Logistics technology provider Cargo Chief Inc. said Tuesday that it had partnered with the Danish supply chain data aggregation firm GateHouse Logistics in a deal that could help truckers reduce the number of empty runs they drive on North American highways.
Under the agreement, GateHouse will share the tracking data it compiles from individual trucks' electronic logging devices (ELDs) through its ghTrack supply chain data sharing service, a neutral, cloud-based platform that aggregates position and sensor data from all modes of transportation to support applications in internet of things (IoT) and real-time visibility.
In turn, Millbrae, Calif.-based Cargo Chief will match that information with its database of freight loads, and alert brokers and transport companies about empty trucks in specific areas that are ready to drive a load. Information from the ghTrack database will also enable Cargo Chief to offer real-time tracking of its clients' truckload shipments, the company says.
The system could reduce the number of miles that American trucks travel at less than market rates or even empty, and help cut back on wasted fuel, time, labor, and excess pollution, Cargo Chief CEO Russell Jones said in a statement.
Cargo Chief will now use the GateHouse data to extend that model to a wider network of trucks, tapping into their ELD feeds to make intelligent matches between cargo loads and carriers, Jones said in an interview. "We'll know that a carrier named Tommy Ten-Trucks has a truck sitting in Oakland, whether it's at a truck stop or a known parking area. And now we can contact him and say 'It looks like this would be a perfect backhaul load for you and I'm offering $1,200'."
Despite the benefits of joining such a network, some carriers may cite privacy concerns and opt out of sharing their data with Cargo Chief, Jones said. But he said that the network will produce results even if just a portion of potential carriers sign up. "If they're running drugs for the Medellin Cartel, they don't have to share their data with Cargo Chief, but otherwise it would be irrational not to," Jones said. "We think we're going to get a bunch of carriers signing up, and we only need some of them, in order to access a whole new segment of capacity in a market this tight."
An online load matching network can be effective at revealing missed capacity, but many private and company owned fleets face a host of reasons for declining to share their capacity with other shippers, said Tony Wayda, supply chain practice senior director and principal at Boulder, Colo.-based, consulting firm SCApath LLC.
For example, some company owned fleets may not want to take on the additional risk or liability of hauling freight for other shippers because of concerns such as: moving chemicals or hazardous materials in their trailers, having their branded trailers seen at a competitor's DC, mingling their freight with other companies' freight, or the chance of getting delayed at a third-party dock, Wayda said.
However, the allure of applying the leverage of an online network to uncover hidden capacity in a tight market has encouraged many brokers and load board operators to pursue this goal for years, he noted. And the ability to tap into an existing system of ELDs to automatically capture pertinent data could now entice more carriers, 3PLs, owner-operators, and fleet owners to join.
The New Hampshire-based cargo terminal orchestration technology vendor Lynxis LLC today said it has acquired Tedivo LLC, a provider of software to visualize and streamline vessel operations at marine terminals.
According to Lynxis, the deal strengthens its digitalization offerings for the global maritime industry, empowering shipping lines and terminal operators to drastically reduce vessel departure delays, mis-stowed containers and unsafe stowage conditions aboard cargo ships.
Terms of the deal were not disclosed.
More specifically, the move will enable key stakeholders to simplify stowage planning, improve data visualization, and optimize vessel operations to reduce costly delays, Lynxis CEO Larry Cuddy Jr. said in a release.
German third party logistics provider (3PL) Arvato has agreed to acquire ATC Computer Transport & Logistics, an Irish company that provides specialized transport, logistics, and technical services for hyperscale data center operators, high-tech freight forwarders, and original equipment manufacturers, the company said today.
The acquisition aims to unlock new opportunities in the rapidly expanding data center services market by combining the complementary strengths of both companies.
According to Arvato, the merger will create a comprehensive portfolio of solutions for the entire data center lifecycle. ATC Computer Transport & Logistics brings a robust European network covering the major data center hubs, while Arvato expands this through its extensive global footprint.
