Podcasts about find stephen

Stephen currently is a project manager with Black and MacDonald but got his start in sheet metal fabrication, he has his Red Seal and is also working on achieving 3 more Red Seals, Plumbing, HVAC and Electrical. He's not trying to be greedy; he wants to educate others and build this amazing industry even further. For the past 8 years he has been teaching sheet metal at a high school in Toronto in his spare time, educating the new generation of tradespeople, preparing them for real life construction.We discuss so much on the show, from education, approved programs, the sheet metal trade, other trades and it all begins with the math, loads and loads of math and science. It's the difference between a good trade and a great trade, understanding the how and why we build. Stephen shares so much on this show from metal techniques, artistic metal skills competitions where he has made a violin, hat, beer stein and more all out of metal.Easiest way to remember your metals and how metals react to each, Stephen shares the Galvanic Chart of Metals - All Zebras SIN To Look Cool, which breaks down to Aluminum, Zinc, Steel, Iron, Nickel, Tin, Lead Copper. If you put aluminum and copper together, the copper oxide will eat the aluminum.What an amazing show and thank you so much Stephen for sharing so much must needed metal and construction information, educating us and our listeners on loving what you do for a living, proud, ambitious, hungry and real, Thank you. Find Stephen on IG @sheetmetalsteve and contact on his email at spayton@blackandmacdonald.com for your next project.Find Manny @hardcorerenos info@hardcorerenos.com info@theconstructionlife.comDon't forget TCL M.A.P. Skills Competition Contest is still going on, submit your project that you did this year, send pics or video and a write up on your skills and passion to info@theconstructionlife.com for a chance to win $1,500.00 in cold hard Canadian Cash and the contest is open to every tradesperson from around the world since The Construction Life is listened to in 44 different countries and find it on one of the 11 podcast platforms online.The Contest winner will be revealed September 6th 2021, Labour Day.Reach out to Joe and Trevor at the following info. www.venturesxcanada.ca find them on Social Media @venturesxoakville reach them at 289 644-2393 and email oakville@venturesxcanada.com

Most people think AI in vehicles means autonomous driving, but there are a lot of other applications for the technology. Ever since Mercedes-Benz introduced Linguatronic voice response in the 1990s, vehicles have included verbal control and feedback mechanisms. In this episode, Christophe Couvreur discusses the lessons of bringing AI to vehicles based on his experience at Nuance spin-off, Cerence. As these systems have improved, they have reached the so-called uncanny valley, where people become frustrated by their limitations despite tremendous advancement over the last decade or so. Looking beyond voice response, we can see many driver assistance technologies added to vehicles in the future, and many of these will be ML powered as well. Three Questions: When will we see a full self-driving car that can drive anywhere, any time? How long will it take for a conversational AI to pass the Turing test and fool an average person? How small can ML get? Will we have ML-powered household appliances? Toys? Disposable devices? Guests and Hosts Christophe Couvreur, VP of Product at Cerence Inc. Connect with Christophe on LinkedIn here and the company page Cerence.com. Frederic Van Haren, Founder at HighFens Inc., Consultancy & Services. Connect with Frederic on Highfens.com or on Twitter at @FredericVHaren. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett. Date: 8/3/2021 Tags: @CerenceInc, @SFoskett, @FredericVHaren

Businesses have long tried to use data to drive decisions, but over the last few years new big data and AI capabilities have appeared. In this episode, Josh Epstein of AtScale discusses the opportunities that enterprise AI brings to drive business decisions. Although executives might not know the details of AI models, they can certainly benefit from the forecasts and recommendations these tools deliver. One benefit of these systems is that they can bring in more diverse data to uncover real value from areas typically outside the sight of executives. Three Questions Are there any jobs that will be completely eliminated by AI in the next five years? Will we ever see a Hollywood-style “artificial mind” like Mr. Data or other characters? Can you think of an application for ML that has not yet been rolled out but will make a major impact in the future? Guests and Hosts Josh Epstein, Chief Marketing Officer at AtScale. Connect with Josh on LinkedIn. Frederic Van Haren, Founder at HighFens Inc., Consultancy & Services. Connect with Frederic on Highfens.com or on Twitter at @FredericVHaren. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett. Date: 7/27/2021 Tags: @AtScale, @SFoskett, @FrdericVHaren

Although we usually focus on the ways AI can displace workers, this technology can also create new jobs and help them. In this episode, Saiph Savage joins Chris Grundemann and Stephen Foskett to discuss the many ways AI can help displaced workers. One new type of job created by AI is in the area of model training, and this can help develop digital skills and improve the lives of workers. Digital labor platforms tend to be opaque, however, and we must audit them to understand the wages paid, exposure to negative content, and invisible labor workers do to continue to use these tools. Yet despite these shortcomings, many workers report positive experiences, in terms of life/work balance, opportunity, and flexibility. Researchers like Savage are monitoring these opportunities and developing tools to help workers and policymakers fairly judge the costs and benefits of participating. Ultimately, these jobs can become a stepping stone to digital careers and further opportunities. References Saiph Savage's Super Turker paper Flexible Work and Personal Digital Infrastructures Turker Tales: Integrating Tangential Play into Crowd Work “Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass” by Mary L. Gray and Siddharth Suri (book) Three Questions How long will it take for a conversational AI to pass the Turing test and fool an average person? Are there any jobs that will be completely eliminated by AI in the next five years? Can you think of any fields that have not yet been touched by AI? Guests and Hosts Saiph Savage, Assistant Professor at Northeastern University. Connect with Saiph on LinkedIn or on Twitter at @Saiphcita. Chris Grundemann, Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett. Date: 7/20/2021 Tags: @Saiphcita, @SFoskett, @ChrisGrundemann

Today's storage devices (disks and SSDs) have processors and memory already, and this is the concept of computational storage. If drives can process data locally, they can relieve the burden of communication and processing and help reduce the amount of data that gets to the CPU or GPU. In this episode, Vladimir Alves and Scott Shadley join Chris Grundemann and Stephen Foskett to discuss the AI implications of computational storage. Modern SSDs already process data, including encryption and compression, and they are increasingly taking on applications like machine learning. Just as industrial IoT and edge computing is taking on ML processing, so too are storage devices. Current applications for ML on computational storage include local processing of images and video for recognition and language processing, but these devices might even be able to execute ML training locally as in the case of federated learning. Three Questions Are there any jobs that will be completely eliminated by AI in the next five years? Can you think of any fields that have not yet been touched by AI? How small can ML get? Will we have ML-powered household appliances? Toys? Disposable devices? Guests and Hosts Vladimir Alves, CTO and Co-Founder at NGD Systems. Connect with Vladimir on LinkedIn. Scott Shadley, VP of Marketing at NGD System. Connect with Scott on LinkedIn or on Twitter @SMShadley. Chris Grundemann, Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett. Date: 7/13/2021 Tags: @SFoskett, @ChrisGrundemann, @SMShadley, @NGDSystems

The MLOps community has grown dramatically recently, with security, a data-centric approach, ethical implications, and a growing and diverse community rising in 2021. In this episode, MLOps Community managers Demetrios Brinkmann and David Aponte join Steph Locke and Stephen Foskett to discuss what has changed over the last year. It seems that a new ML company is launching every week, and the MLOps Community provides a great way to learn about these. We are also seeing a push and pull between open source and cloud platforms, and concern about lock-in and technical debt. Data science and machine learning are merging, with greater focus on data quality and quantity when training models. Three Questions Is MLOps a lasting trend or just a step on the way for ML and DevOps becoming normal? Can you think of an application for ML that has not yet been rolled out but will make a major impact in the future? How big can ML models get? Will today's hundred-billion parameter model look small tomorrow or have we reached the limit? Companies Mentioned Microsoft, Tecton, Scale AI Sara Williams Talk D. Sculley interview Guests and Hosts Demetrios Brinkmann, Community Coordinator at MLOps Community. Connect with Demetrios on LinkedIn, on Twitter at @DPBrinkm or at mlops.community. David Aponte, Community Coordinator at MLOps Community. Connect with David on LinkedIn. Steph Locke, Data Scientist and CEO of Nightingale HQ. Connect with Steph on LinkedIn or on Twitter @TheStephLocke. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett. Date: 7/6/2021 Tags: @SFoskett, @TheStephLocke, @DPBrinkm, @MLOpsCommunity

Look at a list of the top companies in the world, and most are focused in the United States, China, and Europe, and this causes an imbalance of investment in AI. With most companies building AI infrastructure and applications located in Silicon Valley and similar areas, how will the rest of the world catch up? Sofia Trejo joins Chris Grundemann and Stephen Foskett to discuss the implications of this imbalance, which causes an AI divide. Companies like Facebook, Google, and Amazon increasingly centralize global data through their internet access initiatives, and all are also deeply involved in developing cloud and AI applications. This poses issues for developing countries, which are increasingly dependent on these companies and susceptible to disinformation and misinformation campaigns. Most discussions of bias focus on a first-world context and do not take into account the challenges faced by developing countries, and the same is true of AI development. We must stop thinking that the solution is technological and focus instead on education and digital literacy before AI gets out of control. Three Questions Is it possible to create a truly unbiased AI? Can you think of any fields that have not yet been touched by AI? Can you think of an application for ML that has not yet been rolled out but will make a major impact in the future? Guests and Hosts Sofia Trejo, PhD in Mathematics, Specialist in AI Ethics. Connect with Sofia on LinkedIn. Chris Grundemann, Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett. Date: 6/29/2021 Tags: @SFoskett, @ChrisGrundemann

AI is everywhere these days, powering applications from the enterprise to industrial, medical, education, and mobility. In this episode, David Klee joins Chris Grundemann and Stephen Foskett to discuss the ubiquity of AI technology today. Although not all applications of machine learning have been compelling, we are starting to see novel uses that allow us to do things we could never do before. One exciting application is in root cause analysis across the entire application stack, which has never before been possible. Three Questions Will we ever see a Hollywood-style “artificial mind” like Mr. Data or other characters? When will we see a full self-driving car that can drive anywhere, any time? How small can ML get? Will we have ML-powered household appliances? Toys? Disposable devices? Guests and Hosts David Klee, Founder of SQLibrium & Heraflux Technologies. Connect with David at LinkedIn and on Twitter at @KleeGeek Chris Grundemann, Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett. Date: 6/22/2021 Tags: @SFoskett, @ChrisGrundemann, @KleeGeek, @SQLibrium, @HeraFlux

