The Point by Buyers Meeting Point
Recommended Procurement Webinars March 25-29: Being AI Ready, Finance Fireside Chat and Machine Learning for Spend Analysis
Are you ready for this? There are 12 webinars between Tuesday and Thursday this week – in addition to ProcureCon Indirect East taking place Monday through Wednesday. If you’re going to be at ProcureCon, be sure to catch Philip Ideson and Joanna Martinez in the Negotiator’s Boardroom on Day 2 at 9:50 am.
If you are planning your webinar schedule beyond this week, I recommend ‘COST TRANSPARENCY - A Catalyst for Achieving Negotiating Goals’ from Rod Sherkin, President of ProPurchaser, on April 25th at 1pm ET.
BTW: If you haven’t already, sign up for our mailing list to be sure you get my weekly recommendations in your Inbox each Monday.
March 27th, 12n ET
Like any other technology, there are organizational factors that can either accelerate or prevent AI from being adopted. Based on the description for this webinar, it would seem that the reasons a company wants to adopt AI can play as large a role as the company’s readiness. In this event, speakers from Atos and Google Cloud will share how AI can be a lever for strategic growth and best practices for introducing, deploying and governing AI implementations.
March 28th, 12:30pm ET
Although this is webinar is positioned for a finance audience, it is worthwhile for procurement professionals at attend based on one phrase: business spend management (BSM). In this event, The Hackett Group’s Amy Fong and Hyrum Kirton, CEO, of Bristol Hospice will discuss how increasingly strategic finance teams are using BSM to advance digital transformation goals.
March 28th, 2pm ET
While it is usually mentioned as an afterthought, machine learning doesn’t have the same ‘razzle dazzle’ brand identity as AI. And yet, because spend analysis is naturally structured and rules oriented, it may hold the greatest potential for procurement to smarten up our solution platform. In this webinar, members of the SpendHQ team will share techniques for applying machine learning’s advantages to spend analysis today.