XTraw AI: Machine Learning and AI Applications

In this episode 68, I had an engaging conversation with Patrick McFadin from DataStax on the aspects of vector databases and their impact on production level GenAI. We talked about how these vector databases are revolutionizing the way we store, access and analyze data making GenAI more efficient and effective than ever before. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. 

In this episode 66, I had an interesting conversation with Toni Keskinen, a CRO, an author, a chairman, a founding partner and he wears many more hats and is also a catalyst for customer and market driven transformation. We talked the aspects around what does customer centricity really mean and went into the details around the role of AI and ML into strategic discovery, design and implementation. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. 

In this episode 65, I had an engaging conversation with Oren Netzer, the CEO and co-founder of DataHeroes about how you can build an ML model faster by using the methodology of Coresets for AI modeling. We talked about the aspects around how to use the a reduced dataset size without losing accuracy by using algorithms from computational geometry known as Coresets. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. 

In this episode 64, I have been interviewed for a high school project looking up on the impact of AI into the real world applications specifically talking about education and the STEM fields. It was interesting to look back and talk my experiences and journey with the lens of AI. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. 

In this episode 63, I had an exciting conversation with Hardik Parikh, the Co-founder of Shaip on the aspects where and how data takes shape. We talked about a world about data pipelines with no bottlenecks and how you can work with huge amounts of structure big data sets across different categories from healthcare to technology. We briefly touch based on the aspects and the services around computer vision, speech and NLP as well. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. 

A quick re-cap of the XTrawAI podcasts from Sep 2023 and a peek into the future for October and Q4 2023 from XTrawAI. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. 

In this episode 62, I had an interesting conversation with the CTO and co-founder of Findly.AI, Pedro Nascimento, on the topic of how to extrapolate business data for decisions and insights by breaking the technical barriers. It is interesting to note that Findly.AI aptly marries ChatGPT with business data by providing more information on your finger tips with understandable insights at a faster pace. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. 

In this Season 7 opener, the episode 61, I had the pleasure of talking with Boaz Mizrachi, the CTO and co-founder of Tactile mobility about the future of smart and autonomous cars. We discussed about the aspects of vehicles and the vehicle DNA which is not about just visual but also sensory and how you can add a "feel" factor while talking about autonomous vehicles of the future and how AI is playing a big role here. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. 

In this podcast 60, the season 6 finale, I had a conversation with expert guests from SAP, Priti Dhingra and Abhishek Mishra on the new capabilities and enhancements from ISLM. We also talked about the multiple ML platforms and tools and how ISLM is different from the SAP AI Launchpad. We come back in the second half of September 2023 with Season 7 on topics around the applications of LLM, core datasets, autonomous driving vehicles and how AI plays a big role there. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. 

In this podcast 59, I had an interesting conversation with an AI evangelist, an investor and an advisor, a founder himself and a serial entrepreneur, Thomas Neubert on the topic of how to build an AI echo system. We had an engaging conversation and discussed several aspects of what takes to not only build an AI echo system but take it global working with various corporates, governments, NGOs etc., We also talked about the Worldwide AI hackathon event and the upcoming conference on Sep 28,29 of 2023 and how you can get involved. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications.

A quick re-cap of the XTrawAI podcasts from Aug 2023 and a peek into the future for September and Q4 2023 from XTrawAI. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. 

In this podcast 58, I had a detailed conversation with Manoj Shivji, from Dataiku about how enterprises are integrating AI into their business processes to create a broader impact on the enterprise landscape. We also talked in-depth about the data driven decision making for everyone highlighting the end-to-end platform for doing everyday AI. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. 

In this podcast 57, I had the honor of inviting, Krish Ramineni, the co-founder and CEO of Fireflies.AI to talk about the future of work and how conversational intelligence plays a big role in it. We talked about the various aspects of remote work and how conversational intelligence plays a big role to transform conversations into actions. We did a deep dive into the concepts of voice assistants, transcribers and the tools there-on that augment and automate team's workflow with AI. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. 

In this podcast 56, I had the privilege of inviting and talking to a guest, MEB (Marc-Elian Begin), the CEO and Co-founder of SixSq on the need for an edge devices platform in the context of AI. We talked about edge computing and specifically the NuvlaEdge platform which also acts as an app store to take away the management complexity while working on edge computing and cloud computing in the context of AI. We discussed all aspects of how companies and institutions can speed up their edge and cloud strategy while avoiding any lock-ins working with different vendors. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. 