MLOps is similar to DevOps but focused on ML, and focuses on improving quality of delivery for artificial intelligence applications. In this episode, Stephen Foskett discusses MLOps with Steph Locke, CEO of Nightingale HQ. DevOps is very much a cultural shift for software development, while MLOps in practice tends to be more of a team sport, with software developers, data scientists, machine learning experts, and IT infrastructure and operations. Another benefit of MLOps is the improvement of efficiency that results from having all these diverse groups collaborate on application development and deployment. Three Questions How long will it take for a conversational AI to pass the Turing test and fool an average person? Are there any jobs that will be completely eliminated by AI in the next five years? How big can ML models get? Will today's hundred-billion parameter model look small tomorrow or have we reached the limit? Guests and Hosts Steph Locke, Data Scientist and CEO of Nightingale HQ. Connect with Steph on LinkedIn or on Twitter @TheStephLocke. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett. Date: 6/15/2021 Tags: @SFoskett, @TheStephLocke, @NightingaleHQAI

Developers of AI applications face many obstacles, but the chief challenge is simply that these are different from traditional software development projects. 85% of businesses say they are looking to adopt AI but a similar percentage of data science projects never reach production. Too many organizations approach AI application development similarly to other software projects. Another issue is focusing on the machine learning model rather than the data set that will be used. Devang Sachdev of Snorkel AI suggests being data-focused instead, and reducing and optimizing models instead of continually expanding the number of parameters. Another issue is the manual process of developing training data, which is time-consuming and error-prone. Finally, we must consider a process of iteration over models and training data to ensure quality. Machine learning is an excellent tool but it requires a re-think in how a company approaches software development. Three Questions Is it possible to create a truly unbiased AI? Can you think of an application for ML that has not yet been rolled out but will make a major impact in the future? How big can ML models get? Will today's hundred-billion parameter model look small tomorrow or have we reached the limit? Guests and Hosts Devang Sachdev, VP of Marketing at Snorkel AI. Connect with Devang on LinkedIn or on Twitter at @DevangSachdev. Chris Grundemann, Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett. Date: 6/08/2021 Tags: @SFoskett, @ChrisGrundemann, @SnorkelAI, @DevangSachdev

Microsoft plays a large role in enterprise IT applications, from the desktop to the datacenter to the Azure cloud, and the company is active in the world of AI as well. But most of Microsoft's work has gone unnoticed, with high-profile cloud AI and ML applications at companies like Google and Uber getting all the press. In this episode, Steph Locke joins Chris Grundemann and Stephen Foskett to discuss the place of AI inside the Microsoft ecosystem. Microsoft has built AI into search and Cortana and has also produced an AI Builder and ML workspace in Azure that allows developers to produce their own chatbots, recognize images, and more. Steph also discusses the AI-related announcements at Microsoft Build last week. We finish up with a deep discussion of accessibility and diversity and potential solutions from hiring to training to awareness. Three Questions Can you think of an application for ML that has not yet been rolled out but will make a major impact in the future? Is it possible to create a truly unbiased AI? Will we ever see a Hollywood-style “artificial mind” like Mr. Data or other characters? Guests and Hosts Steph Locke, Data Scientist and CEO of Nightingale HQ. Connect with Steph on LinkedIn or on Twitter @TheStephLocke. Chris Grundemann, Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett. Date: 6/1/2021 Tags: @SFoskett, @ChrisGrundemann, @TheStephLocke, @NightingaleHQAI

You might think that 5G and AI are completely unrelated, but these new technologies support each other. Both are expressions of information theory, and both use similar mathematics under the hood. Both 5G and AI are also disruptive to existing business models and enable new applications. EdgeQ develops processors that leverage machine learning to improve customer experience in 5G and enable customers to develop their own AI solutions on-chip. 5G is bringing the edge closer to the cloud and it enables seamless deployment of AI across the network. Three Questions When will we see a full self-driving car that can drive anywhere, any time? When will we have video-focused ML in the home that operates like the audio-based AI assistants like Siri or Alexa? How small can ML get? Will we have ML-powered household appliances? Toys? Disposable devices?Guest Information Guests and Hosts Vinay Ravuri, CEO / Founder at EdgeQ Inc. Connect with Vinay on LinkedIn or Twitter at @EdgeQ_Inc Frederic Van Haren, Founder at HighFens Inc., Consultancy & Services. Connect with Frederic on Highfens.com or on Twitter at @FredericVHaren Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett. Date: 5/2/2021 Tags: @SFoskett, @EdgeQ_Inc, @FredericVHaren

UK secondary school teacher, Stephen Uzzell, stumbled upon the name Haim Michael Klar, a Jewish man who impersonated a Nazi officer in order to help those trapped in the ghettos and concentration camps. Stephen has written the book I Am Juden as a historical novel based on the life of Klar and Jewish Resistance against the Nazis. https://www.amazon.co.uk/gp/product/B07MRL9TX3/ref=dbs_a_def_rwt_bibl_vppi_i0 Find Stephen on Twitter: @StephenUzzell2

Machine learning models have grown tremendously in recent years, with some having hundreds of billions of data points, and we wonder how big they can get. How do we deploy even bigger models, whether it’s in the cloud or using captive infrastructure? Models are getting bigger and bigger, then are distilled and annealed, and then grow bigger still. In this episode, Dennis Abts of Groq discusses the scalability of ML models with Stephen Foskett and Chris Grundemann. HPC architecture and concepts are coming to the enterprise, enabling us to work with unthinkable amounts of data. But we are also reducing precision and complexity of models to reduce their size. The result is that businesses will be able to work with ever-larger data sets in the future. Three Questions How long will it take for a conversational AI to pass the Turing test and fool an average person? Will we ever see a Hollywood-style “artificial mind” like Mr. Data or other characters? How small can ML get? Will we have ML-powered household appliances? Toys? Disposable devices? Guests and Hosts Dennis Abts, Chief Architect at Groq. Connect with Dennis on LinkedIn or on Twitter @DennisAbts Chris Grundemann, Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett. Date: 5/18/2021 Tags: @SFoskett, @ChrisGrundemann, @DennisAbts, @GroqInc

In this episode of .think atlantic, IRI’s Thibault Muzergues is joined by former Prime Minister of Canada, Stephen Harper, to discuss the future of conservatism in political and socioeconomic institutions. Stephen Harper served as the prime minister of Canada from 2006 to 2015 as the country’s first and only prime minister from the Conservative Party of Canada. His book, “Right Here, Right Now: Politics and Leadership in the Age of Disruption,” published in 2018, directs the episode’s discussion on political disruption and how conservatism can be used as a solution for uncertainty and risk-mitigation in business and government. Stephen shares his experience as the head of Canada’s government, including during the 2008 Global Financial Crisis, and his thoughts on populism and conservatism to analyze how western democracies are evolving in the face of political division and disruption. What needs to be changed in conservative politics? How should modern conservatism define trade and market policies? How should conservatism be evolved to help the broadening working and middle-class population? How does conservatism compare to populism and what is populist conservatism? How and where can we draw the line between positive, patriotism and ethnic nationalism? Thibault and his guest discuss these questions – and much more. Find Stephen on Twitter: @stephenharper Find Thibault on Twitter: @tmuzergues Visit IRI’s website at www.iri.org Further reading: Right Here, Right Now: Politics and Leadership in the Age of Disruption (https://www.penguinrandomhouse.com/books/565219/right-here-right-now-by-stephen-j-harper/)

AI processing is appearing everywhere, running on just about any kind of infrastructure, from the cloud to the edge to end-user devices. Although we might think AI processing requires massive centralized resources, this is not necessarily the case. Deep learning training might need centralized resources, but the topic goes way beyond this, and it is likely that most production applications will use CPUs to process data in-place. Simpler machine learning applications don’t need specialized accelerators and Intel has been building specialized hardware support into their processors for a decade. DL Boost on Xeon is competitive with discrete GPUs thanks to specialized instructions and optimized software libraries. Three Questions How long will it take for a conversational AI to pass the Turing test and fool an average person? Is it possible to create a truly unbiased AI? How small can ML get? Will we have ML-powered household appliances? Toys? Disposable devices? Guests and Hosts Eric Gardner, Director of AI Marketing at Intel. Connect with Eric on LinkedIn or on Twitter @DataEric. Chris Grundemann, Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett. Date: 5/11/2021 Tags: @SFoskett, @ChrisGrundemann, @DataEric, @IntelBusiness

Detailed chat with Stephen Thomas on the optimum diet to reverse diabetes, autoimmune and many other conditions - he's achieving stunning success with his clients - you can too...! Find Stephen here https://www.ketocarnivore.co.uk/ and at his more technically detailed site here: https://www.optimalhealthcoaching.co.uk/ My new offer from New Zealand friend Warren Matthews here - just use code "IVOR15" https://www.xtend-life.com/products/organ-ultra NOTE: My extensive research and interviewing/video/sound editing and much more does require support - please consider helping if you can with monthly donation or one-off payment - simply use the following link: https://www.paypal.com/donate?hosted_button_id=69ZSTYXBMCN3W ...or join up at my Patreon Link: https://www.patreon.com/IvorCummins

Development of autonomous vehicles is an excellent example of machine learning applied to industrial IoT. In this episode, Alexander Noack of b-plus and Frank Kräemer of IBM Germany join Chris Grundemann and Stephen Foskett to discuss data collection on the road, central processing, and AI model training. Machine learning is part of the development of autonomous vehicle development and is also used in production in vehicles. It is also used to filter data and enhance processing, and this is the same concept found in many edge and industrial use cases. Edge computing is relevant beyond AI, and these technologies are complementary, with the edge moving right into vehicles, factories, retail outlets, medical facilities, and more. Three Questions When will we see a full self-driving car that can drive anywhere, any time? Are there any jobs that will be completely eliminated by AI in the next five years? How small can ML get? Will we have ML-powered household appliances? Toys? Disposable devices? Guests and Hosts Frank Kräemer, Systems Architect at IBM Germany. Connect with Frank on LinkedIn or on Twitter @IBM. Alexander Noack, Managing Director at b-plus. Connect with Alexander on LinkedIn. Chris Grundemann, Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett. Date: 5/4/2021 Tags: @SFoskett, @ChrisGrundemann, @IBM

