Technology Now

Hewlett Packard Enterprise
Technology Now Podcast

HPE news. Tech insights. World-class innovations. We take you straight to the source — interviewing tech's foremost thought leaders and change-makers that are propelling businesses and industries forward.

  1. 5 DAYS AGO

    Are no-code apps a ticket to productivity or a shadow IT nightmare?

    In this episode we are looking at the growing market for no code or low code app development. The premise is simple. Rather than coding an app or tool yourself, you simply drag and drop pre-existing components, data sources, and data outputs into a map, and set the actions to whatever you need. However, there are challenges, including the creation of shadow IT systems within an organization, and giving non-experts the ability to interact - potentially destructively - with your data. Joining us today to discuss the challenges and opportunities is Richard Kerridge, a strategist in HPE Education Services customer team. This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA About this week's guest, Richard Kerridge: https://www.linkedin.com/in/richard-kerridge/?originalSubdomain=uk Sources cited in this week’s episode: P&S Market research report on the low-code and no-code markets: https://www.psmarketresearch.com/market-analysis/low-code-development-platform-market#:~:text=The%20low%2Dcode%20development%20platform%20industry%20will%20reach%20a%20value,USD%20167.0%20billion%20in%202030.&text=The%20market%20for%20low%2Dcode,USD%2032.4%20billion%20in%202024.&text=The%20industry%20for%20low%2Dcode,existence%20of%20some%20major%20playersChina to launch Mars sample return mission: https://spacenews.com/china-to-launch-mars-sample-return-mission-in-2028-will-follow-planetary-protection-guidelines/

    23 min
  2. 12 SEPT

    HPC and extreme weather - How tech is helping save our lives and livelihoods

    2024 has already been a difficult year for extreme weather. The hurricane season on the eastern seaboard of North America is already one of the earliest active seasons on record. Meanwhile, according to the National Oceanic and Atmospheric Administration (NOAA) in the US, as of August 8th, this year has already seen 19 weather events cause damage upwards of a billion dollars, with 149 people left dead. That’s in the US alone. So, how are supercomputing and high performance computing helping to mitigate the effects of such extreme weather? Joining us to discuss is Ilene Carpenter, Earth Sciences segment manager at Hewlett Packard Enterprise. This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA About this week's guest, Ilene Carpenter: https://www.linkedin.com/in/ilene-carpenter-9a15511/ Sources cited in this week’s episode:The first computer weather predictions: https://web.archive.org/web/20200626175559/https://apps.dtic.mil/dtic/tr/fulltext/u2/101943.pdfUS National Weather Service computing power: https://www.weather.gov/about/supercomputers#:~:text=NWS%20super%20computers%20hold%20numerical,buoys%2C%20radar%2C%20and%20moreUK Met Office computing power: https://www.metoffice.gov.uk/about-us/who-we-are/innovation/supercomputerStatistics on US extreme weather damage in 2024: https://www.ncei.noaa.gov/access/billions/Atom interferometry breakthrough: https://www.science.org/doi/10.1126/sciadv.ade4454

    21 min
  3. 5 SEPT

    The intelligent data platform - a database for the AI era

    The global market for databases grew by 12.8% in 2023, according research by Gartner, and is now worth some $102bn annually. Within that, data science and AI platforms were the fastest-growing subsegments. Clearly, there’s a growing need for smart database solutions that can interpret data and provide insights to all levels and roles within an organization. And it’s one of those solutions we’re looking into today - HPE’s Intelligent Data Platform. Joining us today to find out more is Rangan Sukumar, a distinguished technologist in the chief technology office at HPE, responsible for HPC and AI. This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA About this week's guest: https://www.linkedin.com/in/rangan/ Sources and statistics cited in this episode: Gartner research into the database segment: https://www.gartner.com/en/documents/5485495KPMG research into data platforms: https://assets.kpmg.com/content/dam/kpmg/nz/pdf/2023/09/data-platforms-in-2024.pdfDepartment of Transportation policy on smart highways: https://www.its.dot.gov/research_areas/emerging_tech/pdf/Accelerate_V2X_Deployment.pdfTechnology Untangled podcast episode on autonomous vehicles: https://www.technologyuntangled.fm/episodes/autonomous-vehicles-are-we-steering-in-the-right-direction

