{"generated_at": "2026-05-30T22:14:59.416081Z", "slug": "the_ai_in_business_podcast", "source_id": "src_the_ai_in_business_podcast", "name": "The AI in Business Podcast", "episode_count": 13, "avg_signal": 79.4, "median_signal": 83.8, "top_signal": 93.4, "latest_episode_at": "2026-05-29T06:00:00Z", "earliest_episode_at": "2026-05-11T06:00:00Z", "category_mode": "ai", "cover_image_url": "https://static.libsyn.com/p/assets/7/d/5/a/7d5a35e6da0c37add959afa2a1bf1c87/Carsten-Wierwille-AI-in-Business-Podcast_1.png", "rank_score": 205.521, "episodes": [{"episode_id": "ep_the_ai_in_business_podcast_f699283ea69c", "episode_title": "Why the Way AI Feels Is as Important as How It Works - with Carsten Wierwille of HTEC", "podcast_name": "The AI in Business Podcast", "podcast_slug": "the_ai_in_business_podcast", "source_id": "src_the_ai_in_business_podcast", "category": "ai", "publish_date": "2026-05-29T06:00:00Z", "overall_score": 65.8, "score_breakdown": {"clarity": 90.0, "originality": 0.0, "hype_penalty": 2.0, "actionability": 85.0, "technical_depth": 68.0, "information_density": 76.0}, "podcast_cover_url": "https://static.libsyn.com/p/assets/7/d/5/a/7d5a35e6da0c37add959afa2a1bf1c87/Carsten-Wierwille-AI-in-Business-Podcast_1.png", "source_link": "https://podcast.emerj.com/why-the-way-ai-feels-is-as-important-as-how-it-works-with-carsten-wierwille-of-htec", "audio_url": "https://traffic.libsyn.com/secure/techemergence/AIB_Carsten_Wierwille_5.27.2026.mp3?dest-id=151434", "listen_url": "https://podcast.emerj.com/why-the-way-ai-feels-is-as-important-as-how-it-works-with-carsten-wierwille-of-htec", "verdict": "must_listen", "why_listen": "You'll learn why most enterprise AI products fail to gain adoption despite technical success, and how to shift from automation-first thinking to human-centered design that drives real value.", "summary": "Enterprise AI initiatives fail not due to model or data limitations, but because design is treated as an afterthought, leading to functional systems that lack user adoption. The bottleneck in AI product development has shifted from ideation to judgment, as leaders drown in a flood of concepts without clear evaluation criteria. Design is evolving into 'cognitive design,' focusing on how users perceive, trust, and make decisions\u2014shaping AI not just to work, but to be used."}, {"episode_id": "ep_the_ai_in_business_podcast_10db992762d6", "episode_title": "How Vision AI Scales Across a Manufacturing Network - with Jeff Witt", "podcast_name": "The AI in Business Podcast", "podcast_slug": "the_ai_in_business_podcast", "source_id": "src_the_ai_in_business_podcast", "category": "ai", "publish_date": "2026-05-28T06:00:00Z", "overall_score": 89.0, "score_breakdown": {"clarity": 92.0, "originality": 92.0, "hype_penalty": 1.0, "actionability": 88.0, "technical_depth": 76.0, "information_density": 82.0}, "podcast_cover_url": "https://static.libsyn.com/p/assets/b/b/d/5/bbd59602a3d34cf1d959afa2a1bf1c87/Jeff-Witt-AI-in-Business-Podcast_2.png", "source_link": "https://podcast.emerj.com/how-vision-ai-scales-across-a-manufacturing-network-with-jeff-witt", "audio_url": "https://traffic.libsyn.com/secure/techemergence/AIB_Jeff_Witt_5.27.2026.mp3?dest-id=151434", "listen_url": "https://podcast.emerj.com/how-vision-ai-scales-across-a-manufacturing-network-with-jeff-witt", "verdict": "must_listen", "why_listen": "Learn how to overcome the real bottlenecks\u2014organizational alignment, data integration, and operationalization\u2014that prevent computer vision from scaling in industrial environments.", "summary": "Most computer vision pilots in manufacturing fail to scale not due to technical limitations, but because of organizational and integration challenges. Success requires treating these deployments as operational transformations with end-to-end data architecture and business-led ownership. A model is production-ready when it delivers immediate value, not when it's technically perfect."