What is generative AI, and why is it so popular today?
Modern AI systems are becoming increasingly sophisticated, evolving into a range of artificial intelligence models and technologies, including natural language processing, computer vision, machine learning, deep learning, the Internet of Things, big data engineering, and others. A prominent place in this list is occupied by generative AI applications and systems.
Generative AI refers to software that excels at new content generation after an out-and-out input data analysis. How does generative AI work? Having Generative Adversarial Networks (GANs), transformers, and variational auto-encoders at their core, generative AI models emulate human creativity by sifting through tons of audio, video, image, or text data, identifying patterns in them, and producing similar content. This capability of the technology stimulates companies across multiple industries to leverage generative AI solutions, enabling businesses to reap numerous boons as an outcome.
Benefits of generative AI technology for businesses
The assets of making generative AI software an integral element of an organization’s digital landscape include:
Content generation automation
The main mission of generative AI is to produce high-quality content of various types quickly and efficiently. As a result, companies streamline processes of generating marketing materials, blog articles, and other content items, across which the consistent brand style and voice are maintained.
Workflow automation
Many employees’ shop floor responsibilities are recurrent and rather mechanical. Generative AI can automate routine tasks and free the workforce to pursue more creative and complex activities.
Process optimization
By entrusting multiple tasks to machines, companies optimize processes in their internal pipeline, minimize paperwork, and enhance operational efficiency across the organization.
Flexibility
Since you train your ML algorithms on your company’s unique data, you can create generative AI products customized to meet the organization’s specific requirements and honed to achieve particular business goals.
Time and cost efficiency
With AI swiftly and competently performing its assignments, an enterprise increases its productivity and reduces OPEX simultaneously. This allows companies to gain a competitive advantage over their less tech-savvy rivals.
Data-driven decision making
AI performs high-quality data analysis, delivering actionable insights to managers and rank-and-file employees. As a result, they identify trends, patterns, anomalies, and bottlenecks and make strategic data-driven decisions that improve the company’s efficiency in many pipeline aspects.
Get a free consultation on your project!
Our generative AI consulting services
DICEUS provides a wide range of consulting generative AI services that will maximize the value of this technology for your business.
Can’t find a service you are looking for?
Explore all servicesWant to discuss your project?
Contact usSteps of generative AI consulting
Our qualified generative AI consultants follow an efficient 4-step roadmap of generative AI consultancy service delivery.
Why choose DICEUS
To obtain qualified advice in any field, you should hire competent experts with a deep understanding of the area of knowledge you need help in. Why is DICEUS a perfect choice for such a partner?
- Long presence in the IT outsourcing market. Our 14+-year experience in the high-tech realm has allowed us to accumulate extensive expertise and numerous practical skills that our specialists apply in projects they deal with.
- Proficiency across diverse industries. We have successfully completed projects for banking, fintech, healthcare, retail, insurance, and construction organizations, enabling us to discover the nuances of pivotal workflows in those verticals.
- Individualized approach to each client. We dig deep into our customers’ current state, business requirements, and industry trends to offer tailored solutions to their problems and meet partners halfway concerning cooperation conditions and schedules.
- Prioritizing ethical AI considerations. Creating responsible AI systems is the chief concern of our engineers. That is why, while consulting on generative AI strategy development, they make ethics a centerpiece, ensuring the AI model’s transparency, accountability, security, and fairness.
Our case studies
About DICEUS
Our achievements
What customers say about DICEUS
Elena Markova
Board Member, UNIQA Ukraine
We were impressed by the depth of the UX analysis they did in terms of our customer’s research, buyer persona creation, user journey mapping, etc. All the information like research findings, for instance, was presented in a clear form (presentations, Miro boards, clear infographics) so it was quite easy to understand what we need to build and why.
Antoaneta Karagyozova
CPSO, Fadata
We are happy with DICEUS’ software implementation services. The team’s workflow is highly effective and professional in all aspects of the engagement. All clearly understand what goals we’d like to reach and do their best to do that as efficiently as possible. Overall, the partnership has been successful.
Phil Reynolds
CEO, BriteCore
The DICEUS team has consistently supported the BriteCore team for many years. Their engineers are well-educated and highly invested in the ongoing quality of the BriteCore platform with sustained relationships that extend over four years. We appreciate everything the DICEUS team brings to the table as a development partner.
Frequently asked questions
What are generative AI consulting services?
The scope of qualified generative AI consulting services provided by high-profile experts in the field includes AI user case identification, tech stack assessment and selection, generative AI integration, LLM development, data engineering, compliance and security consulting, no-code and AI ethics consulting, training consultancy, and support and maintenance.
How can generative AI consulting elevate enterprise success?
By hiring competent generative AI consultants, you can step up content generation, implement workflow automation and pipeline process optimization, reduce operational expenditures, enhance data-driven decision-making, improve and personalize customer experience, and sharpen your competitive edge.
Which use cases can be addressed with generative AI?
Generative AI software finds multiple applications across various industry verticals, being leveraged for such use cases as code generation, product design and development, sales and marketing personalization, workflow automation, graphic and video design, fraud detection and risk management, customer support, training data generation, and more.
What is the step-by-step approach to generative AI consulting?
First, the consultants validate the business concept behind the implementation of a generative AI solution. Next, they opt for the optimal tech stack for developing the product. Then, they advise on checking the feasibility of the solution’s functioning and its compatibility with the customer’s digital environment. Finally, a straightforward project plan is devised, where the required resources, time, and budget are indicated.
