Claim OwnershipFuture Says
Subscribed: 1Played: 0
Subscribe
© 2025 Altair
Description
Future Says isn’t just aimed at those on the front line of data analytics and AI. If you’re interested in creating a data-driven future, ensuring data and AI are used responsibly, or just want to hear from some of the industry’s brightest minds, Future Says is for you. Future Says is where leading experts share insights concerning data, AI, high-performance computing (HPC), and other aspects of the emerging digital revolution.
Future Says is brought to you by Altair, a global leader in computational intelligence that provides software and cloud solutions in simulation, high-performance computing (HPC), data analytics, and AI.
Learn more at https://www.altair.com/ and altair.com/future-says/.
Future Says is brought to you by Altair, a global leader in computational intelligence that provides software and cloud solutions in simulation, high-performance computing (HPC), data analytics, and AI.
Learn more at https://www.altair.com/ and altair.com/future-says/.
43 Episodes
Reverse
In the finale of Future Says S5, Notus Labs’ founder and CEO Evan Davies speaks about how the company is using advanced data, AI, and machine learning to prevent needless heat stroke in athletes.
Carbon Origins founder and CEO Amogha Srirangarajan talks about how VR and AI are poised to reshape the world of heavy industry, and how making robots commonplace can (maybe) help us get to the moon.
Food roboticist Jonathan Blutinger has been working on 3D-printed food technology for nearly a decade. So, could tomorrow’s steaks and cheesecakes come from printers, rather than cows or ovens? Find out today!
Every year, 92 billion pounds of food go to waste in the U.S. alone. In this episode, Strella Biotech founder and CEO Katherine Sizov dives into how data and AI can sustainably minimize food waste.
John Deere’s Tim Marquis knows that when people think of “smart” technology, agriculture may not come to mind. But in this episode, he explores how agriculture is harnessing the digital revolution.
Wipro’s Gaurica Chacko had a front row seat to witness how the pandemic changed the ways we live and work. Tune in as she discusses how machine learning, AI, and data analytics has changed healthcare.
Hyatt’s Arlie Sisson witnessed hospitality undergo a complete transformation in the past half decade. Hear her thoughts on how the COVID-19 pandemic redefined what it means to prioritize guests.
As a trend scout for Nokia, Leslie Shannon’s job is to separate what’s real from what’s hype. In this episode, listen in as she explores the future of generative AI, the metaverse, and more.
Google’s Anne Pauley is all about 3D printing. Learn her thoughts on the past and future of 3D printing, the intersection of manufacturing, design, and materials science, and cultivating community.
McKinsey’s Chris Wlezien has seen tools and methods come and go throughout his career, but he believes generative AI is a true game-changer. Tune in to hear Wlezien’s perspective on the genAI boom.
There’s one expression Informa Tech Automotive’s Maitê Alves Bezerra uses when it comes to software-defined vehicles: paradigm shift. Tune in to see how they’re going to change the automotive landscape.
XING Mobility’s Hsiou (Sherwood) Hochen sits down to talk about how a new era of EVs demands a new generation of battery cooling technology. The answer, he and XING believe, lies in immersion cooling.
Hydrogen is the universe’s most common element – why not use it to power our vehicles? Nikola Corporation’s Pedro Garcia explores how hydrogen could revolutionize the automotive industry.
ITS America’s Laura Chace joins Future Says to explore why envisioning tomorrow’s transportation safety frameworks is crucial, and how next-gen connectivity and ADAS can reshape transportation safety.
Tune in to hear Karma Automotive’s Jada Smith discuss how technology is defining a new era of automotive and how regulation and sustainability are shaping OEM strategies and focus areas.
In this episode, Blink Charging’s Mike Battaglia talks about the development of EV charging infrastructure and what it’ll take to have the right charger in the right place at the right time globally.
Welcome to Future Says season five! Kicking everything off is EY’s Constantin Gall, who dives into the challenges and promise of automotive electrification, how software is redefining the vehicle experience, and beyond.
In Future Says season four’s final episode, Oracle’s Viji Krishnamurthy discusses all things generative AI in auto, specifically how we can go from prediction to creation with AI. Tune in to hear more about generative AI’s potential in the automotive industry, supercharging productivity with data and AI, how to build a long-term generative AI approach, and what lies ahead for generative AI and its use cases.
S4E7, featuring Yazaki Europe’s Sofia Salazar, is all about how to tackle warranty claims with a human- and data-centric approach. Tune in to hear Salazar explore how to embrace a quality mindset in warranty claims, how to prioritize human values and relationships throughout the process, and how data science can unlock new ways to bring down costs for all stakeholders involved.
