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    The AI in Business Podcast

    The AI in Business Podcast

    The AI in Business Podcast is for non-technical business leaders who need to find AI opportunities, align AI capabilities with strategy, and deliver ROI. Each week, Emerj Artificial Intelligence Research CEO Daniel Faggella interviews top AI executives from Fortune 500 firms and unicorn startups - to uncover trends, use-cases, and best practices for practical AI adoption. Subscribe to Emerj's weekly AI newsletter by downloading our "Beginning with AI" PDF guide: https://emerj.com/beg1

    The AI in Business Podcast

    Fri Jul 26 2024

    Winning Buy-In for Private and Public Sector Projects - with Dr. Raghav Vadhera of Raytheon

    private-public partnershipsdata-driven decision-makingchallengesdifferencesdata tools

    This episode explores the challenges and benefits of private-public partnerships in the context of data-driven decision-making. It discusses the differences between private companies and governments, the role of data tools in both sectors, collaboration and challenges in public-private partnerships, best practices for implementing public sector projects, and private sector strategies for technology adoption.

    The AI in Business Podcast

    Wed Jul 24 2024

    Addressing the Field Services Brain Drain - with Joe Meloche of Atlas Copco

    field service industryequipment complexityautomotive companiesknowledge sharingAI in customer service

    This episode discusses the challenges facing field service leaders, including talent drain and equipment complexity. It explores the integration of new technologies in automotive companies and the use of AI to centralize knowledge. The importance of knowledge sharing and the future of work are also examined. The episode concludes with a discussion on being proactive in customer service using AI.

    The AI in Business Podcast

    Tue Jul 23 2024

    Use Cases in Driving Automotive Efficiencies with Tire Data Collection - with Chris Helsel of Goodyear

    AITransportationTire Intelligence

    Chris Helsal, Senior Vice President of Global Operations and Chief Technology Officer at the Goodyear Tire and Rubber Company, discusses the future of driving transportation efficiencies with AI, from maintenance to autonomous vehicles. He also explores Goodyear's investments in seed-to-growth-age startups like Revell and Gaddic. The journey towards tire intelligence is explained, along with the complexity of tire manufacturing. The importance of partnerships and managing them effectively is highlighted.

    The AI in Business Podcast

    Tue Jul 16 2024

    Adopting Generative AI in Healthcare Organizations - with Prashant Natarajan of H2O.ai

    generative AIhealthcarelife sciencesH2O AI Cloudleadership

    This episode explores the potential of generative AI in transforming healthcare and life sciences industries. It covers key insights on H2O AI Cloud, the leadership and democratization of generative AI, its impact on language and applications in life sciences, and its role in the modern-day supply chain and enterprise AI.

    The AI in Business Podcast

    Tue Jul 09 2024

    Driving Efficiencies Across the Life Sciences Value Chain with AI in Drug Development - with Nishtha Jain of Takeda

    AI holds incredible potential for the future of healthcare, including accelerating drug discovery and improving patient outcomes. Drug discovery and development in the pharmaceutical industry is a financially risky and time-consuming process, with AI having the highest potential to reduce costs and time. The drug development process consists of stages like drug discovery, preclinical research, clinical trials, FDA review, and commercialization, each taking varying amounts of time. AI has been successfully used in real-world examples like COVID-19 vaccine development to significantly reduce data analysis time from 30 days to 22 hours. Post-COVID opportunities include regulatory and technological advancements that can further decrease costs and timelines in drug development processes. Everyday AI use cases in drug discovery include target identification, drug design optimization, acceleration of clinical trials, and studies on drug metabolism.

    The AI in Business Podcast

    Thu Jul 04 2024

    A “Compassionate” Approach to Credit Data - with Prasanna Dhore of Fiserv

    credit challengesfinancial inclusiontechnologyrisk assessmentsmall business challenges

    This episode explores the challenges faced by 'invisible' individuals in building credit history and how AI can help bring them into the financial system. It discusses the importance of utilizing alternate data for credit evaluation and the need to address privacy concerns. The episode also highlights the role of technology in enabling credit for all segments of society and the use of granular data and explainable AI for risk assessment. Additionally, it touches upon the impact of technology on plot points and upcoming small business challenges.

    The AI in Business Podcast

    Tue Jun 25 2024

    Imagining a GenAI-Driven Law Firm - with Barclay Blair of DLA Piper

    AI in Law FirmsLegal IndustryAI TechnologyFuture of Legal Services

    Barclay Blair, senior managing editor of AI Product Innovation at DLA Piper, discusses the integration of AI in law firms and the challenges they face. AI is transforming the legal industry by impacting how law firms operate and deliver value to clients. The adoption of AI technology requires law firms to undergo business model transformation along with cultural and technical changes. There are parallels between the roles of doctors and lawyers in terms of analyzing data and providing advice, highlighting the potential impact of AI on both professions.

    The AI in Business Podcast

    Tue Jun 18 2024

    Driving SMB Solutions with AI - with Matt Madrigal of Google

    database solutionsSMB retail challengesgenerative AI toolsproduct imagerybrick and mortar customer experiences

    In this episode, Matt Madrigal from Google discusses database solutions for SMB retail challenges. He explains how generative AI tools can improve product imagery and help small businesses leverage AI. The importance of having the right mix of imagery online is highlighted, along with the specific problems that Google's generative AI tools address. Additionally, AI-powered insights are discussed in relation to inventory management and meeting consumer demand. The episode also covers virtual try-on capabilities for apparel, which provide a more lifelike shopping experience online.

    The AI in Business Podcast

    Thu Jun 13 2024

    Leveraging the Democratization of Data to Solve Workforce Challenges in Field Services - with Scot Burdette of ABB

    AI in BusinessField Service TeamsHeavy Machinery SpaceData DemocratizationSubject Matter Expertise

    This episode explores the unique challenges faced by field service teams in heavy machinery space and how AI can address workforce challenges and retain subject matter expertise. It discusses material shortages, remote locations, data democratization, retaining subject matter expertise, tools for data analysis, metrics for heavy industry and field services, and the balance between quality, cost, and speed. The episode concludes by highlighting the importance of data insights, subject matter expertise, and customer satisfaction in leveraging AI in these industries.

    The AI in Business Podcast

    Wed Jun 12 2024

    Balancing Infrastructure and Data Management in Financial Services - with Sheri Crawford of Scotiabank

    data managementgenerative AIdigital transformationcustomer experienceinfrastructure

    This episode discusses the challenges faced by data management teams in driving systems and infrastructure for new data-heavy use cases in generative AI. It explores the importance of balancing customer needs with infrastructure changes in digital transformation. The episode also highlights the need for responsible data management and governance principles. Additionally, it delves into calculating ROI in AI, managing data during the transition to the cloud, and finding the right balance between customer experience and infrastructure concerns.

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