We are on the cusp of a totally new architecture for enterprise IT, and this change toward composability is being driven by applications like AI. Instead of designing around fixed-configuration servers, disaggregation allows the use of pools of resources, and composability allows dynamic allocation of these resources as needed for different applications. When it comes to AI workloads, organizations can deploy a set of expensive GPUs and then allocate these as needed to various tasks, and redeploy these when that task (ML training, for example) is done. That’s what Liqid is delivering for their customers, and why we invited CEO and Co-Founder Sumit Puri and Chief AI Architect Josiah Clark to join Stephen Foskett and Chris Grundemann for this episode of Utilizing AI. Three Questions Are there any jobs that will be completely eliminated by AI in the next five years? Can you think of any fields that have not yet been touched by AI? How small can ML get? Will we have ML-powered household appliances? Toys? Disposable devices? Guests and Hosts Sumit Puri, CEO and Co-Founder at Liqid. Connect with Sumit on LinkedIn or on Twitter at @WeAreLiqid. Josiah Clark, Chief AI Architect at Liqid. Connect with Josiah on LinkedIn. Chris Grundemann, Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett. Date: 4/27/2021 Tags: @SFoskett, @ChrisGrundemann, @WeAreLiqid

Industrial cameras and sensors are generating more data than ever, and companies are increasingly moving machine learning to the edge to meet it. This is the market for FogHorn, so we invited Co-Founder Sastry Malladi to join Chris Grundemann and Stephen Foskett to discuss the implications of this challenge. Industrial IoT, also called operational technology, is the use of distributed connected sensors and devices in industrial environments, from factories to oil rigs to retail. Any solution to this problem must be oriented towards the staff and skills found in these environments and must reflect the data inputs and outputs found there. Another concern is cyber security, since these environments are increasingly being targeted by attackers. Machine learning can be brought in to control industrial processes and monitor sensors locally, with low latency and high accuracy, reducing risk and increasing profitability. These environments also benefit from transfer learning, periodic re-training, and closed-loop machine learning to keep them optimized and functional Three Questions Is machine learning a product or a feature? When will we have video-focused ML in the home that operates like the audio-based AI assistants like Siri or Alexa? Are there any jobs that will be completely eliminated by AI in the next five years? Guests and Hosts Sastry Malladi, CTO and Co-Founder at FogHorn. Connect with Sastry on LinkedIn or on Twitter at @M_Sastry. Chris Grundemann, Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett. Date: 4/20/2021 Tags: @SFoskett, @ChrisGrundemann, @M_Sastry, @FogHorn_IoT

AI applications typically require massive volumes of data and multiple devices within the datacenter. Nvidia acquired Mellanox to bring them industry-leading networking products to enable next-generation applications, including artificial intelligence. Kevin Deierling joins Chris Grundemann and Stephen Foskett to discuss the Nvidia vision for a datacenter-wide compute unit with integrated networking to bring all of these components together. This represents a continuous evolution of computing, from supercomputers to HPC to big data to AI, all of which have required more compute, memory, and storage resources than any one device and require the connectivity to bring it all together. Three Questions How long will it take for a conversational AI to pass the Turing test and fool an average person? When will we have video-focused ML in the home that operates like the audio-based AI assistants like Siri or Alexa? Are there any jobs that will be completely eliminated by AI in the next five years? Guests and Hosts Kevin Deierling, SVP Nvidia Networking. Connect with Kevin on LinkedIn or find him on Twitter at @TechseerKD. Chris Grundemann, Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett. Date: 4/13/2021 Tags: @SFoskett, @ChrisGrundemann, @TechseerKD, @Nvidia

Training and optimizing a machine learning model takes a lot of compute resources, but what if we used ML to optimize ML? Luis Ceze created Apache Tensor Virtual Machine (TVM) to optimize ML models and has now founded a company, OctoML, to leverage this technology. Fundamentally, machine learning relies on linear algebra, but how should we pick the fastest approach for each model? Today this is done with human intuition, but TVM builds machine learning models to predict the best approaches to try. It also creates an executable so the model can run best on various target hardware platforms. It can also help select the right target platform for a given model. Three Questions How long will it take for a conversational AI to pass the Turing test and fool an average person? Is machine learning a product or a feature? Can you think of any fields that have not yet been touched by AI? Guests and Hosts Luis Ceze, CEO of OctoML. Find Luis on Twitter at @LuisCeze. Chris Grundemann, Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett. Date: 4/6/2021 Tags: @SFoskett, @ChrisGrundemann, @LuisCeze, @OctoML

AI applications have large data volumes with lots of clients and conventional storage systems aren’t a good fit. In this episode, James Coomer from DDN talks about the lessons they have learned building storage systems to support AI applications. Inferencing requires terabytes or petabytes of data, often large files and streaming data. For example, autonomous driving applications generate hundreds of terabytes of data per vehicle drive, resulting in petabytes of data to ingest and process. DDN’s parallel filesystem goes a step further than NFS with an intelligent client that directs I/O to leverage all network links and storage endpoints available. Deep learning loves data, and a smart client can make the whole application faster. Because data is the biggest AI challenge today, an advanced storage solution can really help deliver AI solutions in the enterprise. Although most companies realize that finding expertise (data scientists, etc) is a major challenge, building infrastructure to support them is just as critical. Guests and Hosts James Coomer is Senior Vice President for Products at DDN. Connect with James on LinkedIn or learn more on Twitter at @DDN_Limitless. Andy Thurai, technology influencer and thought leader. Find Andy’s content at theFieldCTO.com and on Twitter at @AndyThurai. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett. Date: 3/30/2021 Tags: @SFoskett, @AndyThurai, @DDN_Limitless

AI and analytics needs access to massive volumes of data, but we are constantly reminded of the importance of securing data. How can data be protected at rest and in flight while still enabling access? That’s what Titaniam is enabling, and this episode of Utilizing AI features CEO Arti Raman, who tells us how they are able to provide access to data without leaving it wide open. They provide granular access according to the needs of the application, enabling access for processing on demand. This approach also protects data in use by researchers and developers, since they can not access the clear text data even while their system is processing it. This has practical applications for medical applications or when dealing with personally identifiable information (PII) in the face of GDPR and CCPA. Guests and Hosts: Arti Raman is CEO and Founder of Titaniam. Connect with Arthi on LinkedIn and learn more on Twitter at @TitaniamLabs. Chris Grundemann a Gigaom Analyst and VP of Client Success at Myriad360. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett. Date: 3/23/2021 Tags: @SFoskett, @ChrisGrundemann, @TitaniamLabs

Most organizations have a vast amount of so-called unstructured data, and this poses a major risk for operations. But what if there was an AI-powered application that could sift through all this data, categorize it, and determine the risk profile for everything? That’s the promise of Concentric IO, and the premise for this episode of Utilizing AI with their CEO, Karthik Krishnan. The company uses a deep learning model trained on a vast pool of data from the Internet to create “Concentric Mind” which can identify documents across many business verticals, and this is continually tuned based on the results at each new customer environment. It also includes a language model to identify clusters of documents thematically. Guests and Hosts: Karthik Krishnan is CEO of Concentric. Connect with Karthik on Twitter at @KK_Karthik. Chris Grundemann a Gigaom Analyst and VP of Client Success at Myriad360. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett. Date: 3/16/2021 Tags: @SFoskett, @ChrisGrundemann, @KK_Karthik, @IncConcentric

