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    • AI's impact on sales and simplifying tasksAI is transforming sales by automating tasks and simplifying processes, demonstrated by the Rabbit r one device and Amazon Q assistant

      AI is increasingly being used in sales and can help individuals and businesses work less and sell more. The discussion on the Everyday AI Show highlighted the importance of sales in our daily lives and how AI can enhance sales processes. A recent news item covered the Rabbit r one device, which was criticized for being just an Android app instead of the standalone AI device it was marketed as. However, Rabbit clarified that the device operates using Rabbit OS and the large action model in the cloud. Another news item was about Amazon's new generative AI assistant, Amazon Q, which is now generally available to developers and businesses. This assistant can help with simple tasks and decision making using natural language, and a new capability called Amazon Q apps allows employees to build their own AI applications without coding experience. Overall, these news items demonstrate the growing role of AI in sales and its ability to automate and simplify tasks for individuals and businesses.

    • GPT 2 chatbot taken offline due to high trafficUnexpected high demand for GPT 2 chatbot led to temporary unavailability, underscoring its potential in transforming industries

      The highly anticipated GPT 2 chatbot model, which was performing at a level similar to Claude 3 Opus, Google Gemini, and GPT 4 in informal testing, has been taken offline due to unexpectedly high traffic and capacity limits. The model, which was being hosted on the LMSYS website, was only available for testing and is now unavailable. While the broader release may be coming soon, this temporary setback highlights the immense demand and potential of large language model chatbots. Meanwhile, on a different note, Ryan Saleh, the CEO and founder of Whale Boss, joined the show to discuss how AI is being used in sales to save time and increase productivity. Ryan shared his experience of discovering the capabilities of ChatGPT and how it has reshaped his focus and go-to-market strategy for his clients. Stay tuned for more insights on how AI is transforming various industries.

    • Three levels of AI integration in sales: assimilation, integration, and innovationAI can transform sales processes beyond surface-level tasks by automating repetitive tasks and providing significant value through generative AI for complex problems. Start exploring AI use cases to scale operations and reduce production time like the assembly line.

      While AI has become increasingly common in sales, many teams are only utilizing its surface-level capabilities. According to our guest, there are three levels of AI integration in sales: assimilation, integration, and innovation. At the assimilation level, AI is used for high-level tasks like generating emails or summarizing meetings. However, there's much more potential for AI to transform sales processes. Sales teams should start exploring generative AI for common, complex problems that can be automated. This is where AI can provide significant value and help teams scale their operations. Our guest used the analogy of the Model T Ford production process to illustrate this point. Before the industrial revolution, a single craftsman would build an entire car from scratch, a time-consuming and inefficient process. With the introduction of the assembly line and specialization, the production time was drastically reduced, allowing for mass production. Similarly, sales teams can benefit from AI's ability to automate repetitive tasks, freeing up time for more strategic work. By focusing on these use cases, sales teams can begin to scratch the surface of AI's potential and start the transformation process towards more advanced AI integration and innovation.

    • AI integration in sales processesAI can automate repetitive tasks, improve performance, and provide valuable insights for sales professionals, allowing them to focus on strategic activities and improve sales, marketing, and product design.

      The integration of AI in sales processes can lead to increased efficiency and productivity by automating repetitive tasks and allowing sales professionals to focus on higher value activities. This integration can also lead to improved performance in certain areas where AI outperforms humans. For instance, sales professionals can use AI to analyze sales call transcripts and identify patterns of questions, objections, and verbiage used by clients, which can then be integrated into marketing and messaging to address objections proactively and customize material. Additionally, AI can help sales professionals save time by automating routine tasks, freeing up hours that can be used for more strategic activities. The expansion of context windows in large language models has made this possible by allowing for the processing of larger amounts of data, enabling sales professionals to gain valuable insights from sales calls and client feedback on a larger scale. This, in turn, can lead to improvements in sales, marketing, and product design.

    • Automating time-consuming research for salesAutomating research using AI saves salespeople 10 hours a week, allowing them to focus on strategic activities and increase productivity.

