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    • Revolutionizing transportation with NVIDIA's supercomputing capabilitiesNVIDIA collaborates with over 100 carmakers, truckmakers, and transportation companies to add sensors and supercomputing technology, making transportation safer and more reliable, with a presence in the industry for over 2 decades.

      NVIDIA, known primarily for its graphics processing units (GPUs), is also revolutionizing the transportation industry by bringing supercomputing capabilities to vehicles. NVIDIA's vice president of automotive, Danny Shapiro, shared that they work with over 100 carmakers, truckmakers, and transportation companies to make transportation safer and more reliable. This is accomplished through the addition of sensors and supercomputing technology. Although older cars may not have NVIDIA parts, the company's influence extends beyond self-driving cars, as they have been collaborating with the automotive industry for over 2 decades, initially focusing on graphics design. NVIDIA's presence at the GTC conference highlights the future of AI in transportation, making roads safer for all.

    • Transforming the automotive industry with advanced technologyNVIDIA's automotive-grade technology, like the NVIDIA DRIVE system on a chip, is revolutionizing vehicle design and operation in harsh conditions. Latest advancements include AI-powered features and partnerships with major automakers.

      NVIDIA has been a pioneer in bringing advanced technology from consumer electronics into the automotive industry. From computer-aided design tools and simulation to touch screens, digital instrument clusters, and head-up displays, NVIDIA has transformed the way vehicles are designed and operated. To meet the unique challenges of the automotive industry, NVIDIA created automotive-grade versions of its products, such as the NVIDIA DRIVE system on a chip (SOC), which integrates a CPU, GPU, and other processors to handle various computations in harsh conditions. At the recent GTC conference, NVIDIA showcased its latest advancements, including vehicles powered by NVIDIA technology, such as the Mercedes Benz CLA concept car and Lucid Air. With the adoption of NVIDIA DRIVE THOR, the world's largest EV maker, BYD, will have access to a more powerful supercomputer for AI capabilities, enabling new features like sensing both outside and inside the vehicle.

    • Advancements in computing power and NVIDIA's chips leading to safer autonomous vehiclesCompute power advancements enable safer autonomous vehicles by handling complex algorithms and multiple sensors, but safety remains the top priority, and full self-driving is a complex challenge with lives at stake, with a focus on exceeding human capabilities rather than a specific timeline.

      The advancements in computing power, specifically with NVIDIA's chips, are leading to new capabilities in transportation and autonomous vehicles. The more compute a vehicle has, the safer it can be with the ability to run complex algorithms and handle multiple sensors. The industry has been working towards full self-driving and autonomous vehicles for some time, but it's a complex challenge with lives at stake. Compute is no longer the only issue, but safety remains the top priority. The industry is pushing for a high level of safety that exceeds human capabilities, rather than a specific timeline. The exponential increase in computing power means we may finally see full self-driving and autonomous vehicles become more common in the coming years. However, it will still take time to ensure safety and reliability.

    • Revolutionizing Autonomous Vehicle Testing with NVIDIA's OmniverseNVIDIA's Omniverse platform creates digital twins of real-world environments for autonomous vehicle testing, enabling safer simulations in various weather and road conditions.

      NVIDIA's Omniverse platform is revolutionizing the testing and safety of autonomous vehicles through advanced simulations. Companies around the world are conducting trials with robo taxis, buses, trucks, and more, with great success. These vehicles are powered by NVIDIA and are operating autonomously in various locations, including Beijing, Shanghai, Abu Dhabi, and the Bay Area. The key focus is ensuring the vehicles can handle the unexpected. To do this, NVIDIA uses simulation to create digital twins of real-world environments, complete with roads, buildings, and various objects and vehicles. The computer in the data center processes these simulations, thinking it's on the road and making decisions accordingly. This allows for testing in various weather and road conditions, as well as hazardous scenarios, without putting anyone in harm's way. With increased computing power, NVIDIA can now run more simulations simultaneously, significantly improving safety testing for autonomous vehicles. Omniverse also offers applications beyond safety, including climate change and other positive real-world applications.