Stephen Patterson, PhD is an Associate Professor in Applied Exercise Physiology & Performance and the director of the Centre for Applied Performance Sciences at St. Mary’s University in London. Stephen has published more than 60 scientific research papers investigating strategies to improve performance in clinical groups and elite athletes, with a focus on the adaptation and response to exercise. He is currently investigating the use of blood flow restriction and ischemic preconditioning before and during exercise. On this podcast, Stephen discusses blood flow restriction (BFR) training, including what it is, how it works, and who can benefit from it.  He shares the importance of using cuffs and properly measuring the pressure they apply, as well as things to look for when purchasing a set. He also shares some conclusions drawn from recent BFR research, including the optimal number of reps, effects of BFR on bone and tendons, and the most important factor when aiming for muscle hypertrophy. Here’s the outline of this interview with Stephen Patterson: [00:00:24] Stephen's background and interest in exercise physiology. [00:01:45] Blood flow restriction (BFR) training. [00:02:45] Questions from Eric Helms, Mike T Nelson, and Greg Potter. [00:03:16] Effects of BFR on athletic performance. [00:05:32] BFR with aerobic exercise (cycling); Study: Christiansen, Danny, et al. "Cycling with blood flow restriction improves performance and muscle K+ regulation and alters the effect of anti‐oxidant infusion in humans." The Journal of physiology 597.9 (2019): 2421-2444. [00:06:32] Why use BFR. [00:07:54] The value of using cuffs. [00:08:44] Use of BFR by practitioners; Study: Patterson, Stephen D., and Christopher R. Brandner. "The role of blood flow restriction training for applied practitioners: A questionnaire-based survey." Journal of sports sciences 36.2 (2018): 123-130. [00:09:37] Jeremy Loenneke; Studies using elastic knee wraps: Loenneke, Jeremy P., et al. "The acute response of practical occlusion in the knee extensors." The Journal of Strength & Conditioning Research 24.10 (2010): 2831-2834, Loenneke, Jeremy P., et al. "Blood flow–restricted walking does not result in an accumulation of metabolites." Clinical physiology and functional imaging 32.1 (2012): 80-82. [00:11:58] Delfi's Personalized Tourniquet System for Blood Flow Restriction. [00:12:56] What to look for when purchasing a BFR system. [00:13:03] B Strong; Podcast with Jim Stray-Gundersen MD: Blood Flow Restriction Training for Improved Strength, Performance, and Healthspan. [00:20:58] Aerobic exercise and BFR; Study: Ferguson, Richard A., et al. "Blood‐flow‐restricted exercise: Strategies for enhancing muscle adaptation and performance in the endurance‐trained athlete." Experimental Physiology (2021). [00:23:08] Protocol for hypertrophy. [00:23:55] 75 reps is often a recommended volume; more is not better. [00:28:17] Releasing the cuffs between exercises. [00:28:42] Potential effects on endothelium; Study: Credeur, Daniel P., Brandon C. Hollis, and Michael A. Welsch. "Effects of handgrip training with venous restriction on brachial artery vasodilation." Medicine and science in sports and exercise 42.7 (2010): 1296. [00:30:19] BFR compared to other forms of training. [00:30:47] Lifting to failure more important that amount of weight lifted; Study: Burd, Nicholas A., et al. "Bigger weights may not beget bigger muscles: evidence from acute muscle protein synthetic responses after resistance exercise." Applied physiology, nutrition, and metabolism 37.3 (2012): 551-554. [00:32:55] Effects on bone density. [00:34:49] Japanese study in 2006 found no effect on tendon thickness: Abe, T., et al. "Muscle, tendon, and somatotropin responses to the restriction of muscle blood flow induced by KAATSU‐walk training." Equine Veterinary Journal 38.S36 (2006): 345-348. [00:34:58] Recent German study showed positive effects on tendon stiffness: Centner, Christoph, et al. "Low-load blood flow restriction training induces similar morphological and mechanical Achilles tendon adaptations compared with high-load resistance training." Journal of Applied Physiology 127.6 (2019): 1660-1667. [00:35:16] Case studies demonstrating structural tendon improvements: Skovlund, Sebastian V., et al. "The effect of low‐load resistance training with blood flow restriction on chronic patellar tendinopathy—A case series." Translational Sports Medicine 3.4 (2020): 342-352. [00:36:09] Combining BFR with ischemic preconditioning. [00:41:36] Motor unit recruitment. [00:42:53] Further research coming up. [00:44:50] Effects on cognitive function. [00:45:45] David Raichlen podcast: Wired to Run: Why Your Brain Needs Exercise. [00:46:18] St. Mary’s University MSc program in Strength and Conditioning. [00:47:13] Stephen's recent review: Patterson, Stephen D., et al. "Blood flow restriction exercise: considerations of methodology, application, and safety." Frontiers in physiology 10 (2019): 533. [00:47:22] Find Stephen on Twitter.

Big data really wasn't all that big until modern analytics and machine learning applications appeared, but now storage solutions have to scale capacity and performance like never before. In this episode, Brad King, Co-Founder of Scality, joins Chris Grundemann and Stephen Foskett to discuss this new demand for scalable storage by AI applications. Applications like autonomous driving, log analysis, and travel booking are driving massive need for storage as AI applications detect anomalies and support business intelligence. Scality had to tune their system to handle the massive scale of data supporting these applications, with up to a petabyte of log data being added and deleted in a single day. AI-driven tools are enabling customers to do what they never could do, and it requires a balanced infrastructure stack to make it possible. Brad suggests that companies implementing AI applications need to find a system that scales with their needs and has API-driven data access, preferably with an object-based storage model. Guests and Hosts: Brad King is Co-Founder and CTO of Scality. Connect with Brad on Twitter at @Baslking. Chris Grundemann a Gigaom Analyst and VP of Client Success at Myriad360. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett. Date: 3/9/2021 Tags: @SFoskett, @ChrisGrundemann, @Scality, @Baslking

When it comes to AI, it's garbage in, garbage out: A model is only as good as the data used. In this episode of Utilizing AI, Ayodele Odubela joins Chris Grundemann and Stephen Foskett to discuss practical ways companies can eliminate bias in AI. Data scientists have to focus on building statistical parity to ensure that their data sets are representative of the data to be used in applications. We consider the sociological implications for data modeling, using lending and policing as examples for biased data sets that can lead to errors in modeling. Rather than just believing the answers, we must consider whether the data and the model are unbiased. Guests and Hosts: Ayodele Odubela of @CometML is an ML instructor, founder, and author. Connect with Ayodele on Twitter at @DataSciBae. Chris Grundemann a Gigaom Analyst and VP of Client Success at Myriad360. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett. Date: 3/2/2021 Tags: @SFoskett, @ChrisGrundemann, @DataSciBae

Biases can creep into any data set, and these can cause trouble when this data is used to train an AI model. Alf Rehn, Professor of Innovation, Design, and Management at the University of Southern Denmark, joins Andy Thurai and Stephen Foskett to discuss the lessons he has learned about algorithmic bias based on his work with the Velux Foundations Algorithms, Data and Democracy project. Society is directing artificial intelligence to solving some problems and ignoring others, and this can create biases as surely as data selection in model training. Can we ever truly eliminate bias? If not how do we work against it? Can we keep the genie in the bottle even if we want to? And can machines ever make sound, ethical subjective decisions? Guests and Hosts Alf Rehn, Professor of Innovation, Design and Management at the University of Southern Denmark. Find Alf on Twitter as @AlfRehn or at AlfRehn.com Andy Thurai, technology influencer and thought leader. Find Andy’s content at theFieldCTO.com and on Twitter at @AndyThurai Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett Date: 2/23/2021 Tags: @SFoskett, @AndyThurai, @AlfRehn

Productive use of AI requires the application of existing models to new applications through a process called transfer learning. In this episode, High-Performance Computing and AI Expert Frederic van Haren joins Stephen Foskett to discuss the topic of transfer learning and what it means, from voice recognition to autonomous driving and enterprise applications. Transfer learning is analogous to the way teachers impart knowledge and experience to their students, and represents a feedback loop that improves the model over time. This is a valuable concept for applications like language processing but requires a feedback mechanism or it is something of a dead end. One challenge for machine learning is that models do not truly understand the world the way people do, but they can fool us into thinking that they do because of their uncanny ability to match patterns the way we would. Over time, we all must develop a better understanding of this technology even as it is being widely deployed around us. Guests and Hosts Frederic Van Haren, CTO and Founder of HighFens. Find Frederic on Twitter as FredericVHaren. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett Date: 2/16/2021 Tags: @SFoskett, @FredericVHaren

BrainChip is developing a novel ultra low power “neuromorphic” AI processor that can be embedded in literally any electronic device, rather than centralizing learning in high performance processors. Today’s edge devices are applying exiting models to process inputs but can’t actually learn in the field, but on-chip learning and inference could radically alter the capabilities of devices in automotive, home, medical, and other remote locations. BrainChip is able to reduce power thanks to the neuromorphic self-learning approach and also because they reduce precision down to 4 bits or less. This loses some accuracy, but only a little. The company also creates a mesh of cores that have access to local memory, enabling flexibility of processing. Guests and Hosts Lou DiNardo, President and CEO of BrainChip. Connect with Lou on LinkedIn Andy Thurai, technology influencer and thought leader. Find Andy’s content at theFieldCTO.com and on Twitter at @AndyThurai Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett Date: 2/9/2021 Tags: @SFoskett, @AndyThurai, @BrainChip_Inc

AI is impacting IT operations more quickly than expected, and companies like Splunk are leveraging it to augment staff capabilities. Josh Atwell joins Andy Thurai and Stephen Foskett to discuss practical application of AI to help keep IT operations from drowning in data as applications are distributed in containers and the cloud. The key to using AI for operations is to leverage it to assist staff to process the volume and velocity of data, not replace them. Guests and Hosts Josh Atwell is Senior Technology Advocate at Splunk. Find Josh on Twitter as @Josh_Atwell and learn more about Splunk at Splunk.com Andy Thurai, technology influencer and thought leader. Find Andy’s content at theFieldCTO.com and on Twitter at @AndyThurai Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett Date: 2/2/2021 Tags: @SFoskett, @AndyThurai, @Josh_Atwell, @Splunk

Ken Grohe of Weka discusses various business use cases for AI-enabled applications with Chris Grundemann and Stephen Foskett. AI is coming into practical use right now in applications like autonomous vehicles, drug development and healthcare, and retail. High-performance scalable storage is necessary for many ML training applications, and can be key to advanced applications in life sciences and others with massive data sets. The Chief Data Officer, and data scientists in general, are the future of the business, and AI is enabling the growth of this field. Guests and Hosts Ken Grohe, President and Chief Revenue Officer of Weka. Find Ken on LinkedIn and Twitter as @LeverageGTM and learn more about Weka at Weka.IO Chris Grundemann a Gigaom Analyst and VP of Client Success at Myriad360. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett Date: 1/26/2021 Tags: @SFoskett, @ChrisGrundemann, @LeverageGTM, @WekaIO

Per Nyberg of Stradigi AI discusses "blue collar" AI applications with Stephen Foskett. What problems can businesses solve with AI technology? Machine learning can find anomalies and outliers in manufacturing and finance, look for relationships in data, and cutting through the complexity of multi-disciplinary data. Consider customer churn: Machine learning can discover features in profiles that might not be visible even to an expert. Data scientists and AI experts must learn to present AI technology to average business people in terms they can understand, and this has lead to a "haves/have nots" situation where some companies or business units don't have access to this technology. We also need to reduce the science fiction appeal of AI and express what it can't do. Guests and Hosts Per Nyberg is Chief Commercial Officer for Stradigi AI. Find Per on LinkedIn to continue the conversation and connect on Twitter as @_PerNyberg or @StradigiAI Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett. Date: 1/19/2021 Tags: @SFoskett, @_PerNyberg, @StradigiAI

Stephen brings us history from a fresh perspective and shows us where we've been led astray and how to get back on the true path. Find Stephen at https://www.ctruth.today Rogue on Locals: rogue.locals.com My novel "Earth: a Trough in Time" : https://tinyurl.com/y42xf3gx Subscribe: https://www.subscribestar.com/rogue-ways Donate to support: paypal.me/QuorriScharmyn My work: https://www.rogueways.org Music by The UnknoWn: https://www.patreon.com/Johnnybravado Rogue on SoundCloud: https://soundcloud.com/lindesy-quorri-brwon Spagyric Remedies and Supplements you can trust: https://www.phoenixaurelius.org/?ref=lindseybrown1

