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Human Resources Technology

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Content provided by S&P Global Market Intelligence and P Global Market Intelligence. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by S&P Global Market Intelligence and P Global Market Intelligence or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

If your view of the technology that drives the human resources end of business is mostly hiring, firing and time off management, your head would have been spinning at the HR Tech conference that just wrapped up. Analyst Conner Forrest was there and joined host Eric Hanselman to look at not only the highlights of the conference, but also his recent research and market explorations. It’s an area that has seen dramatic transformation, as organizations work to manage their internal capabilities with one of their most valuable assets, their employees. Analytics now play a much greater role in many aspects of management. People analytics can address performance management to gauge and guide team effectiveness. It’s grown into employee experience analysis, as organizations look to manage and retain key talents and skills. Using intelligent skills gap analysis can strengthen training programs, particularly when it becomes part of employee growth planning. When it’s done right, investing in employee experience can also improve customer experience.

HR tech is another market where there is a tension between integrated analytical functionality and standalone products. The recent HR tech Market Monitor looks at shifts in growth, startup opportunities and market dynamics. Larger players want to maintain a platform advantage and newcomers are trying to carve out their own niche. There are a host of possibilities to improve performance, culture and employee focus.

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Credits:

  • Host/Author: Eric Hanselman
  • Guests: Conner Forrest
  • Producer/Editor: Donovan Menard
  • Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith
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102 episodes

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Human Resources Technology

Next in Tech

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Manage episode 445442951 series 2877784
Content provided by S&P Global Market Intelligence and P Global Market Intelligence. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by S&P Global Market Intelligence and P Global Market Intelligence or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

If your view of the technology that drives the human resources end of business is mostly hiring, firing and time off management, your head would have been spinning at the HR Tech conference that just wrapped up. Analyst Conner Forrest was there and joined host Eric Hanselman to look at not only the highlights of the conference, but also his recent research and market explorations. It’s an area that has seen dramatic transformation, as organizations work to manage their internal capabilities with one of their most valuable assets, their employees. Analytics now play a much greater role in many aspects of management. People analytics can address performance management to gauge and guide team effectiveness. It’s grown into employee experience analysis, as organizations look to manage and retain key talents and skills. Using intelligent skills gap analysis can strengthen training programs, particularly when it becomes part of employee growth planning. When it’s done right, investing in employee experience can also improve customer experience.

HR tech is another market where there is a tension between integrated analytical functionality and standalone products. The recent HR tech Market Monitor looks at shifts in growth, startup opportunities and market dynamics. Larger players want to maintain a platform advantage and newcomers are trying to carve out their own niche. There are a host of possibilities to improve performance, culture and employee focus.

More S&P Global Content:

Credits:

  • Host/Author: Eric Hanselman
  • Guests: Conner Forrest
  • Producer/Editor: Donovan Menard
  • Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith
  continue reading

102 episodes

All episodes

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With all of the drama associated with AI, it’s easy to miss the need to understand the foundations that deliver the data that is the raw element from which AI value is built. Databases and storage infrastructure are critical components that have to work in concert with AI plans and returning guests Henry Baltazar and James Curtis join host Eric Hanselman to discuss what’s been happening and what enterprises need to know about the future. Databases and storage management systems have been intertwined for a long time and AI pressures are tightening that connection. Storage systems perform analytics on the data they store to optimize its handling, tracking use and characteristics. The same insights that aid in compression and tiering are also useful in classifying data for AI. Data classification has always been a challenge for enterprises, as storage systems are typically disconnected from the data owners and applications that use them. Intelligent storage systems have been able to intuit the nature of content, including mapping databases and virtual machines. Databases have been able to leverage storage capabilities like snapshotting for resilience. Into this mix a new set of AI focused storage and database offerings arrive that target AI uses. The question is whether the native database and storage systems can do enough of what’s needed. They already store key data and have valuable insights and classification capabilities. Some vendors are attaching GPU clusters to storage systems to provide high performance AI model training functionality. The major issue for most, is the matter of data placement. Shifting petabytes of data is no small task and concerns about data security and the costs involved now loom much larger. More S&P Global Content: Next in Tech | Ep. 213: AI and Privacy Next in Tech | Ep. 203: NRF conference shows AI challenges and rewards For S&P Global Subscribers: Rapid data growth and migrations increase storage burdens Amazon S3 Tables and automated metadata highlight recent AWS Storage enhancements 2025 Trends in Cloud and Cloud Native Credits: Host/Author: Eric Hanselman Guests: Henry Baltazar , James Curtis Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…
 
