S2 E9: Niko Vuokko, CTO of Silo AI: AI in 2023 and beyond

In the latest episode of Inference – an AI Business Podcast by Silo AI, our CTO Niko Vuokko and COO Jaakko Vainio sit down to discuss how companies can build real value and a competitive edge by scaling AI initiatives that redefine companies. Tune in to hear our COO's and CTO's outlooks on the main challenges companies face when trying to transition from experimenting with AI to integrating AI into the core of their products, services, or processes. Learn more at www.silo.ai

S2 E9: Niko Vuokko, CTO of Silo AI, talks about the current and upcoming trends in AI. Niko Vuokko is the CTO of Silo AI, leading Silo AI’s technology strategy and IP. Niko is an experienced technology leader of multiple successful enterprises, such as Eniram, Sharper Shape and Metrify, as well as an International Mathematical Olympiad competitor and national team coach. In this episode, we talk about the current trends of AI, as well as the trends that are on the horizon of 2023 and beyond. We talk about the scalability on global natural language resources, ML’s impact to life sciences, state of ML embedding and more. Catch Niko’s recommendations for companies that are adjusting their AI vision and strategy. Get all the above and Niko’s recommendations for companies that are adjusting their AI vision and strategy by listening to the episode today.

Sabrina Maniscalco, a Professor and the CEO of Algorithmiq, talks about the quantum computing and AI. S2 E8: Sabrina Maniscalco is a quantum information and logic professor at the University of Helsinki. She is also the co-founder and CEO of Algorithmiq - a pioneering startup developing real world impact challenges through quantum computing algorithmics. In this episode, we talk about the current state of quantum computing, as well as the close relationship quantum computing has with AI. Sabrina explains state of quantum algorithmic development and discusses its first practical applications. Catch Sabrina’s synopsis of quantum computing’s trajectory, an outline of how AI and quantum computing interact and hear her prediction on the next trends in quantum computing development.

In this episode, Lina Weichbrodt discusses AI Post Mortems and shares her favorite stories regarding machine learning damage control. Lina Weichbrodt is an experienced ML engineer. Having built her career at Zalando and Deutsche Kreditbank, she has developed a specialty for debugging and understanding performance risks of large-scale, deployed systems. Catch Lina’s recap on debugging near-invisible edge cases, customer preference inclusion, and her takeaways for ML debugging and monitoring ops. #AIforPeople #InferencePodcast

Meet Michael Munn from Google, discussing the Advanced Solutions Lab. In the latest episode of Inference, Ville Hulkko of Silo AI sits down with engineering specialist of ML design pattern and explainable AI, Michael Munn. Michael walks us through the operations behind Google’s Advanced Solutions Lab. Catch Michael’s insights on the future of organizational ML adoption, and learn about the evolution behind AI education and the democratization of AI in the industrial space.

S2 E5: Errol Koolmeister, CEO of The AI Framework, talks about the role of strategic AI advisory. Errol is one of the most well-known figures in the Nordic AI scene. Known for his work as the AI lead at H&M, Vodafone, and Nordea, Errol has developed his expertise in pioneering practical large-scale AI implementations. Recently, Errol has “gone rogue”, helping companies make intelligent AI management decisions. In this episode, we learn about the managerial challenges of real-world AI implementations and dive into the recurring themes of AI problem-solving. Catch Errol's take on AI in talent acquisition, infrastructure, and the optimal AI management models, as well as his predictions on the upcoming trends of AI management.

Douglas Castro, NeuralDSP: AI transforming an industry. In S2 E4 of Inference we deep dive into audio processing as NeuralDSP’s CEO Douglas Castro discusses how Machine Learning has transformed an entire industry’s approach to technology. NeuralDSP is the market leader in professional grade audio processing. Their guitar- and bass amplification modeling software, as well as Quad Cortex computation device, have been adopted by both industry professionals as well as advanced hobbyists globally. Their approach to combine DSP with Machine Learning has enabled the creation of extreme efficiency and high quality products. Doug is a known pioneer in the industry. Prior to foundation of NeuralDSP, his previous company, Darkglass Electronics, created the de facto bass amplification system of modern rock and metal music, used by artists such as Faith No More, Periphery and Foo Fighters. Catch Doug’s description how a scientifically extremely complex processes could be scaled with Machine Learning technologies, how the research adoption rate of Machine Learning in audio processing, and learn his predictions regarding the future trends of AI in professional audio. #AIforPeople #InferencePodcast

Timo is a professor at Aalto University ’s Department of Industrial Engineering and Management. Timo is also the co-author of Platform Strategy: a recent book discussing business transformations enabled by AI and platform business models. With Timo, we discuss about the implications that AI will have in management, peopleops, talent matching and leadership. Tune in to catch Timo’s insights into the “whats and hows” of an AI-as-a-manager organization, learn about the key challenges of skill classification and learn Timo’s predictions on the future developments of AI in management processes.

S2 E2: Lina Weichbrodt of Deutsche Kreditbank discusses AI diagnostics, usability and post mortems. Lina Weichbrodt is the Machine Learning Lead Engineer at Deutsche Kreditbank, formerly at Zalando. She has pioneered Machine Learning -focused quality management, debugging and post mortem practices throughout her career and shares her insights regarding ML quality & problem discovery. Machine Learning quality monitoring can be notoriously difficult, due to an absence of the “it either works or doesn’t” -logic common in traditional software applications. Tune in to catch Lina’s recommendations on which PeopleOps principles have a strong indirect affect on algorithmic quality, how ML quality ownership should be allocated, and tips for the best toolkits & recommendations for product owners on how ML quality should be approached. #aiforpeople #inferencepodcast #siloai

NEW SEASON: Episode 1 - Motherbrain, Daniel Wroblewski, EQT Profile photo colorized by a Generative Adverserial Network. EQT is one of the leading private capital powerhouses in Europe, investing heavily in AI and other cutting-edge technologies. To elevate their investment ops, EQT created the “Motherbrain” data & AI platform. Daniel Wroblewski, EQT:s former Chief Architect and Chief of Staff and the head of Motherbrain, walks us through the “why:s and how:s” of creating a private capital AI platform from scratch. Since the recording of the episode, Daniel has moved to operate as Managing Director of Alpha Generation Lab of CPP Investments. Tune in to catch Daniel’s insights into the importance of human-centric design, ways to overcome early adoption challenges with a win-win Active Learning loop, and catch his predictions on the upcoming private capital and AI trends. Hosted by Ville Hulkko of Silo AI. https://silo.ai/inference