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A 2021 NLP Retrospective

#artificialintelligence

Every company that derives value from language stands to benefit from NLP, the branch of machine learning that has the most transformative potential. Language is the lowest common denominator in almost all of our interactions, and the ways in which we can capture value from language has changed dramatically over the last three years. Recent advancements in NLP have outsized potential to accelerate business performance. It even has the promise of bringing trust and integrity back to our online interactions. Large incumbents have been the first to jump onboard, but the real promise lies in the next wave of NLP applications and tools that will translate the hype around artificial intelligence from ideology into reality. So, there you have it, these are my personal highlights of 2021 in NLP. I hope you enjoyed this summary and it'd be great to hear about your personal highlights from the past 12 months in NLP. Please comment on this blog post or reach out directly.


2022 technology trend review, part two: AI and graphs

ZDNet

In the spirit of the last couple of years, we review developments in what we have identified as the key technology drivers for the 2020s in the world of databases, data management and AI. We are looking back at 2021, trying to identify patterns that will shape 2022. Today we pick up from where we started with part one of our review, to cover AI and knowledge graphs. The AI and ML deployments are well underway, but for CXOs the biggest issue will be managing these initiatives, and figuring out where the data science team fits in and what algorithms to buy versus build. In principle, we try to approach AI holistically.


A 2021 NLP Retrospective

#artificialintelligence

Every company that derives value from language stands to benefit from NLP, the branch of machine learning that has the most transformative potential. Language is the lowest common denominator in almost all of our interactions, and the ways in which we can capture value from language has changed dramatically over the last three years. Recent advancements in NLP have outsized potential to accelerate business performance. It even has the promise of bringing trust and integrity back to our online interactions. Large incumbents have been the first to jump onboard, but the real promise lies in the next wave of NLP applications and tools that will translate the hype around artificial intelligence from ideology into reality. So, there you have it, these are my personal highlights of 2021 in NLP. I hope you enjoyed this summary and it'd be great to hear about your personal highlights from the past 12 months in NLP. Please comment on this blog post or reach out directly.


Europe ai scaleups report 2016

#artificialintelligence

Machine Learning is the new buzz word and AI is the slang word these days. What does happen in this exiting field in Europe? Is AI common ground for all businesses or the exclusive territory for a few? Who has managed to validate a business model for autonomous vehicles or chatbots?Whatdoesdata-drivenor API-firstbusinessmodelslook like? With this report we want to provide a comprehensive review of investment in startups and high-growth AI and Data Analytics companies across 22 countries in Europe.