This podcast, sourced from the "AI with Arun Show" on YouTube, features a conversation with Kieran Taylor, CEO of Midship, focusing on how his company is revolutionizing financial auditing and SOX compliance using AI agents. Taylor explains that Midship was founded to resolve communication gaps and inefficiencies noticed during his time at Instacart and leveraged the advancements in AI to automate laborious tasks, citing an impressive reduction in testing time from 16 hours to just 12 minutes. The discussion covers the complexities of SOX testing and how Midship's AI-native platform enables autonomous testing—moving toward continuous monitoring rather than periodic checks—by giving the AI the necessary tools and logic to assess business processes and gather evidence effectively. Finally, Taylor addresses the future of auditing, emphasizing that while AI will assume most procedural work, auditors' roles will pivot toward deeper business process expertise and advisory functions, with humans remaining in the loop for review.
#AIAuditing #FutureOfAudit #SOXCompliance #financialcompliance #AuditAutomation #MidshipAI #KieranTaylor #aiethics #generativeai #AuditTech #fintech #aiwitharunshow #digitaltransformation #aiinfinance
The discussion features Ganesh Gopalan, CEO of Gani.ai, focusing on the crucial role of voice AI in bridging the digital divide across linguistically diverse India and enabling interactions for the general population, or "Bharat." Gopalan asserts that success in the local market necessitates building indigenous deep tech systems from the ground up, rather than relying on generalized solutions built for Western contexts, a philosophy validated by their inclusion in the India AI Mission. A major technical component highlighted is the use of Small Language Models (SLMs), which offer superior accuracy and the low latency required for real-time enterprise systems, compared to generic Large Language Models (LLMs). Gani.ai applies this specialized technology to transform sectors such as banking and customer experience, shifting communication toward a hyperpersonalized and multimodal future that includes voice, text, and video. Ultimately, the company is driven by a belief in Indian innovation and a focus on solving customer problems with a clear return on investment (ROI), proving the viability of foundational deep technology built domestically.#VoiceAI#IndiaAIMission#GnaniAI#DeepTechIndia#ConversationalAI#LLMs#SLMs#AIEthics#ArunTrivedi#TechStartup#GaneshGopalan#AIWithArunShow
The podcast captures an interview with Meru Goklay, founder of Editrix.ai, discussing how artificial intelligence is reshaping the book publishing industry by addressing outdated manual workflows. Goklay explains that her platform was designed to support editors, not replace them, by automating time-consuming technical tasks like developmental and copy editing. The technology utilizes a sophisticated model-agnostic architecture that offers users pre-built workflows, making advanced AI tools easily accessible to non-technical authors and publishing houses. Although the initial introduction of AI faced significant cultural resistance and fear, Goklay notes a recent shift toward adoption, driven by the demonstrated benefits of increased efficiency and decreased editor burnout. Ultimately, she stresses that the goal is to augment human judgment and greatly accelerate a book’s time-consuming path to market, while also calling for governmental regulation to address complex issues such as copyright challenges in generative AI.
#AIinPublishing #BookEditing #EditorialAI #MeruGokhale #PublishingIndustry #EditrixAI #FutureofBooks #chatgpt #aiwitharunshow #editrixAI #MeruGokhale
The podcast from the "AI with Arun Show" video, critically analyzes the state of artificial intelligence investment in late 2025, postulating that the industry is experiencing an infrastructure capital expenditure (capex) bubble, rather than a full-blown technology bubble similar to the dot-com era. This diagnosis stems from a "great divergence" where phenomenal earnings from infrastructure companies like Nvidia lead to market sell-offs due to anxiety over future returns on investment (ROI). The core financial imbalance is identified as a massive $600 billion gap between the required annual revenue needed to justify the current scale of hardware spending by hyperscalers and the actual incremental AI revenue being generated. While companies like Microsoft and Google show strong AI-driven cloud growth, the broader market is divided between the booming "picks and shovels" layer (infrastructure) and the struggling "application layer," where startups face an "extinction level event" due to poor unit economics and the difficulty of converting pilots into paid enterprise contracts.
#AI #ArtificialIntelligence #Nvidia #TechNews #stockmarket #GenerativeAI #Investing #TechBubble #BigTech #microsoft #SaaS #Capex #VentureCapital #DotComBubble #aiwitharunshow
The podcast from the "AI with Arun Show," featuring a conversation with Kishan, the Executive Vice President and General Manager of Agent Force for Service at Salesforce. The discussion focuses on Agent Force, Salesforce's AI platform designed to transform enterprise service, particularly in customer service and IT workflows. A key theme is the shift toward "limitless service" using AI agents to handle routine tasks, allowing human agents to focus on more complex issues and strategic growth. The conversation also covers the unified nature of the Salesforce platform for both customer and employee services, the importance of conversational interfaces through tools like Slack and Teams, and the company's commitment to data security and trust in its AI offerings.