The annual NAB Show delivered a more fully digital ecosystem when it convened in Las Vegas this year. While traditional broadcast technologies are still the focus, hyperscale cloud providers, digital media platforms and no shortage of AI were all on display. Returning guests Justin Neilson and Peter Leitzinger join host Eric Hanselman to discuss what they saw at broadcasting’s big event and the impacts of various technologies on the media landscape. The digital television evolution is continuing apace. The ATSC 3.0 NextGen TV standard has been rolling out across the globe, albeit a bit more slowly in the U.S.. The higher resolution, more interactive capability is available to over three quarters of the market. Multi-screening functionality is interesting, but digital advertisers are looking to the direct access to consumers as a better path to monetizing viewers and delivering a direct path to content creators. The smart TV market is also hopeful, driving the uptake of new chipsets and televisions. The show also revealed the greater participation of the hyperscale cloud providers in broadcast media. Greater volumes of digital content are depending on cloud scale in ever greater measure. The creeping incrementalism of AI in media production still has to overcome some fundamental objections from studios and some content creators, but it is working its way into many parts of the industry. It seems like its convenience and velocity may be too much to resist. More S&P Global Content: Radio/TV station annual outlook, 2024 MediaTalk | Season 3 | Ep. 16 - Broadcasters Band Together Over Tech Advancements, Deregulation For S&P Global subscribers: US TV set projections through 2028: Solid rebound on track to continued growth Digital multicast TV database 2024 update: NextGen TV expands reach to 75% of US Credits: Host/Author: Eric Hanselman Guests: Justin Nielson , Peter Leitzinger Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…
 
The game of Rugby is having a moment on the global stage. It’s attracting investment and growing its fan base and audiences. The Six Nations competition has just finished, with France triumphing over Scotland and the Women’s World Cup is on the horizon. With dedicated fans and upmarket advertisers, the media rights are garnering significant interest. An old saying contrasted soccer (football to most of the world) with rugby by saying that football was a gentleman’s game played by hooligans, while rugby was a hooligan’s game played by gentlemen. And today, both the women’s and men’s games are gaining prominence. Unlike soccer (football), the world governing body for rugby spans both leagues and has strong female representation on its board. With high value advertisers driving revenue and both country competitions and national leagues creating a rich game schedule, media valuations are continuing to grow. From its origins as an amateur league, it’s become much more. There’s a nascent shift from free-to-air broadcast to paid media and streaming. It’s quite a scrum! More S&P Global Content: Authenticity, women's sports and African potential dominate SportsPro Live For S&P Global Subscribers: Sports calendar 2025 — High-profile women's events and sustainability concerns DAZN boasts its global expansion plans with acquisition of Foxtel Credits: Host/Author: Eric Hanselman Guests: Richard Berndes Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…
 
