Inference: AI business podcast by Silo AI

Regulation, ethics & geopolitics of AI. AI development advances with staggering speeds across the globe, while the democratization of tools grow the number of developers in every corner of the planet. "Through the explosion of smart devices, more people arguably have access to Artificial Intelligence than clean water today", says Mark Caine from World Economic Forum. In a world where transformative technologies outrun human procedure, defining regulative and ethical boundaries can be an overwhelming challenges. World Economic Forum, the Switzerland-based NGO, has made strong advances in researching the implications of AI politics, as well as spreading the best practices of AI implementation and regulation to the public and private sectors alike. Mark Caine is the head of World Economic Forum’s Global AI Action Alliance (GAIA). In this episode, we discuss the state of AI development across the globe, the different approaches to regulating AI as well as the state of AI ehtics discussion. Mark is a diplomat by background with a keen interest for emerging markets. At WEF, Mark leads government affairs at the Center of Fourth Industrial Revolution alongside GAIA. A former Research Fellow at London School of Economics, his work with sustainable energy policy within African Union Commission has gained global attention. Mark is also a known lecturer at LSE, Stanford, UCL, and more. Tune in to catch Mark’s insights on emergent AI hubs outside of “the big three”, the paradigms of AI regulation vs. AI-inclusive regulation, and catch Mark’s predictions on the future development of AI politics. https://youtu.be/bYh5J8kwGA0 https://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

Inference #20 out - State of AI in Denmark with Stephen Alstrup, Supwiz With the release of the State of AI in Nordics 2021 report, we’ll be taking a look at the Danish AI ecosystem. Professor Stephen Alstrup is one of the most prominent figures of Danish digital affairs. Stephen is a professor of algorithms at University of Copenhagen, the chair of the national digital advisory as well as the CEO of Supwiz. With Stephen, we’ll be taking a look at the state of AI in Denmark within the private sector, public sector as well as academia. Tune in to catch Stephen’s suggestions for AI policy making, POC:s vs. production level implementations and learn Stephen’s recommendations for next concrete steps to build Denmark into a more advanced digital society. Hosted by Ville Hulkko of Silo AI. https://silo.ai/inference

Jouni is a senior AI engineer at Silo AI and the Nordic champion of the globally renowned DeepRacer competition. An enthusiast of signal processing, cloud + local data management, Jouni jumped into the deep end of Reinforcement Learning and simulation-based training to take on the challenges creating an autonomously piloting system. Tune in to catch Jouni’s shock and recovery during his first physical race, learn about the deeper implications of DeepRacer and catch Jouni’s predictions of the upcoming applications of Digital Twins. https://silo.ai/

Tero Ojanperä discusses intelligent platforms & platform strategy. Tero Ojanperä is a co-founder and chair of Silo AI, and a professor of practice at Aalto University. This fall, Tero and his co-author, Professor Timo Vuori, released a book called Platform Strategy: Transform Your Business with AI, Platforms, and Human Intelligence. The book describes seven steps to converting a business into a platform. Tune in to catch Tero’s thoughts on upcoming transformation trends caused by platform thinking, understand AI’s role within platforms, and learn from multiple practical case studies on real-life platform strategies. https://intelligentplatforms.ai/ https://silo.ai/

Inference #17: ML Design Patterns with Michael Munn from Google Information can be lost in translation. As new technologies require a unified framework for discussion, they too require it for semantics. Michael Munn, along with his co-authors Valliappa Lakshmanan and Sara Robinson, released a book called ML Design Patterns to help codify common modeling- and engineering problems, solutions, and approaches into uniform language, aiming to democratize ML comprehension. Michael is a professor and mathematician by background. At Google, he works with Google Cloud Platform’s customer-facing projects and is one of the driving forces behind Google’s Advanced Solutions Lab. Tune in to learn about the difference between academic vs. democratic ML, best practice sharing between Google’s teams and matching of Google’s MLOps principles to customer ways of working, and upcoming MLOps trends. https://youtu.be/hNtJJ5R_T9s

Anna Mossberg – Managing Director, Silo AI Sweden, ex-Google and Telia Choosing the first AI path of an organization can be a daunting task. Which challenge to tackle first? Where to get the skills and tools to do it? How to manage and budget the process? Anna Mossberg walks us through the steps that organizations both lean and large need to take to successfully embark on their AI journey and implement data strategies. Anna is a technology leadership professional, with a solid background in companies like Google and Telia. Throughout her career, Anna has been the driving force behind data strategies of multiple listed companies, and is a strong advocate of rapid technological experimentation. Tune in to hear Anna’s view on first selecting the first AI path, the role of data strategy, and what different organizational methods exist for early AI adoption. We’ll also get to hear Anna’s concrete three-step program for taking AI from talking to action.

