Future Says

Our Season 2 finale features James Scapa, founder, chairman, and CEO of Altair. Early on, Scapa pioneered the vision of the convergence between AI, simulation, and HPC. In this episode, we delve into what this has meant for how the business has been shaped and developed over the past 35+ years.

What does learning and innovation look like for organizations in a post-pandemic world? What are the new risks emerging and how will these be managed to keep the workforce engaged? These are the questions that leaders at Capgemini are asking themselves as they review their goals for the coming years. They kept recruitment and specifically recruitment of a diverse workforce at the center of their pandemic agenda when most companies slowed down on these initiatives. How has this worked out for them?

For healthcare providers worldwide, data was at the heart of the response to COVID-19. In England, frontline responsibility for dealing with the pandemic rested on the shoulders of the National Health Service (NHS). We're joined by NHS England’s Chief Data Officer Ming Tang to discuss how being data-driven helped steer the NHS through the pandemic.

The gaming industry, undoubtedly, is the early adopter when it comes to AI. Gaming has been used as a testbed for AI use cases and the sector has seen a lot of success with areas such as content automation and personalization. In this episode of Future Says, we're joined by Sahar Asadi, the AI research lead at King and co-founder of Women in Data Science (AI and ML), Sweden to discuss what's next for AI and gaming, why King is investing in machine learning, and how they're democratizing it across their organization.

High-performance computing (HPC) has traditionally been thought of as a tool for the few, not for the many. However, with the convergence of HPC, the cloud, and AI, we're seeing a move toward the democratization of these technologies, particularly with the potential of utilizing hybrid work environments with a combination of cloud and on-premise technologies.

In this episode, host Sean Lang is joined by Google's Chief Technologist for HPC, Bill Magro, as he explores the growth and accessibility of HPC as well as the environmental issues related to these technologies.

Every year, over 1 million people are killed in traffic accidents. It’s a staggering statistic, and particularly so since the biggest cause of these deaths is human error. One of the best arguments for perfecting and commercializing autonomous vehicles is that it’ll save lives, but doing so is anything but straightforward. In this episode, host Sean Lang and Zenseact's Vanessa Eriksson discuss the challenges and opportunities associated with the development of autonomous vehicles.

In this episode, host Sean Lang is joined by Nikita Fadeev, portfolio manager at Fasanara Capital and Forbes "30 under 30" lister, to discuss the democratization of financial services through decentralized finance (DeFi), cryptocurrency, and NFTs. The level of media attention that the world of cryptocurrency is attracting often feels inversely proportionate to the degree of real insight that’s available. What are the current key trends shaping the crypto domain and how can you understand more about where the financial services industry is heading? 

Our first episode of Future Says Series 2 kicks off with a lively discussion on sustainable AI. Throughout society, there's growing concern that we're simply not in control of a technology that has the potential to do immense harm. Rogue algorithms, biased facial recognition, and deepfake videos may just be the tip of a troubling iceberg. There are also environmental impacts to consider. But if boundaries are needed, where and how do we go about drawing them?

In this season's final episode, we discuss the importance of preparing data for AI and machine learning, as well as why it's crucial for organizations to embrace data transformation. High quality data keeps businesses healthy - it's what supports truly transformational business decisions. All organizations need to be able to trust their information and implement proper data and AI foundations. 

AI is everywhere, and amplified intelligence can help you reimagine your processes to leverage the technology’s capabilities in augmenting human capacity. By giving people self-service solutions, AI can rehumanize work, allowing us more time to focus on being human instead of spending our lives thinking like machines. The difference between the winners and losers in this transformation will be determined not by whether you have implemented AI, but on how you have, and who you have involved in the process.