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The annual RSA Conference on information security is coming up and it arrives during a very active security market. Analysts Garrett Bekker, Dan Kennedy and research director Scott Crawford return to the podcast to discuss what they expect to see in San Franscisco with host Eric Hanselman. The largest transaction ever in the information security world, Google’s acquisition of cloud security unicorn Wiz, has been echoing across capital and technology markets. It’s reinforced the importance of cloud security and its nature as a distinct technology segment. Enterprises have become fully hybrid in their infrastructure mix and they’re struggling to mitigate cloud risks. Part of the struggle is leading to tool consolidation and platform approaches to security management. It’s a situation that’s led by the fact that the average enterprise already reports spending a third of their security budgets on a single security operations vendor. Of course, AI will be front and center and this year agentic AI is being examined as a way to scale up security capabilities. AI capabilities have been part of security tools for many years and the challenge has always been building trust in automated actions. It will be some time before autonomous actions are turned on. There’s a long history of keeping human review in place as trust is built. It’s not that different from previous technology automation transitions, but with security, there’s a greater imperative. More S&P Global Content: AI for security: Agentic AI will be a focus for security operations in 2025 The evolution of security platforms – 6 centers of gravity shaping the market Security Summer Camp 2024 and the elephant in the room Credits: Host/Author: Eric Hanselman Guests: Garrett Bekker , Scott Crawford , Daniel Kennedy Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…
 
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Cloud native patterns and open source developments were on display at the KubeCon + CloudNativeCon Europe conference. The biannual gathering was showing how the container ecosystem continues to mature and analysts Jean Atelsek and William Fellows join host Eric Hanselman to explore their insights. The Cloud Native Computing Foundation (CNCF), part of the Linux Foundation, continues to expand the event and advance the maturity of the open source projects that are part of its purview. Day 2 operations have been gaining focus and the pre-conference FinOps X event was an indication of the emphasis on operational controls as it digs into infrastructure cost management. The opening “Day 0” events at KubeCon, which have been the forum for specialized project meetings, have become a key part of the conference, with over 6,000 attendees, almost half of the reported 13,000 total. The Kubernetes container management project is now over ten years old and one of the other signs of technology evolution was the integration of the OpenInfra Foundation, which managed the OpenStack project and other infrastructure elements, into the Linux Foundation. Open source projects are gaining wider adoption and one of the messages from projects and vendors at KubeCon, was the hope that it could offer alternatives to enterprise infrastructure stalwart, VMware. The CNCF is expanding its investments in improving security across the projects under its umbrella. There was also continued development of platform engineering initiatives. Bounding the expanding world of open source projects to create consistent development and operational tool chains for enterprise is one more sign of maturity in the container world. More S&P Global Content: AWS, Microsoft Azure and Google Cloud enter the FinOps vortex For S&P Global subscribers: Kubernetes meets the AI moment in Europe with technology, security, investment Data management, GenAI, hybrid cloud are top Kubernetes workloads – Highlights from VotE: DevOps Kubernetes ecosystem tackles new technical and market challenges Kubernetes, serverless adoption evolve with cloud-native maturity – Highlights from VotE: DevOps Credits: Host/Author: Eric Hanselman Guests: Jean Atelsek , William Fellows Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…
 
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The many impacts of AI extend across business and consumer interests and issues around privacy are some of the broadest. Analyst Paige Bartley returns to the podcast to discuss the results of two recent studies on enterprise and consumer perspectives on AI and privacy with host Eric Hanselman. Enterprise privacy concerns are shifting from regulatory to operational and reputational, as the awareness of the importance of data privacy grows. The landmark UK GDPR legislation was announced in 2016 and most early efforts focused on compliance. That’s shifted to building privacy functionality into the foundations of the way businesses operate. PrivacyOps approaches are growing rapidly as organizations come to realize that customer trust has to both be established and maintained in ways that are meaningful to customers. The opportunity for businesses is to move from treating privacy as overhead to making part of supporting business interests. It comes full circle by helping to enable better data use for AI. More S&P Global Content: The 2025 Generative AI Outlook For S&P Global Subscribers: Safeguarding privacy in the AI era – Highlights from VotE: Data & Analytics Consumers' preference for personalization still outweighs desire for data privacy – Highlights from VoCUL: Connected Customer Data Insight: Consumer data privacy in the modern world of generative AI — no going back? Credits: Host/Author: Eric Hanselman Guest: Paige Bartley Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…
 
