Logo
    Search

    Podcast Summary

    • Innovative use of AI in healthcare by Doctor Harvey CastroDoctor Harvey Castro, an expert in AI and healthcare, discusses his pioneering work in creating healthcare apps and his innovative perspective on how AI will revolutionize healthcare, making it more efficient and effective.

      Doctor Harvey Castro, a repeat guest on the Everyday AI Show, has made a name for himself as a leader in the field of AI and healthcare through his innovative use of technology. Starting with the creation of the first IV meds app on the iPhone, he has since grown a company into 30 different apps. More recently, he was inspired by ChatGPT and wrote a book on how AI will revolutionize healthcare. He believes that AI will help doctors and patients in significant ways, making healthcare more efficient and effective. The future of healthcare with AI is a topic of great excitement for Harvey, and he looks forward to continuing to be at the forefront of this transformative technology. If you're interested in AI and healthcare, this episode is a must-listen for insights from an industry expert.

    • Integration of AI in healthcare industryMicrosoft, OpenAI, and Epic collaborate to integrate AI summaries into electronic medical records, paving the way for FDA approval and new healthcare products using APIs. AI's use in healthcare for drug discovery, protein identification, and early disease detection continues to grow.

      The integration of AI in the medical community is a significant milestone and is expected to pave the way for new advancements and innovations. The collaboration between Microsoft, OpenAI, and Epic to integrate AI summaries into electronic medical records is a major step towards FDA approval and the creation of new healthcare products using APIs. The medical field has been ahead of the curve in utilizing AI for discovering new drugs, proteins, and early disease detection. Looking forward, the use of AI in healthcare is expected to continue gaining momentum, despite the traditional nature of the industry. The integration of AI into everyday medical practices has the potential to revolutionize patient care and improve overall healthcare outcomes.

    • AI transforming healthcareAI will revolutionize healthcare through real-time visualization, simplified medical instructions, and cultural translations.

      The future of healthcare is going to be significantly transformed by the integration of AI technology. Doctors, who have traditionally been resistant to change, are now facing a paradigm shift as AI begins to augment their capabilities. This transformation will manifest in various ways, such as augmented reality glasses that allow doctors and patients to visualize medical records and explanations in real-time, or AI-powered mobile devices that can translate complex medical information into understandable language and culture-specific examples. Another example is the use of AI to simplify complex medical instructions for children by converting discharge instructions into coloring books. The possibilities are endless, and the integration of AI in healthcare is set to revolutionize the way we receive and understand medical information. The speaker also mentioned his excitement about contributing to the use of AI in NASA's Mars mission.

    • AI in Nursing: Assisting with Tasks and Analyzing DataAI integration in nursing could help address workforce challenges, improve patient care, reduce burnout, and increase efficiency through task assistance and data analysis.

      AI is poised to revolutionize the healthcare industry, specifically in the area of nursing, where an aging workforce is becoming a significant challenge. Dr. Harvey Castro, an expert in AI and healthcare, believes that the integration of advanced AI systems like ChatGPT and robots in nursing roles could help address this issue by assisting nurses with tasks, analyzing patient data, and even functioning as virtual assistants. This could potentially improve patient care, reduce burnout, and increase efficiency. However, some in the medical community may be skeptical about the implementation of such technology, fearing job replacement. Nonetheless, Dr. Castro is confident that this trend is coming and encourages healthcare professionals to embrace the change. This could mark a significant shift in the way healthcare is delivered, making it more accessible and efficient for patients.

    • AI in healthcare: Balancing benefits and concernsAI integration in healthcare offers benefits like patient data management and addressing the nursing shortage, but also raises concerns over privacy and data security. Future solutions may involve hospital-specific language models for improved privacy.

      The integration of AI in healthcare is becoming increasingly accepted, especially in addressing issues like patient data management and physician burnout. The ongoing nursing shortage and the limited availability of human healthcare professionals underscore the need for AI as a first line of defense for accessible and affordable healthcare. However, concerns regarding privacy and data security remain a significant challenge. The future of AI in healthcare may involve the creation of hospital-specific large language models, allowing for local use and improved privacy. The adoption of such tools is expected to continue, making it easier for administrators to accept and implement AI solutions in healthcare. Llama, a model from Meta, is an example of this trend, offering local use capabilities to alleviate privacy concerns. Overall, the integration of AI in healthcare is a complex issue with significant potential benefits, but also requires careful consideration and implementation to address privacy and data security concerns.

    • Navigating HIPAA regulations in AI healthcare integrationDespite challenges from HIPAA regulations, some companies are finding ways to integrate AI into healthcare by focusing on non-triggering data or keeping it within hospital systems. Tech giants like Microsoft and potential acquisitions by Google and OpenAI could also impact the industry.