      Understanding a company's challenges and priorities at a deep level can give salespeople a competitive edge. This process, which typically takes 45 minutes, can be summarized and integrated into a pre-call script in just a few minutes, saving valuable time and energy. For salespeople, this could translate to saving 10 hours a week, or even more for revenue leaders and executives. This time savings not only increases productivity but also allows for higher quality work in areas like graphics, deep writing, and video creation. Generative AI, like ChatGPT, can help automate these time-consuming tasks, enabling knowledge workers to focus on more strategic activities. This is especially important in today's fast-paced business environment. As a bonus, the Everyday AI team offers a free prime prompt polish ChatGPT course for listeners who want to learn more about maximizing the potential of this powerful tool.

    • Maximizing Sales Efficiency with AI: Priming, Prompting, and PolishingAI tools like ChatGPT can automate non-selling activities, freeing up salespeople's time for selling. Mastering priming, prompting, and polishing techniques enhances AI's accuracy and usefulness, potentially doubling selling time and improving conversions.

      Effective use of AI tools like ChatGPT can significantly increase the efficiency and productivity of sales processes by automating non-selling activities, allowing salespeople to focus more on selling. However, to maximize the benefits, it's crucial to master the art of priming, prompting, and polishing to get accurate and useful responses from AI. Currently, approximately 72% of a salesperson's time is spent on non-selling activities, leaving only around 20% for actual selling. By reducing non-selling times, salespeople could effectively double their selling time and improve the quality of their selling experience, leading to increased conversions. However, the integration of AI in sales is not a linear process, and higher-value sales with complexities and multiple stakeholders will likely require human oversight. Eventually, we may transition from AI-assisted selling to directing the AI to do the bulk of the work for us. But, it's essential to understand the core elements of prompting and using AI effectively to avoid producing spam at scale. Gartner identifies this trend as a significant shift in sales processes. Ryan Staley, the CEO and founder of Whale Boss, emphasizes the importance of mastering the art of priming, prompting, and polishing to get the most out of AI tools like ChatGPT. If you're interested in learning more, sign up for the free PPP course at podpp.com.

    • Leveraging AI for Effective SalesAI can create customized messaging, build sales departments, and act as a negotiation coach, but it's essential to use the right tools for various verticals and departments and minimize its weaknesses to maximize sales effectiveness.

      While Artificial Intelligence (AI) can offer impressive workflows in sales, it's essential to use it wisely. Ryan shared his observations, citing an ineffective workflow involving irrelevant and generic emails as an example of bad AI usage. On the other hand, he highlighted the potential of AI for creating customized messaging based on customer emotions, desires, and segmentation. Additionally, Ryan mentioned the ability of AI to build a sales department from scratch and even act as a negotiation coach. However, it's crucial to be aware of the best AI sales enablement tools for various verticals and departments. Some popular options include Perplexity for research. Overall, the key is to leverage AI's strengths while minimizing its weaknesses to maximize sales effectiveness.

    • Leaders must guide AI tool implementationLeaders must use AI tools themselves and provide clear vision for teams to innovate, while understanding the nuances and exploring under-the-radar gems like Cast Magic and Text Blaze.

      While generative AI tools like ChatGPT, Microsoft Copilot, and Google's Gemini are powerful for real-time research and integration into work products, successful implementation requires both leadership understanding and clear direction. The leaders must not only use these tools themselves but also provide their teams with a clear vision of the potential use cases to spark innovation. The challenge lies in the nuanced nature of these tools, which can't be fully grasped without hands-on experience. Moreover, Cast Magic, a tool for content creation and Text Blaze, a prompt expander, are under-the-radar gems for solo content creators and companies, respectively. Despite the potential delays in implementation, organizations are already using these tools and learning from top performers to maximize their benefits. As for the future, the possibilities are vast, and the key is to stay informed and proactive in exploring the potential of these advanced technologies.

    • Investing in large language models for AI implementation in salesBusinesses should start using AI tools now for sales processes, focusing on autonomous agents for efficiency and expertness. AI adoption in sales is predicted to surge in 2024, especially for text, email, phone, and video interactions.

