AI Consulting
AI Consulting Company
Addepto is an AI consulting company that develops AI-driven services that will
enable your company to take full advantage of the gathered data
Business benefits
Artificial Intelligence – consulting in the field of AI solutions
- AI Consulting Services
- Technologies
- Benefits
- Our team
What AI consulting services can you expect?
Addepto offers unique AI consulting services that will help you realize how many opportunities come from implementing AI solutions into your business.
Artificial Intelligence influences most industries, among the most popular are: retail, eCommerce, manufacturing, finance, healthcare, marketing, and gaming sector.
Our team develops customized AI solutions based on recent technologies.
We implement solutions based on high-tech solutions such as Computer Vision, Natural Language Processing, Predictive analytics, Image Recognition, Recommendation Engines, Smart Search Engines, and many more.
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.
More than 9 in 10 leading businesses have ongoing investments in AI.
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.
Development process
AI as a Service
We’ve helped a leading manufacturing company enhance management efficiency
All thanks to the implementation of an automated reporting and demand prediction system with predictive maintenance capabilities.
Addepto AI consultants have developed and created a system that helps managers and operation leaders to make the right decision on the costs and demand planning. Predictive maintenance solution is predicting when a particular production machine needs to be checked and potentially replaced.
Benefits include one integrated data platform and 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 in costs.
We’ve helped one of the global retail & eCommerce companies to optimize advertising processes using AI, ML, and ad targeting
We increased the effectiveness of the operational activities using image recognition.
Using advanced AI technologies our consultants created algorithms that help to find the best time to spend, identify the right channels and slots, and automate bidding for ad space. Image recognition and computer vision technologies were used for planogram execution, signing detection, and inventory automation using shelf analysis.
Benefits include 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.
We’ve helped a technology company specializing in intelligent shipping and logistics solutions
We implemented solutions based on the latest advances in machine learning services and artificial intelligence.
We implemented AI algorithms to provide multivariate analysis of the most valuable logistic indicators, we created a notification system for enhanced user experience and improve the interactions between departments, which helped in the daily work of employees and successfully optimized the business decision-making chain.
It enabled the company to bring shipping and logistics into the digital age and keep logistic cost optimization
We’ve helped a financial service company to optimize its pricing policy using the classification model
The model takes into consideration customers’ behavior and adjusts pricing depending on individual financial profiles.
We created an AI-driven recommendation engine that analyzes a huge amount of transactional and customer behavior data to increase sales, overall business performance, and client engagement as well as satisfaction.
This solution was used to support up-sell and cross-sell campaigns.
- Manufacturing
- Retail
- Logistics
- Finance & Insurance
Technologies
- Programming languages
- Database
- Frameworks
Python – Python is considered the most popular programming language in the Data Science area mostly because of its quite straightforward and easy-to-read syntax. Still, the benefits of using it in building Machine Learning solutions are numerous. This language has a large and active community that develops and maintains a wide range of libraries and frameworks specifically for Machine Learning and Artificial Intelligence, which provide pre-built algorithms and tools for building and training models. Python is a versatile and flexible language; it can be used in scientific computing and web development, which makes it a great choice for building ML models, often requiring a mix of programming, data analysis, and visualization.
R – With built-in statistical functions, R was made specifically for machine learning applications. This language also has an extensive library of data visualization tools, which makes it easy to create charts, graphs, and other visualizations of data. Moreover, R has an interactive console that allows users to explore data and experiment with different analyses and models in real time, enabling Data Scientists to test different models and approaches. R - as well as Python - can be easily integrated with other tools and languages, such as Python, SQL, and Hadoop.
PySpark – 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.
Hadoop – 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.
TensorFlow – TensorFlow is an open-source machine learning library developed by Google Brain Team, used to build and train machine learning models, including deep neural networks. It provides high-level APIs such as Keras that make it easy to build and train models without needing to write complex code, visualization tools, and pre-built models and datasets.
PyTorch – PyTorch is also an open-source machine learning library, yet it is was developed by Facebook's AI Research team. PyTorch allows Data Scientists to prototype and deploys machine learning models using Python. It is used in various applications such as computer vision, natural language processing, and reinforcement learning.
Key benefits
Artificial intelligence can improve your business in many ways
Glossary
All you need to know about AI consulting
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.
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.
44% of organizations have reported cost savings as a result of 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
Fraud
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.
Customer service
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 experience
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.
Data analysis
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.
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.
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.
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.
AI-powered chatbots
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.
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.
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.
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.
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 the 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.
We are a fast-growing company with the trust of international corporations
Addepto on the list of top 10 AI consulting companies by Forbes.
We are proud to be among the top BI & Big Data Consultants in Los Angeles on Clutch
We are proud to be among the top BI & Big Data Consultants in Los Angeles on Clutch
We are proud to be among the top BI & Big Data Consultants in Los Angeles on Clutch
We are proud to be among the top BI & Big Data Consultants in Los Angeles on Clutch
Our clients
Let's discuss
a solutions
for you
Edwin Lisowski
will help you estimate
your project.
- hi@addepto.com
Addepto offered an individual approach to our needs and high-tech solutions that will be efficient in the long term. They conducted a detailed analysis and were open to trying out innovative ideas.
Przemysław Piekarz Sales Analysis Manager – InPost