      The integration of AI into healthcare faces significant challenges due to HIPAA regulations. The potential consequences of HIPAA violations, including hefty fines and even jail time, make companies cautious about handling sensitive health data. However, some companies are finding ways to navigate these challenges by focusing on specific parts of the data that don't contain the 18 identifiers that trigger HIPAA regulations. Another approach is to keep the data within the hospital system's infrastructure, ensuring that it never leaves. As for the future, it's possible that tech companies like OpenAI or Google could acquire healthcare companies to gain access to their data and technology, potentially becoming major players in the healthcare industry. Microsoft, with its acquisitions and strategic partnerships, is also making moves to strengthen its position in this space. Overall, the integration of AI into healthcare is a complex issue that requires careful navigation of HIPAA regulations and strategic partnerships.

    • Expert in AI and healthcare using AI to make a differenceDr. Castro uses AI to create accessible content, develop decision-making tools, and enhance processes in healthcare and other industries, emphasizing ethical considerations.

      Dr. Castro, an expert in AI and healthcare, is passionate about using AI to help others and make a difference in various industries, including healthcare. He creates content, such as the GPT podcast, which uses AI to generate conversations and summarize information, making it accessible to a wider audience. Additionally, he has developed a decision-making plugin called Decision Maker, which uses AI to assist with making decisions in various fields, from marketing to healthcare. Dr. Castro's work showcases the potential of AI to enhance and streamline processes, and he is excited about the future of AI and its potential impact on healthcare and other industries. He also emphasizes the importance of ethical considerations when implementing AI technology. Overall, Dr. Castro's work demonstrates the power of AI to help solve real-world problems and improve people's lives.

    • AI self-diagnosis: Convenient but riskyWhile AI tools like ChatGPT can provide convenient self-diagnosis, they come with risks, especially in healthcare. Misdiagnosis can lead to harmful consequences, so consult professionals before making medical decisions. Transparency, trust, and healthcare-specific AI models are crucial to maintain accuracy and confidence.

      While self-diagnosis using AI tools like ChatGPT can be convenient, it comes with significant risks, especially outside of the medical field. Misdiagnosis can lead to harmful consequences, and it's crucial to consult with healthcare professionals before making any medical decisions. Additionally, transparency and trust are essential in building confidence in AI's role in healthcare. This can be achieved by providing clear labels and information about the data and biases used in AI models, as well as having healthcare-specific AI models trained and vetted by medical professionals. Furthermore, the rise of personalized health data, such as Apple's offerings, presents an opportunity to further integrate AI into healthcare while maintaining accuracy and trust.

    • Personalized healthcare through AI and digital twinsAI and digital twins are revolutionizing healthcare by enabling personalized treatments based on individual health data, potentially reducing costs and improving patient outcomes

      The future of healthcare is heading towards personalized, data-driven treatments fueled by advanced technologies like AI and digital twins. Companies like Apple are already leading the way by providing consumers with vast amounts of health data from their devices. This data, including genomic information, can be used to create digital twins, enabling doctors to design custom drugs and diets for individual patients. The use of AI can also significantly reduce the cost of creating these drugs. Despite potential legal barriers, the future may hold ethical debates and waivers for accessing and utilizing this data for healthcare applications. Surprisingly, countries with less access to healthcare may adopt these technologies more quickly due to their unique circumstances. This shift towards personalized healthcare holds immense potential for improving patient outcomes and revolutionizing the industry.

    • AI revolutionizing healthcare in resource-limited settingsAI's small, efficient models can be installed on devices, enabling local processing and providing CPR instructions through AR in emergencies, potentially transforming healthcare in remote areas

      AI is poised to revolutionize healthcare, even in resource-limited settings where electronic record systems are not in place. With large language models like Llama becoming smaller and more efficient, they can be installed directly on devices, such as smartphones, allowing for local processing and eliminating the need to upload data to the internet or send information to companies. This could lead to significant advancements in healthcare, such as providing CPR instructions through augmented reality in emergency situations, regardless of location. Additionally, some individuals may be open to sharing their medical data for faster, more accessible care, although privacy concerns remain. The potential for AI to transform healthcare is vast, and its impact could be felt in even the most remote areas.

    • Considering healthcare abroad due to high costs and lack of regulations in the USStay informed about AI in healthcare, become a lifelong learner, and share knowledge to improve access and affordability for all.

      The high cost of healthcare in the US and the slow moving healthcare system have led some people to consider traveling to other countries for more affordable and accessible healthcare. This issue is particularly pressing when it comes to the use of AI in healthcare, as the US is currently the only country without strict regulations. Dr. Harvey Castro, a guest on the show, believes that this trend could continue and that it's important for individuals and the medical community to stay educated about AI and healthcare. His advice is to become a lifelong learner and to share knowledge with others. He emphasized the importance of accurate and complete information, as there is a lot of incomplete information out there. By staying informed and helping others, we can all contribute to improving healthcare for everyone. Don't forget to sign up for the newsletter at everydayai.com for more resources on this topic.

