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    • Exploring the Practical Uses of AI for Business and Career GrowthAI is no longer a theoretical concept, it's a practical tool for business and career growth. Stay informed and adapt to the ever-evolving world of AI to remain competitive.

      The hype surrounding artificial intelligence (AI) has passed, and it's now a practical tool that can be leveraged for business and career growth. Generative AI is no longer a theoretical concept; it's how we work. Jordan Wilson, host of the Everyday AI Show, emphasizes the importance of using AI to grow your company and career rather than just talking about it. The show is a daily livestream, podcast, and free newsletter that provides practical advice on leveraging AI. The audience is encouraged to share their thoughts on whether AI is all hype or if there's substance to it. A recent report in The Wall Street Journal highlights that AI is not just threatening blue-collar jobs but also white-collar positions. Companies like UPS, Duolingo, Google, and others have laid off white-collar workers due to AI. While the direct impact of AI on job loss is currently low, the trend is growing. Another piece of news discusses how to make AI better: by adding more agents. This means that as more entities adopt and utilize AI, it becomes more effective and valuable. It's essential to stay informed and adapt to the ever-evolving world of AI to remain competitive. Sign up for the free daily newsletter at everydayai.com to learn more about AI and its applications in various industries.

    • Improving language model performance with multiple agentsResearch shows adding multiple language model agents and using a sample-and-vote method can enhance performance, but there's a limit to further improvements. AI industry leader NVIDIA's strong earnings and generative AI advancements underscore the field's growth and potential.

      Researchers have found that adding multiple language model agents and using a sample and voting method can improve language model performance without the need for complex designs or collaboration frameworks. This method, which involves having multiple agents vote on the output, has shown effectiveness in increasing performance, but there is a threshold beyond which further improvements are not seen. Additionally, NVIDIA has recently surpassed Amazon and Google to become the third most valuable company in the US based on market cap, thanks to its strong earnings and leadership in the AI industry. The hype around AI is not new, as it has been used in various sectors for many decades, but the recent advancements in generative AI, which involves inputs flowing into a black box model, are expanding the capabilities and accessibility of AI. These developments demonstrate the significant strides being made in the field of AI and the potential for continued growth and innovation.

    • Generative AI: Revolutionizing Business with Powerful OutputsGenerative AI is a game-changer for businesses, reducing the barrier for entry, and becoming increasingly valuable as it moves from hype to productivity.

      Generative AI, a technology that creates outputs from simple prompts, has become more accessible and powerful, making it a game-changer for businesses. Traditionally, artificial intelligence required expertise and resources only available to the smartest minds. However, recent advancements in generative AI have significantly reduced the barrier for entry, making it accessible to everyday people through user-friendly interfaces. This shift has led to the widespread adoption of generative AI in various industries, despite the hype surrounding the technology. According to the Gartner Hype Cycle, every technology follows a predictable path from innovation to disillusionment and eventual productivity. Generative AI is currently in the peak of inflated expectations, but as it moves through the trough of disillusionment and onto the slope of enlightenment, it will become even more valuable for businesses. In essence, generative AI's ability to create powerful outputs from simple prompts is revolutionizing the business landscape and making it an essential tool for the future.

    • Generative AI not comparable to hype cycle or dotcom eraGenerative AI is a distinct technology with rapid growth and increasing adoption, unlike the Internet era which was marked by unproven technologies and lack of investment.

      The comparison of generative AI to the hype cycle or the dotcom era is not accurate. According to the speaker, generative AI cannot be charted on a hype cycle due to its unique nature and the rapid advancements in the field. While some may draw parallels between generative AI and the Internet era, it's essential to remember that each technology has distinct characteristics and development trajectories. The Internet era was marked by unproven technologies and a lack of investment, while generative AI is experiencing rapid growth and increasing adoption. It's crucial to avoid making direct comparisons and instead focus on understanding the unique potential and challenges of generative AI in the current technological landscape.

