XTraw AI: Machine Learning and AI Applications

In this eighth podcast of our season 4, also the first podcast in the new year tWenty23, I have a guest, Kumar Chivukula, the co-founder of Opsera and we talked about the importance of dev Ops and dev secOps in the context of AI. Kumar discussed the various pain points in the dev Ops lifecycle and how Opsera helps address these for enterprise and consumer software companies which eventually help the AI implementations. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications.

In this seventh podcast of our season 4, also the last podcast of the year tWenty22, I talked with a guest on the topic of mis-information and dis-information in the age of AI. Our guest, Eric Olson, the ceo and co-founder of Consensus discusses about how the search industry is getting disrupted with intelligent and expert validated search for personalized user experiences and challenge the googles of the world. This goes on to explain how important it is in this age of user verification and validation that is being accomplished under the leadership of Elon Musk at twitter. Stay tuned for more interesting conversations in the new year tWenty23 from the (XTrawAI.com) podcast series on machine learning and AI applications.

In this sixth podcast of our season 4, I had an interesting conversation, with Subha Ramachandran from SAP, on edge computing in the context of AI. We discussed around the different aspects of always edge and occasional edge and the different edge services provided by SAP in this context with a look into the future. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications.

In this fifth podcast of our season 4, I give you a brief sneak peak into the future of topics all AI from XTrawAI. I provide some thoughts about the AI processes and steps, pillars of AI, domains using AI, technologies and approaches of SAP's AI, Futuristic topics around AI. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications.

In this fourth podcast of our season 4, I had an interesting conversation with the CEO and founder of Labelbox, Manu Sharma, and we discussed the various labeling techniques and labeling services in the context of AI projects. The conversation centered around how enterprises and consumer software companies can benefit immensely with this data engine platform across all kinds of labeling services. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications.

In this third podcast of our season 4, I had a detailed conversation with a guest from a start-up in the context of product observability, feature usage and telemetry in the realm of AI. Our guest, John Cutler(from Amplitude), talks about the importance of being product aware for analysts rather than just being analytics driven usage for the product experts. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications.

In this second podcast of our season 4, I had an engaging conversation with 2 of our guests from an AI start-up on ML platforms. Our guests Amber Roberts and Dat Ngo, talk about how ML observability is important in the realm of building and monitoring ML models for enterprises and consumer businesses. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications.

In the first podcast of our season 4, I will be having a conversation with a start-up founder, Daria Fedko, from Ukraine on the topic of Metaverse and how AI is leveraged. Though Ukraine is a war-torn nation, Daria Fedko was able to spend some quality time to talk about how AR / VR is used in the context of metaverse and how AI can play a big role here. Season 4 is here and stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications.

In this podcast 10 of season 3, I have the pleasure of talking with 2 guests from a partner organization EMQX on the topic of IoT data infrastructure in the context of AI. We talk about the different aspects of IoT starting with the MQTT protocols etc., dating back to the late 90s and the whole enchilada about how IoT services evolved and how data analytics play a big role. This is all tied with how currently IoT services are embedded into the enterprise applications and more.

In this podcast9 in the season3, I had a detailed conversation with 2 SAP guests on the topic of AI based personalized recommendation service. We talk about the different aspects of recommendation services and how AI/ML based recommendation services evolved and how personalization plays a big role here. Different examples across retail, commerce cloud, HR and real content based recommendations with details about the different kinds of recommendation services are also discussed. This conversation dives a bit deeper into the aspects of how recommendation services are even built.