    • Engage in the AI community for learning and networkingJoin conversations on LinkedIn, subscribe to podcasts, and sign up for newsletters to expand your knowledge and build connections in the AI industry

      Learning from this episode of Everyday AI is the importance of engagement and networking in the field of artificial intelligence. Dr. Castro, a prominent figure in the industry, encourages listeners to join the conversation on LinkedIn and ask questions. He is known for his active participation, knowledge sharing, and bringing people together. This not only helps in learning but also in building connections within the community. Additionally, the hosts encourage listeners to subscribe to their podcast, leave ratings, and visit their website, everydayai.com, to sign up for their daily newsletter. These actions not only support the show but also help keep you updated with the latest AI news and trends. In essence, engaging in the AI community, whether through social media, podcasts, or newsletters, can open doors to new opportunities and expand your knowledge. So, go ahead, break some barriers, and join the conversation!

    Recent Episodes from Everyday AI Podcast – An AI and ChatGPT Podcast

    EP 284: Building A Human-Led, AI-Enhanced Justice System

    EP 284: Building A Human-Led, AI-Enhanced Justice System

    Send Everyday AI and Jordan a text message

    When we talk about AI, it's always about efficiency, more tasks, more growth. But when it comes to the legal system, can AI help law firms with impact and not just efficiency? Evyatar Ben Artzi, CEO and Co-Founder of Darrow,  joins us to discuss how AI can enhance the legal landscape.

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion: Ask Jordan and Evyatar questions on AI in the justice system

    Related Episode: Ep 140: How AI Will Transform The Business of Law

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Use of generative AI in the legal system
    2. Use of LLMs in the legal system
    3. AI's impact on efficiency in the legal industry

    Timestamps:
    01:20 Daily AI news
    04:35 About Evyatar and Darrow
    06:16 Challenges accessing information for lawyers
    09:27 AI efficiency movement is responsible for workload.
    10:24 AI revolutionizing legal world for success.
    16:51 Efficiency affects law firm's ability to bill.
    21:30 Improving mental health in legal profession with agility.
    26:55 Loss of online communities raises concerns about memory.
    27:58 Law firms pursuing right to be remembered.

    Keywords:
    Generative AI, Legal System, Impact, Efficiency, AI News, Perplexity AI, Ultra Accelerator Link, NVIDIA, Apple, OpenAI, Siri, GPT Technology, Evyatar Ben Artzi, Darrow, Justice Intelligence Platform, Case Analysis, Herbicides, Pesticides, Cancer Rates, Large Language Models, ChatGPT, Right to be Remembered, Internet Deletion Practices, Fortune 500 Companies, Legal Industry, Billable Hours, Strategic Thinking, Legal Development, Mental Health, Multiverse in Law.

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

    EP 283: WWT's Jim Kavanaugh GenAI Roadmap for Business Success

    EP 283: WWT's Jim Kavanaugh GenAI Roadmap for Business Success

    Send Everyday AI and Jordan a text message

    Businesses are working out how to use GenAI in the best way. One company that's acing it? World Wide Technology. WWT's CEO, Jim Kavanaugh, is sharing their plan for implementing GenAI into business smoothly.

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion: Ask Jordan and Jim questions on GenAI

    Related Episodes:
    Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
    Ep 146: IBM Leader Talks Infusing GenAI in Enterprise Workflows for Big Wins

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Impact of Generative AI
    2. Role of GenAI in World Wide Technology
    3. AI Adoption for Business Leaders
    4. Large Language Models and AI Impact
    5. Challenges in the Generative AI Space
    6. Organization Culture and AI Implementation

    Timestamps:
    01:30 About WWT and Jim Kavanaugh
    06:59 Connecting with users for effective AI.
    10:06 Advantage of working with NVIDIA for digital transformation.
    13:10 Discussing techniques and client example.
    18:35 CEOs implementing AI, seeking solutions.
    20:46 Creating awareness, training, and leveraging technology efficiently.
    25:27 AI increasingly important, impacts all industries' outcomes.
    27:18 Use secure, personalized language models for efficiency.
    32:32 Streamlining data access for engineers and sales.
    35:42 CEOs need to prioritize technology and innovation.
    37:02 NVIDIA is the game-changing leader.

    Keywords:
    generative AI, challenges of AI implementation, Jim Kavanaugh, CEO, Worldwide Technology, digital transformation, value-added reseller, professional services, comprehensive solution, AI strategies, NVIDIA, OpenAI's ChatGPT, large language models, GenAI, Advanced Technology Center, data aggregation, real-time data access, intelligent prompts, business leaders, AI technologies, data science, Jensen and NVIDIA, multimodal languages, AI-first organization, financial performance, go-to-market strategies, software development efficiency, RFP process

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

    EP 282: AI’s Role in Scam Detection and Prevention

    EP 282: AI’s Role in Scam Detection and Prevention

    Send Everyday AI and Jordan a text message

    If you think you know scammers, just wait.
     
