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Author Archives: Anne Zelenka

Can an AI provide what talk therapy needs to work? Or are humans required?

What are the prospects for offering AI-only counseling? A consideration of how necessary humans are in talk therapy effectiveness.

Posted byAnne ZelenkaMay 4, 2021May 4, 2021Posted inartificial intelligence, mental health, talk therapyTags:cbt, coaching, common factors, counseling, psychology

Data scientist hiring tip: Build your machine learning pipeline first

Before hiring a data scientist, consider building out a full ML pipeline with your existing data engineering and DevOps staff.

Posted byAnne ZelenkaApril 26, 2021April 26, 2021Posted inhiring, machine learning, MLOpsTags:data science, job descriptions, pipeline

Natural language processing hits and misses: Learnings from our alpha launch

There’s a need for faster, easier, better ways to get natural language processing capabilities out in the world. We’re looking to figure out how.

Posted byAnne ZelenkaApril 7, 2021April 7, 2021Posted inartificial intelligence, natural language processingTags:Amazon Comprehend, cbt, few-shot learning, motivational interviewing, naive Bayes, sentiment analysis, text classification, values

Machine learning project fail: PowerPoint model deployment

ml model deployment to PowerPoint

Instead of delivering ML-powered guidance, many inexperienced businesses see their expensive data science efforts result only in PowerPoints.

Posted byAnne ZelenkaApril 7, 2021April 7, 2021Posted inartificial intelligence, MLOpsTags:deployment, lifecycle, powerpoint

Highly Recommended: Andrew Ng on Data-Centric AI

AI expert Andrew Ng calls for data-centric AI/ML development, supported by better MLOps tools and processes. As an industry, we need to develop a machine learning development lifecycle that is as standard and effective as software development lifecycles.

Posted byAnne ZelenkaMarch 25, 2021March 25, 2021Posted inartificial intelligence, MLOpsTags:artificial intelligence, data-centric, MLOps

The case for hybrid AI in business

Hybrid AI systems which combine symbolic and nonsymbolic approaches will give many businesses a faster route to success with AI than they can achieve with nonsymbolic approaches alone.

Posted byAnne ZelenkaMarch 12, 2021March 12, 2021Posted inartificial intelligenceTags:deep learning, hybrid ai, nonsymbolic ai, ontology, symbolic ai

Year in review

calendar and pen

Review the past year’s top five and bottom five, then identify the values these express. Aligning with your values can result in a richer, more meaningful life.

Posted byAnne ZelenkaJanuary 1, 2021Posted inworksheetsTags:goals, values, worksheet, year in review

Five AI trends that matter in 2021

Five things we’re excited about for 2021: Few-shot learning, emotionally engaging AI, artificial domain intelligence, augmenting human intelligence, and feature stores.

Posted byAnne ZelenkaDecember 31, 2020January 4, 2021Posted inartificial intelligenceTags:adi, agi, augmented intelligence, emotion recognition, emotional engagement, feature stores, few-shot learning, gpt-3, human-in-the-loopLeave a comment on Five AI trends that matter in 2021

Why incantata?

How we named our startup. What does magic, delight, and poetry have to do with it?

Posted byAnne ZelenkaDecember 14, 2020January 4, 2021Posted incompanyTags:magic, nlp, poetry, startupsLeave a comment on Why incantata?
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