}, {"episode_id": "ep_the_ai_in_business_podcast_5364c821e468", "episode_title": "AI Improving Dose Decisions and Patient Outcomes in Oncology- with Shefali Kakar of Novartis", "podcast_name": "The AI in Business Podcast", "podcast_slug": "the_ai_in_business_podcast", "source_id": "src_the_ai_in_business_podcast", "category": "ai", "publish_date": "2026-05-26T06:00:00Z", "overall_score": 68.4, "score_breakdown": {"clarity": 75.0, "originality": 82.0, "hype_penalty": 3.0, "actionability": 60.0, "technical_depth": 62.0, "information_density": 58.0}, "podcast_cover_url": "https://static.libsyn.com/p/assets/7/c/f/1/7cf172374bc005d816c3140a3186d450/Shefali-Kakar-AI-in-Business-Podcast_1.png", "source_link": "https://podcast.emerj.com/ai-improving-dose-decisions-and-patient-outcomes-in-oncology-with-shefali-kakar-of-novartis", "audio_url": "https://traffic.libsyn.com/secure/techemergence/AIB_Shefali_Kakar_Final_Audio_5.26.2026.mp3?dest-id=151434", "listen_url": "https://podcast.emerj.com/ai-improving-dose-decisions-and-patient-outcomes-in-oncology-with-shefali-kakar-of-novartis", "verdict": "worth_your_time", "why_listen": "Gain a realistic view of how AI is reshaping oncology drug development\u2014from molecular design to clinical trial modeling\u2014while learning the real organizational and data challenges blocking full transformation.", "summary": "AI-driven modeling in oncology drug development enables earlier, more accurate dose decisions by analyzing molecular and patient-level data across programs, reducing sub-studies and improving safety predictions. Cross-industry data integration allows in silico drug discovery and clinical trials, refining probability of success models for better capital allocation. Structural barriers remain in data access and format standardization, with underutilized failure data representing a critical missed learning opportunity."}, {"episode_id": "ep_the_ai_in_business_podcast_2f12eb86f23b", "episode_title": "Breaking Free from AI Overwhelm in Banking and Financial Services - with Art Shectman of Elephant Ventures", "podcast_name": "The AI in Business Podcast", "podcast_slug": "the_ai_in_business_podcast", "source_id": "src_the_ai_in_business_podcast", "category": "ai", "publish_date": "2026-05-25T06:00:00Z", "overall_score": 81.8, "score_breakdown": {"clarity": 85.0, "originality": 82.0, "hype_penalty": 2.0, "actionability": 92.0, "technical_depth": 65.0, "information_density": 75.0}, "podcast_cover_url": "https://static.libsyn.com/p/assets/0/2/3/1/0231ed559b79d05bd959afa2a1bf1c87/Art-Shectman-AI-in-Business-Podcast_2.png", "source_link": "https://podcast.emerj.com/breaking-free-from-ai-overwhelm-in-banking-and-financial-services-with-art-shectman-of-elephant-ventures", "audio_url": "https://traffic.libsyn.com/secure/techemergence/AIB_Art_Shectman.mp3?dest-id=151434", "listen_url": "https://podcast.emerj.com/breaking-free-from-ai-overwhelm-in-banking-and-financial-services-with-art-shectman-of-elephant-ventures", "verdict": "must_listen", "why_listen": "You\u2019ll learn how to cut through AI hype and vendor noise to ship real, board-ready AI solutions in highly regulated financial environments using time-boxed execution and workflow pragmatism.", "summary": "AI leaders in banking and financial services face paralysis due to regulatory constraints, rapid technological change, and vendor fatigue. The path forward involves selecting a pre-cleared, low-risk workflow, applying time-bounded sprints (e.g., 30\u2013100 days) to reach production, and using early wins to build boardroom trust. Success hinges on creating a 'context singularity'\u2014curating institutional knowledge so AI systems can operate reliably within governed boundaries."