how-ai-is-propelling-the-supply-chain-industry-forward 
Dataiku
MARCH 5, 2020
In a 2016 survey of supply chain and manufacturing companies by Deloitte and supply chain association MHI, only 17% of companies were using predictive analytics. However, that number is anticipated to reach 79% by 2021.
TechCrunch
MAY 19, 2022
Everstream Analytics , a supply chain insights and risk analytics startup, today announced that it raised $24 million in a Series A round led by Morgan Stanley Investment Management with participation from Columbia Capital, StepStone Group, and DHL. Plenty of startups claim to do this, including Backbone , Altana , and Craft.
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Capgemini
DECEMBER 18, 2023
7 major trends shaping the future of the semiconductor industry Capgemini Dec 18, 2023 Facebook Twitter Linkedin The global semiconductor industry is in the throes of change. The last several years have welcomed a new set of challenges that have impacted the industry and propelled it towards innovation.
Perficient
MARCH 19, 2024
Our experts are closely monitoring nine healthcare trends that are shaping industry leaders’ strategies in 2024. And this year is especially interesting, because some of the biggest and fastest healthcare industry shifts in decades are happening right now. Instead, AI serves as a strategy enabler.
Agile Engine
FEBRUARY 28, 2024
Introduction 89% of executives are prioritizing AI in their tech initiatives this year. Among these executives, 54% anticipate significant cost savings from AI implementation, particularly through productivity gains in key areas such as operations, customer service, and IT. Ways in which AI can help companies cut costs 1.
Cloudera
AUGUST 22, 2021
I studied Commerce majoring in Economics at university and when I first started in the software industry, cloud was a much less ubiquitous term than it is today but the economics of using cloud, reducing inefficient spend, removing the barrier for innovation and agility, and the flexibility it gives organisations made so much sense to me. .
CIO
AUGUST 16, 2022
Elaborating on some points from my previous post on building innovation ecosystems, here’s a look at how digital twins , which serve as a bridge between the physical and digital domains, rely on historical and real-time data, as well as machine learning models, to provide a virtual representation of physical objects, processes, and systems.
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