    • Tech Giants' Massive Investment in Generative AITech giants are investing billions into generative AI, shaping the future of business with their resources and influence, and the impact is already being felt faster than the shift to cloud computing.

      The tech industry's landscape and investment dynamics have significantly changed since the dotcom era. Tech companies today, such as Microsoft, Google, Meta, NVIDIA, Apple, and others, have enormous financial resources that dwarf those of the past. These tech giants are not just companies but also venture arms, investing billions into generative AI development internally, through acquisitions, and in third-party companies. This massive investment is shaping the future of business and is not merely hype. The transition to cloud computing in the mid-2000s followed a longer adoption curve, with major players like Amazon leading the way. However, the current generative AI era is witnessing an unprecedented influx of investment, with companies allocating massive budgets to this technology. The shift from on-premise IT to cloud computing took over a decade, but the impact of generative AI is already being felt in a much shorter timeframe. Comparing today's tech hype to the dotcom era is not an accurate assessment. The investment dynamics, the scale of companies, and the technology itself are vastly different. The current focus on generative AI is a game-changer, and it's essential to understand this shift to stay informed about the business world.

    • Generative AI's Role in the Economy and Business WorldGenerative AI is a transformative technology with significant impact on business and content creation, surpassing the peak of inflated expectations, and driving advancements through AI simulation, knowledge graphs, and responsible AI.

      Generative AI is not a hype cycle or a passing trend, but a significant and integral part of the current economy. The investment in this technology has reached unprecedented levels, and its impact on business and content creation is transformative. Contrary to the notion that we are at the peak of inflated expectations, the reality is that we have surpassed that point. The Gartner study, which labeled Generative AI as being at the peak, was published 7 months ago, and the technology has since grown even more. The misconception of Generative AI being a hype cycle stems from a lack of understanding of its importance and potential. Business leaders who try to apply this concept to Generative AI are making a mistake. Instead, they should focus on the advancements and competitive advantages it offers. Technologies like AI simulation, knowledge graphs, and responsible AI are driving these advancements. Organizations are aggressively experimenting with Generative AI, and the benefits are significant. Therefore, it is essential to recognize the reality of Generative AI's role in the economy and business world rather than being swayed by outdated hype cycles.

    • A new paradigm in AIGenerative AI creates new intelligence and discoveries, changing business through new rules, patterns, and medicines.

      Generative AI represents a paradigm shift rather than a point on the hype cycle. It's not a new technology that can be compared to the Internet, cloud computing, or computers. Instead, it's creating new intelligence and discoveries, harnessing human knowledge and expertise in a way that has never been possible before. Business leaders should understand that generative AI goes beyond creating art or chatbots; it's changing how we do business by discovering new rules, patterns, and medicines. For those who have been experts in their fields, the emergence of generative AI might feel like a threat, but it's essential to recognize its potential and adapt to this new era.

    • Understanding the True Potential of Generative AIGenerative AI is continuously learning and improving, surpassing human capabilities, and transforming industries with new opportunities. Don't underestimate its potential or dismiss skepticism, embrace it for growth and innovation.

      Generative AI (Gen AI) is a groundbreaking technology with the lowest barrier of entry and the highest upside potential, surpassing human capabilities in various domains, including writing. However, many individuals and organizations fail to understand its true potential due to misconceptions and misunderstandings. Gen AI is not following a hype cycle; instead, it is continuously learning and improving itself by leveraging the collective knowledge of millions of users. This iterative nature sets it apart from other technologies. For instance, the quality of AI-generated images has significantly improved in just a few years, surpassing human-created images from the past. Despite the skepticism and misconceptions, Gen AI is more impactful and powerful than ever before. It is essential not to dismiss studies from sources like Gartner or the hype cycles but to recognize that Gen AI is a game-changer. Leaders in organizations who underestimate its potential risk falling behind, while individuals who overlook its benefits may stall in their careers. Business owners who view Gen AI as a mere productivity tool, rather than a transformative technology, will miss out on its full potential. Gen AI is not just another hyped-up tool; it is a game-changer that can revolutionize industries and create new opportunities. Embrace the power of Gen AI and unlock its potential to drive growth and innovation.