    ↳ Voice cloning will fool the best of us.
    ↳ Deepfakes are getting sophisticated.
    ↳ Once-scammy emails now sound real.
     
    How can AI help? In a lot of ways. Yuri Dvoinos, Chief Innovation Officer at Aura, joins us to discuss AI's role in scam detection and prevention.
     
    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode page
    Join the discussion: Ask Jordan and Yuri questions on AI and scam detection

    Related Episodes: Ep 182: AI Efficiencies in Cyber – A Double-Edged Sword
    Ep 202: The Holy Grail of AI Mass Adoption – Governance

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Sophistication of AI in Scams
    2. Countermeasures to Combat AI Scams
    3. Deepfakes and Their Increasing Prevalence

    Timestamps:
    01:20 Daily AI news
    04:45 About Yuri and Aura
    07:32 Growing impact of impersonation and trust hacking.
    12:35 Consumer app with state-of-the-art protection.
    13:48 New technology scans emails to protect users.
    19:36 Need for awareness of sophisticated multi-platform scams.
    20:33 Be cautious of potential multichannel scams
    26:44 Scams are getting sophisticated, AI may worsen.
    30:05 Different organizations need varying levels of security.
    31:25 Deepfakes raise concerns about truth and trust.
    34:47 It's hard to detect scam communication online.

    Keywords:
    AI Scams, Jordan Wilson, Yuri Dvoinos, Deepfakes, AI Technology, Verification System, Online Interactions, Cyberattacks, Business Security, Scam Detection, Communication Channel Verification, Language Models, AI impersonation, Small Business Scams, Scammer Automation, Aura, Message Protection Technology, Call Analysis, Email Scanning, Voice Synthesizer Technology, Multichannel Scams, 2FA, Cybersecurity Training, Digital Trust, Cybersecurity, Sophisticated Corporate Scams, OpenAI, NVIDIA, Aura Cybersecurity Company, Online Safety.

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

    EP 281: Elon Musk says AI will make jobs 'optional' – Crazy or correct?

    EP 281: Elon Musk says AI will make jobs 'optional' – Crazy or correct?

    Send Everyday AI and Jordan a text message

    Will AI make jobs... optional? Elon Musk seems to think so. His comments struck a chord with some. And rightfully so. As polarizing as Elon Musk can be, does he have a point? Let's break it down.
     
    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode page
    Join the discussion: Ask Jordan questions on AI and jobs

    Related Episodes: Ep 258: Will AI Take Our Jobs? Our answer might surprise you.
    Ep 222: The Dispersion of AI Jobs Across the U.S. – Why it matters

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Elon Musk's statement and its implications
    2. Future of work with AI advancements
    3. AI's impact on human purpose and employment
    4. Job displacement and AI investment over human employment

    Timestamps:
    01:40 Daily AI news
    07:47 Exploring the implications of generative AI.
    10:45 Concerns about AI impact on future jobs
    13:20 Elon Musk's track record: genius or random?
    17:57 Twitter's value drops 72% to $12.5B.
    22:34 Elon Musk predicts 80% chance of job automation.
    25:54 AI advancements may require universal basic income.
    29:03 AI systems rapidly advancing, surpassing previous capabilities.
    32:11 Bill Gates worries about AGI's misuse.
    35:04 AI advancements foreshadowing future efficiency and capabilities.
    39:42 Ultra-wealthy and disconnected elite shaping AI future.
    43:32 AI will dominate future work, requiring adaptation.
    46:19 US government may not understand future of work.

    Keywords:
    Elon Musk, AI, XAI, funding, chatbot, Grok, OpenAI, legal battle, Apple, Siri, integration, core apps, model, capabilities, safety, speculation, future, work, Tesla, market cap, value, investor sentiment, vision, promises, performance, Viva Tech, conference, robots, job market, society, purpose.

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

    EP 280: GenAI for Business - A 5-Step Beginner's Guide

    EP 280: GenAI for Business - A 5-Step Beginner's Guide

    Send Everyday AI and Jordan a text message

    Everyone is trying to wrap their heads around how to get GenAI into their business. We've had chats with over 120 experts and leaders from around the globe, including big companies, startups, and entrepreneurs. We're here to give you the lowdown on how you can start using GenAI in your business today.