}, {"episode_id": "ep_the_ai_in_business_podcast_f3fbbe7f2a8c", "episode_title": "Fixing the Pilot\u2011to\u2011Production Gap in Enterprise AI - with Ronny Fehling of HTEC", "podcast_name": "The AI in Business Podcast", "podcast_slug": "the_ai_in_business_podcast", "source_id": "src_the_ai_in_business_podcast", "category": "ai", "publish_date": "2026-05-22T06:00:00Z", "overall_score": 93.4, "score_breakdown": {"clarity": 95.0, "originality": 94.0, "hype_penalty": 1.0, "actionability": 90.0, "technical_depth": 85.0, "information_density": 88.0}, "podcast_cover_url": "https://static.libsyn.com/p/assets/e/3/8/8/e388829cc8b573b916c3140a3186d450/Ronny-Fehling-AI-in-Business-Podcast_3.png", "source_link": "https://podcast.emerj.com/fixing-the-pilottoproduction-gap-in-enterprise-ai-with-ronny-fehling-of-htec", "audio_url": "https://traffic.libsyn.com/secure/techemergence/AIB_Ronnie_Fehling.mp3?dest-id=151434", "listen_url": "https://podcast.emerj.com/fixing-the-pilottoproduction-gap-in-enterprise-ai-with-ronny-fehling-of-htec", "verdict": "must_listen", "why_listen": "Learn why most enterprise AI pilots die quietly\u2014and how to design production-first, user-anchored slices that force organic scaling through real utility.", "summary": "The pilot-to-production gap in enterprise AI is less about technology or change management and more about sequencing: pilots built outside real workflows fail because they don't account for integration, validation, and operational constraints. Successful scaling starts with narrow, production-minded slices\u2014real users, real data, real systems\u2014that deliver measurable value in 6\u201312 weeks. The true signal of viability is user pain upon removal, not boardroom impressiveness or upfront ROI models."}, {"episode_id": "ep_the_ai_in_business_podcast_e625c99f5df5", "episode_title": "Why Deepfake Fraud Beats Your Workflows, Not Your Technology - with Jon-Rav Shende of Thales Group", "podcast_name": "The AI in Business Podcast", "podcast_slug": "the_ai_in_business_podcast", "source_id": "src_the_ai_in_business_podcast", "category": "ai", "publish_date": "2026-05-21T06:00:00Z", "overall_score": 90.8, "score_breakdown": {"clarity": 92.0, "originality": 94.0, "hype_penalty": 2.0, "actionability": 95.0, "technical_depth": 78.0, "information_density": 85.0}, "podcast_cover_url": "https://static.libsyn.com/p/assets/a/0/5/1/a051aa7006cea42816c3140a3186d450/Jon-Rav_Shende-AI-in-Business-Podcast_2.png", "source_link": "https://podcast.emerj.com/why-deepfake-fraud-beats-your-workflows-not-your-technology-with-jon-rav-shende-of-thales-group", "audio_url": "https://traffic.libsyn.com/secure/techemergence/AIB_Jon-Rav_Shende.mp3?dest-id=151434", "listen_url": "https://podcast.emerj.com/why-deepfake-fraud-beats-your-workflows-not-your-technology-with-jon-rav-shende-of-thales-group", "verdict": "must_listen", "why_listen": "You'll learn how to identify and secure the voice-based attack surfaces that most expose your organization to synthetic fraud, even if your AI detection tools are state-of-the-art.", "summary": "Deepfake fraud succeeds not by defeating AI detection tools but by exploiting agent workflows that prioritize speed and customer service under pressure. The highest-risk voice channels are helpdesk and account recovery, where attackers combine spoofed identities, urgency, and partial data to trigger high-impact actions. A practical defense requires mapping risky voice journeys, implementing step-up verification for high-risk transactions, and building an evidence chain for audits and incident response."}, {"episode_id": "ep_the_ai_in_business_podcast_bf13bba4f14b", "episode_title": "Scaling Scientific R&D with AI Supercomputing Infrastructure \u2014 with Thomas Fuchs of Eli Lilly", "podcast_name": "The AI in Business Podcast", "podcast_slug": "the_ai_in_business_podcast", "source_id": "src_the_ai_in_business_podcast", "category": "ai", "publish_date": "2026-05-19T06:00:00Z", "overall_score": 83.8, "score_breakdown": {"clarity": 85.0, "originality": 92.0, "hype_penalty": 2.0, "actionability": 75.0, "technical_depth": 85.0, "information_density": 