Emerj Artificial Intelligence Research

“Driving Synergies Between Software Development and Data Science Teams in the Analytics Space - with Yigal Edery of Sisense and Tsavo Knott of Pieces” https://lnkd.in/dNRVSrzb Collaboration between software development and data science teams drives enhanced decision-making, improved efficiency, and aligned business goals. Research from the University of Rio de Janeiro underscores the need to address challenges in this synergy, like differing technical expertise and role clarity. Fostering a collaborative culture and strengthening communication are pivotal to overcoming these barriers. Another study by Microsoft and the University of California highlights that integrating data science in software workflows boosts productivity and quality through insights from user behavior data. Yet, data scientists face challenges with tool compatibility and data quality, particularly when relying on SQL, R, and Python. Emerj Senior Editor Matthew DeMello recently interviewed Yigal Edery, SVP of Product and Strategy at Sisense, and Tsavo Knott, CEO of Pieces, to discuss how AI tools can transform development workflows. This analysis of their conversation sheds light on key strategies in two critical areas for development leaders: - Fostering a collaborative data culture - Implementing AI-driven error management systems #DataScience #SoftwareDevelopment #AI #MachineLearning #TeamCollaboration #DataDriven #Productivity #CodingEfficiency #DecisionIntelligence #ErrorManagement #TechInnovation #BusinessStrategy #Emerj #Sisense #Pieces

Grateful to see that ACM, Association for Computing Machinery’s recently published research article, “Embedding Optimization for Training Large-scale Deep Learning Recommendation Systems with EMBark,” (https://lnkd.in/dYh7J_pf) references our Emerj Artificial Intelligence Research article on “Use Cases of Recommendation Systems in Business – Current Applications and Methods” (https://lnkd.in/dfbv4FQj). Our research explains how recommendation systems are transforming eCommerce by personalizing user experiences and boosting ROI for companies like Amazon, Netflix, and Best Buy. Extra thanks to authors Shijie Liu, Nan Zheng, Hui Kang, Xavier Simmons, Junjie Zhang, Matthias Langer, Wenjing Zhu, Minseok Lee, and Zehuan Wang. #AI #ArtificialIntelligence #eCommerce #ConsumerGoods #Marketing #Advertising #Entertainment

Last night a member of the United Nations Secretary General's #AI council ranted to me via phone about the implications and risks of artificial general intelligence (AGI). He spoke about the international tensions between the US and China, the race dynamics between the major western AGI labs. He's clearly of the belief that this is the most important potential event in human history - and that there are many ways it could go wrong. I ask: "I agree, why don't you talk about this at the UN?" Him: "Well, I don't want to look weird." I now have 3 members of the UN's AI group who have said this to me. We have an issue in the intergovernmental space, namely: -- Social justice / equity issues are welcomed and ubiquitously high on the list of priorities, and -- Artificial general intelligence is seen as a "distraction" from these social justice topics What's wild about this is that the Secretary General of the United Nations himself (António Guterres) believes that AGI potentially poses an existential risk. He's been vocal about the topic. But even THEN, equity issues don't just overshadow AGI, they drown AGI out of the dialogue to the point that its taboo to discuss in the intergovernmental / policy circles. I do not think AGI should be the only thing discussed in international policy - but I will say that if all the Big Tech firms and AI labs are actively talking about and driving towards it - the policy world should not be actively shunning AGI. And today, that's exactly what they're doing.

“Financial Services Challenges and Solutions in the Age of Generative AI - with Fabrizio Burlando of Mastercard” https://lnkd.in/gS7qqEgU Over the past decade, the tech industry has seen inconsistent performance in making public introductions of advanced technologies. When tech giants introduced innovations such as Google Glasses and the Metaverse platform, they were initially met with considerable disappointment. In contrast, smaller entities like OpenAI have seen more success in debuting generative AI capabilities in recent years, significantly impacting the global economy in the process. A McKinsey report highlights the potential of generative AI to contribute between $2.6 trillion to $4.4 trillion annually to the global economy. Further analysis by the OECD underscores the utility of generative AI in the finance sector for risk assessment, fraud detection, and enhancing customer service. These technological advancements are disrupting traditional financial institutions and proving to be a critical component within the Banking, Financial Services, and Insurance (BFSI) industry. Recently, Emerj Artificial Intelligence Research Senior Editor Matthew DeMello discussed the influence of generative AI tools on financial services with Fabrizio Burlando, Head of Digital Labs at Mastercard, on the 'AI in Business' podcast. Their conversation shed light on how these technologies are reshaping the sector. The following analysis examines two key insights from their conversation: - Data protection techniques for responsible AI governance - AI-supported decision-making for fraud prevention #GenerativeAI #OpenAI #McKinsey #OECD #FinanceTechnology #RiskAssessment #FraudDetection #CustomerService #BFSI #FinancialInstitutions #TechImpact #AIinBusiness #Mastercard #Emerj #TechInnovation

“Navigating the Future of Financial Risk Management - with Patrick Simonnet of Bank of China” https://lnkd.in/d_MacVm Today’s guest on the ‘#AIinBusiness’ podcast is Patrick Simonnet, Chief Audit Executive of Bank of China’s US operations. Patrick joins Emerj Artificial Intelligence Research Senior Editor Matthew DeMello on the latest episode to examine the evolving landscape of financial risk management. As technology continues to reshape the financial sector, Patrick offers expert insights into the most pressing challenges auditors and risk managers face today. The discussion covers the headwinds confronting audit leaders in a rapidly changing market, including increasing cyber threats and geopolitical uncertainties. Patrick emphasizes the importance of anticipating future risks and highlights the role AI plays in proactively managing both internal and external vulnerabilities. This episode provides valuable perspectives on how advanced technologies are transforming audit practices, empowering financial institutions to stay ahead of emerging threats. Listen now to learn how auditors can leverage AI to remain effective in a complex, fast-moving environment. #FinancialRisk #AuditLeadership #RiskManagement #AIinBusiness #InternalAudit #EmergingRisks #BankingTrends #Cybersecurity #GeopoliticalRisk #GenerativeAI #AIApplications #AuditTechnology #FutureOfFinance #BusinessResilience #DigitalTransformation