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode page
    Join the discussion: Ask Jordan questions on AI

    Related Episodes:Ep 189: The One Biggest ROI of GenAI
    Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. AI in Business
    2. Implementing AI
    3. AI Guidelines and Guardrails
    4. Practical Application of AI

    Timestamps:
    02:00 Daily AI news
    06:20 Experienced in growing companies of all sizes
    11:45 AI not fully implemented yet
    19:13 Generative AI changing workforce dynamics, impact discussion.
    21:32 Rapidly adapt to online business, seek guidance.
    31:19 AI guardrails and guidelines
    34:25 Companies overcomplicating generative AI, driven by peer pressure.
    37:45 Focus on measurable impact in AI projects.
    45:17 Leverage vendors and experts for AI education.
    51:48 AI may replace jobs - plan for future.
    54:48 Ethical AI implementation involves human and AI cooperation.
    01:00:42 Culmination of extensive work to simplify generative AI.

    Keywords:
    AI training, Employee education, Generative AI tools, Communication skills, Job displacement, AI implementation, Business ethics, AI in business, Guidelines for AI, Data Privacy, AI statistics, Transparency in AI, Bottom-up approach,  AI impact on work, Everyday AI Show

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

    EP 279: Google’s New AI Updates from I/O: the good, the bad, and the WTF

    EP 279: Google’s New AI Updates from I/O: the good, the bad, and the WTF

    Send Everyday AI and Jordan a text message

    Did Google say 'AI' too many times at their I/O conference? But real talk – it's hard to make sense of all of Google's announcements. With so many new products, updated functionality, and new LLM capabilities, how can you make sense of it all?  Oh.... that's what we're for.

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion: Ask Jordan questions on Google AI

    Related Episode:  Ep 204: Google Gemini Advanced – 7 things you need to know

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Google's Updates and Announcements
    2. Google AI Evaluations
    3. Concerns Over Google's AI Development and Marketing

    Timestamps:
    01:30 Daily AI news
    05:30 What was announced at Google's I/O
    09:31 Microsoft and Google introduce AI for teams.
    12:38 AI features not available for paid accounts.
    16:12 Doubt Google's claims about their Gemini model.
    19:26 Speaker live-drew with Pixel phone, discussed code.
    22:24 Exciting city scene, impressive Vio and Astra.
    24:44 Gems and GPTs changing interactions with language models.
    29:26 Accessing advanced features requires technical know-how.
    33:45 Concerns about availability and timing of Google's features.
    36:14 Google CEO makes joke about overusing buzzwords.
    41:06 Google Gems: A needed improvement for Google Gemini.
    41:50 GPT 4 ranks 4th behind Windows Copilot.

    Keywords:
    Google IO conference, AI updates, NVIDIA revenue growth, Meta acquisition, Adapt AI startup, OpenAI deal, News Corp, Project Astra, Gemini AI agent, Gemini 1.5 pro, Ask photos powered by Gemini, Gemini Nano, Android 15, GEMS, Google AI teammate, Microsoft team copilot, Google Workspace, Google search, Veo, Imagine 3, Lyria, Google's AI music generator, Wyclef Jean, Large language models, GPT 4.0, Google Gemini, AI marketing tactics, Deceptive marketing, Discoverability issues, Branding issues.

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

    EP 278: Microsoft Build AI Recap - 5 things you need to know

    EP 278: Microsoft Build AI Recap - 5 things you need to know

    Send Everyday AI and Jordan a text message

    To end a week-ish full of AI happenings, Microsoft has thrown all kinds of monkey wrenches into the GenAI race. What did they announce at their Microsoft Build conference? And how might it impact you? Our last takeaway may surprise you.

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion: Ask Jordan questions on Microsoft AI

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Microsoft Build Conference Key AI Features
    2. Microsoft Copilot Updates
    3. On-device AI and its future

    Timestamps:
    01:50 Startup Humane seeks sale amid product criticism.
    09:00 Using Copilot increases latency and potential errors.
    11:15 Copilot changing work with edge AI technology.
    13:51 Cloud may be more secure than personal devices.
    19:26 Recall technology may change required worker skills.
    20:24 Semantic search understands context, improving productivity.
    28:41 Impressive integration of GPT-4 in Copilot demo.
    31:41 New Copilot technology changes how we work.
    36:13 Customize and deploy AI agent to automate tasks.
    38:08 Uncertainty ahead for enterprise companies, especially Apple.
    46:09 Recap of 5 key announcements from build conference.

    Keywords:
    Microsoft CEO, Satya Nadella, Copilot stack, personal Copilot, team's Copilot, Copilot agents, Copilot Studio, Apple ecosystem, enterprise companies, Microsoft Teams, OpenAI, Jordan Wilson, Microsoft Build Conference, edge AI, Copilot Plus PC, recall feature, gpt4o capabilities, iPhone users, AI technology, data privacy and security, GPT 4 o desktop app, AI systems, recall, mainstream AI agents, Humane AI, Scarlett Johansson, ChatGPT, Anthropic Claude, COPilot Studio Agent, Microsoft product.

