MACHINE LEARNING

Accelerate your journey to the Cloud

Machine Learning brings a new area of techniques enabling us to solve problems or to implement solutions, previously considered as extraordinarily complex or beyond reach. Equipped with cutting-edge technologies, and driven by business mindset, our engineers apply Machine Learning to help our customers in delivering state-of-the-art solutions, to complete their complicated business challenges and objectives.
We deliver end-2-end Machine Learning projects: from early ideation stages to production of the solution. Thanks to our holistic, iterative, and agnostic approach, our team can assist clients of a wide variety of industries in defining Machine Learning strategies with realistic growth opportunities. Wherever you are in your Machine Learning journey, we can help you move forward in a flash!

1. FORECASTING AND PREDICTION

Predictive analysis can be used in business to evaluate trends and make estimates or forecasts. By using regression analysis, we can generate insights about consumer behaviour as well as factors influencing profitability, and effectiveness of pricing and promotions of the product from the marketing and sales point of view.

2. COMPUTER VISION

Computer vision strives to automate perception and understanding of visual data. This application seeks to develop techniques to help computers see and understand the content of digital images such as photos and videos for the purpose of object detection, image classification, face recognition, and more.

3. NATURAL LANGUAGE PROCESSING (NLP)

NLP focuses on a computer’s ability to interpret human language, in order to process, analyse, and extract meaning from large volumes of natural language text data and speech. Applications range from automated classification, tagging, document or e-mail processing, to extracting information, in order to analyse personality, demographics and mood. With organisations producing more and more unstructured documents, NLP becomes the key to automate their treatment into organized business processes. Through our NLP framework, we can provide exceptionally fast results, building up on our earlier work and research.

4. RECOMMENDER SYSTEMS

A recommender system aims to filter a catalogue of items, to show the end-user the items that are most relevant to them. Applicable in the e-commerce sector (product recommendation), recommenders use can be extended to various business domains. Based on employee’s current job, and job’s history, HR departments can be advised with complete and relevant training plans, tailored for each single employee.

5. ANOMALY AND PATTERN DETECTION

Anomaly detection (also outlier detection) techniques detect rare items, events, or observations, that raise suspicions by differing significantly from the rest of the data. By identifying, monitoring, and recommending counteractions, Machine Learning helps businesses respond to anomalies in no time.

Machine Learning can also be used to identify clusters of objects that are in some ways, similar to each other, allowing to detect common patterns, propose their segmentation, etc. Both these are key tasks of exploratory data mining.

HOW WE WORK

We deliver value to you at each step of a standard Machine Learning workflow. Our way of work is highly iterative. We frequently gather feedback from business stakeholders, to make sure that parameters of the project and business objectives are aligned and enhanced with each iteration. The process always involves at least 7 steps:

  1. Business analysis
  2. Team and process definition
  3. Data exploration and preparation
  4. Model development
  5. Deployment at scale
  6. Monitoring
  7. Continuous training

CONTACT US FOR FREE IDEATION WORKSHOP

Do you want to introduce and leverage Machine Learning in your organization quickly and effectively? If so – contact us for a free ideation workshop, designed exclusively for your organization to discover where Machine Learning can take you! info@arhs-spikeseed.com

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