Chris McFadden

According to government estimates, the U.S. Manufacturing sector loses well over $100B annually because so many companies remain over-dependent on outdated manual processes. For such companies, creating a more “eCommerce-like” buying experience for their suppliers is imperative.    That’s why today Cleo launched CIC ORCA (Order to Cash Automation), a new capability in our Cleo Integration Cloud platform that dramatically improves #B2B buying experiences by delivering seamless “eCommerce to EDI” workflows for businesses that don’t happen to have EDI capabilities.    CIC ORCA is intended for #manufacturers, #wholesalers, and #distributors who must cater to the modern B2B buyer’s preferences for ease-of-use, self-service, and efficiency when procuring goods, getting delivery updates, and receiving invoices from their suppliers.     In an era shaped by the “Amazon Effect,” suppliers are increasingly expected to emulate the B2C buying experience. Cleo's CIC ORCA gets everyone singing from the same song sheet. For the full story see today's Cleo Press Release or visit the CIC ORCA web page -- https://lnkd.in/gqFn4hCj

32

3 Comments

As we witness the current dock strikes, I can’t help but reflect on the profound implications these events have on our global supply chain—from Maine to Texas and beyond. The fear surrounding automation and robots taking over dock worker jobs is palpable, and rightly so. We’re talking about potential disruptions that could cost us trillions of dollars! While I’m no expert in the dock industry, it’s clear that there’s a delicate balance to strike between innovation and workforce stability. Yes, automation can streamline processes and boost efficiency, but we still need skilled hands on deck to manage these advancements effectively. What excites me, however, is the potential for AI and technology to create NEW jobs in the logistics and shipping sectors. Instead of viewing robots as a threat, we can leverage them to enhance the roles of dock workers, pushing more goods and keeping our supply chains moving smoothly. Let’s embrace the conversation about how we can integrate technology to support our workforce rather than diminish it. Our docks and our economy depend on it. #dockstrikes #robotics

36

8 Comments

U-Haul's data on one way rentals is always informative when looking at migration patterns (below from 2023). This trend is a continuation of patterns seen during COVID - which enabled people to move and didn't require close proximity to their jobs (due to WFH). Few points to note for real estate + tech deployment: - The Carolinas has "4 seasons" weather wise - i.e warm summers and cold winters - a reason cited as why it it is a high, net recipient. One of the other factors noted was the lower risk of major weather events (c.f Florida). Climate events are now a material consideration for homeowners. - Prior datasets + investment hurdles, on clustered locations such as New York, are less relevant with material impact on vals - meaning significant overhauls, perhaps AI driven, to CapTrans models + data - Given infra projects take up to 7 years to complete (a proxy for 500miles of rail), we foresee a number of "white elephant" infra projects. A number of these projects were built with a CBD centre point - but these are less relevant now- impacting previous asset val assumptions. #Portfolios and assets are now fundamentally different. At The Proptech Connection, we help our clients with understanding how asset use will look across a ream of horizons and adopting the technology based on this. Reach out today to find out how we can help. Ivo van Breukelen Stuart Daun #Futurism #RealEstate

11

The topic on Infinite ML pod today is databases for AI workloads. We have Tim Tully on the show to talk about it. He's a partner at Menlo Ventures, a VC firm that has invested in companies like Uber, Anthropic, Pinecone, Benchling, Chime, Carta, Recursion, and more. He was previously the CTO of Splunk. Prior to that, he was the VP of Engineering at Yahoo. We cover a range of topics including: - Evolution of Databases - Enduring Business Models in Data Management - Challenges and Trade-offs in Database Choices - Modern Database Architecture - Separation of Storage and Compute - Role of Indexing in LLM Applications - Handling Different Types of Data in Databases - Distributed Databases - Real-time Data Handling and Requirements - Architecting Data Infrastructure for AI - ETL in Modern Data Infrastructure - AI's Role in Database Optimization - Network Architecture - Hardware Improvements and Database Performance - Technological Breakthroughs and Investment Opportunities

6

1 Comment