A "AI & ML" Look Ahead for 2020

Sam Charrington (@samcharrington, Host of TWIML & AI Podcast) talks about AI & ML trends in 2020, frameworks to understand usage patterns, hot new technology to explore, how long projects take to succeed, and the inherent bias built into every AI & ML model.SHOW: 437SHOW SPONSOR LINKS:Datadog Homepage - Modern Monitoring and AnalyticsTry Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirtMongoDB Homepage - The most popular database for modern applicationsMongoDB Atlas - MongoDB-as-a-Service on AWS, Azure and GCPCLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwSHOW NOTES:TWIML Homepage (Podcasts, eBooks, etc.)eBook: The Definitive Guide to  ML PlatformsStudy Groups & Education TWIML Conference HomepageSam Charrington on The Cloudcast in 2019 (Eps.321) Topic 1 - Welcome back to the show. Let’s start with the broad set of TWIML activities that you’re working on these days. Topic 2 - You focus on AI & ML every week, across a lot of different domains and usages. It’s a broad scope. If you had to focus it on Enterprise/Business leaders, how do you structure a conversation around how to align business opportunity and technology choices?  Topic 3 - What are some of the most commonly used technologies being deployed around AI/ML systems? Any big shifts over the last couple of years? Topic 4 - You’ve been around Cloud Computing and DevOps communities, which required companies to go through some people/process change to achieve success. What are the people/process changes that you typically see with AI/ML environments?Topic 5 - If somebody asked you how they can put a timeline on when they’ll see value around their AI/ML, is that a realistic ask? What are the factors that go into achieving success in AI/ML projects?Topic 6 - What are some of the interesting usages of AI/ML that you’ve seen in use recently?Topic 7 - There has been quite a bit of discussion recently about bias in AI/ML algorithms. Can you explain what this means and how it could impact the system’s decision making?FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnetFEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow