Procurement Sciences的动态

?????????????????????? ??????????????: Are you maximizing your procurement ROI? The industry benchmark for ROI sits around 350%, but best-in-class organizations are achieving up to 850%. How close are you to unlocking these savings? Limelight Intelligence helps procurement teams drive higher ROI with our generative AI solution by offering: ? ???????????????? ????????????????????????: Identify untapped savings, including early payment discounts and opportunities to renegotiate terms. ? ????????-???????? ?????????? ????????????????: Assess savings opportunities in real-time and make data-driven renegotiation decisions. ? ????????????????????: Shorten purchase order cycles and streamline workflows to accelerate time-to-value. ? ???????????????? ?????????????????????? ????????????????: Leverage AI insights to ensure suppliers are meeting expectations and delivering value. Ready to boost your procurement ROI? Visit our website or schedule a demo to see how Limelight can help you achieve best-in-class results: LimelightIntelligence.com. #Procurement #ProcurementROI #ContractManagement #AI #CostSavings?

?? The Future of AI in 2035 ?? - Rapid Evolution: AI, first coined in 1956, has evolved significantly, becoming a pivotal part of our world today. - Productivity Boost: Envisioned to increase labor productivity by 40%, AI simplifies work processes and fosters business growth. - Industry Impact: From defense to healthcare and automotive sectors, AI research and development is revolutionizing operations. - Defense Advancements: AI enhances military missions, cybersecurity, and threat prediction, ensuring strategic superiority. - Healthcare Innovations: AI minimizes errors, aids in diagnosis, and accelerates drug discovery, leading to improved patient outcomes. - Automotive Revolution: AI-driven innovations lead to safer vehicles, optimized manufacturing, and enhanced driving experiences. Stay tuned as we explore AI's transformative potential and its implications for the future! https://lnkd.in/gAq-dGVc #AI #Innovation #FutureTech #government #governmenttech #governmentinnovation

?? Ep. 56/2024 - ?????????? ?????????? ???? ?????????????????? ???? ????????????? - While an "I-shaped" knowledge could be a flexibility/relationship problem for several reasons, the answer to this question depends on the point of view: ??our internal resources ??our supplier's resources ?? ?????? "?????? ???????????????? ??????????????????" ?????????? ???? ???????? Fostering a "V-shaped" knowledge may be the best choice. We should let our people go deeper in one main area of knowledge, and we should also invest/manage to nurture other areas of knowledge in them. This is important because: ?? 1 - A company is an ecosystem of functions and I need a certain knowledge of my colleagues work to create an effective teamwork with them. How deep my knowledge of their work should be depends on the type of activity we do together and on the level of interface between us, e.g. do we just need an input-output model or we should we work together as a team for a common goal? ?? 2 - We should take care of our people and foster their growth, also about their knowledge. People are the "treasure" of a company (even with the advent of AI), it's in a company's interest to invest in the growth of its people with a medium-long term perspective. ?? ?????? "?????? ????????????????'?? ??????????????????" ?????????? ???? ???????? What do we need from a supplier's resources? We need: ?? ?????????????????? ?????? ?????????????????? - The knowledge and expertise in their role and in the products, methodologies and best practices they will be working with ?? ???????????????????? ?????????????? - The ability to effectively integrate and interface with other resources, roles and with others' activities, both of the supplier itself and/or of the customer ?? ???????????????????? ???????????? - The ability to manage activities, time and costs, both their own and, for coordination roles, those of the people they manage. This aspect goes beyond the mere execution of a task and directly affects the quality of work and the achievement of goals & expected results. In order to ensure all the above characteristics and the quality/results of the activities/services of the contract (e.g. a project), the supplier must involve resources with (at least) a T-shaped or M-shaped knowledge... and as a customer, we should pretend that from our supplier. ?? In terms of internal (our own) or external (supplier's) resources, we should consider that we have a long-term relationship with our people and any investment in our people is an investment in our company. On the other hand, the duration of our relationship with a supplier is the duration of its contract, the investment on its people and their involvement within the contract is its own entrepreneurial responsibility. Credit for the image to Jeroen Kraaijenbrink Credit for I, T, M and V, to Mike Dyne What do you think? Add your thoughts and comments ? Share it, spread information and ideas ?? ----- #micheleromano

This edition of our Technical Training Matters newsletter includes advice to help you optimize your industrial L&D program from budget to business objectives.

