Jeremy Baksht’s Post

Supply chain data is fragmented and often trapped in point-to-point solutions. Data needs to be composable and unified to reach insights like “where is my item?” Some excellent thoughts from Wes McKinney about the future of data tooling. “I think we will eventually see the adoption of next-generation file formats that provide even better performance on modern storage and processing hardware, but the now “legacy” columnar formats Parquet and ORC are going to be with us for a long, long time. The new scalable dataset management frameworks like Iceberg and Delta Lake can be adapted to support new file formats in the future, and so to a certain extent file formats and dataset management are orthogonal to many of the issues discussed above. With the recent explosive growth of AI systems, I expect we will also see innovation in specialized storage and data access technologies to speed up ML and generative AI applications.” #Data #Coordination #ML #AI

As enterprises expand their supplier and transportation vendor networks, they will need to build more and more integrations to operate efficiently with their new partners. Today this task is often handled by service providers who build costly peer-to-peer integrations. There will also be a wave of new, cloud-native products that come to market that will need to leverage data from legacy ERPs. Today, we see that hiccups in data create demand planning and inventory issues that cost suppliers and retailers alike $ trillions in lost revenue. The answer is universal APIs that can stitch together the panopticon that is SCM, WMS, and TMS. Interoperability is the glue needed to make sure when you play Pac-Man you get the highest score. #SupplyChain #Middleware #VerticalSaaS #Retail #Data

Three-quarters of the world’s $100 trillion in GDP is made up of traditional legacy industries — such as manufacturing, transportation, logistics and healthcare — that have yet to be deeply transformed by technology. Digital transformation is inevitable.

The scholar, the pragmatist, and the rainmaker — also super nice VCs. Good to see Bloomberg Beta getting well deserved coverage. James Cham Karin Klein Roy Bahat

Thanks so much Evan Schnidman & Omri Shtayer for having me on I See Data People! https://lnkd.in/efwAePDH Shaper Capital #Data #SupplyChain

I am excited to see everyone on Friday at Cornell University’s Financial Engineering Manhattan & Rebellion Research’s 2023 Future Of Finance Conference at the Verizon Center at Cornell Tech, Roosevelt Island. I will be a panelist on the closing panel. 4:55pm — Near Term Future of Finance & ChatGPT: The Intersection of Consumer / Retail & Global Data Management & Usefulness. Moderator: Ruchir Puri, IBM Research Chief Scientist Osho Jha, Co-Founder & Chief Data Scientist at Arbol Jim Kyung-Soo Liew, Ph.D., Professor of Finance, The Johns Hopkins University Jonathan Larkin, Managing Director, Columbia Investment Management Company Jeremy Baksht, Entrepreneur, Shaper Capital Daniel Newman, Systematic Investor, Bridgewater Associates #Quant #Finance #Consumer #CPG #Retail #ChatGPT #AI #LLMs #Data

I admit, this is an impossibly intimidating stack of books on my nightstand, but if you are looking for something new to read maybe these will scratch the itch. #Books #Entreprenuers #Startups #China #Strategy

Most supply chain management (SCM) software is really a set of exception handling logs instead of a true dynamic control tower. What industries like CPG & Retail need is a next generation combinatory predictive analytics platform built on relational knowledge graphs. The challenge heretofore is that these models require inputs from layers of shipping carriers and 3rd parties as well as sophisticated assumptions for idiosyncratic events caused by pandemics, trade wars, and weather. Ultimately computing millions of interactive features in a model that can’t easily be sorted in a human brain or an SQL database. I am turning my professional focus to breaking down global supply chain data silos. If we can coordinate and ultimately create better, faster integrations across new and legacy platforms we can get closer to answering the multi-trillion dollar question, “Where is my item?” My latest article elaborates on learnings from my time at Walmart and my outlook on what is next in supply chain data infrastructures and applications. #SupplyChain #AI #Data #LLMs

AI has great potential to improve the resilience of supply chains by helping manufacturers and retailers cut costs by reducing timing inefficiencies, smoothing out supply crunches which will allow consumers to have better visibility of when goods will arrive. “I think AI can be such a great place to take all of these varying data sources, structure it and then drive predictable and accurate analytics that really get to the end goal of when is my cargo going to get to me, what time and what items are going to arrive." - Kaitlyn Glancy #AI #SupplyChain #Data #LLMs #Logistics

I recently joined Shaper Capital as an Entrepreneur. I am thrilled to be working on something new, and yes, it is data related. Please stay tuned for updates. My journey in data started in 2000 with Andersen Consulting as we spent 3 years overhauling Texas Utilities for the opening of the private utilities market which included a CIS conversion, new website, new call center, and a new accounting system. After my MBA while I was an investment banker at Citi & JPMorgan I was able to see the importance of data and insights businesses in the portfolios of global industrials, transportation, and commodities companies. My successes and trials as an entrepreneur over the last decade have been a great ride through a couple of exited companies, dozens of early investments in data and SaaS, and innovation roles at Bloomberg and Walmart. I believe there is a lot left to do in corporate digital transformation across industries and I am excited about all of the progress in the underlying fabric of technology to continue the sea change from a world of fragmented, disorganized data all the way to actionable insights. AI also seems to have finally arrived in a more useful way as well. Thanks to Travis May for the opportunity, and thanks to my network for your support! https://www.shapercap.com/ #Data #Mission #Team #Founder