There are many “last mile” items on the enterprise checklist, and companies are struggling to connect everything together. In this episode, Monte Zweben, CEO of Splice Machine, discusses feature stores with Andy Thurai and Stephen Foskett. Data engineers maintain data pipelines, data scientists maintain the data store, and machine learning engineers are trying to create models and package them so they will be useful. One idea is to store a model in a relational database, store records in a feature table, and enable the database to trigger a model based on this data. That’s what Splice Machines is implementing - in-database ML deployment. SQL is making a comeback in ML, with scale-out solutions providing a more familiar and usable environment than leading noSQL databases. Monte believes that SQL will be the dominant data paradigm for machine learning, modeling, experimentation, and deployment. After all, SQL is the dominant language of enterprise data scientists. Guests and Hosts Monte Zweben is CEO of Splice Machine. Find Monte on Twitter as @MZweben and Splice Machine as @SpliceMachine. Andy Thurai, technology influencer and thought leader. Find Andy’s content at theFieldCTO.com and on Twitter at @AndyThurai. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett Date: 1/12/2021 Tags: @SFoskett, @AndyThurai, @MZweben, @SpliceMachine

AI will be part of everything we do in the future, not replacing us but augmenting our work, and this is especially true in information security. In this, the first episode of Season 2 of Utilizing AI, Steve Salinas joins Chris Grundemann and Stephen Foskett to discuss AI as a “co-pilot.” Enterprise security saw an explosion of threats in the last decade, outstripping the ability of information security professionals to identify and prevent intrusions. The goal of enterprise AI in security is to help identify threats both known and unknown through deep learning as well as simpler pattern-matching machine learning. Of course, if AI is a co-pilot inside the company it will also be used by intruders, and adversarial machine learning is rising. The industry needs to be ready for anything! We finish the episode with a new feature: Three questions about the future of AI! Guests and Hosts Steve Salinas is an Information Security Product Marketing Professional. You can find Steve Twitter as @So_Cal_Aggie or on LinkedIn as StevetheMarketingGuy Chris Grundemann a Gigaom Analyst and VP of Client Success at Myriad360. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett Date: 1/5/2021 Tags: @SFoskett, @ChrisGrundemann, @So_Cal_Aggie

Just as data analytics transformed business intelligence so is artificial intelligence transforming data science. In this episode, Mel Greer of Intel joins Chris Grundemann and Stephen Foskett to discuss this transformation, which is impacting business of all sorts including Intel itself. Intel's strategy has evolved, and their hardware platforms are following, with the company developing hardware and software to serve AI-driven data analytics. The conversation then turns to the challenges of implementing unbiased AI, from explainable AI to diversity of data and thought within businesses. Hosts and Guests Mel Greer, Chief Data Scientist, Americas, at Intel. Connect with Mel on LinkedIn. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett. Chris Grundemann a Gigaom Analyst and VP of Client Success at Myriad360. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann Date: 12/22/2020 Tags: @SFoskett, @ChrisGrundemann, @IntelAI, @Intel

In this episode, we ask Red Hat about the platform requirements for AI applications in production. What makes AI applications special and how does this change the infrastructure required to support these? The demand for flexibility, scalability, and distribution seems to match the capabilities of a hybrid cloud, and this is emerging as the preferred model for AI infrastructure. Red Hat is supporting the container-centric hybrid cloud with OpenShift, and containers are also critical to AI workloads. Red Hat has production customers in healthcare, manufacturing, and financial industries deploying ML workloads in production right now. Episode Hosts and Guests Abhinav Joshi, Senior Manager, Product Marketing, OpenShift Business Unit, Red Hat. Find Abhinav on Twitter at @Abhinav_Joshi. Tushar Katarki, Senior Manager, Product Management, OpenShift Business Unit, Red Hat. Find Tushar on Twitter at @TKatarki. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett. Chris Grundemann a Gigaom Analyst and VP of Client Success at Myriad360. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann Date: 12/15/2020 Tags: @SFoskett, @ChrisGrundemann, @Abhinav_Joshi, @TKatarki, @RedHat, @OpenShift

In this episode, Stephen Foskett and Chris Grundemann discuss the impact of AI on the future of work. How will our everyday lives be transformed by the widespread application of AI? What about the datacenter? Do AI-enabled network management tools mean we lose jobs? We already rely on AI-enabled tools, from Siri to Marvis, and maybe this is the template for the future of work with AI. Not everyone needs to be a data scientist or programmer, we just need to see AI as a co-worker. Episode Hosts and Guests Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett. Chris Grundemann a Gigaom Analyst and VP of Client Success at Myriad360. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann. Date: 12/8/2020 Tags: @SFoskett, @ChrisGrundemann

We begin by taking a look at the world of data and analytics in the enterprise. Data architects like Yves have been involved in enterprise IT applications for decades, but the world really took off with the advent of data warehouses and the field of data science. Now AI and ML are impacting the field in many ways, and we discuss how this world has changed. Data scientists come from a statistics background, while modelers come from software engineering. How do the tools interact and intersect? What is Yves excited about and what frightens him? How does the infrastructure support all this? We finish with a look at what the future looks like: We will see a lot of evolution in science and medicine for data and ML, and this technology will be found everywhere in the datacenter and the cloud. Key questions covered include the following: How did the world of data and analytics evolve in the enterprise? How has AI/ML impacted the job of the data scientist? How can the data modelers, software developers, and IT Ops work together? Episode Hosts and Guests Yves Mulkers, Data & Analytics Strategist. Find Yves on Twitter at @YvesMulkers. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett. Date: 12/1/2020 Tags: @SFoskett, @YvesMulkers

"So this is how liberty dies... with thunderous applause...". I bet you've heard that phrase used when discussing politics, right? Well, like many other examples, it is just one parallel between the world of "Earthly politics" and the world of "Star Wars politics". Joining the show to help outline just how much our world and the Star Wars world share is host of "Beltway Banthas" and political commentator Stephen Kent! Find Stephen and Beltway Banthas: https://www.stephendkent.com/ Sponsored By: The Expat Money Show: Just because you were born in one country DOESN'T mean you need to: -Pay taxes there -Do your banking there -Have your investments there -Raise your kids there -Have your company registered there -Be educated there -Live your life there! The Expat Money Show originally started as a Podcast and has grown to a worldwide community of Entrepreneurs who are living international location independent lifestyles. Mikkel Thorup is focused on helping you to live an international life by looking at problems through the lens of global solutions, in this day and age there is no reason you should let borders get in the way of having the best the world has to offer. Eables: Eables is offering a special discount to all members of The Brian Nichols Show Audience on all orders! All you have to do is head to Eables.com and use the promo-code “TBNS” at checkout, and that's it! Discount applied! Again, that's code TBNS at checkout to start managing your pain today with the highest quality CBD on the market. Promo Code: TBNS Support The Brian Nichols Show Learn more about your ad choices. Visit megaphone.fm/adchoices

AI, machine learning, and neural networks are not new ideas. So what changed now? Over the last 5-6 years, advances in software, hardware, and scale have brought machine learning to the forefront, enabling new products and technologies. In this episode, Bob Friday, CTO of Mist, a Juniper Company, discusses the changes that have enabled his company and others to bring AI to the enterprise. We focus on four key questions: When did you start to see that AI was going to be a major force in the enterprise networking world? How have Google and other companies enabled AI through advances in open source software? How about hardware? There have been many advances over the last decade, from GP-GPUs to faster and lower-latency networking in storage. How has this enabled AI? How are large neural networks enabling AI in the enterprise? Episode Hosts and Guests Bob Friday, CTO of Mist, a Juniper Company. Find bob on Twitter at @WirelessBob. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett. Andy Thurai, technology influencer and thought leader. Find Andy’s content at theFieldCTO.com and on Twitter at @AndyThurai. Date: 11/24/2020 Tags: @SFoskett, @AndyThurai, @WirelessBob, @JuniperNetworks

Matt Bryson of Wedbush securities joins Stephen Foskett for a discussion of AI hardware companies, focusing on the biggest player, Nvidia. Stephen and Matt start with a look at Nvidia: Just how big is Nvidia in the enterprise AI market? Then we turn to other major player in this space, Intel, which is strong in the inference market with their Xeon processors but obviously wants a bigger piece of the special-purpose processor market. AMD has had success in the cloud but doesn’t seem focused on the AI space. Then we look at the world of AI hardware startups. How will they compete with Nvidia, Intel, and AMD, when they just don’t have the same resources? Companies like BrainChip and Cerebras are trying to be more efficient and go after the gaps in the market rather than compete directly with Nvidia. Then there’s the crossover between AI and HPC, which is an opportunity for AMD, Tachyum, and others. We also see an opportunity for AI at the edge, which brings to mind companies like Apple and Huawei who are adding AI processing to chips used in client systems. We also need to consider companies like Amazon and Google that are creating their own AI solutions and Microsoft using GraphCore. But does AI live in the cloud or will next-generation hardware platforms like Liqid be more compelling? Finally we turn to the pending acquisition of Arm by Nvidia, and what that means if it goes through and if it doesn’t. Episode Hosts and Guests Matt Bryson, Senior Vice President at Wedbush Securities, can be found on LinkedIn at LinkedIn.com/in/Matt-Bryson-3105071/ Stephen Foskett, publisher of Gestalt IT and organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett Date: 11/17/2020 Tags: @SFoskett, @Nvidia, @Intel, @AMD, @BrainChip_Inc, @CerebrasSystems, @Tachyum

Most enterprise IT projects fail, and it has been this way for decades, and this discussion with Roey Mechrez of BeyondMinds considers why this is the case. One of the primary reasons is the trade-off between building custom solutions and buying off the shelf products. This is doubly different with AI since the success of a model depends on the data and training, not to mention the maintenance and updates needed as issues arise. Data science teams need to invest significant time and model into infrastructure, rather than just jumping in to train the model. This is a similar challenge to DevOps, but the added dimension of models and data makes MLOps even more challenging. Episode Hosts and Guests Stephen Foskett, publisher of Gestalt IT and organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett Andy Thurai, technology influencer and thought leader. Find Andy's content at theFieldCTO.com and on Twitter at @AndyThurai Roey Mechrez, CTO at BeyondMinds. Find Roey on Twitter at @BeyondMindsAI Date: 11/10/2020 Tags: @SFoskett, @AndyThurai, @BeyondMindsAI

