Through The Corporate Glass

Through The Corporate Glass

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In this podcast, we dive into the latest trends in tech careers, demystify industry roles, spotlight startups, and even explore unconventional paths outside the industry. Join us for authentic conversations that will challenge your assumptions and inspire you to think differently about ways to build a meaningful career.

18. März

83. AI Series: Sales Craft in the age of AI

What does a career in Sales in the era of AI look like? Most technology products are built for or augmented by AI in some shape or form. What are the unique challenges and opportunities while selling AI products? How can folks at different stages in their career be more successful by leveraging AI . To answer this we chat with Jason Langone, Head of Global AI Business Development, Nutanix. He has over two decades of experience spanning large companies and startups in a variety of roles. Before his current role at Nutanix, he was an early-stage growth executive, leading a GenAI startup from seed through Series A, owning PMF, pricing, fundraising, and founder-led selling.

30 Min.
12. Jan.

82. AI Series: Generative UI and the Future of UX Design

Generative AI is reshaping the world of UX design. And one of the most exciting innovations at its forefront is Generative UI. Today, we’ll explore what this means for the craft of design, the opportunities it opens up, the challenges it raises, and how it could shape design careers in the years ahead. To talk about this and much more, we're joined by Parikshit Deshmukh, the co-founder of Thesys, a company pioneering the future of user experience through Generative UI. Parikshit has over a decade of experience shaping design at fast-growing technology companies. He was Head of Design and a founding member at DevRev.ai. Before that, he led design at Recko.io, a fintech startup acquired by Stripe, which was one of the biggest SaaS requisitions, and was an early member of the design team at Nutanix. Shownotes LinkedIn Profile: https://www.linkedin.com/in/parikshitd/ Website: https://www.thesys.dev/Generative UI : https://youtu.be/-SlZp2H1jZ4?si=R0l7HVWKbkIdYdy9Thesys in news : https://www.forbes.com/sites/davidprosser/2024/11/07/how-thesys-plans-to-change-the-look-and-feel-of-ai-forever/

32 Min.
09.11.2025

81: AI Series: AI in Manufacturing

How is AI being applied to traditional industries? We will take a deeper look at the manufacturing industry, the concept of Industry 4.0 and the role of AI and Subject Matter Experts. We will discuss the need for new skills and also how experts can become powerful consultants driving the new AI tools landscape.To discuss this and a lot more we chat with Liana Kbilashvili. Liana is a global supply chain executive with over 15 years of leadership experience in the manufacturing sector. She was previously Director of strategic procurement at Summit Materials. In her current work, Liana advises organizations on AI readiness and digital adoption within supply chains. She serves as a strategic liaison between the established manufacturers and the technology innovators. Shownotes Linkedin Profile: https://www.linkedin.com/in/lianakbilashvili/ Industrial AI Podcast https://open.spotify.com/show/5bZ2ycqHSddXZqhYJmOwMZ Spotify “The future of AI in manufacturing and its real-world applications” https://www.plantservices.com/technology/artificial-intelligence/podcast/55138717/podcast-the-future-of-ai-in-manufacturing-and-its-real-world-applications Plant Services “Manufacturing, AI, and how companies are utilizing disruptive tech” https://www.smartindustry.com/podcasts/podcast/55063676/podcast-manufacturing-ai-and-how-companies-are-utilizing-disruptive-tech Smart Industry Embracing AI in the Manufacturing Industryhttps://www.fisherphillips.com/en/news-insights/manufacturing-success-ai-in-manufacturing-part1.html Fisher Phillips AI and intelligent manufacturing” podcast https://blog.se.com/digital-transformation/artificial-intelligence/2025/02/24/podcast-ai-and-intelligent-manufacturing/ Schneider Electric Blog Where AI Works: Conversations at the Intersection of AI https://podcasts.apple.com/us/podcast/where-ai-works-conversations-at-the-intersection-of/id1801560422 Journal of Manufacturing Systems https://www.sciencedirect.com/journal/journal-of-manufacturing-systems ScienceDirect CIRP Annals — Manufacturing Technologyhttps://www.cirp.net/mainmenu-publications/cirp-annals-col-200/cirp-annals-presentation.html CIRP CIRP Journal of Manufacturing Science & Technology (JMST)https://www.cirp.net/mainmenu-publications/other-publications/cirp-journal-of-manufacturing-science-and-technology.html CIRP International Journal of Advanced Manufacturing Technology (IJAMT)https://www.springer.com/journal/170/ Journal of Manufacturing Processeshttps://www.sciencedirect.com/journal/journal-of-manufacturing-processes ScienceDirect Siemens – “Top Use Cases of AI in Manufacturing” (whitepaper / e-book)https://resources.sw.siemens.com/en-US/e-book-insight-hubs-ai-manufacturing-use-cases Siemens Resources Siemens – “Exploring the Spectrum of AI Use Cases” report (PDF)https://assets.new.siemens.com/siemens/assets/api/uuid%3A78180c5e-acd3-48bd-9ab6-573f69bcb361/manufacturing-intelligence-exploring-spectrum-ai-cs24-report.pdf Siemens Assets Siemens – “How Siemens Is Transforming Supply Chain with AI” (case study)https://aiexpert.network/case-study-how-siemens-is-transforming-supply-chain-with-ai/ AIX | AI Expert Network Siemens – “How Siemens Uses AI to Orchestrate Supply Chain” (LinkedIn article)https://www.linkedin.com/pulse/ai-scm-case-study-4-how-siemens-uses-ai-orchestrate-chain-jianaguli--7xsaeLinkedIn Intelligent Manufacturing in the Era of Industry 4.0 — Case Study (Siemens)https://inoindustry.com/en/intelligent-manufacturing-in-the-era-of-industry-4-0-case-study-on-siemens/InoIndustry Using Artificial Intelligence to Enhance Manufacturing Efficiency https://www.researchgate.net/publication/393648421_USING_ARTIFICIAL_INTELLIGENCE_TO_ENHANCE_MANUFACTURING_EFFICIENCY_A_CASE_STUDY_ON_SIEMENS ResearchGate

