AI Consulting Company – we are using AI technologies to improve your business
Discover new opportunities to develop your product using AI consulting services and boost business outcomes with customized solutions
Addepto will develop AI-driven services that will enable your company to take full advantage of the gathered data. Thanks to AI Consulting, you will gain valuable business insights that will lead to the automatization of processes and an increase in revenue.
Artificial intelligence – consulting in the field of AI solutions
Addepto offers a unique AI consulting service which will help you realize how many opportunities come from implementing AI solution into your business. Artificial Intelligence influences most of the industries, among the most popular are: retail, eCommerce, manufacturing, finance, healthcare, marketing, and gaming sector.
The biggest advantages of AI are self-learning capabilities and scalability – it gives SaaS applications the ability to use algorithms for thousands of customers. Due to the fact that AI learns the history of all users, it gives amazing opportunities for the Marketplace. One of the examples is using a recommendation system based on the preferences of each individual person.
Addepto uses advanced AI algorithms, such as Random Forest, XGboost, Support Vector Machines (SVM). For tasks including Image or Text processing – Deep Learning algorithms are now very successful. Some of them are Convolution Neural Networks and Recurential Neural Networks. Thanks to automatically choosing the most important features, AI Solutions can help solve the most difficult challenges of your business.
AI as a service
How We Work
- Discover and feasibility study
First, we do our best to understand our customers and their needs. We analyze where there is room for improvements and discuss various high-tech solutions that would be the most effective.
This is a stage on which we closely cooperate with our client’s team, get access to crucial data and exchange information on a daily basis. We want to make sure that the project we are working on together is going to be an investment that will quickly pay off and will keep on bringing additional value in the future.
2. Building a prototype
At this stage, we already have reached an agreement and we now focus on making an idea come true. Our team prepares a complex plan, divides tasks and creates a timetable. Then, we build a prototype that resembles our main goal and analyze it with our client to agree on details.
Once everyone is satisfied with the prototype, we start working on the agreed solution.
3. Integration into the existing system and production deployment
Addepto team implements custom-made solutions into existing systems. Our team of experts runs multiple tests to make sure that everything works smoothly. Our AI consultants are always available to answer any questions.
Now, your company can take advantage of the most recent technological solutions and observe how advanced algorithms improve their business outcomes.
Why work with us
You don’t have to worry about the quality thanks to our expertise
We implement solutions that can save you thousands of dollars in operational costs
We can assign experts to your project in as short as 1 week
Creating own AI departments might be a big investment for the future
Experienced Data Science engineers
In savings for all our customers
Average ROI from the project
Case Study I
We’ve helped a leading manufacturing company enhance management efficiency by implementing an automated reporting and demand prediction system, with predictive maintenance capabilities.
Benefits: one integrated data platform. Yearly savings of around 10m $ on right demand planning and inventory management. Continues production process and prevention from machine failures which are resulting in millions of dollars.
Case Study II
We’ve helped one of the global retail & e-commerce companies to optimize advertising processes using AI, ML, and ad targeting. We increased the effectiveness of the operational activities using image recognition.
Benefits: 60 hours of labor saved each month. 30% advertising cost decrease and improving conversion rate by 5 p.p (from 16% to 21%) that led to the sales increase in around hundred of thousand dollars.
Tools and frameworks for AI solutions
Python – one of the main technologies for AI today. Used for building and creating algorithms, data pipelines, advanced functions and statistical models.
PyTorch – is an open-source deep learning framework built to be flexible and modular for research, with the stability and support needed for production deployment.
TensorFlow – is an open-source library for numerical computation. It is mainly used for classification, perception, understanding, discovery, prediction, and creation.
R – The R language is widely used among statisticians and data miners for developing statistical software and data analysis.
Hadoop – is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power, and the ability to handle virtually limitless concurrent tasks or jobs.
MongoDB – a document-oriented database that stores data in JSON-like documents with the dynamic schema. It is great for transactional stores where performance is a concern. Its schema-less operations allow you to update the data on the fly.
PySpark – used to transform data. It enables you to run AI applications on billions of data on distributed clusters 100 times faster than the traditional python applications.
What AI consulting services can you expect?
Addepto may offer to you a variety of AI services, starting from an AI strategy roadmap to building a scalable AI infrastructure and production-grade AI solution deployment.
AI proof-of-concept projects – test assumptions and hypotheses. We are delivering fast and reliable MVP solutions in 4-6 weeks.
Production grade AI implementation – implementing algorithms and models to support your business’s production systems and deliver insights in real-time
Support – we help our customers in model validation, quality control and system stability
Post-implementation warranty – we guarantee that our AI algorithms will bring you value and high accuracy
What does an AI consultant do?
The role of an AI consultant is complex. AI consulting includes many tasks faced by data scientists and more. AI consultants need to help in creating an overall system based on different requirements necessary for successful implementation.
Moreover, they are responsible for managing AI-driven projects as well as are considered experts by DevOps teams who support them in capacity building making sure that internal resources are supporting code and artificial intelligence infrastructure.
At Addepto, our AI consultants stay in touch on a daily basis with our clients. This way you can be sure that your project is our top priority.
Our AI experts will help you to:
- solve complex business challenges using analytic algorithms and AI
- design, build and deploy predictive and prescriptive models using statistical modeling and optimization
- use structured decision-making to complete projects
- manage an entire AI project from business issue identification, data audit to model maintenance in production.
What are the 7 stages of artificial intelligence?
Let’s take a look at different forms of AI systems. We can divide them into seven stages.