David Aponte and Demetrios Brinkmann discuss the future of Kubeflow with Stephen Foskett and Andy Thurai. Kubeflow is getting a lot of attention, but contributions and community seem to be lagging. Is this really the future of machine learning or just another dead-end open source project? Will product vendors pile on top, redirect the project, or kill development? The open source community tends to gravitate to quality projects, and it will develop Kubeflow (or not) based on the usefulness of the solution. Episode Hosts and Guests David Aponte, Machine Learning Engineer. Find David online at LinkedIn.com/in/AponteAnalytics and on Twitter at @AponteAnalytics Demetrios Brinkmann, Community Coordinator for @MLOpsCommunity. Find Demetrios online at LinkedIn.com/in/DPBrinkm and on Twitter at @DPBrinkm Andy Thurai, technology influencer and thought leader. Find Andy’s content at theFieldCTO.com and on Twitter at @AndyThurai Stephen Foskett, publisher of Gestalt IT and organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett Date: 11/3/2020 Tags: @SFoskett, @AndyThurai, @AponteAnalytics, @DPBrinkm, @MLOpsCommunity

Stephen Foskett and Andy Thurai discuss the parallels between DevOps and MLOps with Gaetan Castelein of Tecton. We are in the middle of a shift in analytics and software engineering, with DevOps and continuous deployment, and this is colliding with the development of data analytics and big data. Machine Learning allows organizations to handle this explosion of data and build new applications and automate new business processes, but MLOps must be converged with big data and DevOps tooling to make this a reality. One key enabler of this transformation is the creation of an ML feature store, which stores curated features for machine learning pipelines. Feature stores typically enable users to build features, have standardized feature definitions, run models using these curated features, and manage MLOps. This episode features: Stephen Foskett, publisher of Gestalt IT and organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett Andy Thurai, technology influencer and thought leader. Find Andy's content at theFieldCTO.com and on Twitter at @AndyThurai Gaetan Castelein, VP of Marketing at Tecton (@TectonAI). Find Gaetan on Twitter at @GaetCast Date: 10/27/2020 Tags: @SFoskett, @AndyThurai, @GaetCast, @TectonAI

Stephen Obisanya is a documentary photographer whose work is heavily rooted in exploring the facets of human connection and condition through the lens of family and community. Originally born (1989) in Lagos, Nigeria, and currently residing in New York City, much of Obisanya's work is informed by his dual identity: a cultural background as an African and a lived experience as a first-generation immigrant in America. Find Stephen online at: https://www.stephenobisanya.com/ Listen to artisans&trade podcast at: https://www.artisansandtrade.com/podcast -- This conversation was recorded on October 15, 2020 in Staten Island, NY. Please contribute to my PATREON by visiting the URL: https://www.patreon.com/ericnorcrossAnd learn more about me at: http://www.EricNorcross.com Eric Norcross is a filmmaker, writer, and artist. Reach out, ask questions, and let's create! https://www.ericnorcross.com/contact Copyright © 2020 Eric Norcross - All Rights Reserved --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/eric-norcross/support

Stephen Foskett discusses the practicalities involved in packaging, deploying, and operating AI models with Manasi Vartak of Verta. Deploying an AI model in production is a challenge, just like it was in the past with software. Once a company has an AI model to deploy, they must validate its results, create scaffolding code to make it consumable, optimize the data pipelines, instrument it, and assign operators. This is what Manasi and Verta have developed, and the world of AIOps parallels that of DevOps but with some unique twists. The data component of AI models presents a unique challenge not found in some other enterprise applications, and it is important to continually test the model to ensure that it hasn't drifted off target as data changes. Previously, training models was the main challenge for AI, but now it's all about getting things into production. That's why we started this podcast and why we created AI Field Day! This episode features: Stephen Foskett, publisher of Gestalt IT and organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett Manasi Vartak, CEO and Founder of Verta (@VertaAI). Find Manasi on Twitter at @DataCereal Date: 10/20/2020 Tags: @SFoskett, @DataCereal, @VertaAI

Stephen Foskett and Andy Thurai are joined by Chris Grundemann to discuss how AI is used in enterprise networking, and how it is changing the industry. They begin with a discussion of AI in enterprise networking, connecting it with software-defined networking and other trends. What network management tasks can be improved through the use of AI? Grundemann looks to using the technology in root cause analysis and fault correlation as well as prediction of network events. The discussion then turns to the ways that AI workloads will change the workload or demand on networking. AI systems demand data, throughput, and low latency, and the networking must adapt to support these workloads. This episode features: Stephen Foskett, publisher of Gestalt IT and organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett Andy Thurai, technology influencer and thought leader. Find Andy's content at theFieldCTO.com and on Twitter at @AndyThurai Chris Grundemann a Gigaom Analyst and VP of Client Success at Myriad360. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann Date: 10/13/2020 Tags: @SFoskett, @AndyThurai, ChrisGrundemann

Stephen Foskett is joined by Josh Fidel, a technologist and futurist who has been inspired by applications for AI. Starting with a discussion of GPT-3, the AI text generation engine, the discussion ranges widely from AI Weirdness to James Yu's Singular to technological determinism to the Melbourne Monolith. Applications of AI are everywhere today, and Fidel's background as an enterprise technologist and futurist gives him a unique perspective. AI is generating compelling content, and we all must be ready to absorb and understand it. How will businesses use machine-generated text? It is likely that we will have to push back on too-broad uses of AI technology in the interest of truth and usefulness, rather than simply applying AI to every task at hand. This episode features: Stephen Foskett, publisher of Gestalt IT and organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett Josh Fidel, futurist and technical architect. Find Josh on Twitter at @JCEFidel. Date: 10/06/2020 Tags: @SFoskett, @JCEFidel

Stephen Foskett is joined by Karen Lopez, an expert and speaker on data management, data quality, and data analysis. Karen focuses on the quality of the data underlying AI systems and the ethics of using this data. She discusses concerns about data reuse, consent for use, and how changes of data cat impact the outcome of models. We also consider the impact of pervasive data collection, and how this flood of data can impact the outcome of AI models. We finish with a discussion of outliers and missing data, and how this can affect the integrity of artificial intelligence applications. This episode features: Stephen Foskett, publisher of Gestalt IT and organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett Karen Lopez, Senior Project Manager and Architect at InfoAdvisors. Find Karen's writing at DataModel.com and on Twitter at @Datachick Date: 09/29/2020 Tags: @SFoskett, @Datachick

Welcome to the What's Next! podcast with Tiffani Bova.   This week I am thrilled to welcome Stephen Shedletsky to the What’s Next Podcast! Stephen leads Brand Experience and lead igniter at Simon Sinek, Inc. He ensures that every product, partnership, and communication reflect the organization’s most deeply-held beliefs. As an Igniter himself, Stephen is first in line to support those who seek to discover, articulate, and bring their WHY to life. With a knack for sharing the right words at the right moment, he delivers evidence-based content in a provocative, captivating, and light-hearted way. Stephen joined Simon Sinek’s team in 2012, answering fan email.   THIS EPISODE IS PERFECT FOR… anyone looking to be inspired, find their “why,” and pivot themselves and/or their businesses into a purpose-driven, fulfilling venture in this strange new world!  TODAY’S MAIN MESSAGE… Stephen is all about inspiring people to live their purpose and live more fulfilled life. It’s very powerful when you can move around and through your purpose, or your vision of what you are trying to create! Earlier this year, the world seemed to change overnight… and suddenly we all needed to pivot rapidly. Stephen and the team at Simon Sinek immediately took to their task of creating–and helping others create–a safer, more inspired, and more fulfilled world in a NEW way. Like the rest of us, they knew they needed to reinvent themselves, their jobs, and their business models… Stephen explains that it wasn’t, and shouldn’t be, about individual credit. It’s all about improvement and cooperation. He also breaks down some of the work he and others are doing at Simon Sinek to help others jumpstart their “why” and articulate their purpose, identify the difference between confidence and arrogance, and internalize the power and process of the pivot! He also dives into finite vs infinite and which side the “game of business” falls.  WHAT  I  LOVE  MOST… It’s not just about pivoting your company, but pivoting yourself and it’s not a game of credit, it’s a game of improvement!    Running time: 33:34    Subscribe on iTunes       Find Tiffani on social:   Facebook   Twitter   LinkedIn   Instagram      Find Stephen online:   LinkedIn  Twitter    Simon Sinek Resources:  https://simonsinek.com/  https://simonsinek.com/InspireU 

Stephen Foskett is joined by Gina Rosenthal, an expert on enterprise IT infrastructure and operations. Gina has made her career in enterprise IT infrastructure and has worked with many of the largest vendors. In this episode, she considers how vendors approach artificial intelligence, what applications they are delivering, and what this means in the enterprise. The conversation turns to ethics and risks of AI applications and how business should approach building AI models. As AI applications are deployed in the line of business, IT infrastructure organizations need to be prepared to handle the demands of these systems with next-generation cloud platforms. This episode features: Stephen Foskett, publisher of Gestalt IT and organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett Gina Rosenthal, Founder of Digital Sunshine Solutions. Find Gina on Twitter at @GMinks Date: 09/22/2020 Tags: @SFoskett, @GMinks

Stephen Foskett is joined by Ray Lucchesi, an expert on enterprise IT infrastructure and operations. Ray has seen many technologies come and go, but he's impressed by AI. Why does he think it's more reality than hype and how does he think it will affect the datacenter going forward? How are product vendors using AI and ML technology today, from storage to security to systems management? What will AI mean to datacenter infrastructure and the future of CPU and GPU hardware? Stephen Foskett can be found at GestaltIT.com and on Twitter @SFoskett. Ray Lucchesi can be found online at SilvertonConsulting.com and on Twitter @RayLucchesi. This episode features: Stephen Foskett, publisher of Gestalt IT and organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett Ray Lucchesi, President of Silverton Consulting. Find Ray on Twitter at @RayLucchesi Date: 09/15/2020 Tags: @SFoskett, @RayLucchesi