FutureCIO editorial opportunity - 7 May 2024 Bring Your Own Foundational Model - tough questions I am looking for experts who have experience around BYOFM and can answer some (I am aware the list below is long) to some of these questions: 1. How does BYOFM align with a CIO’s technology strategy and business goals? 2. What value can BYOFM bring to an organization in terms of innovation and efficiency? 3. What security measures should be in place to ensure that external foundational models are safe and compliant? 4. How should CIOs/CISOs/compliance offer handle data privacy and intellectual property concerns related to BYOFM? 5. How easily can external foundational models integrate with existing systems and processes? 6. What steps are needed to ensure seamless interoperability? 7. What are the financial implications of adopting BYOFM? 8. How should enterprises allocate resources for model integration, maintenance, and updates? 9. Given that AI is still relatively new, how should CIOs evaluate external foundational model providers for reliability, performance, and support? 10. What criteria will guide them in their vendor selection process? 11. Who should have responsibility for managing and maintaining BYOFM within an organization? 12. What governance framework will ensure effective oversight? 13. What should be in place to ensure that BYOFM can scale to meet an enterprise’s future needs? 14. What performance benchmarks should be in place for external models? 15. How should organisations approach the upskilling of staff to ensure the effective use of foundational models – both internal and external? 16. What training programs are necessary? 17. What risks are associated with BYOFM (e.g., bias, model drift)? 18. How can organisations proactively address these risks? 19. Any best practice for communication BYOFM adoption to stakeholders and end-users? 20. What change management strategies will facilitate smooth implementation? Deadline: 21 May 2024 Interested parties please email me @work directly. Clarise Goh Nigel Standley Perry Zhao Christine T. Verro Rizaldi Sukhpreet Kaur Allan Tan CXOCIETY FutureCIO #artificialintelligence #generativeAI #foundationalmodels #bringyourownfoundationalmodel

Your RIM solution and your digital transformation: As 2024 approaches, strategic planning is key to getting the most ROI from your digital transformation. At fme, we emphasize aligning digital strategies with business objectives. In this article, we provide actionable insights for anyone involved in regulatory transformation projects, outlining crucial considerations for a successful digital journey. #DigitalTransformation #LifeSciences

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How a digital X-Ray of your business processes can boost business efficiency and drive improvement in many areas. Great article with some great use cases within...definitely worth reading:

Revolutionizing Proposal Management: The Role of Custom GPTs in Enhancing Efficiency and Accuracy #ProposalManagement #GapAnalysis #RiskAssessment #BiddingProcess #AwardCriteria #TeamCollaboration #CustomGPT #InnovationInBidding In the dynamic world of proposal management, where precision and strategic insight are key, leveraging advanced tools like Custom Generative Pre-trained Transformers (GPTs) is becoming increasingly crucial. Let's explore how Custom GPTs can transform various aspects of proposal management, from gap analysis to award evaluation. 1. Gap Analysis: Identifying Opportunities with AI Precision Gap analysis in proposal management involves identifying the difference between current capabilities and RFP requirements. Custom GPTs can analyze the RFP for your strengths to highlight gaps. 2. Risk Assessment: Predictive Insights for Proactive Planning Evaluating potential risks is a pivotal part of proposal preparation. Custom GPTs, trained on historical data and industry-specific risk factors, can predict potential challenges, providing a comprehensive risk assessment. 3. Qualified Bidders: Streamlining the Selection Process Determining qualified bidders is crucial for ensuring competitive and capable responses to RFPs. Custom GPTs can assist in evaluating bidder qualifications against RFP criteria, ensuring that only the most suitable candidates are considered. 4. Award Evaluation Criteria: AI-Enhanced Decision Making Understanding and meeting the award evaluation criteria is vital for proposal success. Custom GPTs can interpret complex criteria, offering guidance on effectively aligning proposals with these requirements. 5. Needed Teaming: Facilitating Effective Collaborations Successful proposals often require collaboration with other entities. Custom GPTs can suggest potential partners based on capabilities, past performance, and alignment with RFP requirements. 6. Custom GPTs: Your Strategic Proposal Partner Custom GPTs offer a transformative approach to proposal management. They provide: Automated Analysis: Rapidly analyze RFPs and existing resources for efficient gap analysis. Risk Prediction: Anticipate and mitigate risks based on data-driven insights. Bidder Profiling: Evaluate and recommend qualified bidders efficiently. Criteria Alignment: Ensure proposals meet or exceed award evaluation criteria. Strategic Teaming Recommendations: Identify and suggest potential partners for collaborative bids. Custom GPTs are not just tools; they are strategic partners that bring a new level of efficiency, accuracy, and insight to proposal management. #AIInnovation #FutureOfBidding #StrategicProposalManagement Interested in exploring how Custom GPTs can elevate your proposal management process? DM Scott Pfeiffer to explore innovative solutions.

This edition of our Technical Training Matters newsletter includes advice to help you optimize your industrial L&D program from budget to business objectives.