    • Revolutionizing automotive industry collaboration with NVIDIA's OmniverseNVIDIA's Omniverse enables efficient collaboration and optimization in the automotive industry through photo-realistic rendering, real-time ray tracing, and simulating factories and manufacturing processes.

      NVIDIA's Omniverse is revolutionizing the way designers, engineers, and manufacturers collaborate and innovate in the automotive industry. By allowing users to work in various software applications and bring their designs together in Omniverse for photo-realistic rendering and real-time ray tracing, teams can efficiently collaborate and optimize designs. This extends to simulating factories and the manufacturing process itself, enabling better coordination and reducing potential issues. Ultimately, the future of automotive development is moving towards simulating everything first, as seen in NVIDIA's chip design and smart building projects.

    • Autonomous vehicles process AI onboard for quick decisions, connectivity for updates and external dataAutonomous vehicles leverage powerful onboard AI processors for quick decisions, while connectivity enables software updates and external data access, pushing the boundaries of transportation technology.

      For autonomous vehicles, all essential AI processing happens onboard the vehicle itself, ensuring quick decision-making and safety, while connectivity is utilized for software updates and accessing external data. Connected cars are smarter than most computers due to their powerful AI processors, such as NVIDIA's Drive Thor, which offers a massive 1,000 TOPS (trillion operations per second) of compute power. The recent announcement of Blackwell architecture in NVIDIA's offerings is causing excitement, leading some to reconsider the possibilities for future advancements in transportation technology. However, it's essential to remember that these advancements are targeted at specific applications and are not necessarily leading to flying cars or a fully self-driving future for every vehicle right away.

    • The Future of Transportation with Generative AINVIDIA is leading the way in implementing generative AI technology in transportation, enabling cars to understand speech, diagnose issues, and drive autonomously, with continuous improvement through software updates.

      The future of transportation is moving towards automation and autonomy, powered by advanced AI technology. Generative AI is the new trend, allowing AI to create new content instead of just recognizing patterns. This will be seen in various industries, including transportation, where cars will be able to understand and respond to human speech, diagnose issues, and even drive themselves. NVIDIA is at the forefront of this technology, working with major players in the transportation industry to make this future a reality. The excitement isn't just about buying a new car with the latest capabilities, but about the continuous improvement through software updates. Your next car may not be fully autonomous right away, but it can be upgraded as technology advances and regulations change. NVIDIA's end-to-end approach starts from the design of the vehicles and continues with powerful computers and software updates, ensuring that your car gets better with time.

    • NVIDIA's Innovative Solutions for the Automotive IndustryNVIDIA's Omniverse technology enhances design, efficiency, safety, buying experience, and service in the automotive industry, reducing accidents and improving road safety.

      NVIDIA is revolutionizing the automotive industry by providing innovative solutions for automakers and truck manufacturers, enhancing design, efficiency, and safety through engineering, manufacturing, testing, simulation, retail, and even virtual test drives. Their technology, Omniverse, is set to play a significant role in the buying experience and service and maintenance. Despite fears about autonomous driving, NVIDIA believes this technology will make our roads safer by reducing accidents, injuries, and fatalities. At NVIDIA GTC, new announcements about AI in transportation were discussed, and Danny helped us understand these advancements. If you missed anything, be sure to check out the recap on the Everyday AI website and sign up for their free daily newsletter to stay informed.

    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

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    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.

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    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.

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

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

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    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.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan and Jim questions on GenAI

    Related Episodes:
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    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
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    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

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

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

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    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.
     
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    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
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    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.

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    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?

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    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.
     
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    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
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    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.

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

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

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    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.

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    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
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    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

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    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

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    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.

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    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
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    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.

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

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

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    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.

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    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
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    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.

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    EP 277: How Nonprofits Can Benefit From Responsible AI

    EP 277: How Nonprofits Can Benefit From Responsible AI

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    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.

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    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
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    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.

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

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

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    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!

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    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
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    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.

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

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

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    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. 