    21 min
  4. 29 AUG

    Re-imagining how we train LLMs using physics-based AI

    Machine-learning based Generative AI is inherently inefficient. Training models by sifting findings again and again until a suitable output is generated is a time-consuming – end energy-consuming – process. So, could there be a better way to look at training our AI systems? Well, one possible option is physics-based AI, where training is viewed as an energy grid, and the best possible route though that grid mapped to find outputs. It’s a novel way of thinking, but it could change our whole approach to AI.Joining us again today to find out more is Ray Beausoleil, a physicist, senior fellow and senior vice president at HPE. He leads the large scale integrated photonics lab at Hewlett Packard Labs. This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA About this week's guest: Ray Beausoleil: https://www.linkedin.com/in/ray-beausoleil-22b148a/ Sources and statistics cited in this episode:WEF paper on data centre energy usage: https://www.weforum.org/agenda/2024/07/generative-ai-energy-emissions/ IEA sats on energy usage in IT: https://www.iea.org/energy-system/buildings/data-centres-and-data-transmission-networks#overviewNovel insulins grand challenge: https://type1diabetesgrandchallenge.org.uk/funding/closed-funding/novel-insulins-innovation-incubator/

    18 min
  5. 22 AUG

    Re-engineering the computer to solve impossible math problems with AI accelerators

    There are math problems that are hard. So hard that even current computers cannot solve them. To get around these problems, we need to re-think the very foundation of how we architect our IT, by using a technological field called 'novel accelerators'. It sounds complicated, but today's guest is particularly skilled at explaining incredibly complicated concepts. He says: "Right now, Generative AI and accelerators are at the forefront of being able to help with these major advances, and the world could change in really significant ways. Medicine, materials, energy, information technology... to harness these systems to help us - not to replace us." Joining us today is Ray Beausoleil, a physicist, senior fellow and senior vice president at HPE. He leads the large scale integrated photonics lab at Hewlett Packard Labs. This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA About this week's guest: Ray Beausoleil: https://www.linkedin.com/in/ray-beausoleil-22b148a/ Sources and statistics cited in this episode: Bloomberg report into AI growth: https://www.bloomberg.com/company/press/generative-ai-to-become-a-1-3-trillion-market-by-2032-research-finds/ Fusion and mayonnaise: https://engineering.lehigh.edu/news/article/lehigh-university-researchers-dig-deeper-stability-challenges-nuclear-fusion-mayonnaise

    21 min
  6. 15 AUG

    Formula E: Bridging the gap between the digital and real worlds

    In this episode, we’ll be taking you on a trip to London for the final race weekend of the 10th season of the Formula E championship, which was held on the weekend of the 20th and 21st July. We’ve been looking at the tech behind the event, how Formula E is transforming the world of racing, and what our organisations can learn from the cutting edge of motorsport. One of those areas is in training and familiarity. Knowing the circuit and how the car will behave at any given moment is obviously a huge advantage. But how do you work that out when you’ve only got the race weekend? Well, one way is to use track and car simulations - essentially, incredibly accurate digital twins of a racetrack with a full suite of driving controls and simulated movement, where drivers can test their setups in a variety of conditions, to prepare for race day. Here to talk more about that are this week’s guests, from Maserati MSG racing: Cyril Blais, deputy team principal, and driver Maximillian Günther. This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA About this week's guests: Cyril Blais : https://www.linkedin.com/in/cyril-blais/Maximillian Günther: https://en.wikipedia.org/wiki/Maximilian_G%C3%BCnther Sources and statistics cited in this episode: Formula E: https://www.fiaformulae.com/en2024 Hankook London ePrix: https://www.fiaformulae.com/en/calendar/2023-24/r16-londonJapan abandons floppy disks (English coverage): https://www.bbc.co.uk/news/articles/cx82407j1v3o

    19 min
  7. 1 AUG

    Reducing barriers to entry to foundation model training

    In the past couple of years, the world has seen the unprecedented growth and development of machine learning and AI applications, along with a huge spike in demand for new systems. This rising demand for AI services has, according to today’s guest, stifled competition to supply AI to those with a lot of resources, and caused uneven access for the rest of us. In this episode we are looking at reducing those barriers to entry, and helping more people get access to foundation model training, at less cost financially - and to the planet – with Fellow and VP at HPE, Paolo Faraboschi. This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA About this week's guest: https://www.linkedin.com/in/faraboschi/ Sources and statistics cited in this episode:Research and Markets research into demand for AI infrastructure: https://www.researchandmarkets.com/reports/5925430/ai-semiconductors-server-gpu-market-global?utm_source=GNE&utm_medium=PressRelease&utm_code=8k36pg&utm_campaign=1927769+-+AI+and+Semiconductors+-+A+Server+GPU+Market+Analysis+and+Forecast%2c+2023-2028%3a+Global+AI+and+Server+GPU+Demand+Bolsters+High-Density+Computing+Solutions%2c+Skyrocketing+Market+Valuations&utm_exec=carimspiGii research piece on LLM demand and supply: https://www.giiresearch.com/report/qyr1421025-global-large-language-model-llm-market-research.htmlThought-to-speech research: https://english.tau.ac.il/research/thought-based-communication

    19 min

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HPE news. Tech insights. World-class innovations. We take you straight to the source — interviewing tech's foremost thought leaders and change-makers that are propelling businesses and industries forward.

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