      Businesses should invest in understanding and utilizing large language models as the foundation for AI implementation, focusing on the use of autonomous agents for sales and other processes. The future is heading towards increasingly AI-powered interactions in sales, including text messages, emails, phone calls, and videos. Don't get left behind by waiting for perfection; start using AI tools now to save time and become an expert. The AI landscape is constantly evolving, so focus on the basics and build from there. Additionally, 2024 is predicted to be a significant year for the mainstream adoption of AI agents, and advancements in video technology will follow a similar trajectory as graphics did last year. Pre-COVID, the use of AI in sales was already on the rise, and the trend is expected to continue post-pandemic. However, the human touch in sales still holds value, and striking a balance between AI and human interaction will be crucial.

    • Leveraging AI while preserving human connectionUse AI as an assistant to enhance sales efficiency and effectiveness, while maintaining genuine relationships with clients and focusing on emotional connections.

      While AI can significantly enhance sales efficiency and effectiveness, it's essential not to overlook the importance of human connection. Ryan emphasized that forming genuine relationships with clients and understanding their motivations outside of work can set you apart. He suggested focusing on building text relationships and engaging in emotional connections. Moreover, Ryan advised sales leaders to start using AI tools like ChatGPT or Copilot for daily tasks, treating them as assistants rather than replacements. He emphasized the importance of documenting and brainstorming new ways to use AI, which can lead to transformative improvements in sales processes and even help individuals become "superhuman" in their roles. In summary, while AI can offer tremendous benefits in sales, it's crucial to remember the value of human connection and the potential for AI to augment, not replace, our abilities. By implementing these strategies, sales leaders can work less and sell more effectively tomorrow.

    • Stay updated on the latest AI developmentsSign up for Everyday AI's daily newsletter to stay informed and competitive in the field of AI

      Staying informed about the latest developments in AI is essential for staying competitive. The team from Everyday AI emphasized this point during their discussion, encouraging listeners to sign up for their daily newsletter to stay updated. They believe that this information is crucial for winning the "war" in the field of AI. The team also expressed their gratitude for their audience and encouraged them to subscribe and leave ratings to support their work. They concluded the episode by encouraging listeners to break barriers and look forward to more insights from Everyday AI tomorrow and every day.

    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.

    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

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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.

    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 60: Making More Sales with AI

    EP 60: Making More Sales with AI

    How can you use AI to make more sales? Sunehra Malhotra, an Enterprise Account Executive at Brevo joins us to answer that exact question. We're breaking down the benefits of incorporating AI into sales strategies and how AI can help boost sales performance.

    Newsletter: Sign-up for our free daily newsletter
    More on this: Episode Page
    More on this topic in today’s newsletter
    Join the discussion: Ask Sunehra and Jordan questions about AI in sales
    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Time Stamps:
    [00:00:17] Daily AI news

    [00:03:30] Intro to guest Sunehra Malhotra and Brevo

    [00:04:50] How does Brevo use AI without AI policies?

    [00:07:13] Brevo's AI email marketing features

    [00:09:38] Using AI in Sales

    [00:11:20] Example of using AI in sales properly 

    [00:16:24] Using AI for automating sales sequences

    [00:18:00] Bringing human connection to AI use

    [00:21:12] AI is a tool to enhance sales

    Topics Covered in This Episode:

    - Addressing concerns about AI potentially replacing sales roles
    - Encouragement for salespeople to evaluate how AI can benefit them
    - Discussion on the potential advantages of AI based on understanding its capabilities
    - Welcoming viewers to the live broadcast and inviting questions in the comments
    - Mention of Brevo as a larger company generating significant revenue
    - Lack of AI policies in companies and how Bravo uses AI tools to enhance performance metrics
    - Utilization of AI to research target accounts and assist with email sequences
    - Emphasis on the importance of customized and personalized emails to stand out
    - AI's role in reducing time spent on researching software usage
    - Desire to automate sequences for targeting accounts and input target criteria for AI to provide a list
    - Importance of personalizing approach and mentioning personal experiences in emails to specific companies
    - Acknowledgment that AI will never fully replace salespeople but can make them more efficient and productive
    - Potential applications of AI in various aspects of sales and personal/professional spheres
    - Emphasis on the importance of research and competitive analysis when using generative AI