    • Unprecedented investment and interest in generative AIStay informed and educated about the latest developments in generative AI to position yourself for the future

      We are currently witnessing an unprecedented level of investment and interest in generative AI from tech companies, surpassing investments from the last two decades combined. This is not a hype cycle, but a significant shift in technology. Generative AI is unlike anything we've seen before, and those who dedicate themselves to learning and practicing it will be well-positioned for the future. This is not just about AI, but about how it will allow us to create music, and much more. It's important not to be swayed by fleeting trends, but to stay informed and educated about the latest developments in AI. Sign up for the free daily newsletter at everydayai.com to stay updated and ahead of the curve.

    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:
    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

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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
    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.

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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
    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.

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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
    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

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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
    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.

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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
    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.

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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
    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.

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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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    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.

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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

    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/

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    There's one specific reason why so many companies aren't fully leveraging AI. It's a lot easier to solve than you think. We're talking about the silent AI productivity killer and how companies can take full advantage of AI.

    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

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    02:00 Daily AI news
    08:15 Modern technology moves too fast for training.
    12:05 Use internet like you use generative AI.
    13:40 Adapt to AI or face consequences, company.
    17:00 73% concerned about insufficient organization training.
    23:09 Big companies failing to implement proper training.
    28:49 CRMs improved business, generative AI offers equality.
    31:25 Tier 1: Big tech, huge AI companies. Tier 2: First adopters, large consulting companies.
    34:15 Small businesses have advantage leveraging generative AI.
    37:50 Lack of AI guidelines in most companies.
    42:20 Tech companies must train employees on data privacy.
    45:05 77% integrating AI, only 4% fully implemented.
    49:00 Departments lacking measurement mechanisms, AI implementation low.

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    1. The obstacle in leveraging AI
    2. Issues with AI education and training
    3. Need for generative AI adoption
    4. Leadership's role in AI education and implementation

    Keywords:
    Generative AI, AI training, AI education, AI technology, AI news, Yelp's AI, OpenAI, Meta, IBM, Microsoft, Google, Amazon, NVIDIA, AI documentation, AI misinformation, AI industry, AI giants, AI implementation, Deloitte AI statistics, AI Summit New York, business tiers, consulting firms, small and medium businesses, AI leadership, responsible AI use, data privacy, large language models, AI newsletter.

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    Welcome back to the riveting second part of our two-part series on the 'Future of Music' podcast, hosted by Jonathan Boyd and Ryan Withrow. In this thought-provoking continuation, we delve deeper into the profound implications and intricate nuances of Artificial Intelligence's role in shaping the music industry's trajectory.

    Building upon the intriguing insights unveiled in Part 1, we embark on a captivating exploration of AI's transformative potential in music creation, production, and beyond. Join us as we navigate the uncharted waters of AI-assisted composition, where human musicians collaborate with AI co-creators to conjure harmonies that push the boundaries of artistic expression.

    As we gaze into the future, we analyze the democratization of music production, driven by accessible AI tools that empower aspiring musicians to craft intricate soundscapes and polished productions. We examine the democratization of music distribution, exploring how AI algorithms tailor personalized listening experiences, connecting listeners to the melodies that resonate most profoundly with their emotions and preferences.

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    Source:
    Americansongwriter.com

    #100 Die Zukunft von Innovation

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    This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

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    • About Quickchat AI and how it works [02:46]
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    • What “temperature” is in the context of AI [38:38]
    • How the LLM landscape has changed in recent years [40:24]
    • The future of generative AI [57:43]
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    Additional materials: www.superdatascience.com/743