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    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

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    Website: YourEverydayAI.com
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    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/

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    Episode 125 | Q1 2023 Oil and Gas Markets Outlook, A Conversation with Dean Foreman, Chief Economist, American Petroleum Institute (API)

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    Recorded on Tuesday, January 17, 2023

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    About The Road to Autonomy

    The Road to Autonomy® is a leading source of data, insight and commentary on autonomous vehicles/trucks and the emerging autonomy economy™. The company has two businesses: The Road to Autonomy Indices, with Standard and Poor’s Dow Jones Indices as the custom calculation agent; Media, which includes The Road to Autonomy podcast and This Week in The Autonomy Economy newsletter.

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    EP 8:16 Enhancing Your CRM with Advanced Technology Integration

    EP 8:16 Enhancing Your CRM with Advanced Technology Integration

    We’re kicking off 2024 in this insightful episode of the Millionaire Car Salesman Podcast, your host, Sean V. Bradley, is joined by Steve Roessler, co-founder of DriveCentric. Together, they delve deep into the pivotal role of CRM technology in the automotive industry and its transformative impact on customer engagement in the Automotive Industry!

    Sean and Steve provide valuable insights into the current state of CRM and the technology within it in the automotive industry! Both advocate for a shift in focus from transactional to relational communication, emphasizing the pivotal role CRM systems play as the heart of a dealership. The discussion explores the transformative power of video emails and text messages in fostering personalized and engaging interactions with customers.

    Furthermore, Steve delves into the integration of AI, particularly Chat GPT, into CRM systems. He illustrates how AI technologies can revolutionize customer engagement by automating responses and assisting salespeople with prompts, ultimately enhancing efficiency! The episode concludes with a forward-looking perspective on the future of CRM, highlighting the significance of conversational marketing and the role of AI in optimizing communication processes within dealerships! Tune in to gain valuable insights into maximizing the potential of CRM technology and staying ahead in the automotive industry!

     

     

    Key Takeaways

    • CRM technology is the heart of a dealership and should be used to foster engagement and build relationships with customers

    • Video emails and text messages are powerful tools for creating personalized and engaging communication with customers

    • AI, such as Chat GPT, can enhance CRM systems by automating responses and providing prompts for salespeople

    • The future of CRM in the automotive industry lies in conversational marketing and leveraging AI to streamline communication and improve efficiency

     

    "The best CRM is the one that's used." - Steve Roessler, DriveCentric

     

     

    About Steve Roessler

    Steve is recognized as one of the most prominent voices in automotive advocating for dealerships, customers, and the community. Steve was rated #2 NADA Most Popular Speaking Session, and won 2022's AWA Best Speaker Award. With his infectious personality, audiences enjoy a learning environment that’s fun, inclusive, and informative. Steve has been educating the automotive community for over 10 years, but has another 15 years of expertise servicing customers and teaching them to embrace new technology and long-term strategies that drive sales and market share growth while providing an exceptional customer experience. 

     

     

    The Future of CRM: Unlocking the Power of Engagement and AI

    Introduction

    In the fast-paced world of automotive sales, staying ahead of the competition is crucial. One of the most powerful tools at a dealership's disposal is a Customer Relationship Management (CRM) system. However, many dealerships struggle to fully harness the potential of their CRM, leading to missed opportunities and lost revenue. In this article, we will explore the key challenges faced by dealerships in relation to CRM and how innovative solutions, such as Drivecentric's AI integration, are revolutionizing the industry.

     

    The Importance of Cultivating Relationships

    In any sales industry, building relationships with customers is paramount. However, in the automotive industry, where the majority of interactions occur online, cultivating these relationships digitally is essential. Traditional CRM systems have focused primarily on database management, but the future lies in engagement-first approaches. As Steve Roessler, CEO of Drivecentric, explains, "We're teaching stores to think engagement first and database second. Customers are buying cars faster than ever, and we need to adapt to this new reality."

     

    According to Roessler, one of the key challenges faced by dealerships is the shift from in-person interactions to digital showrooms. To bridge this gap, dealerships must embrace conversational commerce. This means using tools such as gifs, memes, and videos to create engaging and personalized conversations with customers. As Roessler points out, "Texting is the number one form of communication, and we need to leverage that. By using gifs, memes, and videos, we can create a more relatable and engaging experience for customers."

