This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Each technician visit, customer interaction and service delivery generates valuable data points. What is a data warehouse? What is a data warehouse? A data warehouse is a comprehensive system that collects, organizes and delivers business information in a way that makes it immediately useful.
Many global multinationals accelerated their investments in digitizing data during the pandemic. According to Colin Masson, a director of research at ARC Advisory Group, the opportunity to mine these vast quantities of data to achieve business value is “NOW.” Mr. Masson leads ARC’s research on industrial AI and data fabrics.
Data is a big buzzword across industries, but how about when it comes to logistics? William shares how they transform data into critical actionable information that optimizes and powers operations throughout businesses. Beyond The Data with William Sandoval. Our topic is beyond the data with my friend William Sandoval.
Supply chain practitioners seeking the best way to speed decision intelligence, unify supply chain data, and increase operational efficiency can benefit from a supply chain data gateway. Here are 10 ways a supply chain data gateway can improve your performance across the end-to-end supply chain.
The labor market is under an unprecedented squeeze, and the logistics industry has been hit particularly hard by the “Great Resignation.” This playbook explains how the right information, accessed at the right time, can help businesses across the industry work smarter (rather than harder), all while overcoming labor challenges.
Supply chain practitioners seeking the best way to speed decision intelligence, unify supply chain data, and increase operational efficiency can benefit from a supply chain data gateway. Here are 10 ways a supply chain data gateway can improve your performance across the end-to-end supply chain.
A single, centralized source of truth for your organizations data is no longer a luxuryits a necessity for businesses seeking to scale efficiently, enhance profitability, and make informed, data-driven decisions. This leads to: Inconsistent reporting: Different branches track data differently, making comparisons difficult.
These are big data platforms that monitor news sources and assorted databases from governments, financial institutions, ESG NGOs, and other sources to detect when an adverse event has occurred or may be about to occur. Most argue that when the UI is trained with the companys own data, the risk of hallucination is small.
In the green industry, knowing your customers’ behaviors can turn your business from an on-demand service provider into an essential partner in outdoor care. As businesses strive to stand out, leveraging data effectively has become a game-changer. What Is Decile Data? Heres another example.
Research shows that the hiring process is biased and unfair. While we have made progress to solve this, it’s potentially at risk due to advancements in AI technology. This eBook covers these issues & shows you how AI can ensure workplace diversity.
Colin heads up ARC’s research into Industrial AI. This analogy is not just a matter of abstract concepts; it is about real-world investments, strategic partnerships, and the tangible products being developed that are shaping the future of industrial AI. Collin Masson, Director of Research at ARC Advisory Group.
In industries like lawn care and pest control, businesses tend to operate on thin profit margins. For these companies, maintaining profitability while protecting their margins hinges on operational efficiency and the strategic use of data. Data is critical to managing every dimension of the business.
Why Modern Data Warehouses Are No Longer Optional A centralized data warehouse is becoming an essential solution for businesses looking to scale efficiently and optimize operations. It’s no longer just a “nice to have,” but a critical repository for processing vast amounts of business data.
Killing Ghost Loads and Phantom Data with Michael Darden. Michael Darden and Joe Lynch discuss killing ghost loads and phantom data. Michael is the CEO of DFM Data Corp, a utility company designed to be a tool between digital partners moving freight in the USA and Canada. About DFM Data Corp. DFM Data Corp.
While the industrial sector is undergoing a transformation driven by AI and the Internet of Things (IoT), simultaneously the workforce is shifting as traditional domain experts are replaced with tech savvy workers who bring a new level of operational expertise. The Current State of Industrial AI in the Process Industries.
He is a board member of the Association for Manufacturing Excellence (AME) and a contributor to the Forbes Technology Council , Manufacturing Today, WardsAuto , Supply Chain Brain, Industry Today, Aerospace Manufacturing and Design, ASSEMBLY , and more. Some of its customers include Boeing, Airbus, Spirit AeroSystems, and Tesla.
Guy Courtin is Vice President and Industry Principal of Retail at Tecsys, a global provider of supply chain solutions that equip the borderless enterprise for growth. Guy Courtin is Vice President and Industry Principal and Retail at Tecsys , a global provider of supply chain solutions that equip the borderless enterprise for growth.
For the first time, there is real-world data that shows that wind power could be a viable source of energy to power container ships in the near future. Encouraging data has been released on using wind power for powering a cargo ship, according to the BBC. What is so special about these “sails” versus traditional sailboats?
Cloud services Capital expenditure and long term investment in resources such as industrial machines, vehicles, and computers and IT equipment is being shunned, as new business models built on services are being developed. Cloud computing itself is a prime example.
They can ingest large volumes of functional data and leverage advanced intelligence to recognize broad trends and specific disruptive events. They are applying predictive analytics and data science to choose an optimal response quickly, driven by facts and pre-defined business outcomes. billion to $23.07
Schneider Electric provides energy management and industrial and building automation products and services. Energy management solutions are products that energy utilities use to produce power and data centers use to consume power. They also produce industrial automation solutions that allow factories to monitor and control production.
In the fast-evolving pharmaceutical industry, Vertex Pharmaceuticals stands out not only for its scientific breakthroughs but also for its human-centric approach to digital transformation. Vertex invested in building a strong internal data culture, upskilling teams, and creating “change champion” networks.