The new funding brings Amazon's total investment in Anthropic to $8 billion, while maintaining the e-commerce giant’s position as a minority investor, according to Anthropic. The partnership was launched in 2023, when Amazon invested its first $4 billion round in the firm.
Anthropic’s “Claude” family of AI assistant models is available on AWS’s Amazon Bedrock, which is a cloud-based managed service that lets companies build specialized generative AI applications by choosing from an array of foundation models (FMs) developed by AI providers like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself.
According to Amazon, tens of thousands of customers, from startups to enterprises and government institutions, are currently running their generative AI workloads using Anthropic’s models in the AWS cloud. Those GenAI tools are powering tasks such as customer service chatbots, coding assistants, translation applications, drug discovery, engineering design, and complex business processes.
"The response from AWS customers who are developing generative AI applications powered by Anthropic in Amazon Bedrock has been remarkable," Matt Garman, AWS CEO, said in a release. "By continuing to deploy Anthropic models in Amazon Bedrock and collaborating with Anthropic on the development of our custom Trainium chips, we’ll keep pushing the boundaries of what customers can achieve with generative AI technologies. We’ve been impressed by Anthropic’s pace of innovation and commitment to responsible development of generative AI, and look forward to deepening our collaboration."
The Dutch ship building company Concordia Damen has worked with four partner firms to build two specialized vessels that will serve the offshore wind industry by transporting large, and ever growing, wind turbine components, the company said today.
The first ship, Rotra Horizon, launched yesterday at Jiangsu Zhenjiang Shipyard, and its sister ship, Rotra Futura, is expected to be delivered to client Amasus in 2025. The project involved a five-way collaboration between Concordia Damen and Amasus, deugro Danmark, Siemens Gamesa, and DEKC Maritime.
The design of the 550-foot Rotra Futura and Rotra Horizon builds on the previous vessels Rotra Mare and Rotra Vente, which were also developed by Concordia Damen, and have been operating since 2016. However, the new vessels are equipped for the latest generation of wind turbine components, which are becoming larger and heavier. They can handle that increased load with a Roll-On/Roll-Off (RO/RO) design, specialized ramps, and three Liebherr cranes, allowing turbine blades to be stowed in three tiers, providing greater flexibility in loading methods and cargo configurations.
“For the Rotra Futura and Rotra Horizon, we, along with our partners, have focused extensively on energy savings and an environmentally friendly design,” Concordia Damen Managing Director Chris Kornet said in a release. “The aerodynamic and hydro-optimized hull design, combined with a special low-resistance coating, contributes to lower fuel consumption. Furthermore, the vessels are equipped with an advanced Wärtsilä main engine, which consumes 15 percent less fuel and has a smaller CO₂ emission footprint than current standards.”
A growing number of organizations are identifying ways to use GenAI to streamline their operations and accelerate innovation, using that new automation and efficiency to cut costs, carry out tasks faster and more accurately, and foster the creation of new products and services for additional revenue streams. That was the conclusion from ISG’s “2024 ISG Provider Lens global Generative AI Services” report.
The most rapid development of enterprise GenAI projects today is happening on text-based applications, primarily due to relatively simple interfaces, rapid ROI, and broad usefulness. Companies have been especially aggressive in implementing chatbots powered by large language models (LLMs), which can provide personalized assistance, customer support, and automated communication on a massive scale, ISG said.
However, most organizations have yet to tap GenAI’s potential for applications based on images, audio, video and data, the report says. Multimodal GenAI is still evolving toward mainstream adoption, but use cases are rapidly emerging, and with ongoing advances in neural networks and deep learning, they are expected to become highly integrated and sophisticated soon.
Future GenAI projects will also be more customized, as the sector sees a major shift from fine-tuning of LLMs to smaller models that serve specific industries, such as healthcare, finance, and manufacturing, ISG says. Enterprises and service providers increasingly recognize that customized, domain-specific AI models offer significant advantages in terms of cost, scalability, and performance. Customized GenAI can also deliver on demands like the need for privacy and security, specialization of tasks, and integration of AI into existing operations.