Discover new ways of Analysis and Business Intelligence with AI
oday, AI is chosen by leaders to empower shaping better experiences, better decisions, accelerate protection and create new opportunities for various industries.
Our scalable end-to-end AI service enables your organization to unlimit the value of what you can do with your data and to scale Intelligent Solutions for your business. From Data discovery, Data analysis to AI design, training and continuous improvement. Our experts will customize your implementation model and help your organization to own the AI skills and achieve sustainable success.
AI (Artificial Intelligence) refers to the ability of computer systems to act according to the human mind and perform cognitive tasks that we would call intelligent behavior.
This includes possibilities for perception as well as the ability to learn from data inputs and experience and thus to find solutions to problems independently. AI is a broad field, including several software solutions and tools for specific use cases that mimic human intelligence. Our AI service aims to enable you to have the right tool, data and use this intelligence to leverage your business performance and experiences.
Benefit from your own Data with our AI Service
Imagine you have a deep gold mine within your company and the only thing you need is a good tool to discover its unlimited resource. That is AI being the tool to your existing Data.
AI’s Capacity overview
Recognize Implicit Input
AI is able to recognize implicit inputs thanks to the ability to see, listen and understand. Such ability enables AI to recognize handwritten text in different languages, objects and people in images or videos, apprehend human faces, gestures and emotions even in voice. This explains why AI can understand complex commends and request, and furthurmore, find patterns, recognize anomalies and correelations in Big Data.
Make decisions based on experience
AI can sort unsorted data, find information in big data and group data along characteristics. It also has the ability to optimize complex processes which enables quality control, supplichain optimization and procurement, production, warehousing optimization, etc. At last, it is able to control machines such as transport vehicles, smart home devices or robots. All these is becasue AI can be trained to make experience based decisions.
Generate Creative Output
The ability to recognize implicit input and make experience based decisions grants AI the ability to generate creative output. The most commonly demonstrated skill is that It can speak and write such as translate languages, write articles and reports, convert speech to text or the other way around. However, AI can also create, design, find news ways in strategies as well as predict the future e.g. what product a customer buys, next maintenance or forecasting the weather.
Field of application of AI
AI has been used to accelerate innovations for areas from daily life usage to business intelligence. Here are the 5 major fields where AI is applied.
Forecasting & Time Series
Applying AI to Forecasting and time series analysis allows us to better uncover the meaning that is hidden in patterns – Trends, seasonality, irregularity/noise and cyclicity. Time series analysis can be useful to see how a given asset, security, or economic variable changes over time. It can also be used to examine and analyse how the changes associated with the chosen data point compare to shifts in other variables over the same time period. Creating an opportunity to clean the data, and to predict the future. Machine learning forecasting is proved to be the most effective in capturing the patterns in the sequence of both structured and unstructured data and its further time series analysis forecasting.
OCR & Computer Vision
Computer Vision is a function that primarily deals with the analysis of the user interface. It serves to structure and identify individual elements of the presented surface. Items on the user interface can be identified even when not marked accordingly. OCR (Optical Character Recognition) is a subtype of Computer Vision. With OCR, characters can be extracted from images and any surfaces whose texts are not digitally tangible and made available digitally. It does not matter in which font or language the characters are displayed. The OCR technique is already widely used and finds its application in the digitization of texts in invoices, receipts, and other documents that are submitted as scans or photos.
Insights & Analytics
AI is a collection of technologies that excel at extracting insights and patterns from large sets of data, then making predictions based on that information. That includes your analytics data from places like Google Analytics, automation platforms, content management systems, CRMs, and more. AI analytics refers to a subset of business intelligence (BI) in which software exhibits behaviors typically attributed to humans, such as learning and reasoning, in the process of data analysis. In practice, this means AI automates the steps that humans would take to complete analysis in an exhaustive fashion.
Fraud & Anomaly Detection
Anomaly detection (or outlier detection) is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data. Fraud Detection is a good example of anomaly detection. AI helps to complete data analysis within milliseconds and detects complex patterns in the most efficient way which can be difficult for the fraud analyst to detect. AI removes the time-consuming tasks and enables the fraud analysts to focus on critical cases, like when risk scores are at the peak.
NLP & Chatbots
NLP (Natural Language Processing) is used to extract information from natural or human language and is therefore used in every area of process automation where free texts have to be analyzed and data extracted. For example, NLP can be used to recognize invoice numbers, amounts, and data from invoice texts, regardless of their structure. NLP also enables Chatbot which can be embedded and used through any major messaging applications.
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Discover how AI can be applied in your organization
AI enables automation to recognize implicit input data. From say a sentiment or intent, which is implied by a codified text, or an object, which is implied by the color value matrix of an image, to a text, which is only implied in the soundwave recorded from a speech. The use of AI makes all these forms of implicit input available for automation.
AI enables automation to cope with imperfections in the decision algorithms by making experience-based decisions. While in classical automation every rule and condition must be explicated to determine all decision within a process flow, AI can be trained based on similarities to previous cases.
Ability to Create
While classical automation can create various kinds of outputs AI enables it to surpass the standardized outputs and produce creative outputs. AI can translate a text into any language, create artworks, write research papers, or develop superior game strategies. Such AI is creative in a sense, that the output created can be qualitatively new.
Scalable End-to-end AI Service
AI project overview and implementation process
In the discovery phase, we generate use cases, assess, evaluate and prioritize. Then a project plan is filled including team and data need.
We collect data needed within the organization and set up the pipeline. In order for the data to be valuable for AI, cleaning and anlyzing the data play a crucial part.
AI Design & Development
When data availablility has been established we design your AI system from algorithm selection and model architecture to the learning path of training, validating, testing, and fine tuning your AI models.
Training & Enablement
In addition to training your AI models we also train and enable your people to work with AI. We build awareness for how AI works to improve your business.
AI never stops learning. Beyond the deployment of your AI models in production, we monitor the execution and handle continuous model retraining, improvement, and other necessary management of your AI sytems.