Ben Ames has spent 20 years as a journalist since starting out as a daily newspaper reporter in Pennsylvania in 1995. From 1999 forward, he has focused on business and technology reporting for a number of trade journals, beginning when he joined Design News and Modern Materials Handling magazines. Ames is author of the trail guide "Hiking Massachusetts" and is a graduate of the Columbia School of Journalism.
While many companies are launching artificial intelligence (AI) products for use as generic “co-pilots” or consumer-focused gadgets, the Swedish enterprise resource planning (ERP) software vendor IFS says its “Industrial AI” version supports industry-specific processes in “hardcore” sectors based on assets such as power grids, cell phone networks, aircraft maintenance, elevator operation, and construction management.
“Industrial AI is at the very core the solutions we are powering for customers. They are pushing us for ready-to-use AI that they can adopt quickly to solve real industrial challenges like labor shortages, supply chain disruption, [and] stagnated productivity," IFS's Chief Customer Officer, Cathie Hall, said in a release.
In presentations at its user conference in Orlando today, known as "IFS Unleashed," the company said that its latest IFS Cloud 24R2 release supports more than 60 in-depth Industrial AI scenarios. They span generative AI examples like: content generation for training and reports; recommendations for sourcing and suppliers; and contextual knowledge for assembly instruction. The tools also include predictive AI applications like event forecasting; optimization of resources and capacity; and anomaly detection for proactive quality control.
In remarks from the keynote stage, new IFS CEO Mark Moffat—who was appointed to the top office in January—said the company may be less well known than ERP vendors such as SAP, IBM, Oracle, and Infor, but it benefits from a tighter focus on its core users. Instead of selling software across dozens of industries, IFS serves just six industries: aerospace and defense, construction and engineering, energy and utilities, manufacturing, service, and telecommunications.
Thanks to that tight approach, he said the company has earned top Gartner rankings for its software products in field service management (FSM), enterprise asset management (EAM), enterprise resource planning (ERP), and enterprise service management (ESM). And to compound that advantage, Moffat said IFS continues to grow swiftly through acquisition, having bought up a handful of companies in recent months: Assyst, Ultimo, Boka, empowermx, Bolo, Tobin, Merrick, and Copperleaf.
“You need an AI business plan” Moffat told the room. “If you have an AI business plan, that’s terrific, but you can improve it. This area is just moving so fast.”
The San Francisco tech startup Vooma has raised $16 million in venture funding for its artificial intelligence (AI) platform designed for freight brokers and carriers, the company said today.
The backing came from a $13 million boost in “series A” funding led by Craft Ventures, which followed an earlier seed round of $3.6 million led by Index Ventures with participation from angel investors including founders and executives from major logistics and technology companies such as Motive, Project44, Ryder, and Uber Freight.
Founded in 2023, the firm has built “Vooma Agents,” which it calls a multi-channel AI platform for logistics. The system uses various agents to operate across email, text and voice channels, allowing for automation in workflows that were previously unaddressable by existing systems. According to Vooma, its platform lets logistics companies scale up their operations by reducing time spent on tedious and manual work and creating space to solve real logistical challenges, while also investing in critical relationships.
The company’s solutions include: Vooma Quote, which identifies quotes and drafts email responses, Vooma Build, a data-entry assistant for load building, and Vooma Voice, which can make and receive calls for brokers and carriers. Additional options are: Vooma Insights and the future releases of Vooma Agent and Vooma Schedule.
“The United States moves approximately 11.5 billion tons of truckloads annually, and moving freight from point A to B requires hundreds of touchpoints between shippers, brokers and carriers,” Vooma co-founder, who is the former CEO of ASG LogisTech, said in a release. “By introducing AI that fits naturally into existing systems, workflows and communication channels used across the industry, we are meaningfully reducing the tasks people dislike and freeing up their time and headspace for more meaningful and complex challenges.”
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.
Commercial fleet operators are steadily increasing their use of GPS fleet tracking, in-cab video solutions, and predictive analytics, driven by rising costs, evolving regulations, and competitive pressures, according to an industry report from Verizon Connect.
Those conclusions come from the company’s fifth annual “Fleet Technology Trends Report,” conducted in partnership with Bobit Business Media, and based on responses from 543 fleet management professionals.
The study showed that for five consecutive years, at least four out of five respondents have reported using at least one form of fleet technology, said Atlanta-based Verizon Connect, which provides fleet and mobile workforce management software platforms, embedded OEM hardware, and a connected vehicle device called Hum by Verizon.