Data monitoring & quality - Patrik Tran, CEO of Validio “We have good quality data” is a phrase spoken by most organizations. Theory and practice differ, however, as Validio approaches data from a different perspective: all data is flawed by nature, and thus our focus should be on monitoring, understanding and tolerating it. Patrik Tran, PhD, is the co-founder and CEO of Validio, working on a toolkit for data monitoring. With a stellar background in academia and upper management data consultancy, Patrik evangelises a key message: Data is never perfect. Tune in to learn about the famously mismanaged approach to data quality, difference between academic and practical data quality, how data engineers should be empowered within organizations, and hear Patrik’s three predictions on the future of data monitoring within the next years.

Speech & AI - Otto Söderlund, Speechly In our fifth episode, we discuss the the rising creed of speech user interfaces and the pivotal role AI technologies play in their emergence. Speechly is a unique speech understanding & Natural Language Understanding technology company, formed around ex-Apple Siri developers. In this episode, we discuss the status of speech technologies globally, and focus on local languages and the strategic and political importance of having independent technology available. Otto Söderlund is the CEO of Speechly. A seasoned technology entrepreneur with an exit under his belt, Otto has been pioneering language understanding development in the private sector. Find out Otto's predictions for the next 24 months of speech UI emergence, and get his take on state of speech tech in Finland vs. in Netherlands, in the UK, or in Sweden.

MLOps - Eero Laaksonen, Valohai In our fourth episode, we discuss the emerging creed of MLOps - the art of managing Machine Learning workflows as a part of operations. Valohai is a pioneering MLOps & ML deployment platform startup that focuses on enabling the deployment of complex data science workflows through the Valohai platform. In this episode, we discuss different creeds of ML deployment platforms, and hear Eero's opinion about the current state of MLOps across company types. Eero Laaksonen is the CEO of Valohai. With background in technology innovation consulting and deep tech development, Eero manages Valohai's team consisting of senior level data science experts from both Finland and Silicon Valley.

Building AI products & teams - the art of combining human, machine and design. We discuss how the perception of AI products has shifted from core technology to holistic design, and map out changes in team structures. Human-machine interfacing is becoming a critical part of almost every digital process - find out what demands it sets for teams. Marc Dillon is a renowned technology entrepreneur and the active CTO of Basemark. Previously known for his work as the Co-founder and figurehead of Jolla, a telephone industry challenger platform, Marc has been a central part of building products and offerings utilising Machine Learning as the centre of core tech stack. Ville Hulkko is Co-Founder at Silo.AI, the largest private AI lab in the Nordics. Prior to Silo.AI he co-founded Valossa Labs, a computer vision startup. Ville lead the company to Silicon Valley, where he also founded Blackbear Startup Incubator.

TinyML - AI pushed to the edge, delivering larger impact in smaller packages We discuss the state of edge technologies, emergence of AI in microcontrollers, use cases of TinyML ranging from maritime to savannah plains, and predict what’s going to happen in the future of edge AI. Zach Shelby is the CEO of Edge Impulse, and a seasoned veteran of edge technologies. Zach sold his previous IoT technology company, Sensinode, to ARM in 2013, he has since directed ARM’s development and edge technology teams. In 2019, he embarked on another entrepreneurial venture to co-found Edge Impulse, a Tiny Machine Learning platform, aiming to democratize AI in smaller packages. Ville Hulkko is Co-Founder at Silo.AI, the largest private AI lab in the Nordics. Prior to Silo.AI he co-founded Valossa Labs, a computer vision startup. Ville lead the company to Silicon Valley, where he also founded Blackbear Startup Incubator.