In this special podcast 55, I the host of the XTrawAI podcast, have been interviewed by a school in the middle east about the influence of AI on english literature, authors, poets, play writers and more. I provide some interesting thoughts on the same with a few tidbits on how you can build upon it. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. 

In this podcast 54, I had the honor of inviting Manju Devadas, the co-founder and CEO of Pluto7 to talk about the data lead AI revolution happening with enterprise businesses. We discussed about the immense potential that AI holds in leveraging data, revolutionizing business operations, decision-making processes, and customer experiences using Google Cloud's advanced AI/ML and Generative AI capabilities into SAP systems with Pluto7. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. 

In this podcast 53, I had an interesting and engaging conversation with an author, an AI influencer, AI coach and mentor, Tobias Zwingmann. We discussed various topics around the influence of AI in the rapidly changing business world and how companies need to stay focused by doing the right things to transform the businesses. We also discussed how to create business value while innovating at the same time with AI. Tobias has built up over 50,000+ followers on linkedIn within an year and he also talks about that experience and how to stay current on the technologies. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. 

In this podcast 52, I had the honor of inviting and hosting a guest, Dr. Sreenivas Bhattiprolu aka Digital Sreeni, a luminary in the field of microscopy and digital solutions. He also maintains and hosts a popular YouTube channel with over 75K subscribers called "Digital Sreeni" on the topic of Image and data analysis in the context of AI. In our podcast conversation, we’ve explored how cutting-edge algorithms and techniques are revolutionizing the way we interpret and interact with visual data. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. 

In this season 6 opener, the 51st episode, I had an engaging conversation with Lukas NP Egger, on the topic of LLMs, AI and the impact on the current landscape. Our conversation floated around the large language models, the different applications of the same and also a brief philosophy around it. We also touched on the aspects of ethical AI and responsible AI etc. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. 

This is the first video podcast talking about the highlights around AI news and views around the globe along with a quick re-cap of the season 5 of XTrawAI podcast series. In the recap you see the AI generated images along with AI generated voice talking about the season 5 highlights. Stay tuned for season 6 with more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. The simulated AI voice of the famous youtuber Mr.Beast is used in the last segment!

In this milestone 50th episode of our podcast, I had the pleasure of speaking with K. Rama Rao, the founder and CEO of bloqcube on the aspects of how you can speed-up drug discovery and clinical trials using technologies like AI and blockchain. My conversation with Rama enlightened me about the broad prospects of how the health care industry can benefit leveraging blockchain with AI. We talked the concepts of how de-centralized clinical trials and testing can fasten the drug discovery process in the long run. This is the season finale of Season 5 and we come back in June 2023 with Season 6 on topics around the applications of LLM and how AI plays a big role there. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. 

In this podcast 49, I had a detailed conversation with an SAP guest, Karsten Iling on the one SAP Digital Assistant. Here in this engaging conversation, we talk about the transition from SAP Conversational AI to the SAP Digital Assistant and how it will shape the intelligent enterprise. We also touch base briefly on the current buzz into the chatbots around ChatGPT etc. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications.

A hashed recap of podcasts from April 2023 - you can listen detailed sessions in the respective podcasts! Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications in May 2023 when we will be hitting the 50th episode as well as ending the season5.

In this podcast 48, I had a detailed conversation with Audrey Smith, the COO of ML Twist on the aspects of data privacy and data labeling operations in the context of AI and how it contributes to the transparency of AI models. We also explored how data labeling operations can help us understand on how AI models make decisions and the ethical implications of these decisions. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. The welcome and wrap-up message is recorded in the simulated AI voice of Patrick Stewart!

In this podcast 47, we venture into the healthcare space and the influence of AI/ML. We had an engaging conversation with Ittai Dayan, the CEO and co-founder of Rhino health and discussed the various aspects of using AI/ML to improve diagnostics, treatment, and patient care. We discussed how the platform enables early detection of diseases, increases the accuracy of diagnoses, and tailors treatment plans to individual patients' needs. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications. The welcome and wrap-up message is recorded in the simulated AI voice of Dr. Morgan Freeman!

A hashed recap of podcasts from Mar 2023 - you can listen detailed sessions in the respective podcasts! Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications.

