We are a global management consultancy that delivers exceptional outcomes and sustainable change
We are a global management consultancy that delivers exceptional outcomes and sustainable change
Greaux is an AI consulting company that develops AI-driven services enabling your company to take full advantage of the gathered data.
Artificial Intelligence – consulting in the field of AI solutions
AI strategy is a comprehensive plan developed by organizations to leverage artificial intelligence (AI) technologies effectively for their goals and objectives.
An AI strategy outlines how AI will be integrated into various aspects of an entity’s operations, innovation, decision-making processes, and overall business or societal objectives.
Our team specializes in developing customized AI solutions, leveraging the latest technologies available. 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.
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.
Artificial Intelligence consulting will help you discover how AI can benefit your company.
This way you can be sure that your project is our top priority.
Our AI consulting experts will help you to:
AI as a Service
Why work with us
All thanks to the implementation of an automated reporting and demand prediction system with predictive maintenance capabilities.
Greaux Consulting Corporation 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 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 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.
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.
Tools and frameworks for AI solutions
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 – 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 – 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 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 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.
Artificial intelligence can improve your business in many ways
Reducing human labor
Using AI leads to reducing human labor, especially in handling repetitive tasks.
Cost savings
A one-time investment in AI will be more cost-effective than hiring a full-time worker, as AI and machine learning can automate labor-intensive processes without harm to quality.
Minimizing the risk
By providing the ability to analyze various unstructured data, AI can identify patterns related to past incidents and predict future risk factors.
Real-time decision making
Artificial Intelligence increases the efficiency of decision-making processes as it constantly evaluates data coming from multiple sources, providing stakeholders with precise and real-time insights.
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.
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.
There are numerous different programming languages that could be used to build AI solutions.
The most popular ones are Python, Java, Prolog, C++, Lisp.
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.
Focus on real outcomes
With more years’ experience in AI Consulting for our Clients, we are driven to deliver improved business outcomes.
Greaux helps businesses maximize their return on investment by identifying opportunities across their value chain and providing practical and sustainable solutions. Our change management expertise ensures the new ways of working are rapidly adopted by the organisation and a new culture of working is achieved.
Measurable Results
Our methodology enables to quickly analyse opportunities in any business and commits to delivering business outcomes.
We will analyse how your company can most effectively improve across your value chain and build a practical program with you to implement sustainable solutions.
Experts in Adoption
As part of the engagement, Greaux has more than 20 years’ experience in taking projects to full adoption using our behavioural and cultural change methodologies.
This approach guarantees that we leave the organization and your people with the ability to continue growing value long after the project is delivered.
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