72.0}, "podcast_cover_url": "https://static.libsyn.com/p/assets/f/f/c/e/ffceee7f5ac4329c16c3140a3186d450/Thomas-Fuchs-AI-in-Business-Podcast.png", "source_link": "https://podcast.emerj.com/scaling-scientific-rd-with-ai-supercomputing-infrastructure-with-thomas-fuchs-of-eli-lilly", "audio_url": "https://traffic.libsyn.com/secure/techemergence/AIB_Thomas_Fuchs.mp3?dest-id=151434", "listen_url": "https://podcast.emerj.com/scaling-scientific-rd-with-ai-supercomputing-infrastructure-with-thomas-fuchs-of-eli-lilly", "verdict": "must_listen", "why_listen": "Hear how one of the world\u2019s largest pharmaceutical companies is treating AI supercomputing as a scientific instrument to expand the boundaries of molecular discovery and operational efficiency.", "summary": "Eli Lilly is deploying an NVIDIA DGX SuperPod B300-based AI supercomputer to transform scientific R&D by enabling larger models, broader exploration of molecular space, and faster iteration across discovery, development, and manufacturing. The system acts as a scientific instrument\u2014like a telescope or microscope\u2014expanding what researchers can see and test, while also delivering immediate ROI in areas like manufacturing process optimization. Despite legacy infrastructure constraints, Lilly is aligning AI compute with clear business metrics and patient outcomes, not just technological capability."}, {"episode_id": "ep_the_ai_in_business_podcast_157120706db9", "episode_title": "The Hidden Risk in Every Enterprise AI Vendor Contract - with John Belden of UpperEdge", "podcast_name": "The AI in Business Podcast", "podcast_slug": "the_ai_in_business_podcast", "source_id": "src_the_ai_in_business_podcast", "category": "ai", "publish_date": "2026-05-18T06:00:00Z", "overall_score": 84.2, "score_breakdown": {"clarity": 85.0, "originality": 94.0, "hype_penalty": 2.0, "actionability": 75.0, "technical_depth": 82.0, "information_density": 75.0}, "podcast_cover_url": "https://static.libsyn.com/p/assets/2/1/2/5/21251cf00dcdcb59d959afa2a1bf1c87/John-Belden-AI-in-Business-Podcast_2.png", "source_link": "https://podcast.emerj.com/the-hidden-risk-in-every-enterprise-ai-vendor-contract-with-john-belden-of-upperedge", "audio_url": "https://traffic.libsyn.com/secure/techemergence/Ed_Upper_Edge_Final_Audio_Internal_Episode1_John_Belden.mp3?dest-id=151434", "listen_url": "https://podcast.emerj.com/the-hidden-risk-in-every-enterprise-ai-vendor-contract-with-john-belden-of-upperedge", "verdict": "must_listen", "why_listen": "Learn how to structure AI vendor contracts that preserve flexibility and accountability in the face of rapid technological change and organizational pressure.", "summary": "CIOs face six dimensions of uncertainty\u2014technology, environment, cost, implementation, business model, and internal talent\u2014when making AI commitments, creating pressure to act despite unclear outcomes. Contracts with systems integrators must shift from fixed deliverables to adaptive frameworks that incentivize flexibility, including regular capability reviews and labor adjustments. True leadership in AI transformation requires preserving optionality and creating mechanisms to surface bad news early, avoiding performance theater."}, {"episode_id": "ep_the_ai_in_business_podcast_426037a8a183", "episode_title": "The Architecture Shift Behind Reliable Enterprise AI - with Ravi Marwaha of Arango", "podcast_name": "The AI in Business Podcast", "podcast_slug": "the_ai_in_business_podcast", "source_id": "src_the_ai_in_business_podcast", "category": "ai", "publish_date": "2026-05-14T06:00:00Z", "overall_score": 83.8, "score_breakdown": {"clarity": 85.0, "originality": 92.0, "hype_penalty": 2.0, "actionability": 75.0, "technical_depth": 82.0, "information_density": 75.0}, "podcast_cover_url": "https://static.libsyn.com/p/assets/8/f/4/3/8f437347e6390573d959afa2a1bf1c87/Ravi-Marwaha-AI-in-Business-Podcast_3.png", "source_link": "https://podcast.emerj.com/the-architecture-shift-behind-reliable-enterprise-ai-with-ravi-marwaha-of-arango", "audio_url": "https://traffic.libsyn.com/secure/techemergence/Ed_Arango_Internal_Podcast_1_Final_Audio_Ravi_Marwaha.mp3?dest-id=151434", "listen_url": "https://podcast.emerj.com/the-architecture-shift-behind-reliable-enterprise-ai-with-ravi-marwaha-of-arango", "verdict": "must_listen", "why_listen": "You\u2019ll