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

    EP 277: How Nonprofits Can Benefit From Responsible AI

    EP 277: How Nonprofits Can Benefit From Responsible AI

    Send Everyday AI and Jordan a text message

    Generative AI offers significant benefits to nonprofits. What obstacles do they encounter, and how can they utilize this innovative technology while safeguarding donor information and upholding trust with stakeholders? Nathan Chappell, Chief AI Officer at DonorSearch AI, joins us to explore the responsible use of AI in the nonprofit sector.

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode page
    Join the discussion: Ask Jordan and Nathan questions on AI and nonprofits

    Related Episodes:
    Ep 105: AI in Fundraising – Building Trust with Stakeholders
    Ep 148: Safer AI – Why we all need ethical AI tools we can trust

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Timestamps:
    01:50 About Nathan and DonorSearch AI
    05:52 Decreased charity giving, AI aids nonprofit efficiency.
    09:39 AI enhances nonprofit efficiency, prioritizes human connections.
    13:35 Nonprofits need to embrace AI for advancement.
    16:22 Use AI to create engagement stories, scalable.
    18:59 Internet equalized access to computing power.
    25:02 Nonprofits rely on trust, need responsible AI.
    29:52 Ensuring trust and accountability in generative AI.
    33:35 AI is about people leveling up work.
    34:16 Daily exposure to new tech terms essential.

    Topics Covered in This Episode:
    1. Impact of Generative AI for Nonprofits
    2. Digital Divide in Nonprofit Sector
    3. Role of Trust in Nonprofits and responsible AI usage
    4. Traditional Fundraising vs. generative AI
    5. Future of AI in Nonprofits

    Keywords:
    Nonprofits, generative AI, ethical use of AI, Jordan Wilson, Nathan Chappell, DonorSearch AI, algorithm, gratitude, machine learning, digital divide, AI employment impact, inequality, LinkedIn growth, Taplio, trust, Fundraising AI, responsible AI, AI explainability, AI accountability, AI transparency, future of nonprofits, AI adaptation, predictive AI, personalization, data for donors, generosity indicator, precision and personalization, AI efficiency, human-to-human interaction, AI tools.

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

    EP 276: AI News That Matters - May 20th, 2024

    EP 276: AI News That Matters - May 20th, 2024

    Send Everyday AI and Jordan a text message

    OpenAI and Reddit’s data partnership, will Google’s AI plays help them catch ChatGPT, and what’s next for Microsoft?  Here's this week's AI News That Matters!

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion: Ask Jordan questions on AI

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Key Partnerships and Deals in AI
    2. Google's New AI Developments
    3. Microsoft's Upcoming Developer Conference
    4. Apple's Future AI Implementation

    Timestamps:
    02:00 Reddit partners with OpenAI for AI training, content.
    04:28 Large companies lack transparency in model training.
    06:58 Reddit becoming preferred search over Google, value in partnerships.
    12:08 OpenAI announced GPT 4 o and new feature.
    14:48 Google announced live smart assistance, leveraging AI.
    18:19 Customize data/files, tap into APIs, virtual teammate.
    21:06 Impressed by Google's new products and features.
    26:33 Apple to use OpenAI for generative AI.
    29:08 Speculation around AI safety, resignation raises questions.
    32:22 Concerns about OpenAI employees leaving is significant.
    34:20 Google and Microsoft announce AI developments, drama at OpenAI.

    Keywords:
    Jan Leakey, smarter than human machines, Reddit, OpenAI, data deal, model training, Google, AI project Astra, Microsoft's Build developer conference, AI developments, Apple partnership, safety concerns, everydayai.com, Ask Photos, Gemini Nano, Android 15, AI powered search, Gemini AI assistant, Google AI teammate, Microsoft developer conference, Copilot AI, AI PCs, Intel, Qualcomm, AMD, Seattle, Jordan Wilson, personal data, Reddit partnership, Google IO conference.

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

    EP 275: Be prepared to ChatGPT your competition before they ChatGPT you

    EP 275: Be prepared to ChatGPT your competition before they ChatGPT you

    Send Everyday AI and Jordan a text message

    If you're not gonna use AI, your competition is. And they might crush you. Or, they might ChatGPT you. Barak Turovsky, VP of AI at Cisco, gives us the best ways to think about Generative AI and how to implement it. 

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion: Ask Jordan and Barak questions on ChatGPT

    Related Episodes: Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
    Ep 246: No that’s not how ChatGPT works. A guide on who to trust around LLMs

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Large Language Models (LLMs) and Business Competitiveness
    2. Understanding LLMs for Small to Medium-Sized Businesses
    3. Use Cases and Misconceptions of AI
    4. Data Security and Privacy

    Timestamps:
    01:35 About Barak and Cisco
    05:44 AI innovation concentrated in big tech companies.
    07:14 Large language models can revolutionize customer interactions.
    12:01 ChatGPT fluency doesn't guarantee accurate information.
    13:41 Considering use cases over two dimensions
    18:16 OLM is good fit for specific industries.
    21:17 Emphasizing the importance of large language models.
    23:20 Maintaining control over unique AI model elements.
    28:50 Questioning the data use in large models.
    31:27 Barak discusses leveraging AI for various use cases.
    33:50 Industry leader shared great insights on AI.

