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Business Wire
16-07-2025
- Business
- Business Wire
Propel Software Survey Reveals Key Insights for Product Operations in Discrete Manufacturing
REDWOOD CITY, Calif.--(BUSINESS WIRE)-- Propel Software, creator of the first product value management (PVM) platform that transforms how businesses create, market, sell, and service products, today released findings from its State of Product Innovation 2025: AI Adoption and Collaboration Trends Across Four Industries research. The survey of 800 U.S. employees across industrial equipment, medical device, high tech and consumer goods industries, commissioned by Propel Software and conducted by Talker Research, found that lack of collaboration and disparate systems are negatively impacting product operations, including sourcing and production decisions, product quality, and speed to market. Propel Software survey reveals key insights for product operations in discrete manufacturing Share The survey found that collaboration is a challenge for all industries and product roles, with 49% of respondents saying their product teams (e.g. engineering, quality, supply chain) don't effectively collaborate among their own departments. Technology barriers were the main culprit, such as not having a common system or integrated systems that limit or prevent collaboration (55%). If they could address the collaboration issue, 23% believe it would mainly benefit product quality; 21% said it would allow for better production decisions. Collaboration between product and commercial teams was also an area of concern with 43% of respondents reporting ineffective collaboration between the two key stakeholder groups. As with the product team, technology barriers such as not having a common system or integrated systems that limit or prevent collaboration (58%) were top challenges. If they could address collaboration challenges, respondents believe it would improve product quality and allow products to get to market faster. Lack of collaboration business impacts Survey respondents across departments weighed in on top product innovation challenges including development, launch, and sales processes: Product Management Scoping the time and effort to develop new products or enhancements (24%) Managing product changes (22%) Coordinating across teams (15%) Marketing Having easier access to accurate and up-to-date product data (40%) Tools to compare product variants or configurations (35%) Better collaboration with product and engineering teams (33%) Sales Quick access to accurate, up-to-date product information (42%) Faster responses to customer product questions (42%) Improved coordination with product and marketing teams (41%) Additional role-specific findings: Quality/Regulatory: The biggest challenges related to system validation or compliance readiness respondents face are maintaining ongoing system compliance after upgrades or changes (34%), managing validation documentation and audit trails (22%) and keeping up with evolving regulations (17%). Supply Chain: When a key part becomes unavailable or is delayed, respondents currently search for alternatives manually (37%), escalate to the procurement or supplier manager (36%) or use ERP or sourcing platforms to find alternates (28%). Service/Support: Only 25% say they're always aware of changes to a product before interaction with customers or assets. 'Siloed departments and disconnected software solutions are no match for today's fast-paced market demands, and the urgency to innovate has never been greater,' said Ross Meyercord, CEO of Propel Software. 'With a secure data foundation and AI embedded into the core of a manufacturer's data architecture, companies can scale AI confidently to enhance collaboration, drive efficiency and bolster product operations. To minimize risk and maintain control, manufacturers should prioritize cloud-native, SaaS-based solutions that consolidate operations onto a single platform.' AI presents opportunities and apprehension Sixty-five percent of respondents are using AI in their product operations and seeing success. However, respondents also reported hesitancy to adopt AI within the systems they use for product-related operations because of data privacy or IP leakage concerns (34%), high cost/low ROI (28%) and a lack of trust in AI recommendations (27%). Other key AI usage statistics reported include: Respondents actively using AI and expanding investment: high tech (51%), industrial equipment (32%), consumer goods (26%) and medical devices (24%) Piloting or experimenting with AI in limited areas: consumer goods (34%), medical devices (33%), industrial equipment (32%) and high tech (31%) Those respondents actively using AI justify their AI investments through productivity gain (52%), ability to achieve a competitive advantage (50%), technology consolidation (35%), ability to reallocate resources (32%), direct expense reduction (28%) and ability to reduce headcount (23%). The State of Product Innovation 2025: AI Adoption and Collaboration Trends Across Four Industries survey responses were collected from 800 product management, design engineering, quality/regulatory, supply chain, sales, product marketing, service/support, and IT staff members in the industrial equipment, medical devices, high tech, and consumer goods industries in the U.S. Static and animated survey infographics are available for review here. About Propel Software Propel helps product companies grow revenue and increase business value. Our product value management platform connects commercial and product teams to optimize decision making, drive process efficiencies, and engage customers with compelling products and experiences. Propel has a proven track record of improving product quality, speeding time to revenue and profit, and improving customer satisfaction. Recognized as one of America's fastest growing private companies on the Inc 5000, Propel is also a Deloitte Technology Fast 500 winner, and one of Fortune America's Most Innovative Companies. Built on Salesforce, Propel drives product success for hyper growth startups, corporate pioneers, and Fortune 500 leaders in the high tech, medtech and consumer goods industries. For more information, visit and follow us on LinkedIn.
Globe and Mail
28-05-2025
- Business
- Globe and Mail
AI Innovations for Future-Ready Business Leaders
Event summary produced by The Globe and Mail Events team. The Globe's editorial department was not involved. AI is reshaping industries at an unprecedented pace, presenting organizations with both transformative opportunities and complex challenges. To stay ahead, business leaders and experts are seeking actionable insights on driving innovation, optimizing efficiency, and overcoming the hurdles of AI adoption. Success in this evolving landscape hinges on addressing critical factors such as regulatory compliance, ethical considerations, and seamless integration strategies—ensuring organizations unlock AI's full potential while mitigating risks. On Wednesday, May 21st, The Globe and Mail hosted a half-day hybrid event dedicated to exploring the most effective AI strategies in practice today. Through insightful discussions, industry leaders emphasized the importance of governance and safeguards while offering a forward-looking perspective on emerging innovations set to shape the future. Panelists and speakers shared groundbreaking solutions to help businesses maintain a competitive edge, providing strategies to enhance IT frameworks and maximize AI-driven investments. The event also spotlighted key themes such as data management and operational optimization, with thought-provoking conversations on harnessing AI for smarter decision-making and streamlined workflow efficiency. Missed the live event or would like to view it again? Scroll down to the video below. Speakers: The Globe and Mail presented the event with sponsor support from NOVIPRO Group. To learn about upcoming Globe and Mail events visit
Forbes
13-05-2025
- Business
- Forbes
10 Key Findings From AWS Generative AI Adoption Index
AWS GenAI Adoption Index For all the buzz about artificial intelligence reshaping work, concrete data on how it's happening has been scarce. That is starting to change. Amazon Web Services, in collaboration with Access Partnership, has released the "AWS Generative AI Adoption Index," an initiative to rigorously track AI's impact on organizations and their adoption strategies. Released this month, the index offers data-driven insight into how businesses incorporate generative AI into their operations. It is based on responses from over 3,739 IT decision-makers across nine countries rather than hypothetical projections. The goal is to provide executives with an empirical baseline for strategic decisions regarding AI, cutting through the hype with actual data on where AI is making an impact. Here are 10 key takeaways from the AWS Generative AI Adoption Index report: The index reveals that 45% of surveyed IT decision-makers ranked generative AI tools as their top budget priority for 2025, surpassing traditional priorities like security tools (30%). This shift underscores a growing focus on AI-driven innovation and growth across organizations. Impact: Businesses should carefully balance innovation and security when allocating IT budgets, ensuring AI adoption doesn't compromise their security posture. A remarkable 60% of organizations have already appointed Chief AI Officers, with another 26% planning appointments by 2026. This trend reflects a fundamental shift in how organizations view AI—not merely as another technological tool but as a breakthrough requiring strategic oversight at the highest levels. Impact: Organizations should consider establishing clear AI leadership roles to ensure coordinated, strategic implementation across departments. While 90% of organizations now deploy generative AI tools, 44% have advanced beyond early testing to production deployment. Organizations conducted an average of 45 AI experiments in 2024, but only 20 will reach end-users by 2025, highlighting implementation challenges. Impact: Companies should focus on bridging the gap between experimentation and production by addressing technical and organizational barriers. Organizations identify lack of skilled AI workforce as the biggest barrier (55%) preventing them from taking generative AI experiments into production. Other challenges include perceived high costs (48%) and concerns about biases and hallucinations (40%). Impact: Organizations need comprehensive talent strategies that combine hiring, training and partnership with external experts. Rather than developing solutions from scratch, most organizations customize pre-existing AI models to fit their workflows and datasets. Only 25% intend to deploy solutions developed in-house from scratch, while 58% plan to build custom applications on out-of-the-box models. Impact: Businesses should evaluate their specific needs to determine the optimal blend of custom development and ready-made solutions. Interestingly, 44% of financial services firms plan to use out-of-the-box solutions, departing from traditional custom development approaches. This reflects the growing recognition of the benefits of faster deployment and access to advanced AI capabilities that out-of-the-box applications can offer. Impact: Even heavily regulated industries can benefit from pre-built AI solutions with appropriate customization and oversight. External partners are emerging as key enablers of AI transformation, with 65% of organizations planning vendor collaboration for deployment. Strong partnerships between external expertise and internal capabilities will be critical for successful generative AI deployment. Impact: Organizations should develop strategic partnerships with vendors who can provide both technology and implementation expertise. To address the talent gap, 56% of organizations have already developed generative AI training plans, with another 19% planning to do so by end-2025. However, 52% report that a limited understanding of employees' AI training needs is the top challenge in developing these plans. Impact: Companies should conduct thorough skills assessments before designing AI training programs. In 2025, 92% of organizations plan to recruit for new roles requiring generative AI expertise. For 26% of those surveyed, at least half of new positions will demand AI skills, with the ICT sector leading this trend at 35%. Impact: Organizations should begin developing AI-focused recruitment strategies immediately to compete for limited talent. While only 14% of organizations currently have a change management strategy for AI adoption, this will increase to 76% by end-2026. However, a concerning 24% will still lack formal transformation strategies by then. Impact: Businesses must develop comprehensive change management approaches that address operating models, data practices and organizational culture to successfully integrate AI. Looking forward, the AWS study suggests that generative AI's role in the workplace will continue to evolve and expand. Organizations that view AI as a collaborative partner rather than a replacement technology will be best positioned to capture its benefits. Success will require ongoing investment in workforce training, careful attention to emerging AI capabilities and a commitment to fostering a culture that embraces AI-human collaboration. The key to thriving in this new landscape lies not in wholesale automation but in thoughtful integration that enhances human capabilities while preserving the unique value that human workers bring to their roles. Organizations that master this balance will be best positioned to compete in an increasingly AI-enhanced business environment.
Times of Oman
08-05-2025
- Business
- Times of Oman
Scientific symposium explores AI's role in business management
Ibri: The College of Economics and Business Administration at the University of Technology and Applied Sciences in Ibri on Thursday organised a specialised scientific symposium titled "Artificial Intelligence in Business Management." The event was held under the auspices of Dr. Ahoud Said Al Balushi, Member of the State Council. The symposium aimed to discuss the rapid transformations driven by AI technologies across business management fields, showcase national experiences, and examine opportunities and challenges in AI adoption while forecasting its future roles in employment and workplaces. Dr. Al Ameer Nasser Al Alawi, Assistant Vice Chancellor of UTAS-Ibri, stated: "AI has become an undeniable reality—no longer a luxury but a strategic tool enabling institutions to enhance operational efficiency, support decision-making, optimise resource management, and deliver exceptional services aligned with modern societal aspirations."