We dive into real-world use cases, implementation guidance, and measurable results already seen by industry leaders. These are not static dashboards or simple visualizationstheyre living, data-rich models of real-world operations. Step 2: Map the Data Ecosystem Digital twins depend on data integrity.
They recently gave the industry analyst community an update on their business performance over the last year and their outlook for the year ahead. Product Line Growth From an industry perspective, automotive was the fastest-growing vertical; it was up 56% year-over-year. They are a wholly owned subsidiary of Panasonic.
Three major trends are driving growth in this industry whichcan be attributed to regulatory pressures such as the Uyghur Forced Labor Protection Act, advancements in AI, and supply chain innovations. Businesses will need to ensure accurate data reporting across core operations such as sourcing, procurement, and transactions.
According to a survey by ARC Advisory Group, only 10% of industrial companies are ready to apply artificial intelligence/machine learning. The percentage of industrial companies broadly applying agentic AI and generative AI would be a small fraction of that number. ARC has been actively studying industrial AI for over two years.
A recent survey conducted by the International Road Transport Union (IRU) industry association shows that this bottleneck has exacerbated worldwide over the past two years. This is where big data technologies come into play. Big data for real-time optimizations in transport logistics. Look at the big picture.
All industries have their unique aspects which is why it is so important to select an ERP system that caters to your business’s specific challenges. An ERP system is a valuable asset for automotive distributors looking to leverage the data they create and use. An ERP provides a central repository for all a distributor’s data.
They sell to the automotive, data communications, medical, industrial, consumer electronics, and other industries. For example, the application sends three auto reminders to a buyer if a PO they cut does not have a corresponding purchase order confirmation associated with it.
More Resources Home Innovative Synergies: Logistics Tech Lessons from Other Industries Judah Levine May 23, 2024 Though the logistics and supply chain industry has made and continues to make a lot of progress in its digital transformation, it has a reputation for being part of the late majority or even a laggard in terms of digitalization.
This year, a recurring theme that I saw was about using supply chain data to improve the customer experience across the entire value chain. Here are the ones that stood out to me, especially as it relates to supply chain data. The single data cloud runs on Snowflake, one of Blue Yonder’s partners.
With the development of the digital wave, Robotic Process Automation (RPA) technology has gradually emerged as an important tool in the international logistics industry. Booking Processing : RPA can automatically scan and digitize booking documents in various formats and then automatically enter the data.
Jack Fiedler : We’re unique in the technology industry. We invest a huge amount of time and resources into our people and making sure that we have the best digital talent in the industry and that we’re doing the most innovative things in the supply chain. An iGPU (integrated graphic processing unit) is a current example.
In this article, we will explore these last-mile delivery optimization strategies and the role of route optimization software as we look ahead to industry trends shaping the future of delivery in 2025. Data-driven approaches, such as predictive analytics, facilitate real-time adjustments in delivery operations.
Designed to integrate seamlessly with enterprise resource planning (ERP) systems through APIs and batch processes, the TMS facilitates smooth data flow and operational efficiency. The company shared examples of its long-term collaborations with businesses such as Texas Instruments and Home Depot.
The combination of SAP agent technologies and Databricks data fabric solution, sets the stage for end-to-end enterprise orchestration. Databricks offers a Data Intelligence Platform. Databricks type of solution is increasingly being called a data fabric or a data platform built on data fabric principles.
5G networks significantly improve data transmission speed, latency, and device connectivity, revolutionizing supply chain operations. This setup allows teams to collaborate in real time, sharing video and diagnostic data across geographies. Next lets look at technical capabilities and applications in the domain.
For example, our advanced 3PL platform looks after every aspect of your supply chain in an efficient, effective way and our Virtual Carrier Network safeguards your shipping by always applying the best rates and speeds while not handcuffing you to any carrier. Of course we’re talking about your ecommerce store’s data security.
More Resources Home Empowering Freight Forwarders with AI: Insights from Industry Leaders AI Popup #2 Gaurav Bajaj July 8, 2024 Dive deeper into freight data that matters Learn More Empowering Freight Forwarders with AI: Insights from Industry Leaders For years, technology has been cast as a threat to freight forwarders.
More Resources Home Empowering Freight Forwarders with AI: Insights from Industry Leaders AI Popup #2 Gaurav Bajaj July 8, 2024 Dive deeper into freight data that matters Learn More Empowering Freight Forwarders with AI: Insights from Industry Leaders For years, technology has been cast as a threat to freight forwarders.
What is remarkable about this year’s tournament, and sports in general lately, are the learnings that can be applied to industrial companies working through energy transition and sustainability challenges. With that backstory in mind, let’s get back to energy transition and industrial sustainability and their intersection with the World Cup.
Industries such as automotive, electronics, and retail are particularly vulnerable. This data allows supply chain managers to make quick, informed decisions in the event of a disruption, avoiding potential bottlenecks. companies but global operations.
Four key reasons why suppliers are critical for managing direct spend Innovation and Product Development: Suppliers often have deep knowledge about the materials, processes, and industry trends that can drive innovation. An example of this is Vendor Management Inventory and Capacity Collaboration for contract manufacturing.
A KPI is a practical and objective measurement of progress, either: Towards a predetermined goal, or Against a required standard of performance It might help to think of a KPI as something like an instrument on a car dashboarda speedometer, for example. Why Are KPIs Important? Nonetheless, it is essential to have a hierarchy of KPIs.
We organize all of the trending information in your field so you don't have to. Join 84,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content