    Keywords:
    AI, Large Language Models, Jordan Wilson, Barak Turovsky, Cisco, Google Translate, Transformer Technology, Generative AI, Democratization of Access, Customer Satisfaction, Business Productivity, Business Disruption, Internet Search, Sales Decks, Scalable Businesses, Fluency-Accuracy Misconception, AI Use Cases, Data Privacy, Data Security, Model Distillation, Domain-Specific AI Models, Small AI Models, Gargantuan AI Models, Data Leverage, AI for Enterprises, Data Selling, Entertainment Use Case, Business Growth, Professional Upskilling, AI Newsletter.

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

    Related Episodes

    EP 22: Using AI in Medical Education

    EP 22: Using AI in Medical Education

    With the convergence of healthcare and machine intelligence, the future of medicine is looking more promising than ever before.

    Ryan Martin, Doctor of Physical Therapy at MSK Ultrasound,  joins us as we explore the latest advancements in AI and its integration into medical education. From reducing physician burnout to enhancing patient care, we'll dive deep into the world of AI and how it's shaping the healthcare industry. Don't miss this exciting opportunity to learn about the cutting-edge technologies transforming medical education as we know it!

    Time Stamps:
    [00:00:54] AI Power Ads and Copilot: Latest AI News

    [00:04:30] Stopping AI Altogether: A Difficult Feat?

    [00:06:36] Ryan's Role in the Medical Industry

    [00:07:46] Medical field not utilizing generative language tools

    [00:12:40] AI and Adaptive Learning: Transforming Healthcare and Education

    [00:17:54] Transparency in AI: Building Trust with Patients

    [00:21:56] Revolutionizing Medical Education: Changes in Responsibilities

    [00:24:20] The Cautions of New Medical Technology


    For full show notes. head to YourEverydayAI.com


    Topics Covered in This Podcast Episode:


    Topic: Integration of AI in healthcare and education systems

    - AI tools are expected to reduce burnout in healthcare
    - Adaptive learning tailors AI to specific student needs
    - AR/VR can be used with AI for immersive learning experiences
    - Distance learning with AI assistance can be useful for collaborative learning

    Topic: EMR systems in healthcare
    - Big EMR systems face bureaucratic regulations and government policies
    - Specific EMRs are using generative language/algorithm models to simplify patient documentation
    - Smaller EMRs, such as Ezpt, are already using AI

    Topic: Speaker's experiences and expertise
    - Speaker is a physical therapist and ultrasound specialist
    - Uses various tools for day-to-day tasks, open to implementing AI in the future
    - Education setting offers more potential for AI integration

    Topic: AI governance and regulation
    - Stopping AI altogether may be difficult
    - The impact on clinician-patient interaction comes down to transparency and communication
    - Educating healthcare clinicians on AI can help build trust with patients

    Topic: Latest news in AI
    - Google has launched AI Power Ads and images in Bard
    - Chat GPT now allows browsing inside with Microsoft Bing
    - Microsoft's Copilot AI will bring smart AI to the Windows operating system.

    Keywords:
    AI, healthcare, education systems, burnout, adaptive learning, student needs, AR, VR, immersive learning, distance learning, collaborative learning, EMR systems, patient data, bureaucratic regulations, generative language, algorithm models, Ezpt, medical field, technology integration, physical therapy, ultrasound specialist, MSK ultrasound, WHO, Chat GPT, governance, regulation, full automation, clinician-patient interaction, communication, trust, treatment plans, AI Power Ads, Microsoft Copilot, Windows operating system.

    Vice Chair and President of Microsoft: AI and Geopolitics

    Vice Chair and President of Microsoft: AI and Geopolitics

    How should we regulate AI? How will AI impact the power balance between the US and China? And how does Microsoft navigate this complex landscape?

    In this episode, Brad Smith Vice Chair and President of Microsoft, shares his unique insights on these questions and more. We are also joined by Ulf Sverdrup, the leader of the Norwegian Institute of International Affairs, who will be offering his commentary. Ulf is a world-leading expert in international politics, making him the perfect guest for a discussion on the intersection of AI and geopolitics. We will be releasing this episode in collaboration with NUPI PODCAST: The world stage | NUPI


    This episode was produced by PLAN-B’s Nikolai Ovenberg and Niklas Figenschaug Johansen. Background research was conducted by Sigurd Brekke, with input from portfolio manager Richard Green.



    Hosted on Acast. See acast.com/privacy for more information.