#aiagents #salesforce #AgenticEnterprise #FutureOfService #customerserviceai #itservicemanagement #servicenow #digitaltransformation #innovation #cio #salesforceai #agentforce #servicecloud #aiwitharunshow #generativeai #slack #microsoftteamstutorial #microsoft
The podcast featuring a conversation between the host of the "AI with Arun Show" and Priyanka Lada, the Stanford-educated founder of the AI fashion startup, Kridha. The discussion centers on how Kridha, a universal fashion AI agent, aims to disrupt the trillion-dollar fashion industry by solving core inefficiencies like data flow issues and massive waste from returns. Lada explains her unique background, combining deep fashion industry roots with expertise in computer vision and AI agentic systems, which are the technical foundations of her company. Key topics covered include ethical AI practices—such as prioritizing consumer satisfaction over commission and ensuring user privacy through skeletal 3D renditions—and the belief that AI should complement human creativity rather than replace it. Lada also shares her personal philosophies on leadership, the importance of sincerity in hiring, and how fashion tech must blend domain expertise with technology to succeed
The podcast from a YouTube video interview on the AI with Arun Show, featuring Krish Vitaldevara, the Executive Vice President and Chief Product Officer at Informatica. The discussion focuses on Informatica's strategy for reinventing data management to align with the AI-first era, emphasizing the use of Generative AI and predictive AI within their products, such as the Intelligent Data Management Cloud (IDMC). Key topics explored include the company's approach to leveraging AI to transform enterprise data, their shift from on-premises to a cloud-native platform available across major hyperscalers, and their focus on emerging areas like AI governance and the development of purpose-built data agents. Vitaldevara also addresses the importance of customer-centric product management, the metrics used to evaluate AI features, and the future evolution toward autonomous data management systems.
The podcast from the "AI with Arun Show," featuring an interview with Shannon Williams, Co-founder and President of Obot.ai, and formerly of Rancher Labs. The discussion centers on the Model Context Protocol (MCP), which is presented as a crucial protocol for securely connecting applications, data, and tools to Large Language Models (LLMs). Williams explains that Obot.ai provides an open-source MCP gateway, which runs on Kubernetes and acts as a control plane and proxy for managing, auditing, and securing the proliferation of MCP servers within an enterprise. A major theme is the challenge of enterprise adoption of MCP due to security and governance concerns, which Obot.ai’s gateway addresses by providing management, authentication via OAuth, and guardrails to define access and content filters. Williams also discusses his belief that the future of AI will involve highly engineered, powerful "universal agents" built as next-generation MCP servers, comparing MCP's potential to the impact of HTTP.
#AI #ArtificialIntelligence #EnterpriseAI #MCP #ModelContextProtocol #OpenSource #AISecurity #AIGateway #ObatAI #ShannonWilliams #RancherLabs #Kubernetes #LLM #AIStrategy #TechPodcast #Podcast #AIwithArunShow #FutureofAI #Databases #API
The podcast from the "AI with Arun Show" features a conversation with a Google engineer, Yash Sharma, focusing on how professionals and job seekers can effectively use AI tools to succeed in the evolving technology landscape. Key advice centers on the need for job candidates to showcase end-to-end solutions and real-world problem-solving abilities, moving beyond siloed skills to demonstrate a more holistic, multi-disciplinary approach in areas like front-end, back-end, and product management. The discussion emphasizes continuous learning, the importance of critically evaluating AI-generated results, and the necessity of using various AI tools to increase awareness and understanding of their capabilities and limitations. Finally, the source cautions against becoming over-reliant on AI, recommending that users maintain critical thinking and practice basic skills before turning to AI to enhance their work.
#AI #CareerAdvice #JobSearch #ArtificialIntelligence #Tech #ResumeTips #Upskilling #FutureOfWork #AIWithArunShow #CriticalThinking #SoftwareDeveloper #GoogleEngineer #CareerDevelopment #DeSkilling #JobSeeker
The "AI with Arun Show" podcast, featuring Google software engineer Yash Sharma, where they discuss the benefits and risks of using artificial intelligence (AI) tools in the technology landscape. Sharma explains how AI is creating "hyperproductive individuals" by automating boilerplate tasks and democratizing knowledge, allowing for quicker movement from an idea to a minimum viable product. However, he warns that AI can create "blackbox" systems that abstract critical details, leading to challenges with ownership, bias, and non-deterministic results, emphasizing that human oversight and evolving skill sets are still necessary. The conversation also explores how AI is merging traditional job roles (like front-end and back-end engineering) and how both experienced and inexperienced professionals must adapt to the technology by focusing on context and prompt engineering.