    Keywords:
    AI, ChatGPT, automation, tasks, concerns, roles, sales, department, company, fear, benefits, advantages, understanding, live broadcast, questions, comments, Bravo, revenue, AI policies, performance metrics, clients, platform, cold sales, cold emails, attention, email outreach, research, target accounts, email sequences, customized emails, marketing strategy, individual contributors, judgment, company policies, product, efficiency, target accounts, researching companies, salespeople, convincing customers, testing AI, learning process, resume reviews, job search, API key, generative AI, research, competitive analysis, automating processes, researching and analyzing products, potential customers, clients, job security, impact on careers, personalization, tone of voice, caution, podcast episode, newsletter, everyday life, news stories, autonomous AI agents, Silicon Valley, Wix,

    5 Ways ChatGPT Can Actually Move the Needle For Sales Teams

    5 Ways ChatGPT Can Actually Move the Needle For Sales Teams

    Understandably, there’s a lot of hype around AI at the moment. But you’d be surprised by the number of businesses that don’t use chatGPT except for writing emails (which is barely the tip of the iceberg of what it can do).

     

    In today’s episode, we’re going to go through 5 chatGPT use cases that will multiply the productivity of your sales team:

    • Pipeline generation: craft your sequences, strategy, and messaging to get leads to engage with you.
    • Onboarding: Train reps in a controlled environment and get them performing in half the time.
    • Ongoing Skills Training: Craft training programs that turn weaknesses into strengths.
    • Building Pitches: Anticipate objections and determine how to match their problem with your solution
    • Better ROI Story: Craft a compelling proposal that aligns your product with your prospect’s need.

     

    Hit the subscribe button on your favorite podcast player so you don’t miss the next episode.

     

    Don’t miss out!  Registrations are OPEN for ‘Sales AI Unleashed’, a webinar series w/ Kevin Dorsey. Join 1000+ sales leaders who are mastering AI and chatGPT during our free live sessions. 

    Sign up here: https://bit.ly/sales-ai-unleashed-series

     

    If you’re a leader and want to integrate AI into your org - book some time with me to talk about how we can build a custom system for your needs:

    https://savvycal.com/Jake-Dunlap/modern-leader

     

    Check out the chatGPT prompts, full article, and recording on skaled.com:

    https://skaled.com/insights/move-the-needle-chatgpt-sales/

     

    Sign up for the Modern Leader newsletter for more tips and talks from Jake:

    Email: https://skaled.com/modern-leader-sign-up

    LinkedIn: https://bit.ly/modern-leader-newsletter 

     

    Follow Jake:

    LinkedIn: https://linkedin.com/in/jakedunlap

    Instagram: https://instagram.com/jake_dunlap_

    Twitter: https://twitter.com/jaketdunlap

    Website: https://jakedunlap.com

    #293 Published Pricing, An Evil Marketing or A Business Need?

    #293 Published Pricing, An Evil Marketing or A Business Need?

    A few weeks ago a discussion started on LinkedIn about vendors providing pricing on their web page. Damian Tomasino was for (with nuance), and John Care was against (also with nuance). 

    So I thought it would be best to jump on a call with Damian and John to discuss their initial thoughts and the nuances of it. 

    In this chat, we dig into their insightful opinions on this “controversial” topic, the evolution of the sales engineer's role, and the need for improved collaboration amongst sales engineers, account executives, and marketing teams. 

    Show notes: https://wethesalesengineers.com/show293

    EP13: Future Proofing Your Sales Team Through AI With Chad Burmeister

    EP13: Future Proofing Your Sales Team Through AI With Chad Burmeister

    Future Proofing Your Sales Team Through AI with Chad Burmeister

     

    “ The early part of AI is just finding the anomalies.”

    – Chad Burmeister


    Kyle Willis:

    Marketing from the Roosevelt Room

     

    Sales techniques and customer buying process is changing every day. How can sales teams stay ahead of the curve and prepare for the future in how they grow, train, and empower their sales force?

    Chad Burmeister is equipping today’s modern sales professional with AI-powered sales strategies and technologies to dominate their market! As Founder and CEO of ScaleX, Chad is responsible for building a next generation AI for a Sales company, that enables salespeople to be 10X more productive.

    What You’ll Learn

    • Why AI is changing the game.
    • What you can do with AI to make more sales.
    • How to future proof your sales team with AI.