learn how to architect enterprise data systems for AI agents\u2014not humans\u2014including what data to prioritize, where to store decisions, and how to govern agent actions.", "summary": "Enterprise AI fails not because of model quality but due to fragmented, uncurated data that prevents reliable context delivery. Ravi Marwaha argues for a paradigm shift in data architecture\u2014moving from human-optimized systems to AI-native, unified data layers that support agent memory, auditability, and real-time context. He emphasizes that agents are like newborns: they need clean, relevant, and governed data to act effectively."}, {"episode_id": "ep_the_ai_in_business_podcast_dd8c7a3ba573", "episode_title": "Why Manufacturing's Most Valuable Data Isn't in Any System \u2014 with Anand Gnanamoorthy of Ingersoll Rand", "podcast_name": "The AI in Business Podcast", "podcast_slug": "the_ai_in_business_podcast", "source_id": "src_the_ai_in_business_podcast", "category": "ai", "publish_date": "2026-05-13T15:00:00Z", "overall_score": 81.6, "score_breakdown": {"clarity": 85.0, "originality": 85.0, "hype_penalty": 3.0, "actionability": 75.0, "technical_depth": 82.0, "information_density": 76.0}, "podcast_cover_url": "https://static.libsyn.com/p/assets/b/6/9/f/b69f48921e27b9a016c3140a3186d450/Anand_Gnanamoorthy-AI-in-Business-Podcast_1.png", "source_link": "https://podcast.emerj.com/why-manufacturings-most-valuable-data-isnt-in-any-system-with-anand-gnanamoorthy-of-ingersoll-rand", "audio_url": "https://traffic.libsyn.com/secure/techemergence/Business_-_5.13.26_-_Anand_Gnanamoorthy.mp3?dest-id=151434", "listen_url": "https://podcast.emerj.com/why-manufacturings-most-valuable-data-isnt-in-any-system-with-anand-gnanamoorthy-of-ingersoll-rand", "verdict": "must_listen", "why_listen": "Learn how to capture and operationalize tribal knowledge in manufacturing using AI, avoiding common pitfalls that kill pilots.", "summary": "Manufacturing's most valuable data resides not in structured systems but in the tribal knowledge of frontline workers, creating a critical risk as experienced employees retire. Anand Gnanamoorthy outlines a three-layer data model\u2014structured, unstructured, and human-held tribal knowledge\u2014and argues that AI adoption fails when companies focus on perfect data instead of capturing real-world workflows. He emphasizes that AI should augment workers by reducing cognitive load and preventing errors, not replace them, and that successful implementation starts with early adopters and practical use cases."}, {"episode_id": "ep_the_ai_in_business_podcast_80c518b8b9ac", "episode_title": "Why Predictive AI in Service Only Works on the Right Foundation - with Niken Patel of Neuron7.ai", "podcast_name": "The AI in Business Podcast", "podcast_slug": "the_ai_in_business_podcast", "source_id": "src_the_ai_in_business_podcast", "category": "ai", "publish_date": "2026-05-13T06:00:00Z", "overall_score": 83.8, "score_breakdown": {"clarity": 85.0, "originality": 92.0, "hype_penalty": 3.0, "actionability": 80.0, "technical_depth": 82.0, "information_density": 75.0}, "podcast_cover_url": "https://static.libsyn.com/p/assets/b/0/3/d/b03de7a8f2c736ca16c3140a3186d450/Niken-Patel-AI-in-Business-Podcast_1.png", "source_link": "https://podcast.emerj.com/why-predictive-ai-in-service-only-works-on-the-right-foundation-with-niken-patel-of-neuron7ai", "audio_url": "https://traffic.libsyn.com/secure/techemergence/Niken_Patel.05.07.26.mp3?dest-id=151434", "listen_url": "https://podcast.emerj.com/why-predictive-ai-in-service-only-works-on-the-right-foundation-with-niken-patel-of-neuron7ai", "verdict": "must_listen", "why_listen": "Learn why most predictive AI in service fails and how to build the data and decision layer that unlocks $20M+ ROI by connecting tribal knowledge, parts logistics, and asset behavior.", "summary": "Predictive AI in service fails without a robust data foundation that connects cross-departmental resolution paths and makes tribal knowledge AI-accessible. True predictive capability requires first mastering deterministic resolution outcomes and causal discovery in both connected and non-connected device environments. Companies that skip this foundation risk hallucination, inefficiency, and missing $5\u201320M ROI opportunities in service revenue and cost reduction."