I got asked this on one of the cable shows I do but thought it would be worth putting it here for posterity…. so, what are my predictions for #AI in 2023? Speaking as someone who’s been building AI on and off since 1992, I could not be more excited for AI this year – I think we’ll see more this year than potentially in the last 20 years combined. If you only read 2 of my 5 points – #1 and #5.

1. Natural language processing (#NLP #naturallanguageprocessing): NLP is a subfield of AI that focuses on enabling computers to understand and generate human language. There has been significant progress in this area in recent years, and it is likely that we will see even more advanced NLP systems in the coming years, with the ability to understand context and nuance more accurately. #Poe, #ChatGPT #OpenAI, and others are all making amazing strides.

2. Computer vision: Computer #vision is the ability of computers to analyze and understand visual data, such as images and video. This has a wide range of applications, from self-driving cars to medical image analysis. This is causing lots of consternation in the #AR #augmentedreality landscape. I look to #Apple #Amazon #google & #Samsung to be pushing a lot of this AI into consumer devices

3. Machine learning (#ML #MachineLearning): Machine learning is a subfield of AI that involves the development of algorithms and systems that can learn from data and improve their performance over time. This has a wide range of applications, from image and speech recognition to predictive analytics. The dissemination of this AI into _every_ market is happening as we speak. It is so easy now to deploy this in myriad different ways. If your company doesn’t have an ML plan with quantified deliverables this year, you’re behind the 8-ball.

4. AI for social good: There is also growing interested in using AI for social good, such as to address global challenges like climate change and poverty. This could involve the development of AI systems that can help optimize resource allocation, predict and prevent natural disasters, or assist in the delivery of essential services to underserved communities. We are seeing the end of analog / human-designed supply chains (#supplychain #supplychainmanagement ) and the values of the people building the next versions of these systems do not match the previous generations at all.

5. AI for a crime: The counterpoint to the use of AI for social good is its use in #crime – beyond just #cybersecurity. We are seeing a logarithmic increase in the use of AI for criminal behavior. The existing law enforcement & national security (#lawenforcement #nationalsecurity) processes, people & technologies are far far FAR from where they need to be. My one asks for everyone reading this is to do some serious #cyberhygine ASAP.