It’s come a long way from its game developer roots and the NVIDIA GPU Technology Conference (GTC) 2025 edition was so well attended, it was straining the capacity of the San Jose Convention Center, its long-term home. John Abbott returns to discuss what debuted and the implications with host Eric Hanselman. NVIDIA has taken a starring role in AI and this year’s GTC had all of the glitz of a Hollywood production – CEO’s of major tech partners delivered a video tribute and Disney-designed robots cavorted on stage with CEO Jensen Huang. The event reinforced the extent to which NVIDIA has become a systems and software company, rather than simply a supplier of high performance silicon. The event highlighted not only new GPU’s and rack-scale compute systems, but also countered the concerns around declines in GPU demand raised by the release of the DeepSeek AI models. The shift to reasoning models for AI is expected to drive further demand. The impacts on energy consumption and associated pressure on energy transition plans weren’t mentioned, but are a large part of the larger discussion around AI. More S&P Global Content: SoftBank, OpenAI, Oracle and MGX commit to $100B for Stargate AI infrastructure Semiconductor Digest: A roundup of the latest developments Next in Tech | Ep. 206: NVIDIA quarterly earnings For S&P subscribers: NVIDIA pushes broader AI infrastructure story with Blackwell Ultra, full stack software NVIDIA takes commanding revenue lead in semiconductor space Tech is priced to move Generative AI Digest 25: A roundup of latest breakthroughs and developments Credits: Host/Author: Eric Hanselman Guest: John Abbott Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…
 
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The M&A markets are in a tough situation. Transactions are harder to get done and exits just not happening. To sort out where this is all going, Scott Denne and Brenon Daly return to the podcast with host Eric Hanselman. Investors across technology have portfolios that are getting long in the tooth. They need exits to return value to their funds, but there are limited options. The IPO market is tentative, at best. At the same time, strategic investors are stepping back as they spend on AI. Capital expenditures continue to grow, with hyperscalers shelling out billions to expand their own infrastructure, as well as investing in AI startups. Google’s acquisition of Wiz is a massive transaction, but it is dwarfed by the ongoing internal investments. How far does this go and what will be the return on these investments? More S&P Global Content: Tech M&A Outlook Survey: A historic bust-to-boom reversal in 2024? For S&P Global Subscribers: Shifting AI exits The public-private divide If not Wiz, who? Tech leads the way up and down on Wall Street Credits: Host/Author: Eric Hanselman Guests: Brenon Daly , Scott Denne Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…
 
The arrival of Low Earth Orbit (LEO) satellite capabilities is changing broadband market dynamics as it increases capacity and improves performance. Mau Rodriguez joins host Eric Hanselman to discuss where displacement is taking place and the potential for new market entrants. The Geosynchronous satellite services that had been the backbone of remote connectivity have capacity, but come along with relatively high latency in data delivery. They’re orbiting at tens of thousands of miles, which is very long signal path, when compared to LEO satellites at around 500 miles. The broadband market is dominated by terrestrial technologies, with cable leading the installed base and fiber growing rapidly. The subscriber cost for satellite is far higher, but the deployment cost can be much lower than that required for remote locations. While Starlink dominates this market, AWS aims to compete with its Project Kuiper plans. It just needs to get a lot of satellites launched, first. More S&P Global Content: The State of US Fiber Broadband China launches another satellite megaconstellation Survey Data Hub - VoCUL: Mobile, TV & Streaming Video Trends Q1 2025 Credits: Host/Author: Eric Hanselman Guest: Mau Rodriguez Producer/Editor: Amaan Zafar, Donovan Menard and Odesha Chan Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…
 