The podcast interview on the AI with Arun Show featuring guest Yash Sharma, a machine learning software engineer at Google YouTube. The discussion centers on how AI tools, particularly Large Language Models (LLMs), are transforming the tech industry and impacting various roles, such as engineers and product managers. Sharma explains that while AI tools are not entirely new, LLMs are significantly supercharging this revolution by automating repetitive tasks and enabling workers to perform functions outside their traditional expertise, referencing his personal project building a financial health app called Plutus as an example. The conversation also addresses the importance of skillful prompting to mitigate risks like hallucination and notes that AI tools function best as "junior employees" that augment, but do not replace, human expertise. Finally, the participants stress that maintaining critical foundational skills is essential for professionals to remain relevant alongside these rapidly evolving tools.
The podcast titled "The Digital Sovereignty of India: Why Data is the New Battleground," featuring a discussion with Abhishek Bhatt, Secretary General of the Bharat Digital Infrastructure Association (BDIA). The conversation primarily focuses on the concept of digital sovereignty within the Indian context, explaining it as a continuation of the "Swadeshi" (self-reliance) movement adapted for the modern data economy. Bhatt stresses that sovereign control over data is essential for national security, economic prosperity, and democracy, pointing out the vulnerabilities of relying on foreign cloud providers due to extraterritorial laws like the U.S. Cloud Act. He advocates for data attainability over mere localization and highlights initiatives like UPI as models for building a public digital infrastructure that fosters social equity and economic benefit.
The podcast featuring Dr. Bratin Saha, CTO of DigitalOcean, on the "AI with Arun Show," discussing the company's strategy and vision for artificial intelligence. Dr. Saha explains DigitalOcean's focus on democratizing AI for developers and small-to-medium businesses through simplicity, transparent pricing, and high performance, contrasting its approach with that of "hyperscalers" like Amazon. He details DigitalOcean's three-layered Gradient AI stack, which includes infrastructure (GPUs), a platform for building AI agents, and AI-powered applications embedded within the cloud services. Furthermore, Dr. Saha emphasizes the importance of ease of use and affordability in their AI offerings, sharing insights on the future of cloud infrastructure, the balance between open and closed-source models, and advice for startups.
The podcast featuring Dr. Amith Singhee, Director of IBM Research in India and CTO for IBM India and South Asia. The discussion centers on the mandate of IBM Research to act as a growth engine for the company and invent the future of computing, focusing heavily on enterprise solutions rather than consumer products. Dr. Singhee outlines IBM's strategy which combines key technologies like generative AI, quantum computing, hybrid cloud, and semiconductors to solve complex problems, giving an example of using AI for demand prediction in the retail sector. A significant portion of the conversation is dedicated to quantum computing, where he explains the basic principles of qubits and its anticipated role in hybrid systems that solve problems beyond the capacity of traditional digital computing. Finally, he discusses applying these technologies to solve national challenges in India, such as using foundation models based on earth observation data for agricultural crop insurance and disaster management.
The podcast is from the "AI with Arun Show" YouTube video, where host Arun interviews Bani De, a Senior Software Engineer at Microsoft and author of the book Hands-On MLOps on Azure. The discussion focuses primarily on MLOps (Machine Learning Operations) and LLMOps (Large Language Model Operations), particularly within the Microsoft Azure ecosystem. Key topics include defining MLOps, contrasting it with traditional DevOps, exploring Azure's unique enterprise integration features, detailing the end-to-end MLOps pipeline, and addressing challenges like data drift, concept drift, and the necessary cultural shifts for successful operationalization. The conversation also touches upon the evolving landscape of generative AI and AI agents, and the importance of monitoring and versioning for creating robust, reproducible, and reliable machine learning systems.
Get your copy of "Hands-on ML Ops on Azure" from Packt Publishing.Use coupon code 👉 AIWithArun 👈 for a special discount!• 15% off on print books• 25% off on eBooks🛒 Get the book here: https://www.packtpub.com/en-us/product/hands-on-mlops-on-azure-9781836200321?srsltid=AfmBOooLNszHULU_7eSKuNLpRNHJSgUG0l_a9PEB9xKwLQjLtKt_OveE
#AIWithArunShow #MLOps #LLMOps #Azure #AzureMachineLearning #Microsoft #MachineLearning #DevOps #ArtificialIntelligence #GitHub #ModelDeployment #DataScience #CloudComputing #GenerativeAI #ResponsibleAI #BookAlert #agenticai
The podcast provides an extensive transcript from an episode of the "AI with Arun Show" featuring Thomas Scott, the CEO of Wrike, where they discuss the transformation of project management through the integration of Artificial Intelligence (AI). Scott details Wrike's twenty-year evolution from a simple task-tracking platform to a sophisticated, intelligent system, emphasizing the importance of domain fluency and becoming a "system of record" for work. Key topics include Wrike’s multi-product strategy (incorporating acquisitions like Claxon), its approach to gathering customer feedback and structuring its product roadmap, and its significant investments in AI, such as the Wrike Co-pilot and upcoming agentic AI platform, while also addressing critical concerns regarding data privacy and security.