     

    The Rise of Video

    Video has emerged as one of the most powerful mediums for communication. It allows for the conveyance of sight, sound, motion, and emotion, creating a more immersive experience for customers. According to Roessler, dealerships that utilize video emails and video text messages see significant increases in open rates and engagement. He cites a 35-store group that saw an average $400 gross increase on the front-end with video versus no video. The key is to make videos personal and concise, keeping them under 30 seconds.

     

    The Integration of AI

    Artificial Intelligence (AI) is revolutionizing the automotive industry, and CRM systems are no exception. Drivecentric's integration of Chat GPT (Generative Pre-trained Transformer) allows for more efficient and personalized communication with customers. The AI can be programmed to respond to customer inquiries, acknowledge specific details mentioned by the customer, and even provide prompts for salespeople to craft their responses. This streamlines the communication process and allows salespeople to focus on building relationships rather than administrative tasks.

     

    The Paradigm Shift in CRM Strategy

    One of the biggest challenges faced by dealerships is the outdated and inefficient CRM strategies that are still prevalent in the industry. Many dealerships focus on quantity rather than quality, making a high volume of phone calls and sending generic emails. This approach leads to low connection rates and disengaged customers. Roessler emphasizes the need for a paradigm shift, stating, "We need to celebrate conversations, not activities. It's about talking to customers, not just making phone calls or sending emails."

    According to Roessler, the future of CRM lies in leveraging AI to create conversational marketing and streamline processes. AI can handle routine tasks, such as appointment confirmations and follow-ups, allowing salespeople to focus on higher-value activities. The integration of AI and CRM will enable dealerships to provide a more personalized and efficient customer experience. As Roessler explains, "AI is the roomba of CRM. It takes care of the mundane tasks, allowing salespeople to focus on meaningful conversations with customers."

     

    Conclusion

    The automotive industry is evolving rapidly, and dealerships must adapt to stay competitive. CRM systems are at the heart of dealership operations, and harnessing their full potential is crucial. By embracing engagement-first approaches, leveraging the power of video, and integrating AI technology, dealerships can create more personalized and efficient customer experiences. The future of CRM lies in building relationships, cultivating engagement, and utilizing AI to streamline processes. As the industry continues to evolve, dealerships that embrace these innovations will thrive in the digital age.

     

    Future Outlook

    Looking ahead, the future of CRM lies in leveraging AI to create conversational marketing and streamline processes. AI can handle routine tasks, such as appointment confirmations and follow-ups, allowing salespeople to focus on higher-value activities. The integration of AI and CRM will enable dealerships to provide a more personalized and efficient customer experience. As Roessler explains, "AI is the Roomba of CRM. It takes care of the mundane tasks, allowing salespeople to focus on meaningful conversations with customers."

    In addition, the rise of conversational commerce and the power of video will continue to shape the automotive industry. Dealerships that embrace these tools and techniques will be able to create engaging and personalized experiences for their customers, leading to increased sales and customer satisfaction.

    Overall, the future of CRM is bright, with innovative solutions such as Drivecentric's AI integration leading the way. By harnessing the power of engagement and AI, dealerships can unlock new levels of success and stay ahead of the competition in the fast-paced world of automotive sales. The key is to adapt to the changing landscape, embrace new technologies, and prioritize building relationships with customers. As the industry continues to evolve, dealerships that embrace these innovations will thrive in the digital age.

     

     

     

     

    Resources:

    Dealer Synergy & Bradley On Demand: The automotive industry’s #1 training, tracking, testing, and certification platform and consulting & accountability firm.

    The Millionaire Car Salesman Podcast: is the #1 resource for automotive sales professionals, managers, and owners.  Also, join The Millionaire Car Salesman Facebook Group today!

    Win the Game of Googleopoly: Unlocking the secret strategy of search engines.

     

    The Millionaire Car Salesman Podcast is Proudly Sponsored By: 

    Dealer Synergy: The #1 Automotive Sales Training, Consulting, and Accountability Firm in the Automotive Industry! We have been building Internet Departments and BDCs for over two decades! It is this experience that has allowed us to develop the absolute best automotive Internet Sales, BDC, and CRM solutions for car dealerships. We have created the most effective training programs and processes. Phone scripts and rebuttals are our specialties, while CRM action plans, strategies, and templates are our expertise! Dealer Synergy will take both your tools and your people to the next level.

