Emerj Artificial Intelligence Research

“Procurement Data for Business Intelligence in Life Sciences - with Jennifer Sieber of Gilead, Len DeCandia of Johnson & Johnson, and Edmund Zagorin of Arkestro” https://lnkd.in/gBrG9eHd AI is revolutionizing procurement by enabling teams to shift focus toward strategic activities while delivering cost savings and strengthening supplier relationships. A study by MIT Sloan Management Review highlights how companies using automated procurement negotiations consistently save money compared to traditional methods. Automation enhances supply chain resilience by identifying more qualified suppliers and improving buyer productivity through streamlined workflows. EY Canada’s findings reinforce these benefits, showing how AI-based negotiations improve working capital and facilitate win-win outcomes. By considering multiple negotiation elements beyond price, AI tools enable scalable, impactful deals. One case study reveals that a retailer achieved 1.5% savings on negotiated spend and extended payment terms by 35 days using AI chatbots. Emerj Senior Editor Matthew DeMello recently explored these trends with Jennifer Sieber of Gilead Sciences, Len DeCandia of Johnson & Johnson, and Edmund Zagorin of Arkestro. Their conversation emphasizes the need for procurement to embrace digital tools, specialize in supplier management, and adopt proactive strategies. AI-driven solutions not only streamline procurement processes but also break down silos, driving operational efficiency across supply chains. The following analysis examines two critical insights from their conversation: - Transforming procurement into a strategic hub for the enterprise - Eliminating silos and redundancies for driving operational efficiency #Procurement #AIinBusiness #SupplyChain #DigitalTransformation #AI #PredictiveAnalytics #SupplyChainManagement #OperationalEfficiency #Automation #StrategicProcurement #ProcurementInnovation #CostSavings #SupplierManagement #BusinessTransformation #AIinProcurement

“Solving Data Management Challenges in Third-Party Logistics (3PL) Spaces – with Vladimir Gofaizen of Wineshipping” https://lnkd.in/d5ejWjM8 In a wide-ranging interview with Emerj Artificial Intelligence Research, Vladimir Gofaizen, Director of IT Engineering at Wineshipping, shares his experience with the growing pains of scaling modern data platforms like Databricks or Snowflake. He explains how his team navigated performance, disaster recovery, and best practices challenges while managing 15 terabytes of data across systems that required near-live access. With expert support, Vladimir’s team overcame these hurdles, achieving efficient and reliable data integration. #AI #DataArchitecture #Logistics #SupplyChain #DataStrategy #DigitalTransformation #DataManagement #CloudPlatforms #DataEngineering #PerformanceOptimization #DisasterRecovery #OperationalEfficiency #Wineshipping #NLPLogix #Innovation

Many thanks to the National Library of Medicine (NLM) for referencing our Emerj Artificial Intelligence Research article on “Artificial Intelligence in Sports – Current and Future Applications” (https://lnkd.in/eGxxpaj) in their recently published research article on “Artificial Intelligence Approach in Biomechanics of Gait and Sport: A Systematic Literature Review” (https://lnkd.in/gD5byMFQ). This Emerj article examines how AI is transforming professional sports, from chatbots to computer vision, exploring current trends, applications, and future possibilities in the industry. Extra thanks to authors Rozhin Molavian, Ali Fatahi, Hamed Abbasi, and Davood Khezri. #AI #ArtificialIntelligence #BusinessIntelligence #Analytics #Entertainment #CustomerService #Media

"AI in Insurance Executive Cheat Sheet" https://lnkd.in/dViuV2n With Emerj Artificial Intelligence Research's brief 9-page 'AI in Insurance: Executive Cheat Sheet' PDF guide, insurance professionals can quickly grasp key concepts and apply actionable insights to their career immediately, focusing on three key areas: - The three critical functions of artificial intelligence most utilized in transforming insurance workflows today. - Six present-day use cases of AI from global insurance firms like AXA and GEICO. - Insurance-specific advice for data preparation and steps to successfully adopt AI. #AI #insurance #usecases

“Identifying and Mitigating Bias in AI Models for Recruiting – with Jason Safley of Opptly.” https://lnkd.in/dXt9FRCv Jason Safley, Chief Technology Officer at Opptly., recently sat down with Emerj Artificial Intelligence Research Senior Editor Matthew DeMello to explain how AI can transform hiring by focusing on skills rather than traditional credentials. Jason’s personal journey to the CTO role without a college degree underscores the value of skills DNA over static qualifications. Opptly’s AI dives deeper into resumes to identify both explicit skills and inferred capabilities, enabling a fairer and more comprehensive hiring process. #SkillsBasedHiring #AIinBusiness #WorkforceInnovation #HiringIntelligence #SkillsDNA #EthicalAI #AILeadership #TechCareers #ResumeEvolution #AIInRecruitment #AIModels #HRTechnology #WorkforceStrategy #FutureOfWork #TalentAcquisition