The most commonly used of those technologies is GPS fleet tracking, with 69% of fleets across industries reporting its use, the survey showed. Of those users, 72% find it extremely or very beneficial, citing improved efficiency (62%) and a reduction in harsh driving/speeding events (49%).
Respondents also reported a focus on safety, with 57% of respondents citing improved driver safety as a key benefit of GPS fleet tracking. And 68% of users said in-cab video solutions are extremely or very beneficial. Together, those technologies help reduce distracted driving incidents, improve coaching sessions, and help reduce accident and insurance costs, Verizon Connect said.
Looking at the future, fleet management software is evolving to meet emerging challenges, including sustainability and electrification, the company said. "The findings from this year's Fleet Technology Trends Report highlight a strong commitment across industries to embracing fleet technology, with GPS tracking and in-cab video solutions consistently delivering measurable results,” Peter Mitchell, General Manager, Verizon Connect, said in a release. “As fleets face rising costs and increased regulatory pressures, these technologies are proving to be indispensable in helping organizations optimize their operations, reduce expenses, and navigate the path toward a more sustainable future.”
Progress in generative AI (GenAI) is poised to impact business procurement processes through advancements in three areas—agentic reasoning, multimodality, and AI agents—according to Gartner Inc.
Those functions will redefine how procurement operates and significantly impact the agendas of chief procurement officers (CPOs). And 72% of procurement leaders are already prioritizing the integration of GenAI into their strategies, thus highlighting the recognition of its potential to drive significant improvements in efficiency and effectiveness, Gartner found in a survey conducted in July, 2024, with 258 global respondents.
Gartner defined the new functions as follows:
Agentic reasoning in GenAI allows for advanced decision-making processes that mimic human-like cognition. This capability will enable procurement functions to leverage GenAI to analyze complex scenarios and make informed decisions with greater accuracy and speed.
Multimodality refers to the ability of GenAI to process and integrate multiple forms of data, such as text, images, and audio. This will make GenAI more intuitively consumable to users and enhance procurement's ability to gather and analyze diverse information sources, leading to more comprehensive insights and better-informed strategies.
AI agents are autonomous systems that can perform tasks and make decisions on behalf of human operators. In procurement, these agents will automate procurement tasks and activities, freeing up human resources to focus on strategic initiatives, complex problem-solving and edge cases.
As CPOs look to maximize the value of GenAI in procurement, the study recommended three starting points: double down on data governance, develop and incorporate privacy standards into contracts, and increase procurement thresholds.
“These advancements will usher procurement into an era where the distance between ideas, insights, and actions will shorten rapidly,” Ryan Polk, senior director analyst in Gartner’s Supply Chain practice, said in a release. "Procurement leaders who build their foundation now through a focus on data quality, privacy and risk management have the potential to reap new levels of productivity and strategic value from the technology."
The practice consists of 5,000 professionals from Accenture and from Avanade—the consulting firm’s joint venture with Microsoft. They will be supported by Microsoft product specialists who will work closely with the Accenture Center for Advanced AI. Together, that group will collaborate on AI and Copilot agent templates, extensions, plugins, and connectors to help organizations leverage their data and gen AI to reduce costs, improve efficiencies and drive growth, they said on Thursday.
Accenture and Avanade say they have already developed some AI tools for these applications. For example, a supplier discovery and risk agent can deliver real-time market insights, agile supply chain responses, and better vendor selection, which could result in up to 15% cost savings. And a procure-to-pay agent could improve efficiency by up to 40% and enhance vendor relations and satisfaction by addressing urgent payment requirements and avoiding disruptions of key services
Likewise, they have also built solutions for clients using Microsoft 365 Copilot technology. For example, they have created Copilots for a variety of industries and functions including finance, manufacturing, supply chain, retail, and consumer goods and healthcare.
Another part of the new practice will be educating clients how to use the technology, using an “Azure Generative AI Engineer Nanodegree program” to teach users how to design, build, and operationalize AI-driven applications on Azure, Microsoft’s cloud computing platform. The online classes will teach learners how to use AI models to solve real-world problems through automation, data insights, and generative AI solutions, the firms said.
“We are pleased to deepen our collaboration with Accenture to help our mutual customers develop AI-first business processes responsibly and securely, while helping them drive market differentiation,” Judson Althoff, executive vice president and chief commercial officer at Microsoft, said in a release. “By bringing together Copilots and human ambition, paired with the autonomous capabilities of an agent, we can accelerate AI transformation for organizations across industries and help them realize successful business outcomes through pragmatic innovation.”