In this podcast 46, we simulated a podcast conversation between the host, chatGPT4 and BardAI with questions around AI. The beauty is that we have used simulated voices of Elon Musk and Joe Rogan for chatGPT4 and BardAI respectively via VoiceAI software. While the questions are real and asked by the host Raghu Banda, the answers are generated respectively by chatGPT4 and BardAI and transformed via the voice AI software. An interesting experiment on both these platforms which are in beta mode now! Hence expect the quality of conversation accordingly. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications.

In this podcast 45, I had an intense conversation with Yonatan Geifman, co-founder and CEO of DeciAI about how innovation is happening on deep learning platforms with AI. We discussed thoughts around how deep learning models can be built better, faster and cheaper with AI using the AutonNAC technology. He also provided some thoughts around how you can democratize the use of NAC search to help teams perform better while developing NLP and computer vision models etc. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications.

In this podcast 44, I had a detailed conversation with a data science and machine learning lead from SAP, Nick Pendar on the aspects of how SAP is innovating with AI in the CX space. We have discussed the various solutions in the CX space - marketing cloud, service cloud, sales cloud and commerce cloud and highlighted the aspects of how personalized experiences and recommendations are provided to the customers etc. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications.

In this podcast 43, I had a detailed conversation with a guest, Dr. Pandian, about the  various different customer experiences from the standpoint of a services organization or a systems integrator in the context of building Enterprise AI projects and products. Dr. Pandian is a pioneer in the world of AI with a Ph.D in high performance numerical and symbolic algorithms for real-time applications from IISc., bangalore, India. In the podcast we will delve into the various aspects of building enterprise AI projects, including data collection, processing, modelling, deployment and monitoring. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications.

In this podcast 42, I had an engaging conversation with Sathish, a fintech Product Executive on how AI is influencing the industry. Sathish has a wealth of experience as a CPO, CPTO with some major companies and worked around the globe on various aspects of AI influence in Fintech. We talked about how AI is shaping the global banking landscape while highlighting on the key aspects of data driven architecture that is key in this transformation. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications.

In this 41st podcast, we start the season 5 with an engaging conversation on the importance of training data and the quality of training data while working on large AI projects or language models. Our guest, Daniel Tapas, the co-founder and CEO of SigmaAI takes us thru' the journey of the people, processes and technologies while working with huge volumes of data and building better data annotation services for enterprise firms and consumer software firms. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications.

In this 40th podcast, ending season 4 on an interesting conversation with a guest from Footprint Analytics, Alex Cooper on the topic of how to analyze blockchain data in the context of AI. We briefly discussed the aspects of how to uncover, extract and visualize the blockchain data across the different chains including NFT and GameFi data. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications.

In this ninth podcast of the Season 4, I had an engaging conversation with a guest from SAP, Hadi Hares, on the topic of SAP's AI tools and how they can be leveraged in the context of building intelligent services and intelligent enterprise applications. We also briefly discuss the various aspects of doing machine learning with the SAP AI tools and analyze the various approaches of doing machine learning and embedding intelligence into the enterprise applications. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on 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.

In the eighth podcast of our third season, I have a very interesting conversation with a speaker from SAP Signavio on the topic of innovation in the context of AI. This concludes the two-part series which started in the last podcast, where we talked about process innovation and RPA. In this podcast, we will be extending that conversation with workflow automation and SAP Signavio. Ofcourse we will be starting the conversation with the culture of innovation and how AI fits into it and later talk about process automation etc., in the bigger scheme of things AI.

In this podcast7 in the season3, I have a conversation with a guest from SAP focused on understanding how end-to-end business processes can be enhanced with process automation. We also talk a bit more into the context of what is available from SAP in the context of RPA bots that are integrated with the end-to-end processes in SAP and how the customers and partners can leverage them and build more.

In this podcast6 in the season3, we will be having a detailed conversation with 2 guests from SAP focused on how the situation handling framework, another key pillar in AI, is leveraged in building AI embedded end-to-end business processes. The concept of situation handling is pioneered by SAP and hence it would be interesting to listen into how these user centric human behaviors are handled in these AI driven processes.

In this podcast5 in the season3, we will be having a detailed conversation with 2 guests from SAP explaining how AI is helping in the public sector domain. This is an interesting conversation where-in we touch base briefly on how global and local governments are actively pursuing to use AI in their daily needs to identify fraud and delays. The AI journey has just started and a lot more to unearth with SAP apps in the AI space!