Stephen Foskett discusses practical aspects of enterprise AI with David Aponte and Demetrios Brinkmann. AI offers promise to help IT operations departments deal with the flood of data, since ML is so good at finding needles in haystacks. But is it true or just vendor hype? Are current vendors able to work in this space or do we need a new kind of product or vendor to develop AI models? Does the new data demand a different type of infrastructure? And how are AIOps related to DevOps? Find Stephen online at GestaltIT.com and on Twitter at @SFoskett. Find David Aponte online at LinkedIn.com/in/AponteAnalytics. Find Demetrios Brinkmann online at LinkedIn.com/in/DPBrinkm and on Twitter at @MLOpsCommunity This episode features: Stephen Foskett, publisher of Gestalt IT and organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett David Aponte, Machine Learning Engineer. Find David online at LinkedIn.com/in/AponteAnalytics Demetrios Brinkmann, Community Coordinator. Find Demetrios online at LinkedIn.com/in/DPBrinkm and on Twitter at @MLOpsCommunity Date: 09/08/2020 Tags: @SFoskett, @MLOpsCommunity, DavidAponte, DemetriosBrinkmann

Stephen Foskett and Andy Thurai discuss the ethics and morality of AI. Taking a cue from an article written by Andy for AI Trends, we focus on the various biases that can influence AI, and how to prevent these from interfering with the results. Andy recommends modeling knowing that biases would come into the input data, recognizing limitations in technology and data, teaching human values and validating AI models, and setting an ethical tone in the organization creating the AI model. Like people, AI models can only be as unbiased as their environment and training, and it is critical to recognize these limits when deploying them. This episode features: Stephen Foskett, publisher of Gestalt IT and organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett Andy Thurai, technology influencer and thought leader. Find Andy's content at theFieldCTO.com and on Twitter at @AndyThurai Date: 09/01/2020 Tags: @SFoskett, @AndyThurai

In this pilot episode of Utilizing AI, Stephen Foskett and Andy Thurai discuss the reason for the podcast and consider where we go from here. AI is getting real, moving out of academia and hyperscale and into the enterprise. Businesses are adopting AI in strategically, and IT companies are deploying AI technologies in their products. This trend is quite obvious to Stephen at Gestalt IT, as many Tech Field Day companies present AI-enabled products for network monitoring and management, security, mobility, and much more. Today's infrastructure applications are focused on applying machine learning to large datasets, finding needles in haystacks. But tomorrow will see much more exciting applications. This episode features: Stephen Foskett, publisher of Gestalt IT and organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett Andy Thurai, technology influencer and thought leader. Find Andy's content at theFieldCTO.com and on Twitter at @AndyThurai Date: 08/28/2020 Tags: @SFoskett, @AndyThurai

Due to Coronavirus the Australian property market in a marked period of uncertainty, we take an on-the-ground look at what’s happening within the broader lending market. This means diving into the world of bad debts as they relate to bank lending, developers, commercial and residential property to get an indication for just how great the Coronavirus toll could beIn today’s investment webinar, Nucleus Wealth’s Head of Investments Damien Klassen, and Head of Advice Tim Fuller are joined by Stephen Mitchell, CEO of private capital lender Oak Capital, and second-tier mortgage broker Resicom, to help test Australian Property for Coronavirus.Find Stephen at https://resicom.com.au/ and http://www.oakcapital.com.au/To listen in podcast form click here: https://nucleuswealth.com/podcasts/?utm_source=youtube&utm_medium=direct&utm_campaign=podcastGet an obligation-free portfolio recommendation to see how we would invest for you: https://portal.nucleuswealth.com/register/?utm_source=youtube&utm_medium=direct&utm_campaign=podcastLearn more about the hosts: https://nucleuswealth.com/people/?utm_source=youtube&utm_medium=direct&utm_campaign=podcastFind us on social media: https://www.facebook.com/NucleusWealth/ https://twitter.com/NucleusWealth https://linkedin.com/company/nucleuswealth Nucleus Wealth is an Australian Investment & Superannuation fund that can help you reach your financial goals through transparent, low cost, ethically tailored portfolios. To find out more head to https://nucleuswealth.com/?utm_source=youtube&utm_medium=direct&utm_campaign=podcast. The information on this podcast contains general information and does not take into account your personal objectives, financial situation or needs. Past performance is not an indication of future performance. Damien Klassen and Tim Fuller are an authorised representative of Nucleus Wealth Management. Nucleus Wealth is a business name of Nucleus Wealth Management Pty Ltd (ABN 54 614 386 266 ) and is a Corporate Authorised Representative of Nucleus Advice Pty Ltd - AFSL 515796#australianproperty #australianhousing

In this episode of The Ask Your Oldhead Podcast I am joined by Stephen Green. Founder of Pitch Black, teacher of many business development skills and a great connector of people. We get into family, entrepreneurship, community, and finance as you could expect if you are familiar with Stephen's work. Thank you Stephen for sharing some of your story. As always please take the best part for yourself.    Find Stephen here: Twitter: @PDXStephenG Instagram: @pdxstepheng   TedX Portland: https://youtu.be/abKBA9RvQ0I   Learn More about Stephen & Pitch Black here: https://blackandbrownfounders.com/pitchblack  Article  1 - https://pamplinmedia.com/but/239-news/436574-347500-pitch-black-holds-up-a-mirror-to-portland-pwoff Article 2 - https://socialcapitalmarkets.net/2019/03/pitchblack-founder-stephen-green/   Ask Your Oldhead is a creative project exploring modern manhood at the intersection of race, gender, culture, and class. We are specifically interested in capturing the stories of transition from child to young man to healthy adult. Please listen, rate, share, and subscribe. Peace   Support the Ask Your Oldhead Podcast by becoming a patron here. ← Click there.   Twitter: @justicerajee Instagram: @justicerajee https://www.facebook.com/oldhead.rajee/ www.askyouroldhead.com www.askyouroldhead.libsyn.com The Ask Your Oldhead Shop Leave a message: 971-206-4010   ©2020 Justice Rajee  

Former NBA player and current FOX Sports/BTN college basektball analyst Stephen Bardo joins in for this installment of Combos Court. Stephen shares his basketball journey and his shift into media. Combo asks Stephen which draft prospect he thinks will have the best NBA career and Stephen reveals a NBA draft prospect he thinks is flying under the radar. Stephen shares his thoughts on the 'Fair Pay to Play Act'. Plus more! Find Stephen on Instagram and Twitter @StephenBardo Find Combo on Instagram @OneTwoCombo

Ep. 231 - Stephen Moore, Trump Economic Adviser, (Heritage Foundation, Wall Street Journal, and Cato Inst.) joins Dave to discuss how bad the economic fallout will be as businesses shut down due to the Covid-19 pandemic. Will banks clampdown lending? How can we reopen the economy? What will the impact be on Election 2020? Why Donald Trump would be wise learning the lessons from Barak Obama's American Recovery and Reinvestment Act of 2009 and a couple of questions from Ricochet members. Find Stephen on Twitter at http://twitter.com/StephenMoore.https://youtu.be/w16E6IGdOV0Subscribe to Whiskey Politics on YouTube.Please Support #WhiskeyPolitics at http://paypal.me/mywhiskeypolitics. Cheers!Please subscribe to Whiskey Politics on YouTube, The Ricochet Audio Network and your favorite podcast application including TuneIn, GooglePlay, Stitcher, and Apple Podcast where your 5-star rating will be greatly appreciated!Find us at DaveSussman.com, Dave on Twitter, Whiskey Politics on Facebook, Dave Sussman Show on Facebook, and our newest platform, Maven.io.

Join DM Stephen and Wade, who plays Rook, as they sit alongside Joe of North by North Quest, DeWayne of Lawful stupid, and Adam of OneShot Onslaught and Halfway to Heroes. Moderated by Sarah of Roll Like a Girl. Find Stephen at: https://twitter.com/NQHpodcast or https://twitter.com/The_BadDM Find Wade at: https://twitter.com/NotQuiteWade Find Joe at: https://twitter.com/NxNQuest or https://twitter.com/RealityStorm Find DeWayne at: https://twitter.com/StupidLawful Find Adam at: https://twitter.com/1shotonslaught, https://twitter.com/HalfwayToHeroes, or https://twitter.com/adam_dewees Find Sarah at: https://twitter.com/rolllikeagirl

Join our DM Stephen as he sits alongside Therin of Roll Like a Girl, The Orc Zone, and International Podcasting Month, Oresan of Real Women of Gaming, Sekrain of The Nerd Asylum, and Ronnie of Suddenly Tabletop. Moderated by Neal, the GM of Suddenly Tabletop. Find Stephen at https://twitter.com/The_BadDM or https://twitter.com/NQHpodcast Find Therin at https://twitter.com/explosiverunes, https://twitter.com/rolllikeagirl, or https://twitter.com/theorczone Find Oresan at https://twitter.com/Oresan_Fells or https://twitter.com/RealWomenGaming Find Sekrain at https://twitter.com/TenochSekrain or https://twitter.com/thenerdasylum Find Ronnie and Neal at https://twitter.com/SuddenlyTables or https://twitter.com/RRozbox and https://twitter.com/NealSquared respectively.