The demand for power driven by datacenter expansion is a global challenge and European markets are responding with some interesting aspects. With there has been a strong renewable component to energy supply, the complexity of the energy grid has meant that unified approaches were elusive. At the same time energy markets have faced three crises – demand reduction from the COVID pandemic, strong renewable investment and market disruption from the Russian-Ukraine war. Into this congested environment, Power Purchase Agreements (PPA) offer a way to channel investment in new generation capacity. The EU has just announced guarantees for non-investment grade PPA’s, creating the possibility for expanded markets and extending the ability to treat them as an addition to commodity markets for energy. Energy generation projects have become increasingly hybrid, bringing together multiple renewable sources with energy storage. Smoothing out renewable peaks can help it better address base load demand. Nuclear remains an expensive option, with approaches like Small Modular Reactors (SMR) still being a long ways off. There is the potential to have AI improve grid efficiency, by balancing demand and generation, an almost circular relationship, given that it is driving so much of demand. That will require more decentralization of the grid to increase flexibility and the acceptance of cryptographic protections for data sovereignty could allow workload placement near sources of power generation. There is a lot of potential for what has become an urgent issue. More S&P Global Content: What is an 'AI datacenter'? Platts London Energy Forum 2025 AI, datacenters and power: The European landscape heading into 2025 The role of nuclear in AI's future Datacenters and energy 101 — Powering through renewable intermittency 2025 US datacenters and nuclear energy report Credits: Host/Author: Eric Hanselman Guests: Ayça Taşlı , Pedro Schweizer Producer/Editor: Amaan Zafar, Donovan Menard and Odesha Chan Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…
 
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So much of the world around us is sensing and controlling with data, but it’s not often coordinated. Smart spaces technologies put that data to work and integrate capabilities and Zoë Roth returns to the podcast to dig into the potential of these systems with host Eric Hanselman. Smart spaces have grown out of the sensing roots in technologies like the Internet of Things (IoT) and shares a key element – the need to link operational technology (OT) with information technology (IT). Things like building environmental systems have historically been separated from the technology stack supporting the people that work in the building. Integration of these systems has the potential for a wide range of benefits, including improving working conditions, enhancing physical and logical security and reducing energy use. Stadiums and public venues are putting smart spaces technology to work to improve fan experience and improve safety. Extending to the macro scale, when smart spaces integrate at a city level, there’s greater efficiency and effectiveness across transportation systems, electric grids and governmental systems. Making this all work requires extending across information and functional silos. It’s a similar set of challenges that exist in digitization efforts in areas like retail, manufacturing and energy. As capabilities like digital twins and expanded support in edge computing mature, they hold promise to make smart spaces even more capable. More S&P Global Content: Smart Cities Connect 2024 Examining AI readiness and conducting a reality check What EU funding means for the next generation of European smart cities Unlocking value in smart spaces with location data Data Insight: Redefining retail — generative AI and automation Credits: Host/Author: Eric Hanselman Guests: Zoë Roth Producer/Editor: Amaan Zafar, Donovan Menard and Odesha Chan Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…
 
Mobile World Congress, the annual gathering of telecom industry players, has expanded to embrace a broad range of technology and this year’s event will bring together a broad range of vendors, telecom operators and industry leaders. The theme of convergence has seen real world impacts and Raul Castañon, Mohammed Hamza and Lynnette Luna return to discuss what they’re expecting to see with host Eric Hanselman. The rise of network API’s for security and location services looks to open the door to greater application integration. It’s something operators have been hoping for, but there are questions about how they’ll monetize it. Many of the technologies that previewed in previous years are gaining traction. Open RAN technologies have matured and the ecosystem supporting them has expanded. There are still questions lingering about deployment timelines, but that seems to be shifting to a matter of when, rather than if. And, of course, AI is playing a role in much of what’s taking place in the exhibition halls. More S&P Global Content: MediaTalk | Season 2: EP 20 - Wireless Outlook for 2024 as Carriers Next in Tech | Ep. 181: Lighting up Fiber Ericsson partners with global telecom operators to launch new network API venture Ericsson-led API joint venture gets its first CEO Credits: Host/Author: Eric Hanselman Guests: Raul Castañon-Martinez , Mohammed Hamza , Lynnette Luna Producer/Editor: Amaan Zafar and Odesha Chan Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…
 