}, {"episode_id": "ep_the_ai_in_business_podcast_7def8b4821c2", "episode_title": "Building Predictive Safety Systems in Energy Operations - with Patricio Rivera of Oxy", "podcast_name": "The AI in Business Podcast", "podcast_slug": "the_ai_in_business_podcast", "source_id": "src_the_ai_in_business_podcast", "category": "ai", "publish_date": "2026-05-12T06:00:00Z", "overall_score": 81.4, "score_breakdown": {"clarity": 85.0, "originality": 92.0, "hype_penalty": 2.0, "actionability": 75.0, "technical_depth": 70.0, "information_density": 75.0}, "podcast_cover_url": "https://static.libsyn.com/p/assets/8/4/e/e/84ee086847528c8d16c3140a3186d450/Patricio-Rivera-AI-in-Business-Podcast_2.png", "source_link": "https://podcast.emerj.com/building-predictive-safety-systems-in-energy-operations-with-patricio-rivera-of-oxy", "audio_url": "https://traffic.libsyn.com/secure/techemergence/Business_Patricio_Rivera_5.11.2026.mp3?dest-id=151434", "listen_url": "https://podcast.emerj.com/building-predictive-safety-systems-in-energy-operations-with-patricio-rivera-of-oxy", "verdict": "must_listen", "why_listen": "Gain a practical framework for building predictive safety systems using existing data, grounded in real-world energy sector experience.", "summary": "Patricio Rivera advocates for predictive safety systems in energy operations that shift from reactive incident analysis to anticipating risk using existing data. He introduces the concept of 'learning from green days'\u2014analyzing when operations go well to sustain safe performance\u2014and emphasizes designing systems that expect human error but prevent harm. The 'window of hazard' framework uses observational data and AI to model risk probability without adding data collection burden."}, {"episode_id": "ep_the_ai_in_business_podcast_c844a3385f63", "episode_title": "Fixing the Pilot\u2011to\u2011Production Gap in Enterprise AI - with Lawrence Whittle of HTEC Group", "podcast_name": "The AI in Business Podcast", "podcast_slug": "the_ai_in_business_podcast", "source_id": "src_the_ai_in_business_podcast", "category": "ai", "publish_date": "2026-05-11T06:00:00Z", "overall_score": 45.0, "score_breakdown": {"clarity": 0.0, "originality": 82.0, "hype_penalty": 0.0, "actionability": 0.0, "technical_depth": 58.0, "information_density": 65.0}, "podcast_cover_url": "https://static.libsyn.com/p/assets/6/f/7/d/6f7dcb0ddc2243ccd959afa2a1bf1c87/Lawrence-Whittle-AI-in-Business-Podcast_2.png", "source_link": "https://podcast.emerj.com/fixing-the-pilottoproduction-gap-in-enterprise-ai-with-lawrence-whittle-of-htec-group", "audio_url": "https://traffic.libsyn.com/secure/techemergence/Business_-_5.11.26_-_Lawrence_Whittle_.mp3?dest-id=151434", "listen_url": "https://podcast.emerj.com/fixing-the-pilottoproduction-gap-in-enterprise-ai-with-lawrence-whittle-of-htec-group", "verdict": "must_listen", "why_listen": "Learn how to bridge the AI pilot-to-production gap with actionable frameworks for driving organizational change, not just technical deployment.", "summary": "Enterprises face a critical pilot-to-production gap in AI adoption, with 95% failing to scale initiatives due to cultural inertia, skill set mismatches, and misaligned incentives. Success requires a 'builder's mindset,' tight cost-to-value ratios in use cases, and multi-tiered adoption that blends top-down strategy with bottom-up experimentation. Rapid iteration, internal showcasing of results, and organizational rewiring\u2014not just technology\u2014are key to achieving momentum."}], "category_breakdown": [{"category": "ai", "count": 13}]}