On today's show Stephen Ruth aka Red Light Robin Hood joins John to blown the cover off of the life threatening red light camera cronyism.    Stephen is an activist who has fought back against the use of Red Light cameras. He's run for public office and he's not afraid to risk it all to advance the cause of liberty.    On this show you're going to learn what makes Stephen tick. Why is he so passionate about red light cameras and why are the powers that be so threatened by his challenge to expose red light camera cronyism.   Find Stephen on Facebook   Watch Stephen's videos on YouTube

The guys are joined by Stephen Kellogg to discuss Taylor Swift's award winning release 1989. Yep. That's right. Taylor Swift. Where else but Records Revisited would you hear three dads in their 40s and 50s talk about Taylor with minimal bad blood? Plenty of other discussion about Max Martin, Jack Antonoff, yogurt, advice for dads of teenagers, and discussion about SK's latest music. Find Stephen at: stephenkellogg.com

Follow the show on Twitter @ChalametChasing and on Instagram @ChasingChalamet. You can email us at chasingchalamet@gmail.com. Please consider leaving us a rating and a review on iTunes. Find Stephen on Twitter and Instagram @KropaCabana. This show was written, hosted, and produced by Dane McDonald. Find him on Twitter and Instagram @TheDaneMcDonald. Will Biby is our producer and editor, you can find him on Twitter and Instagram @willbiby. Our music is by Jacob Horn. Find more from him and the Jacob Horn Trio on Spotify, Apple Music, and Bandcamp.

Tonight we chat to Stephen Coghlan, author of the GENMOS series. We talk about the authoring process and dad duty. Find Stephen on Twitter: https://twitter.com/WordsBySC

Hello Beauties!  On this week’s episode of Beauty Bytes with Dr. Kay: Secrets of a Plastic Surgeon, I get a chance to talk to cosmetic chemist and blogger, Stephen Alan Ko! We became Instagram friends some time ago and I was immediately drawn to the way that he was paving the way for fellow skincare influencers. As someone with my own skincare line, I always enjoy getting to chat with chemists about the innovative products and ingredients that are showing up on store shelves today! Stephen tells me a little bit about the difference between Retinol and Retin-A, what it takes to start a skincare line, and the importance of sunscreen (of course!). We tell you the three skincare items we would take with us to a desert island and discuss the difference between chemical and physical sunscreen. If you’re a skincare junkie be sure to listen to this episode and don’t forget to e-mail a screenshot of your podcast review with mailing address to info@beautybydrkay.com for a special treat in the mail!  Find me on Instagram here! Find Stephen on Instagram here!  Find Stephen's blog, KindofStephen here!  Shop my fabulous skincare line here!

Hello Beauties!  On this week’s episode of Beauty Bytes with Dr. Kay: Secrets of a Plastic Surgeon, I get a chance to talk to cosmetic chemist and blogger, Stephen Alan Ko! We became Instagram friends some time ago and I was immediately drawn to the way that he was paving the way for fellow skincare influencers. As someone with my own skincare line, I always enjoy getting to chat with chemists about the innovative products and ingredients that are showing up on store shelves today! Stephen tells me a little bit about the difference between Retinol and Retin-A, what it takes to start a skincare line, and the importance of sunscreen (of course!). We tell you the three skincare items we would take with us to a desert island and discuss the difference between chemical and physical sunscreen. If you’re a skincare junkie be sure to listen to this episode and don’t forget to e-mail a screenshot of your podcast review with mailing address to info@beautybydrkay.com for a special treat in the mail!  Find me on Instagram [here](http://beautybydrkay.com)! Find Stephen on Instagram [here](http://instagram.com/kindofstephen)!  Find Stephen's blog, KindofStephen [here](https://kindofstephen.com)!  Shop my fabulous skincare line [here](https://www.beautybydrkay.com/shop-homepage/)!

We interview Stephen Brandt from the Yellow Card Podcast. We discuss how the Yellow Card Podcast got its start, Stephen's approach to podcasting, his fandom of LFC, and more. Find Stephen on Twitter here: https://twitter.com/StephenCBrandt Find the Yellow Card Podcast on Twitter here: https://twitter.com/yellowcardpod Listen to the Yellow Card Podcast here: http://www.blogtalkradio.com/ycp Visit the Bros Talking Soccer website: https://www.brostalkingsoccer.com/

On this weeks episode Ade and Graeme are joined by Anil Mistry and Stephen Dowling to talk about the current state of the point and shoot market, whether celebrity driven popularity is a problem, how to hunt for a bargain, and what are the best alternatives to the high priced "premium" cameras. We also hear what's happening at Kosmo Foto from Stephen, news from Dubble Film, and as a special treat there's a little call in from the Danger BoyZ at the very end! We spoil you, we really do :-)   Find Anil's work here: https://www.anilmistryphoto.com/ Find Stephen here: https://kosmofoto.com/  Dubble Film: https://www.dubblefilm.com/ Support the Danger BoyZ and see updates here: https://www.gofundme.com/tanky-mconeshot-documentary   Sign up for the meetup at the Photography Show at https://www.photowalk.me/photowalk/sunny-16-35mmc-photography-show-mega-analogue-meetup Buy your tickets to the show here: https://www.photographyshow.com/registration And use code : LVPTPS19 to get a 20% discount off an adult ticket.     Website: https://sunny16podcast.com  Twitter: https://twitter.com/sunny16podcast/ Instagram: https://www.instagram.com/sunny16podcast/ Facebook @sunny16podcast Email us - sunny16podcast@gmail.com You can buy us a cup of Tea over at https://www.ko-fi.com/sunny16podcast Music from ‘Promises I Should Have Kept’ by Roja on Spotify, Amazon or iTunes

We all inevitably have to deal with finances, savings, debt, and budgeting. Stephen has an incredible talent for breaking these down into simple steps that fit your situation and put you on the path towards the financial lifestyle you want.  Check out this episode for invaluable tips that will recalibrate your perspective on money and what it means for you!   Find Stephen at https://www.findyourmoneypath.com On Instagram @findyourmoneypath And on Facebook at https://www.facebook.com/findyourmoneypath   Connect with Curiosityness... Instagram:@curiositynesspodcast Website: https://www.curiosityness.com/ Facebook: @curiosityness Twitter: @curiositynesstv   And find me, the host of Curiosityness on Instagram: @travderose Or send me an email to travis@curiosityness.com

This week, we're talking about mastering your inner game with money so you can create an empowered relationship with money and attract more of it! To help us, Dan brought in his friend and America's life coach, Stephen Lovegrove! Stephen takes entrepreneurs, celebrities and world leaders to the next level. Over the next 40 minutes, he's going to drop so many nuggets of wisdom on you that could forever shift your money paradigm. Things we discuss include... - How to know if you're in avoidance attachment or anxious attachment when it comes to your relationship with money. - Why struggle is not required when it comes to building a healthy relationship and a wealthy bank account. - Where many of the stories we tell ourselves about money really come from. - Why shaming yourself for your past with money won't get you to a better space financially. - Why treating debt like a prison and punishing yourself for it isn't the right life approach. - Why you don't really have a debt problem as much as an income problem. - How adding the right income is the true way to building the best relationship with money. - Why harnessing your zone of genius brings you true wealth and prosperity in all aspects of your life. Find Stephen at AmericasLifeCoach.us and on Instagram @drlovegrove *********************************** Join the Life Amplified Power Tribe and talk to Dan about this week's episode: facebook.com/groups/lifeamplified Learn more about Dan and how he can help you add more purpose, fulfillment, and joy in ALL aspects of your life at creativesoulcoaching.net Be social with Dan on Instagram and Twitter: @CSCDanMason Learn more about your ad-choices at https://news.iheart.com/podcast-advertisers

A rare condition called Misophonia threatened to ruin Stephen Thrifts chances at a happy life and has also played a part in helping him find his purpose. Raised in a home with parents in conflict, he experienced extreme bullying at school which he told no one about due to his embarrassment at being a victim. His later marriage developed into a volatile relationship leading to divorce, leaving him so distraught he drank heavily and experienced suicidal ideation. Join me as I discuss how he moved forward to create a great life only to discover he was suffering from a rare condition, Misophonia, literally the ‘hatred of sounds’ with symptoms of irritability and an inability to remain in crowded and noisy places for long. This led to losing jobs and needing to change his entire life around to ensure he manages his condition. Find Stephen and his inspirational career coaching work at stephenthrift.co.uk

The guys sit down with Singer/Song Writer/Producer's Stephen Voyce and Kay L to talk about their music career and life. Find Stephen on Instagram (at) stephenvoyce or http://voycemusic.com/ Find Kay L on Instagram (at) kaylmusic

The guys sit down with restaurateur and owner of Modern Steak, Stephen Deere, to talk meat, music and what its like running a restaurant in Calgary. Find Stephen and Modern Steak across social media accounts at modernsteakca as well as http://www.modernsteak.ca

Stephen Lovegrove is #AmericasLifeCoach, helping entrepreneurs, celebrities, and world leaders reach the next level. He's the author of the book "How to Find Yourself, Love Yourself, and Be Yourself." Some of the topics we cover in this discussion are: Stephen's journey to self-love and acceptance after being raised in a fundamentalist religious cult. How to dismantle fear based thoughts and find love for yourself and the people around you. The importance of fighting for your truth and why many people wait until later in life to do it. Why the traumatic memories you are most afraid of will ultimately lead you to emotional freedom. The #1 action step you can take to honor your truth and be yourself starting now. Find Stephen online at StephenLovegrove.Us Find Dan online at www.creativesoulcoaching.net Connect with Dan on Facebook.com/CSoulCoaching or Instagram and twitter @CSCDanMason Learn more about your ad-choices at https://news.iheart.com/podcast-advertisers

Author Stephen Hogg joins us to discuss how we can make the most out of our banks and how to tackle the often intimidating world of personal finance plus the new book "Naked Banking" Find Stephen https://www.linkedin.com/in/stephen-hogg-505b808/ https://www.amazon.co.uk/Naked-Banking-Truth-About-Banks-ebook/dp/B0769XWJMH/ref=sr_1_1?s=digital-text&ie=UTF8&qid=1507812617&sr=1-1&keywords=naked+banking The Chemical History of a Candle https://www.amazon.co.uk/Chemical-History-Candle-Michael-Faraday/dp/1463704992/ref=sr_1_5?ie=UTF8&qid=1507811858&sr=8-5&keywords=michael+faraday

Today, Stephen asks for advice about answering comments and questions from his followers. He has grown to a point in his business where it would be a full-time job to reply to everyone. What is the best plan of action for dealing with all of these comments and questions? Find Stephen online at http://www.fulltimefba.com/ Do you have a question about public relations? Record it at http://www.askpat.com/.