“AI for Driving Quality Customer Interactions in Distributor Models - with Joshua Haddock with Herbalife and Peter Mullen of Interactions” https://lnkd.in/dNXdwF5w Artificial intelligence continues to transform industries worldwide, but its ability to replicate genuine empathy and human connection remains limited. Research from MIT Sloan and CCW Digital reveals a troubling trend: while AI-driven workflows were initially expected to improve customer interactions, only 7% of consumers report better experiences, and 55% feel interactions have worsened. This decline underscores the challenge of meeting customer expectations for human connection in an increasingly automated landscape. A KPMG report, "Artificial Intelligence and the orchestrated customer experience," highlights empathy as a critical pain point. Despite its potential, technology struggles to deliver the nuanced understanding that drives trust and satisfaction. However, AI offers a path forward by analyzing customer data for deeper insights into emotions and needs, paving the way for businesses to address the empathy gap effectively. Emerj Senior Editor Matthew DeMello recently explored these challenges and solutions with Joshua Haddock, Director of Contact Center Technology at Herbalife, and Peter Mullen, Chief Marketing Officer at Interactions. Their discussion focused on three strategies for improving customer experiences: - Prioritize quick escalation in self-service failure - Evaluate tools beyond features — focus on usability and reporting instead - Enhance customer experience with AI-assisted wait times #AI #ArtificialIntelligence #CustomerExperience #CXTrends #AIinCX #EmpathyInTechnology #SelfService #AIinBusiness #CustomerEngagement #Personalization #DigitalTransformation #AIInsights #HumanConnection #ContactCenters #Automation

“Solving Healthcare Challenges with AI Infrastructure - with Kimberly Powell of NVIDIA” https://lnkd.in/d_MacVm Today’s guest on the ‘#AIinBusiness’ podcast is Kimberly Powell, Vice President of Healthcare and Life Sciences at NVIDIA. Kimberly shares her insights on the transformative role of AI in healthcare and discusses how the rapid adoption of generative AI is driving significant changes, particularly in addressing the technological challenges faced by the industry. Powell highlights the necessity of hybrid strategies that integrate on-premise and cloud computing solutions. These approaches are essential for enabling real-time data processing across medical imaging, clinical operations, and other critical areas. By combining these technologies, healthcare organizations can enhance operational efficiency and improve patient care. The discussion underscores the pressing need for robust infrastructure to support advanced AI applications. Powell's expertise sheds light on the path forward for leveraging AI to meet the evolving demands of the healthcare sector. #AI #artificialintelligence #HealthcareInnovation #GenerativeAI #NVIDIA #DataProcessing #MedicalImaging #CloudComputing #HybridInfrastructure #LifeSciences #ClinicalOperations #PatientCare #TechnologyIntegration #OperationalEfficiency #DigitalHealth #AIinHealthcare

“Solving Data Management Challenges in Third-Party Logistics (3PL) Spaces – with Vladimir Gofaizen of Wineshipping” https://lnkd.in/d5ejWjM8 In a recent interview for Emerj Artificial Intelligence Research, Vladimir Gofaizen, Director of IT Engineering at Wineshipping, emphasizes the importance of a unified data platform as more than a tool for consolidating sources. Instead, it serves as the foundation for scalable collaboration and faster integration of data across systems. Moving beyond legacy systems, Vladimir highlights the need to democratize data access and involve stakeholders earlier in the process, ensuring long-term sustainability and operational efficiency: #AI #DataPlatform #Logistics #BigData #DataManagement #Innovation #DigitalTransformation #LegacySystems #Collaboration #OperationalEfficiency #CustomerExperience #DataEngineering #DataStrategy #Wineshipping #NLPLogix

“Lessons from Microsoft’s Responsible AI Journey - with Dean Carignan of Microsoft” https://lnkd.in/d_MacVm Today’s guest on a special OneTrust sponsored ‘#AIinBusiness’ podcast is Dean Carignan, Partner Program Manager in Microsoft’s Office of the Chief Scientist. Dean brings insights from his upcoming book, The Insider’s Guide to Innovation at Microsoft, offering a deep dive into the company’s journey and foundational principles for Responsible AI (RAI). Throughout this episode, Dean and Emerj Artificial Intelligence Research Senior Editor Matthew DeMello explore the pillars that guide Microsoft’s AI initiatives: Fairness, Reliability & Safety, Privacy & Security, Inclusiveness, Transparency, and Accountability. These principles form a framework designed to ensure that AI aligns with ethical standards and safeguards user trust, which Dean likens to an “enterprise AI Constitution.” Dean’s approach emphasizes the essential role of RAI in building resilient, transparent AI systems that drive positive impact. For leaders navigating the evolving AI landscape, his insights offer a powerful blueprint for principled, secure, and fair AI adoption. #ResponsibleAI #Microsoft #AIethics #Innovation #DigitalTransformation #AIgovernance #Privacy #Transparency #Accountability #ArtificialIntelligence #DataSecurity #Inclusion #EnterpriseAI #AIprinciples #AIleadership

“Developing AI ‘Behind the Curtain’ for Financial Services” - with Nathaniel Bell of Wells Fargo” https://lnkd.in/d8gHkx4G The financial services industry faces distinct challenges in adopting AI, requiring more than rapid technological implementation. Reliable AI systems depend on foundational efforts in data management and governance, which are essential to mitigating risks, maintaining trust, and aligning AI initiatives with business objectives in a data-driven world. On Emerj Artificial Intelligence Research's ‘#AIinBusiness podcast, Nate Bell, Corporate Functions Business Data Leader at Wells Fargo, shared critical insights on navigating these challenges. He highlighted two often-overlooked priorities for financial leaders: - Viewing data management as an AI investment. - Managing AI risk through oversight boards. These steps are vital for achieving AI success while safeguarding reliability and trust. This article analyzes Nate’s views on the role of automation tools in managing data at scale and the dangers of overconfidence in AI outputs. His insights underscore opportunities for financial services leaders to refine AI strategies, balancing innovation with careful oversight to drive sustainable success. #AIinBusiness #FinancialServices #AIAdoption #DataManagement #Governance #RiskMitigation #Automation #TrustInAI #AIInnovation #EmergingTechnologies #AIAccountability #BusinessStrategy #DigitalTransformation #PodcastInsights #AITrends