37 Min.
05.09.2025

80. Product Management through the lens of consulting

Switching roles as part of your career journey involves being open to new challenges and embracing change. There could however be overlap of skills required across multiple roles. In this episode we will chat with Samina Diamond, Principal Product Manager at Nutanix to examine the role of Product Management under a microscope and identify some overlap areas with consulting. Samina has over 25 years of industry experience and brings a unique perspective to this conversation given her experience with software and management consulting as well as product management. She is also on the board of Tandem, a non-profit in the space of early learning.

23 Min.
26.07.2025

79: AI Series: Careers in Operations Research and AI

What does the field of Operations Research entail? How does it relate to AI, machine learning and analytics? How is it applied in industry? What are the current areas of research focus & how does the new wave of Generative AI fit in? To answer this and much more we will talk to Dr Radhika Kulkarni, an Advanced Analytics professional, active in the areas of Operations Research, Artificial Intelligence and Machine Learning. She retired after 35 years of leading various areas of analytics R&D at SAS Institute, Inc. For the last 10 years of her professional career, Dr. Kulkarni was the Vice President of Advanced Analytics R&D, overseeing software development in many analytical areas including Statistics, Operations Research, Econometrics, Forecasting, Data Mining, and Machine Learning. Dr. Kulkarni served as the 2022 President of INFORMS. https://www.informs.org/Explore/History-of-O.R.-Excellence/Miser-Harris-Presidential-Portrait-Gallery/Radhika-Kulkarni https://www.orie.cornell.edu/radhika-kulkarni-ms-80-phd-81 https://en.wikipedia.org/wiki/Radhika_Kulkarni

43 Min.
15.06.2025

78. Technical Marketing for a Generative AI product

What is unique about technical marketing for a GenAI product? What are skills necessary to be successful? What challenges and opportunities does AI add to the mix? We address these as we delve into the career journey of Laura Jordana, Director Technical Marketing, Nutanix. Laura graduated with a Bachelors in Computer Science from San Jose State University and has close to two decades of experience spanning site reliability engineering, support, sales enablement and technical marketing. She now focussed on an AI Inference platform called Nutanix Enterprise AI. Show Notes Laura's Linkedin: https://www.linkedin.com/in/laurajordana/ Posts and Content Created by Laura https://www.youtube.com/watch?v=ynspIURn4To&list=PLAHgaS9IrJef7bWOvz7SKubDCphVcdi7u https://www.linkedin.com/pulse/experimenting-vision-models-nutanix-enterprise-ai-laura-jordana-mreec/?trackingId=hvHVY65RRwGx9PDYffjG8g%3D%3D

23 Min.
13.04.2025

77. AI Series: Behind the Scenes of AI Infrastructure Careers

We dive into the world of AI infrastructure and explore the exciting career opportunities it offers. What goes into building an AI infrastructure product? How does open source play a transformative role in the industry? What key skills are essential for a successful career, and how has GenAI changed the landscape? To help us answer these questions and more, we’re joined by Johnu George, Technical Director at Nutanix developing an AI Inference Platform called Nutanix Enterprise AI. He is also the Co-Chair of both the Kubeflow & AutoML Working Group and the MLCommons Working Group Shownotes Johnu's Linkedin Profile: https://www.linkedin.com/in/johnu-george-83036610/ Kubeflow: https://www.kubeflow.org/ KServe: https://www.kubeflow.org/docs/external-add-ons/kserve/introduction/ ollama: https://ollama.com/ AnythingLLM: https://anythingllm.com/ Nutanix Enterprise AI: https://www.nutanix.com/products/nutanix-enterprise-ai

25 Min.
03.03.2025

76. AI Series: Careers in Data and Decision Science

In this episode, we explore the role of a decision scientist and how it's related to data science with Anand Ramanathan, Decision Scientist at Meta. We will contrast data science research with roles in the industry to point out both strengths of each as well as differences between them. We'll unravel the skills required to be successful, the opportunities, and then also the challenges. Anand has a fascinating background with a PhD in physics from the University of Maryland and more than a decade of experience as a physicist at both NIST and NASA before embarking on a career as a data scientist. Show Notes Anand's Linkedin Profile Kaggle Book Recommendations Thinking Fast and Slow Noise

43 Min.

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In this podcast, we dive into the latest trends in tech careers, demystify industry roles, spotlight startups, and even explore unconventional paths outside the industry. Join us for authentic conversations that will challenge your assumptions and inspire you to think differently about ways to build a meaningful career.

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