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Of the many companies that are part of the AI wave, NVIDIA has been at the core of AI infrastructure and a darling of the markets. Their performance in the market is driven in part by consistency in their performance and Melissa Otto, head of TMT Research for Visible Alpha, part of S&P Global Market Intelligence, joins host Eric Hanselman to look at the sentiment around the upcoming earnings. The enthusiasm for AI has driven expectations higher and higher and the company has delivered. The rampant enthusiasm for AI’s future hasn’t been without some cautious moments. In January, the announcement of the DeepSeek model roiled markets with the prospect of lower compute consumption for model training. The concern was that demand for all things AI, GPU’s included, might wane. It might also have been a reason for a jumpy market to take a step back. If you dust off your economics textbooks, Jevon’s Paradox has been cited by many as an indication that consumption could accelerate. Time will tell! More S&P Global Content: Assessing the Factors Driving Technology Investments Big Picture for Generative AI in 2025: From Hype to Value Webinar: The Big Picture on GenAI and Market Impacts NVIDIA takes commanding revenue lead in semiconductor space Intelligent and agentic process automation and integration platforms: 2025 research agenda GPU as a Service Market Monitor & Forecast 2025 Trends in Data, AI & Analytics Credits: Host/Author: Eric Hanselman Guests: Melissa Otto Producer/Editor: Amaan Zafar and Odesha Chan Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…
 
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The next phase of the AI wave is the arrival of agentic AI – where agents can take action on a user’s behalf. That’s enough of a big deal, but when the head of a tech giant says agentic is going to replace most SaaS applications, something different might be afoot. Analysts Sheryl Kingstone and Chris Marsh return to the podcast to look at the realities of this suggestion with host Eric Hanselman. Agents could become the new user interface for enterprise data, but there are a set of challenges in making this work. On the one hand, one of the largest issues with autonomous action, accountability for actions taken, is far from settled in both regulatory and legal frameworks. On the other, much of enterprise information is still held in systems where it may be difficult for an agent to reach. Agentic AI could provide a gateway to the myriad of systems that run the modern business. Opening access to data and the ability to aggregate across an organization could be tremendously powerful. Capturing the business logic that is often embedded in SaaS systems is difficult, but the shift to decoupling through API’s and the expansion of systems of delivery could open the door to agentic progress. More S&P Global Content: Big Picture for Generative AI in 2025: From Hype to Value Webinar: The Big Picture on GenAI and Market Impacts For S&P Subscribers: 2025 Trends in Data, AI & Analytics Credits: Host/Author: Eric Hanselman Guests: Chris Marsh , Sheryl Kingstone Producer/Editor: Kyle Cangialosi and Odesha Chan Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…
 
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Ethical concerns about the use of AI have to start with training data. Too often, the primary concern is simply generating sufficient data, rather than understanding its nature. Emily Jasper and Abby Simmons are back to continue the conversation started in episode 198 with host Eric Hanselman. With generative AI, the data is the application in its most formative sense. Unlike traditional application development, where the expectation is that functionality will be expanded in later releases, GenAI applications require careful design of training data before training takes place. The perspectives contained in data age rapidly and model training doesn’t differentiate between outdated and current indications. Old data can effectively poison model outputs. Businesses risk alienating customers with models that are trained with data that don’t properly represent them. This is particularly true with marginalized communities, where language and context can change over shorter time frames. While there is research work on model retraining, work in AI today has to focus on effective data quality management. DeepSeek is causing a significant rethinking. Human data cleansing can be effective, but can’t scale to AI demands. Data workbench tools and synthetic data approaches can help, but better automation is needed to ensure that data sets are truly representative. Data collection and data sourcing need much greater attention to ensure that model results can engage the target audience and not be a liability. It’s a fundamental question of accountability that requires thinking in ways that are different than legacy development processes. Mentioned in this episode: https://transtechtent.com https://kevinguyan.com/queer-data/ More S&P Global Content: Webinar: AI in Action: Leveraging NLP to Answer Subjective Questions 2025 Trends in Data, AI & Analytics Take 5: Data quality and AI — a bidirectional relationship Compliance automation, Part 1: Governance, risk and compliance, or something new? Credits: Host/Author: Eric Hanselman Guests: Emily Jasper , Abby Simmons Producer/Editor: Kyle Cangialosi and Odesha Chan Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…
 
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