Emergn’s proprietary tool demystifies automation enabling subject matter experts (SMEs) to guide the evolution of the model.
We are excited to share our unique approach to automation for document workflow management leveraging machine teaching. This approach can be leveraged for any type of document workflow – emails, invoices, contracts, etc. The key to the approach is providing the SME transparency to the model and by using a simple user interface, where they can influence and teach the model. This creates a dynamic model that is flexible to market changes, business evolution, strategy shifts and more.
Watch this webinar to see a demo of our tool that will provide you with visibility into the power of machine teaching and how empowering the subject matter expert shifts the paradigm.
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Webinar - Accelerate the machine
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Meet our speakers
Aldis ErglisHead of Technology Strategy at Emergn
With over 20 years of experience building software-based solutions for business performance, Aldis is passionate about ML/AI and is recognized as an AI influencer in Eastern Europe. For the past six consecutive years, he has been awarded the Microsoft Data Platform MVP Award, recognizing his technology expertise and outstanding contributions to communities. Aldis created the formation of the largest Data Analysis and ML/AI communities in the Baltics, and over the past three years held more than 100 Meetup group events interacting with more than 2500 community members. He is passionate about sharing his experience and guiding groups interested in building technical knowledge and skills.
Muntis RudzitisLead Data Scientist
Muntis is the lead data scientist and machine learning developer at the Emergn Machine Learning Lab. He focuses on using the latest ML/AI achievements to build the best solutions for client needs. He holds a MSc. in data science from the University of Latvia and has several years of experience in experimentation, development of end-to-end prototypes and designing machine learning solutions.
Ariadna KramkovskaMachine Learning Developer
Ariadna has participated in machine learning research and development projects in various fields, such as predictive analytics, decision support, time series analysis and natural language processing. She is currently taking part in machine learning experiments and solution development for Emergn. Ariadna has a BSc. from the University of Latvia and is currently pursuing an advanced certificate in Big Data Analytics.