business services let you solve specific business problems in a various areas using reusable, off-the-shelf AI services such as image recognition and classification.
AI consulting from valantic: Intelligent SAP solutions for sustainable success
In AI consulting, valantic places special emphasis on the use of artificial intelligence as a tool for solving problems. As a process and technology expert, valantic supports you with a strict focus on usable results in the improvement or new implementation of intelligent processes. The benefits that can be realized with AI include more informed decisions, greater efficiency, reduced costs, faster value creation and better customer experiences.
Significant efficiency improvements with artificial intelligence
Automating business processes with RPA
valantic regards robotic process automation (RPA) as a bridge technology that allows significant value add to be generated relatively quickly and economically in a matter of weeks, while simultaneously establishing a solid foundation for more advanced hyperautomation technologies at the company. Full automation is achieved in three steps:
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1
AI consulting: Partial automation (Attended Automation)
The RPA bot acts on instruction and assists the employees. Both parties engage in a cooperation work model in which humans and bots work together as a team in which both sides benefit. The bot is responsible for the standardized work steps.
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AI consulting: Full automation (Unattended Automation)
In this step, the RPA bot works entirely autonomously and responds to predefined trigger events such as the arrival of an email containing e.g. specific content or certain trigger words. The bot performs activities and processes fully automatically without human interaction, even when employees are logged out of the system.
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AI consulting: RPA and conversational artificial intelligence
The RPA bot is enhanced with artificial intelligence and language recognition algorithms and able to handle even complex situations appropriately. Where artificial intelligence is supplemented by self-learning neural networks, the bot becomes increasingly confident over longer periods of operation and draws on experience gained from already successfully completed activities to handle the current tasks.
Humans nevertheless remain responsible for quality assurance and for formally accepting the results, and intervene whenever the results are unsatisfactory. valantic cooperates with top technology providers to find the fastest and best bespoke solutions to realize your company’s automation and business goals.
Your contact
You’d like to enjoy the maximum benefits of artificial intelligence, machine learning, business analytics and neural networks? valantic’s AI strategists would be happy to offer you a free and non-binding AI consultation.
Martin W. Vierrath
Senior Sales Manager
valantic