Fully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.

This week we look back at 2018 - from the GDPR and the Cambridge Analytica scandal, to advances in natural language processing and new open source tools. Then we offer our predications for what we expect in the year ahead, touching on just about everything in the world of AI.

Leave us a comment

Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!

Sponsors:

Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com.
Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog.
Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog
Algolia – Our search partner. Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at algolia.com.

Featuring:

Show Notes:

2018 in Review

Focus on more challenging ML problems
Semi-supervised learning
Domain adaptation
Generative models
Reinforcement learning
NLP
ELMO
BERT
Fear about AI
GDPR, trust and privacy
Cambridge analytica
Facial recognition
Tons of open sourced tooling, models

Predictions for 2019

Focus on trust and transparency
Bias
Regulation
GDPR and transparency, interpretability
What will other countries do regarding regulation?
AI for good
Better voice and conversational results
AI assistants
Voice interfaces
NLP advances
More focus on product development, less on research
Deep learning will explode in production product / service development
Computer vision, NLP, speech recognition will be table stakes
Increased accessibility of DL to software engineers / developers
More testing/tooling
Better training for data scientists
Better integrations and infrastructure
AutoML
Organizational / Cultural Shifts
New roles for data-based leadership - CDO, CAIO, etc.,
Strategy - AI becoming first-class concern
Competitive Analysis - AI and data assessments mandatory
Fragmentation into distinct subfields - AI, analytics, data science, prognostics
A changing relationship between humans and automation
AI + robotics - first steps
Pervasive AI + IoT - first steps
The importance of creative expertise for humans
How to school your child today to prep for tomorrow
Narrowly-scoped, highly-specific job functions at most risk

Something missing or broken? PRs welcome!

2018 in review and bold predictions for 2019 42:24 Share

Practical AI: Machine Learning, Data Science, LLM

Shownotes Transcript

2018 in review and bold predictions for 2019