In episode six of S4, featuring Subaru Canada’s Sandeep Gupta, discover how data within connected cars is poised to reshape the automotive landscape for consumers and OEMs alike, and how experts like Gupta are ushering in a new era of automotive innovation. Tune in to learn more about the importance of connected cars, how 5G and ADAS is bolstering real-world data, how data is transforming automotive design, and more.
In S4E5, featuring Accurate Consulting's Johan Kölhi, explore the importance of building the “magic mix” of AI and business expertise within teams, and also how (and why) to build AI “communities," keeping it simple with data/AI, and how organizations can ensure they're building safe, reliable AI applications.
In this episode with Magna’s Rajeev Verma, explore the automotive innovations driven by data analytics and Industry 4.0 practices. Discover how Verma believes the “fourth industrial revolution” is impacting auto, including how it’s revamping data analytics tools and processes, changing data scientists’ roles, expanding the importance of MLOps, and much more.
This episode, featuring Nissan’s Anant Agarwal, is all about data. Learn more about why Agarwal believes enterprise-wide data literacy is more important than ever in the automotive industry. Tune in to this episode to explore the power and importance of data literacy, the developing generative AI landscape, what’s next for data and AI in automotive, and much more.
In this episode featuring Renault’s Luc Julia, discover how Silicon Valley and artificial intelligence (AI) is transforming the global automotive industry. Tune in to discover Julia’s Silicon Valley background and its impact within Renault, AI’s impact on automotive design and development, the status of the “AI hype cycle,” AI as a tool for good, and much more.
Welcome to season four of Future Says! This season is all about the automotive industry. To kick off S4, host Sean Lang speaks to Peter Campbell, a global motor industry correspondent for the Financial Times. In this episode, the two discuss megatrends in the automotive industry, the industry-wide race to electrification, data analytics, and much more.
In this episode, host Sean Lang speaks with Ravi Parmeswar, vice president of consumer business intelligence at Johnson & Johnson. The duo discuss Parmeswar's idea of "hard" and "soft" skills and how to build them, how to score short-term data science and AI wins in service of a long-term vision, the coming generation of computational science and the people who will lead the industry, and more.
In this episode, host Sean Lang welcomes guest Jan Chirkowski, vice president of analytics and fleet operations at Kongsberg. Here, the two discuss the shifting, growing role of data science (even in non-data traditional industries), what role data science will play in the future, and how digital twin technology has already transformed the way Kongsberg does business.
In this episode, host Sean Lang and Deheeger discuss how more domain experts in engineering, data science, manufacturing, and more are now working in hands-on AI roles. They also discuss how to achieve both short- and long-term successes, how to upskill employees to work with AI and data, and how to embed data- and AI-driven insights into product development cycles from start to finish.
In this episode, host Sean Lang welcomes guest Geertrui Mieke De Ketelaere, an adjunct professor of ethical AI at Vlerick Business School and a strategic AI advisor at imec. In this episode, she discusses what problems AI solves best, how organizations should build bridges between technical teams and domain experts, and how engineers can play a more dynamic role in AI projects moving forward.
We're excited to start Series 3 with an interview with Ford Digital Twin Lead Vijay Kempuraj. In this episode, Kempuraj and host Sean Lang discuss all aspects of digital twin technology, including how organizations can build an achievable strategy, how to demonstrate short- and long-term value, and where Ford anticipates digital twins will head in the coming decade.
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.
In this episode, host Sean Lang is joined by Dr. Richard Benjamins as they review some of the opportunities and issues with using AI for social good. There are a myriad of ways that AI can be used for social good: improving quality of education, alleviating poverty, and aiding in the fight against climate change. In the push to use AI for social good, we need to increase collaboration between key industries and work together to understand the potential negative consequences of using AI in the drive to solve some of the world’s toughest problems.
Join host Sean Lang and guest Girish Agarwal as they delve into the topic of AI business model innovation. Despite the global impact of Covid-19, AI investments have been largely unchanged since the start of the pandemic. However, companies are not yet seeing the ROI’s that AI has promised to deliver. This difference shows that business models will need to change, and these innovations will continue to play a key role in the future success of AI projects.
For our first episode, host Sean Lang is joined by Aiko Yamashita to explore the responsible use of data and AI. Amidst headlines of discriminatory algorithms and the inherent biases within machine learning, the important question that needs to be addressed is: How do we ensure that AI is ethical?
Comments
Top Podcasts
The Best New Comedy Podcast Right Now – June 2024The Best News Podcast Right Now – June 2024The Best New Business Podcast Right Now – June 2024The Best New Sports Podcast Right Now – June 2024The Best New True Crime Podcast Right Now – June 2024The Best New Joe Rogan Experience Podcast Right Now – June 20The Best New Dan Bongino Show Podcast Right Now – June 20The Best New Mark Levin Podcast – June 2024
Download from Google Play
Download from App Store
United States