Stage 1: Reactive machines
This is the oldest form of artificial intelligence systems. It has very limited capabilities – one of the reasons for that is their lack of memory-based functionality. It means that they don’t have the ability to “learn” from their actions.
Stage 2: Limited memory machines
This AI system has the functionality of a reactive machine and additionally is able to learn from historical data. This way, it can make accurate decisions. Most existing AI applications known today are under this category.
Stage 3: Theory of mind
Theory of mind AI is a work in progress. Researchers are working on this next level of AI systems that will be able to truly understand human needs. How? Thanks to analyzing human needs, emotions, beliefs, and thought processes.
Stage 4: Self-aware AI
It is a stage of AI development that for now is only hypothetical. The main concept behind it is artificial intelligence that has evolved to be so similar to the human brain that it has developed self-awareness.
Stage 5: Artificial narrow intelligence
This type of AI represents all of the existing AI. Artificial narrow intelligence can only perform a specific task autonomously using human-like capabilities. These machines can do only what they are programmed to do.
Stage 6: Artificial general intelligence
This stage presents an ability of an AI to learn, perceive, understand, and function exactly like a human being. Once we reach this stage, we will be able to significantly cut down the time needed to train models.
Stage 7: Artificial superintelligence
That would be a peak of AI research. Artificial superintelligence would become the most capable form of intelligence on earth. It would not only replicate the intelligence of humans but it would be better at everything because of overwhelmingly greater memory, faster data processing and analysis, and decision-making capabilities.
But so far, we have nothing to worry about. Artificial superintelligence is only an idea at this point.
FAQ about AI consulting
What is artificial intelligence?
Artificial Intelligence (AI) is an area of computer science that focuses on the creation of intelligent machines which “think” and react like humans. The main goal of AI technology is to imitate the behavior of an intelligent human being.
How does artificial intelligence work?
Computers need to learn how to respond to particular actions with the use of algorithms and historical data. Then, artificial intelligence creates a propensity model which starts making predictions.
How to prepare for AI implementation?
- Take the time to understand what artificial intelligence is.
- Analyze what problems your company is facing, which could be solved with the help of AI technology.
- Use AI consulting services to analyze your ideas and choose the best AI solution to solve your problems
- Prepare your company details
What business problems could we solve with AI?
The threat of cybercrime is becoming more and more dangerous every year as customers use digital transactions. It is an opportunity to steal their financial information as well as personal information. The more transactions are carried out on a daily basis, the more difficult it is for companies to ensure the security of every single transaction. AI solutions can help you solve this problem.
Artificial Intelligence technology is widely used in customer support to offer customers the best service. Thanks to artificial intelligence, your company can be available to customers 24 hours a day, 7 days a week, without the need for human assistance. Customers have a better experience and your business saves valuable time.
Personalized shopping is one of the most important aspects that increase customer loyalty. AI technology has found a solution to offer a personalized approach to customers who shop online. Product recommendation engines are one of the many AI-driven solutions that can help you retain customers and increase your revenue.
Today, companies collect more data about their customers than ever before. Unfortunately, it doesn’t make sense without data analysis. AI-based software can help your business process unstructured data and turn it into useful information about current trends, customer needs, etc.
How artificial intelligence will change the future?
Intelligent Process Automation
A new emerging trend that will be a game-changer in the future is IPA (Intelligent Process Automation). What is this?
IPA is a technology for automating business processes that enables the automation of individual tasks using artificial intelligence. This solution is a similar, more advanced version of RPA (Robotic Process Automation).
Essentially, IPA will enable us to use more machine learning algorithms to sort data and implement AI technology to recognize valuable information. So IPA is definitely a topic that we will hear more about in the future.
Which programming languages are used to build AI solutions?
There are numerous different programming languages that could be used to build AI solutions.
The most popular ones are Python, Java, Prolog, C++, Lisp.
What are various commercial applications of artificial intelligence?
AI-driven prediction and decision making
Given the economic situation that has changed so rapidly in the world as a result of the pandemic, entrepreneurs will be even more interested in AI-based forecasts and decision-making.
It is safe to expect that the main areas that will particularly benefit from AI-driven business forecasting are sales departments, medical diagnostic applications, inventory optimization, and demand and workforce planning.
With AI-driven tools, businesses can make effective decisions based on accurate, data-driven information. Entrepreneurs can better identify business opportunities and understand customer needs and behavioral patterns.
Chatbots are already a technologically advanced solution that most of us use or at least notice every day. Conversational AI (in other words, AI-based chatbots) will take the next step in the nearest future.
What are the main advantages of AI chatbots? In short:
- personalized customer experience,
- better range,
- increased responsiveness,
- significant improvement in the automation of customer service.
Conversational AI uses machine learning and NLP (Natural Language Processing) to:
- Understand what we (humans) are saying.
- Give us the support we need to communicate on a human-level that feels almost natural.
How to integrate artificial intelligence solutions with internal systems?
If you don’t have your own team of AI experts, leave that to the specialists. AI consultants will integrate AI solutions with your internal systems and make sure everything works perfectly.
Which data is used by artificial intelligence and what databases I can connect?
AI technology uses both structured and unstructured data. Artificial Intelligence database is a combination of data warehousing, advanced analytics, and visualizations in an in-memory database.
AI databases have incredible abilities, they can ingest, explore, analyze, and visualize fast-moving, complex data at the same time within milliseconds. Connecting particular databases depends on particular situations – for more information contact an AI consultant.