    EP 199: Maximizing The Effectiveness of AI in Health Care

    EP 199: Maximizing The Effectiveness of AI in Health Care

    How can the medical field fully maximize the effectiveness of AI? The advancements of AI in Health Care are already revolutionizing the tech used and the care we receive. Jesse Ehrenfeld, MD, MPH, President of the American Medical Association, joins us to talk about AI's impact on Health Care.

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode page
    Join the discussion: Ask Jordan and Jesse questions on AI in Health Care
    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Timestamps:
    01:20 Daily AI news
    04:00 About Jesse and the American Medical Association
    09:00 Challenges in regulating AI in heathcare
    13:22 AI platforms with flexible use cases emerging.
    17:09 AI's role in healthcare post-COVID and burnout.
    22:07 HIPAA and data ethics in healthcare future.
    25:30 AI used for administrative work in healthcare.
    26:40 Fascinating insights on AI impact in medicine.
    31:16 Recognize AI limitations and use it wisely.

    Topics Covered in This Episode:
    1. AI Innovations in Healthcare
    2. Implementation Challenges and Concerns
    3. The Impact of AI on Healthcare Professionals
    4. The AMA's Principles and Guidelines for AI Use

    Keywords:
    AI in healthcare, Virtual nurse technology, Administrative simplification, Image interpretation, Data protection, Innovation ecosystem, AMA online platform, Ethical use of AI, Regulatory framework, AI hearing assistive technology, Ambient dictation technology, Voice dictation in healthcare, Large language models, Jordan Wilson, Dr. Jesse Ehrenfeld, Physician burnout, Workforce crisis in healthcare, Augmented intelligence, Electronic health records, Patient data protection, Health data privacy, Personalized AI models, AI podcast, Former Google DeepMind researcher, AI startup, Amazon AI shopping assistant, Apple's AI offerings, AI algorithms in insurance, Public health improvement, AMA's mission.

    AI may soon use our voice to diagnose illness

    AI may soon use our voice to diagnose illness

    We humans are social animals, and we communicate a lot with our voices - much more than just in the words we speak. So if our voices can communicate emotion, can they also communicate health markers? Well, apparently so. Increasingly, AI research is looking at using AI voice analysis to diagnose everything from common colds to cancer, as well as mental health markers.

    It could be a huge opportunity in the healthcare space, but also in professional settings as a tool in the belt of HR and talent managers.

    This week, we're joined by Yaël Bensoussan, MD, Head of the Department of Otolaryngology at the Morsani College of Medicine, to find out more.

    We'd love to hear your one minute review of books which have changed your year! Simply record them on your smart device or computer and upload them using this Google form: https://forms.gle/pqsWwFwQtdGCKqED6

    Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA

    About the expert, Yaël Bensoussan: https://www.linkedin.com/in/yael-bensoussan-3108a181

    This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organisations and what we can learn from it.

    Hyfe’s Joe Brew on using AI to quantify coughs + Presh on generating content with ChatGPT | E1721

    Hyfe’s Joe Brew on using AI to quantify coughs + Presh on generating content with ChatGPT | E1721

    Hyfe CEO Joe Brew joins Jason to discuss quantifying cough to prevent the spread of disease. They break down how Hyfe’s technology works (2:48), how his company diagnoses diseases via audio and qualifying health data (14:47), before Presh joins to demonstrate how to easily create business content for your startup with ChatGPT (40:16).

    (0:00) Jason kicks off the show

    (2:48) How does Hyfe work? 

    (9:03) Notion - Sign up for FREE at https://notion.com/jason

    (10:32) Acoustic AI and its potential  

    (14:57) What is a cough, and why do they happen? 

    (17:17) Chronic Cough

    (21:06) Hyperice - Get $50 off your order of $150 or more with code TWIST50 at https://hyperice.com/

    (22:34) Managing a cough

    (25:18) Diagnosing other diseases through audio  

    (31:56) Licensing the technology and pandemic prevention 

    (38:47) Mayfair - Get 4.35% APY on your cash and increase your FDIC insurance coverage at https://getmayfair.com/twist

    (40:16) Quantifying health data

    (43:45) Generating ideas from existing content using ChatGPT

    (49:45) Using Chat-GPT for your product or service from scratch

    (53:51) Creating micro-content with Chat-GPT


    FOLLOW Joe: https://twitter.com/joethebrew

    FOLLOW Presh: https://twitter.com/preshdkumar

    FOLLOW Jason: https://linktr.ee/calacanis


    Subscribe to Founder University

    https://www.founder.university/podcast

    https://www.youtube.com/channel/UC8bLXgWx7dTGcA9kssYDjdw?sub_confirmation=1

    https://open.spotify.com/show/1p39ZzpP0ZcUCcEX293y3j

    https://podcasts.apple.com/ca/podcast/founder-university/id1648407190


    Subscribe to our YouTube to watch all full episodes:

    https://www.youtube.com/channel/UCkkhmBWfS7pILYIk0izkc3A?sub_confirmation=1