If the start of the year has seemed busy – you’re in luck this week! We pick up a 366th day of the year on Thursday. Make the most of your leap year extra day, and then get ready to spring forward into March!
If you are planning your event schedule in advance, I recommend “5 Strategies for Cost Reduction and Value Creation in 2024” from Procurify on March 5.
And now for this week’s recommendations…
Top 3 Business Process Improvement Initiatives for Procurement in 2024 (Procurement Leaders, Lytica)
February 27, 10am ET
Even though we live and work in a digital age, process improvements often make the difference between acceptable results and lasting success. In this panel format webinar, attendees will hear about top process improvement initiatives from Ken Bradley, Chairman and Chief Strategy Officer, Lytica; Cazzie Williams, Director of Electronics, Kearney; Frank Mckay, Chief Supply Chain and procurement Officer, Jabil; and Lloyd Kaplan, Managing Partner, Pacific Global Consulting.
Optimize freight spend with advanced analytics from a transportation business intelligence (BI) tool (Freightwaves, Korber)
February 27, 2pm ET
Data quality improvements and advanced analytics can have a significant impact on procurement’s ability to manage spend. In this webinar, featuring Brett Hamrick, Director of BI and Analytics at Körber, and Grace Sharkey, Author & FreightTech expert at FreightWaves, hear about the power of business intelligence when applied to freight spend.
[AOP Event] Digital Outcomes 2024 (Airbase, LavenirAI)
February 28, 10am – 2pm ET
Art of Procurement hosts four virtual events during the year – and one of them is this week! Join us for six sessions of digitally focused live content. We will be joined by experts and thought leaders to discuss everything from AI, to the metaverse, to data security, and more! Featuring Heather Murray, Mathew Schulz, Clive R Heal, Neeraj Shah, David Johnson, and James Meads.
Building AI-Enabled Digital Twins to Secure Your Supply Chain (Supply Chain Dive)
February 29, 2pm ET
A “digital twin” is a model or duplicate of a dataset, operation, or – in this case – your supply chain. Once built, it can be used to simulate the effects of external disruptions and internal strategies, providing all decision makers with more information. Join Pari Sanghavi, Managing Director of Life Sciences Supply Chain & Manufacturing Consulting at NTT DATA, to learn more.