Experiments have never been so affordable as of 2023 - we help our customers to ideate, define, launch and measure impact of new applications for internal or external use delivering daily progress. While fast and agile, we experiment in a compliant environment following best practices of IP, authorship and data protection.
AI enablement of delivery process increases delivery speed by 60-90%
Bundling of AI tools with no-code delivery
No-code delivery team
Agile team of Project Manager helping to define business outcomes and working hands-on with AI-tools and an ETL/AI/no-code developer helping to expedite delivery and connect to all necessary platforms and render results as a bot or frontend UI
Automation of performance analysis
Performance prediction based on digital traces of performance
Incoming application analysis, clusterization, prediction
Summarisation of multiple data pools e.g. CV + interview transcribing + test tasks analysis to be summarized and recommendations provided based on Completion API on a fine-tuned model based on previous cases
HR agents automation for interviews, test tasks and outreach
In the HR field we mostly use so-called Embedding technology by OpenAI that allows us to express data meaning in the form of a string of digits also called vector. Vectors can be compared to each other and clustered based on their position and distance between them.
This technology is a new search that was not possible before, it gives yet to be explored opportunities for business application and we are happy to co-ideate with your business and HR team on potential use cases.
Programming code can be considered another language just like Spanish, French or English. Modern AI models can easily translate English into Spanish and vice versa, and so they can work with the code, translating e.g. plain English into Python, React or PHP.
We help companies to:
Interpret written code, summarizing it and inferring business logic and dependencies
Produce code based on defined input using fine-tuned model or generic OpenAI completion API
Reverse engineer code into low level architectural instructions to train model to produce such for further tasks
Summarisation of multiple data pools e.g. CV + interview transcribing + test tasks analysis to be summarized and recommendations provided based on Completion API on a fine-tuned model based on previous cases
Pool help and support data within the company from email, Slack, Atlassian, Notion and other collaboration platforms to build AI helpers and mentors
Code review automation
In the quality assurance field we see a possibility to apply Computer Vision libraries on top of existing tools allowing to program the range of devices and screens to run certain test cases.
Some examples:
Computer Vision to check application visual conformity by comparing live and demo instances
Generation of test cases based on task specification using completion API or embedding
Proactive defect prevention and bug prediction mapping past tasks to their bugs using embedding
Once the login credentials have been saved in Pimcore, all associated Magento 2 stores and store views will be visible within the Pimcore instance.
Data interpretation into business summaries, work usually performed by a Data Analyst
Data clean up, bot identification
You can map the store and store view with Pimcore.
We have tested and integrated OpenAI in the teams working with organic traffic and paid traffic acquisition for keyword analysis, negative keywords management, competitor analysis, and content generation.
Keyword ROI optimization
Automated organic traffic scaling for long-tail of keywords
Campaign results summary and analysis
Being part of scandiweb we have access to hundreds of eCommerce implementations based on Adobe Magento platform, what enables to embed AI into popular tasks such as replatforming to PWA, React storefronts, Magento upgrades, API integration tasks, and bug fixing. In case your business runs on Adobe Magento let’s talk to see what can work out for you e.g.
Magento upgrade process takes up to 60% less time
PWA replatforming within 6 weeks instead of 3-4 months
Code suggestion based on 100,000 tasks completed
Frontend design implementation on a standard Magento faster by 40%
Here is a wide range opportunities that we look into in each business case, usually, these fall into
Video transcribing, summarizing, tagging, titling
Validation of already summarized, tagged data
Fine-tuning to provide company-specific summarisation or tagging rules
Data structuring, data clean up, data validation, cross-data pools validation, comparison
Meaning-based or similarity based data clustering
Relationships look up in unstructured data pools
This could one of our favourites cause it helps to build what usually people expect from AI. We train the model through fine-tuning providing company-specific contexts e.g. Slack help channels, FAQs, mentorship groups, tasks comments, emails to build a company brain and continuously update it feeding new information.
Slack bots knowing company data
Email generators based on your style and fine-tuned with previous correspondence data
Multi-step agents involving connection to external systems or human interaction
Frontend design implementation on a standard Magento faster by 40%
Meeting of minds, discussion on the tools available, their business implications to ideate on the business case or see how we can apply new tools to already formulated business needs.
Legal consultation on compliance, data protection, access management during application build, further usage and servicing. Optional consultation on IP and sensitive information usage within prompts.
Business need analysis, mapping with available tools, coming up with a suggested solution architecture, timelines and costs.
Agreement sign off, kick off session, scheduling delivery updates
Application iterative delivery, weekly demos
UAT, application launch
Gathering of usage statistics, feedback, assessing impact on KPIs to iteratively improve application or transform it into stable running practice
I am Rainbow, I take pickles and make them into diamonds
© 2022 scandiweb. All Rights Reserved.
