AIxPact offers smart and predictive analytics. The development of Artificial Intelligence (AI) Solutions can be developed organically or strategically and does not always require intimidating and expensive teams, contracts, consultants, services or even hardware. We play a democratising roll in the world of AI, we believe in pacts.
Simply collaborate with us to develop your AI solutions and skills with open-source tools and coaching. Whether you need some fresh ideas, knowledge, extra capacity, a few lines of code that might create exiting insight to grow your business excellence or simply get your things done efficiently, we are your partner.
"We are drowning in information but starved for knowledge."
John Naisbitt
Are you annoyed spending so much time on a myriad of excelsheets or monstrosities of software solutions to get some information? Jupyter Notebooks is so much simpler and will be a common place tool.
Benefit from improved decision making or operational efficiency, higher revenue or engagement, disrupting your own business, etc. by using AI models to reveal the story in your data.
Connecting business world with the tech world is crucial. Business concepts are often not well defined in the tech world. Expensive teams or solutions may sit idle while they don’t deliver on the business promise. Our projects typically involve diagnostic-, strategy & concept development- and validation steps, all starting with a clear idea of the challenges.
Care for bottom-lines? Developing insights starts with delving deep into your data. AI techniques help you to mathematically structure and crunch your data and reveal hidden underlying patterns. There is no magic to it. The quality of your data and your true interest defines your chances of success.
We apply collaborative innovation to accelerate positive impact. We believe that long term relationships will lead to synergy overtime. Sharing expertise and ideas brings us together. And together we develop solutions you care about, based on your input, situation and schedule.
You want to be flexible and move fast? Building a complete in-house AI capability, outsourcing these capabilities, or using AI-as-a-service plans all have their pros and cons. Our collaboration approach is focussed on getting the job done quickly and efficiently.
We are specialised in developing AI solutions as POC, MVP or API(Microservices). Our products range from reports to dashboards, from POC to API. We can also do in-company workshops, help you with research or support your marketing team. Scaling-up microservices is something we leave for DevOps and Data Engineer specialists.
All data will be handled with utmost care and with respect to the new privacy laws like GDPR. All cases and data will be considered sensitive, private and are not shared nor saved on cloud servers. Data is encrypted and randomised from the onset of the project, which ensures that personal data is protected and unrecognisable during development.
AI tools create exiting insight or simply get things done more efficiently then most other analytic tools.
Simply collaborate to develop AI solutions with open-source tools without shopping carts.
Speaking the same business language will speed up the development and save you a lot of mishaps.
Gradually develop your AI solutions, skills and explore the real power of AI by scaling across the organisation.
We translate your business concepts and metrics in tech concepts so that data scientists can deliver on the business promise. Using the right features and labels is crucial to move forward efficiently. We can help you develop your data pipelines.
Explorative Data Analysis is a crucial phase to help AI models perform and behave well. Great algorithms fail on bad data or poor metrics.
“Garbage in is garbage out”.
We preprocess, engineer, link and explore datasets to gain company knowledge and build the foundation for effective algorithm design.
Models are representations of algorithms that catch patterns in data by a learning and optimisation process. We assess, build, tune and validate AI models iteratively until we meet your performance metrics.
We visually present meaningful patterns and insight to management and stakeholders. During research and development we visualise data to get a feel for your business. Watch these talks about data visualisation; Hans Rosling, more about; David McCandless
We coach and train your staff in tailored workshops so they embrace their AI tools and successfully build your smart future. Ultimately the value is not in the tools and models but in your organisations’ ability to embed, use, scale and maintain them.
Data Science is called ‘Science’ as it is an iterative process of research to optimise a certain objective. This process can’t be successfully executed without metrics, like KPI’s. We can support you with distilling/engineering the best metrics and with your research.
Machine learning
Deep Learning
Computer Vision
Natural Language Processing
Statistics
Forecasting
Network analysis
Web scraping
Generic: Numpy, Pandas, Scipy, Sympy
DL: Tensorflow, Keras, pyTorch
ML: Scikit/Sklearn, NLTK, NLP
Network: Networkx
Web: Flask, Requests, Selenium, BeautifulSoup, Scrapy
SQL: SQLAlchemy, PyMySQL
Visualization: MatplotLib, Seaborn, Plotly, Tableau, Gephi
ML(regression): Linear Regression, Ridge, Lasso
ML(classification): Logistic Regression, SVM, NaiveBayes, Perceptron
ML(ensembles): Random Forest, AdaBoost, GradientBoosting
ML(dimension reduction): PCA, Matrix Factorisation
ML(decision trees): Decision Trees, Regression Trees
ML(clustering): K-Means, KNN, Hierarchical Clustering
DL(networks): MLP/ANN, CNN, RNN, LSTM, AE, GAN
Statistical analysis: OLS, T-test, Anova
Time series: SARIMAX, Holt-Winters, FFT
Docker: API, Jupyter
AWS: API
Azure: Jupyter
Google Cloud: Colab, API
Digital Ocean: API
Excel
Kafka, KSQL
SQL
NOSQL(MongoDB)
REST API
JSON, CSV
Coding will be a basic skill required in future hirings, not without reason. But don’t fear coding is made easier by using Jupyter interactive notebooks. Code a line or two and run these interactively in your browser and view your results.
We can offer tailored workshops for introduction to Applied Data Science. You will be able to use AI tools for your job. However there are no short-cuts to learn build models that work best for you; “no free lunch” .
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