➥ Your "Low-tech" Artificial Intelligence & Blockchain insights into practical and fast-track A.I. ideas to grow your business today!
The New Rules of Build vs. Buy [or Partner] in an Ai-first World: ————— “Any business can benefit from partnering with AiaaS (Ai as a Service), whether they have an in-house machine learning team or not… if you’re not an Ai company, don’t build it yourself.” Read Article - Michael Vaccarino, Clarifai
➥ Don't Build or Buy Ai - Partner w/ Google AiaaS
◆ Earlier this year H&R Block partnered with IBM to use Watson to “Reinvent Tax Preparation” Read More ◆ Google is now offering access to its plug and play, job search machine learning capabilities that Ai enables the entire recruiting ecosystem:
1) Applicant tracking system partnership examples Jibe, RolePoint 2) Google Search teams up with CareerBuilder, Monster… Read More 3) Request access to Google’s Job Discovery AiaaS Private Beta
Cloud Job Discovery AiaaS, uses artificial intelligence to help customers connect job vacancies with people who can fill them.
➥ A.I. and Humans In & Out-of-the-Loop
◆ In the next issue #8, I will explore Ai systems that require humans to be in-the-loop to train the Ai systems. Below are articles describing Ai no longer needing humans in-the-loop to train themselves, i.e., humans out-of-the-loop.
While it’s not particularly deep, Teachable Machine is a fun way to break down the complex notion of machine learning without having to dive into coding. Teachable Machine
I manage a group of machine learning and data scientist professionals at Everymans.ai, a boutique marketing, and Ai enabling consultancy. We help companies quickly exploit marketing opportunities by building AI-enabled Minimum Viable Products (MVP) that will differentiate their products and services to gain a competitive edge with Ai.
Have an early stage Ai startup looking for advice, investment or want to explore your MVP ideas, I’d love to hear from you. Email me: info(at)everymans.ai
◆ Courses I am currently completing & recommend: - Data Mining Specialization @ Coursera.org Description - Big Data Specialization 2017 (2015 version update) Description