The podcast provides excerpts from a video transcript featuring Martin Lewitt, Senior Vice President of Corporate Development at Nisum, who discusses how Fortune 500 companies are leveraging artificial intelligence beyond initial pilot stages. Lewitt explains that the biggest hurdles to scaling AI are often not the technology itself but rather data infrastructure challenges and the human elements of change management and cultural shifts, stressing that AI implementation should be viewed as a business transformation. The conversation also explores how AI is moving beyond simple automation toward autonomy, enabling new business models and experiences, and addresses critical issues like AI ethics, data governance, and job displacement due to agentic AI. Finally, Lewitt shares his involvement with the Kodi organization, which uses technology to promote diversity and bridge educational gaps.
The podcast features an interview with Pankaj Kedia, an AI expert and investor, on the "AI with Arun Show." Kedia discusses the current landscape of AI, its investment trends, and future potential. He outlines a three-phase framework for AI's evolution, focusing on infrastructure, edge AI, and applied/vertical AI, and shares his investment philosophy which prioritizes early-stage AI ventures across various sectors. Kedia also addresses the shift from general-purpose to domain-specific AI, the global nature of AI innovation, and provides advice for founders on building sustainable businesses and for investors on identifying promising opportunities beyond traditional software and B2B models. He emphasizes the importance of ethical AI from the outset and predicts an "age of abundance" driven by AI's transformative impact on various industries and daily life.
#AI #ArtificialIntelligence #AIInvesting #VentureCapital #DeepTech #Startup #Innovation #AIwithArunShow #PankajKedia #AgeOfAbundance #DataMoats #AgenticAI #EdgeAI #HealthcareAI #EdTech #EnterpriseAI #ResponsibleAI #Investing #TechPodcast
The CEO of Realbotix, Andrew Kiguel, discusses his company's vision for AI-powered humanoid robots designed for meaningful social interaction, as opposed to solely physical labor. He outlines various use cases, from conference assistance and retail customer service to companionship and therapy, highlighting the robots' human-like appearance and advanced AI capabilities, including the ability to understand social cues and maintain eye contact. Kiguel also addresses ethical considerations such as the accuracy of AI-provided information and user privacy, explaining how Realbotix is working to mitigate these concerns. Finally, he shares details about their manufacturing process, pricing tiers, and the unique customizability of their robots, emphasizing their goal of creating personalized companions that can evolve with new AI advancements.
#Realbotix #AndrewKiguel #HumanoidRobots #AICompanions #FutureOfAI #RobotTechnology #SocialRobots #ArtificialIntelligence #HumanRobotInteraction #TechInnovation #AriaTheRobot #CES2025
The AI with Arun Show hosted Deep, CEO of ContextQA, to discuss how his company's no-code, AI-powered platform is revolutionizing software testing. Deep explained that traditional automated testing often lacks context, leading to incomplete or ineffective results. ContextQA addresses this by learning from diverse data sources throughout the software development lifecycle, including documentation, code, user stories, and production logs, to create a comprehensive understanding of an application. This "context" enables the platform to design, automate, and report on test cases more intelligently, even for complex enterprise applications and packaged software like Salesforce or Oracle. The discussion also highlighted ContextQA's self-healing capabilities for test cases and its robust root cause analysis, which provides developers with detailed, actionable insights to fix bugs faster. Deep also shared his vision for the future of software testing, emphasizing the need for tools that match the speed of development and focus on reducing production issues rather than just generating test cases.
#AIwithArunShow #ContextQA #SoftwareTesting #TestAutomation #NoCode #AIAutomation #DeepBarot #QualityAssurance #EnterpriseSoftware #RootCauseAnalysis #SelfHealing #TechInterview #DevOps #AIinTech #FutureOfTesting #MachineLearning#AI #SoftwareTesting #TestAutomation #NoCode #LowCode #ContextQA #DevOps #QA #QualityAssurance #DeepBarot #AIBoostedTesting #AIinTech #FutureOfTesting #SoftwareDevelopment #TechPodcast #MachineLearning #EnterpriseSoftware #Automation #RootCauseAnalysis #SelfHealing #TechInterview #lowcode