A team of enthusiastic, talented engineers at Ikigai are organizing a four day fun and educational workshop (Code for Kids) in the Boston Library (Roxbury Branch) starting Monday, June 26. It's daily from 3-5pm. The goal of the cam…https://t.co/bidZqFnC8E https://t.co/zlyqVoWtat
Ikigai Labs is hosting a case competition (Spectra '23) in association with IIM Bangalore: in addition to prizes and thrill of competing, you'll end up building end-to-end AI app using Ikigai's no-code AI Apps platform. For more, see…https://t.co/B2ztt4G8d1
I'll be speaking about decision making with no code AI (using platforms like Ikigai Labs) at the Data Hour organized by Analytics Vidhya. For details on how to join:
https://t.co/EsQyj0HvD1 https://t.co/OOtJgHyaAQ
Every retailer wants to know "forecast" or "demand". But such predictions are as good (or bad) as how you use them. Our colleagues at Ikigai have developed data-driven policy (in modern speak, RL) using such forecast for production planning. At its core,…https://t.co/i0cvN0qLRo
Looking for front-end / full stack engineer at Ikigai. Below is the job posting. If you know anyone looking for this position (Boston / Remote), please share this.
#jobposting#ikigailabs#dataoperator https://t.co/fyAbxhRGI1
If you are looking for an open-source multiple time series imputation/ forecasting at scale, with ease of using database, please take a look at this:
#forecast#timeseries#easytouse https://t.co/9t6OqE6hOt
Data Operators make mission critical biz decisions using data. Look to your left, look to your right and look into the mirror—you are sure to find at least one! Read more … https://t.co/8nYrmmlJKV
Ikigai Labs has launched () with the mission to build self-driving organizations by automating data-intensive, human-in-the-loop biz workflows within clicks using AI.
As an educator (https://t.co/OTE2elueSY), I have spent the pas…https://t.co/MafWFNxcWL https://t.co/wsH0n9NoL4
@NateSilver538 Group of us at MIT found that there is a strong relationship:
https://t.co/yOMy3pOssJ
Bottom-line: it might be enough to reduce mobility by lot less at crucial places (retail / transit) to achieve what we've with strict lockdown.