"Incubating AI Projects – The Crucial Phase Between Pilot and Deployment" https://lnkd.in/eagQfVyn Artificial intelligence projects are more like R&D than they are like traditional IT. It is experimentation as much as it is adoption, and this difference is one of many reasons that AI projects take longer to integrate. Discover our AI executive guide that breaks down AI adoption into three phases: - Proof of concept phase - Incubation phase - Integration phase Dive into the full guide and unlock Emerj’s entire library of whitepapers, frameworks, and more resources created with business leaders in mind. #AI #adoption #experimentation #incubation

“Solving the Go-to-Market Inefficiencies of Life Sciences - with Rajvir (Raj) Madan of Arcutis Biotherapeutics” https://lnkd.in/e7gbtpr3 Rajvir (Raj) Madan, Chief Digital and Information Technology Officer at Arcutis Biotherapeutics, joins today’s ‘#AIinHealthcareAndLifeSciences’ episode to discuss the challenges and opportunities shaping the future of life sciences. Arcutis Biotherapeutics focuses on developing innovative therapies for dermatological conditions, and Rajvir brings insights into the industry's evolving landscape. The conversation covers key issues, such as the prolonged timelines for drug development and the complexities of regulatory submissions. Rajvir explains how the traditional process, often taking over a decade, requires transformation to keep pace with patient needs and emerging technologies. He also explores how advancements in AI and automation can streamline drug discovery, regulatory processes, and patient care. With a focus on efficiency, Rajvir emphasizes the importance of building agile leadership and leveraging data to drive innovation and business value. #AIinBusiness #LifeSciences #HealthcareInnovation #DrugDevelopment #PatientCare #Automation #Genomics #AI #MedicalAI #Innovation #Biopharma #DataScience #HealthTech #Pharma #PersonalizedMedicine #PublicHealth

“Data-Driven Decision-Making for Global Supply Chains and Procurement - with Luke van der Waals of SLB and William Seagrave CPA, CPIM of Arkestro” https://lnkd.in/dYYQNVcg Data-driven decision-making empowers enterprise leaders to base their strategies on solid, evidence-backed insights, turning strategic planning into both a technological and human achievement. Research from MIT underscores this impact, linking data-driven strategies to a 3% average productivity increase—equivalent to a $5 million IT investment or an additional $60,000 per employee over five years, without extra technology costs. Industries like supply chain and logistics stand to benefit significantly in the process. University of New South Wales research shows that AI enhances decision-making, increases efficiency, and improves forecasting accuracy while offering real-time visibility and reducing costs in supply chain management. Emerj Artificial Intelligence Research Senior Editor Matthew DeMello recently spoke with Luke van der Waals, Demand-to-Deliver Owner Value Stream Owner at SLB, and William Seagrave CPA, CPIM, SVP of Product Solutions at Arkestro, about how AI and automation enhance procurement processes. This article analyzes their conversation, highlighting actionable insights for procurement and supply chain leaders in two critical areas: - Data-driven negotiation using behavioral insights - Transform procurement into a strategic asset #DataDriven #AI #SupplyChain #Logistics #EnterpriseTech #Productivity #MITResearch #Efficiency #AIinBusiness #SupplyChainManagement #RealTimeVisibility #CostReduction #Emerj #Procurement #StrategicAsset

“New Challenges in Fraud Prevention for Retail and eCommerce - with Joseph Gelman of Riskified” https://lnkd.in/d_MacVm Today’s guest on the ‘#AIinBusiness’ podcast is Joseph Gelman, Platform Marketing Manager at Riskified. Riskified, a publicly traded SaaS company, focuses on fraud and chargeback prevention. With deep expertise, Joe offers insights on emerging trends and challenges in the evolving landscape of fraud prevention for retail and eCommerce as merchants prepare for the holiday shopping season. As U.S. online sales are expected to reach $240 billion, businesses must balance customer-friendly policies with rising risks of policy abuse and sophisticated fraud schemes. Joe sheds light on how pandemic-era consumer behavior has shaped industry norms, with flexible return policies becoming standard practice but also creating new vulnerabilities for fraud. Joe distinguishes between policy abuse—such as repeat returns or false claims—and more organized fraud operations that exploit shipping systems or manipulate defective merchandise. His expertise provides key strategies to help merchants mitigate risks while maintaining positive customer experiences. #fraudprevention #ecommerce #retailtech #chargebackprevention #fraudrisk #holidayseason #SaaS #Riskified #policyabuse #fraudmanagement #onlineshopping #consumerbehavior #fraudawareness #fraudsolutions #businessgrowth #AIinBusiness

"Beginning with AI - 3 Critical Insights" https://lnkd.in/gqg7HwK Most guides for adopting AI are written for engineers and developers. At Emerj, our work focuses on actionable insights and simple, transparent explanations for nontechnical professionals. This guide is designed to help enterprise leaders understand the steps and phases of getting started with AI in any business or sector, focusing on three critical areas: - Predicting and understanding time to ROI - Selecting projects with strategic value - Addressing challenges from working with IT to data integration #AI #ROI #dataintegration #engineers #developers #strategicvalue