    Bradley On Demand: Automotive Sales Industry’s #1 Interactive Training, Tracking, Testing and Certification Platform. With over 7,500 training modules, our platform has everything you and your dealership need to sell more cars, more often and more profitably!

    Money Mind Mapp (M3): Visit MoneyMindMapp.com for help in revolutionizing your business to help you sell more cars by tracking, projecting, and forecasting your personal sales goals!

    EP 7:29 Six-Month Check-In With A Car Salesman Who Sold 13 Cars in His First Two Weeks

    EP 7:29 Six-Month Check-In With A Car Salesman Who Sold 13 Cars in His First Two Weeks

    Welcome to this week's episode of the Millionaire Car Salesman podcast! Host L.A. Williams delves into the critical topics of burnout and culture within the automotive industry. If you've been struggling to retain sales associates at your dealership or as a manager, are you paying attention to their mindset and ensuring there's a positive environment for success? It's time to examine whether your dealership's hours and shifts align with modern-day culture or if they're still stuck in outdated practices from the 70s.

    In this episode, LA Williams invites John Oyekunle back to the show. John shares his personal journey in the automotive industry, specifically his first six months. He began his career by training with Bradley on Demand, which prepared him for his first sales job. However, John realized that the culture at his initial dealership wasn't a good fit for him in the long run. Recognizing that the dealership wouldn't provide him with the growth opportunities he desired, John decided to make a significant change.

    Moving on to his second dealership, John experienced a complete 180-degree shift in support from the management team. This positive shift greatly impacted his performance and overall satisfaction with his job. Unfortunately, despite the improved environment, the dealership couldn't fully support John's book of business due to inventory limitations.

    In response, John decided to take the summer off and focus on his teaching career, a move made possible by the financial freedom he had attained. This break allowed him the time and space to reevaluate his options and search for the next car salesman opportunity that aligns with his goals and aspirations.

    Join LA Williams as he and John Oyekunle discuss the challenges and triumphs of navigating the automotive industry's culture and finding the right dealership fit. Whether you're a seasoned car salesperson or someone considering a career in this field, this episode offers valuable insights into building a successful and fulfilling path in the automotive world while avoiding burnout and thriving in a supportive culture. Stay tuned for an inspiring and informative discussion!

     

     

    About John Oyekunle

    John Oyekunle was born in Nigeria and now lives in Miami, Florida. He’s brand new to the automotive industry and is already making his mark. John discovered the Millionaire Car Salesmen Podcast before getting his first car salesman job. He took the initiative and bought Bradley on Demand to learn everything he could about the industry. John walked into Infiniti and got hired on the spot!! On his first day on the showroom floor, he sold 2 cars! John is a success story in the making!

     

    Resources

    Dealer Synergy & Bradley On Demand: The automotive industry’s #1 training, tracking, testing, and certification platform and consulting & accountability firm.

    The Millionaire Car Salesman Podcast: is the #1 resource for automotive sales professionals, managers, and owners.  Also, join The Millionaire Car Salesman Facebook Group today!

    The Against All Odds Radio Show: Hosting guests that have started from the bottom and rose to the top.  Also, join The Against All Odds Radio Show Guests & Listeners Facebook Group for the podcasted episodes.

    For more interactivity, join The Millionaire Car Salesman Club on Clubhouse.

    Win the Game of Googleopoly: Unlocking the secret strategy of search engines.

     

    The Millionaire Car Salesman Podcast is Proudly Sponsored By: 

    Money Mind Mapp (M3): Visit MoneyMindMapp.com for help in revolutionizing your business to help you sell more cars by tracking, projecting, and forecasting your personal sales goals!

    Bradley On Demand: Automotive Sales Industry’s #1 Interactive Training, Tracking, Testing and Certification Platform. With over 7,500 training modules, our platform has everything you and your dealership needs to sell more cars, more often and more profitably!