Emerj Artificial Intelligence Research

Emerj CEO Dan Faggella talks AI in politics on WSBA Morning News https://lnkd.in/gvAHYYdi

“AI at AXA - Two Use Cases” https://lnkd.in/ea3tE7mX AXA is one of the largest insurance companies in the world by market cap and revenue. This article examines two timely AI use cases at AXA, including: - Workforce upskilling - Predicting significant traffic accidents Among many areas of the global economy, AI stands to revolutionize the insurance industry by enhancing risk assessment, streamlining processes, and optimizing customer experiences. #AI #artificialintelligence #insurance #applications #usecases

"Strategic Adoption of Large Language Models and Generative AI - with Asif Hasan of Quantiphi" https://lnkd.in/dTGJapAQ In the past year, the impact of large language models and generative AI on everyday American households has become starkly apparent, offering both challenges and opportunities for enterprises. Beyond the awareness of platforms like ChatGPT, misunderstandings about their fundamental nature pose risks, including the potential for misinformation 'hallucinations.' Emerj Artificial Intelligence Research CEO and Head of Research Daniel Faggella engaged in a conversation with Quantiphi Co-founder Asif Hasan on the AI in Business podcast. Together, they explore how business and financial leaders should perceive the evolving role of these technologies in the global economy over the next half-decade: #AI #MachineLearning #FinancialServices #LLMs #CognitiveWork #TechInnovation

“Winning Buy-In for Private and Public Sector Projects - with Dr. Raghav Vadhera of Raytheon Technologies” https://lnkd.in/d_MacVm Dr. Raghav Vadhera, Lead Technical Architect for AI/ML Platform & Services at Raytheon Technologies, joins today's episode of the '#AIinBusiness' podcast. As an expert in AI and machine learning, Dr. Vadhera offers valuable insights for business leaders navigating the complexities of private-public partnerships. He discusses the challenges of aligning objectives, regulatory compliance, financial constraints, and cultural differences. Dr. Vadhera emphasizes the importance of evidence-based approaches in driving AI adoption within the public sector. His guidance highlights how these approaches can enhance decision-making, improve transparency, and streamline operations. Listeners will gain a deeper understanding of the essential criteria for successful AI implementation in public sector initiatives. Dr. Vadhera's expertise provides a roadmap for overcoming common obstacles and achieving effective integration of AI technologies. #AI #MachineLearning #BusinessPodcast #PublicSector #AIAdoption #EvidenceBased #DecisionMaking #Transparency #Operations #RegulatoryCompliance #FinancialConstraints #CulturalDifferences #AIIntegration #Technology #Innovation #Partnerships

Great to see that Sage’s recently published research article on “Soft Biometrics in Retail Service: Understanding Privacy Paradox and Cross-Cultural Differences Regarding 3D Body Scanning Technology” (https://lnkd.in/dVHBbEQp) references our Emerj Artificial Intelligence Research article on “Artificial Intelligence at Nike – Two Current Use-Cases” (https://lnkd.in/gNQkuzQh). The cited Emerj article explores how Nike, founded in 1964 and now worth $245B, uses AI to enhance customer fit and personalize experiences. From computer vision to data science, read to find out more about how Nike leads in the consumer goods space by driving the latest technological capabilities. Extra thanks to authors Song-yi Youn and Chi-Cheng Luan. #ArtificialIntelligence #AI #BusinessIntelligence #Analytics #ConsumerGoods #Logistics

Emerj CEO Daniel Faggella joins the Future of Life Institute podcast. He discusses AGI creation, AI's impact on power dynamics, progress drivers, and industry adoption. https://lnkd.in/d5KrYP3C

“Driving Efficiencies Across the Life Sciences Value Chain with AI in Drug Development - with Nishtha Jain of Takeda” https://lnkd.in/dWcvMCAs On the ‘#AIinBusiness’ podcast, Takeda Head of Innovation and Digital Technology Nishtha Jain explains to Emerj Artificial Intelligence Research Senior Editor Matthew DeMello the enormous step level changes AI capabilities are bringing to drug targeting and discovery processes: “So, now the interesting thing, though, is that we have seen the success rate of these AI-discovered drugs as of December 2023. So this is the latest data that one of the AI-discovered molecules has completed phase one trial with a success rate of 80 to 90%. Again, which is significantly higher than some of the historical industry average of 40 to 65%. So, we have seen that improvement again. It's just a perspective it sheds light on [how] it's gotten to phase one, let's see where it goes – but there is a better success rate.”

“Approaching Life Sciences and Retail Challenges from a Data Perspective - with Alberto Rizzoliof V7” https://lnkd.in/eBtTYxTn Among enterprise AI capabilities emerging since the end of pandemic, a great example of converging trends in this regard can be found throughout retail and manufacturing deployments of computer vision cited in the article below. As becomes evident when these problems are viewed from a data perspective, the same data solutions - in these cases, computer vision – can work in service to different business goals and environments, bringing out context-specific results depending on needs and training. This article analyzes a recent conversation between Emerj Artificial Intelligence Research Senior Editor Matthew DeMello recently spoke with Alberto Rizzoli, Co-founder and CEO of V7 Labs, on the 'AI in Business' podcast. The text reveals two key insights relevant to leaders in both and adjacent sectors on how new generative AI and NLP-based tools can be deployed in contexts across life sciences and retail to solve the similar business problems as those problems are revealed through data: - Making AI self-reliant for data labeling - Tailoring AI solutions to the unique needs of the retail #AI #artificialintelligence #retail #manufacturing #computervision #datalabeling #labeling #productlabeling #modeldevelopment #genAI #generativeAI #data #datamanagement #datagovernance

“An Enterprise Innovation Leader’s Guide to Successful AI Adoption” https://lnkd.in/gT8bQFS In this best-practice guide, we focus on AI procurement and adoption from the perspective of enterprise leaders themselves. At Emerj Artificial Intelligence Research, our work with enterprise innovation and strategy leaders has highlighted their pivotal role in technology adoption and deployment projects. These forward-thinking professionals, often holding titles such as VPs, directors, or heads of innovation and strategy, are well-versed in understanding AI's potential. Dive in to discover the five essential steps for successful AI deployment: - Assessing AI Readiness - Aligning Long-term Goals - Matching AI to Needs - Crafting the Business Case - Delivering AI Value Stay ahead of the curve and master AI deployment with our comprehensive guide by unlocking our resource library at emerj.com/p1. #AI #BusinessLeadership #EnterpriseInnovation #EmergingTech

“Addressing the Field Services Brain Drain - with Joe Meloche of Atlas Copco” https://lnkd.in/d_MacVm Joe Meloche, Business Line Manager for Service in North America at Atlas Copco, joins the ‘#AIinBusiness’ podcast today to discuss the challenges facing field service leaders, highlighting obstacles related to new equipment and the industry's multi-decade "brain drain" impacting workforce and hiring. His conversation with Emerj Artificial Intelligence Research Senior Editor Matthew DeMello explores how service organizations can leverage AI to capture and utilize ‘tribal knowledge.’ Throughout, Joe emphasizes the importance of systematic documentation, especially in large enterprises where local problem-solving often goes unrecorded. This insightful discussion provides valuable strategies for field service leaders to navigate current challenges and optimize their operations through AI. #FieldService #WorkforceChallenges #BrainDrain #NewEquipment #AI #TribalKnowledge #Expertise #DeepInsights #LargeEnterprises #SystematicDocumentation #ServiceOrganizations #OperationalEfficiency #IndustryChallenges #ServiceLeaders #AtlasCopco