#20-Kiss from AI: Joey Brodsky with AI and Hiring, Claude 3.5 Launch, AI Music Lawsuit, AI Data Reports, CLAY
Jonathan M K.
Head of GTM Growth Momentum | Founder GTM AI Academy & Cofounder AI Business Network | Business impact > Learning Tools | Proud Dad of Twins
Good morning, afternoon, and evening AI enthusiasts in the GTM world!
As a reminder, GTM AI Academy is an AI enablement and consulting company where we provide education, training, and advice on how to use AI in your GTM teams, companies, and individual use.
TEASER ALERT
Starting in July we will be offering micro lessons released weekly that you can subscribe to that will be individualized per role in the GTM world. Excited for the release!
Business Impact> Learning Tools
Few things before we jump in:
Now with all that being said, lets move forward with todays newsletter which is:
Some posts from last week for you to enjoy around AI:
Lets get into it!
You can go to Youtube, Apple, Spotify, or here on Linkedin as well as a whole other host of locations to hear the podcast or see the video interview.
We did a little different podcast this time, doing a duo-interview where two podcast hosts interview each other on the same podcast!
It was my pleasure and honor to have Joey Brodsky of The GTM Kickback! podcast and the Head of GTM Search for Stott and May join me to talk about AI and recruiting.
What struck me most during our discussion was the delicate balance we're all trying to strike between leveraging AI's capabilities and maintaining the crucial human elements in our work. Joey shared fascinating insights into how AI is reshaping the recruitment landscape, allowing for more nuanced candidate searches and potentially changing the way we conduct interviews. However, he emphasized - and I wholeheartedly agree - that we can't lose sight of the human intuition and 'gut feelings' that often lead to the best hires.
We also explored the evolving role of enablement, a topic close to my heart. It was enlightening to hear Joey's perspective on how AI is elevating the importance of enablement roles, especially in early-stage companies. We both see a future where enablement professionals become key strategists, overseeing AI systems that provide real-time coaching and feedback to sales teams.
One of the most valuable takeaways from our chat was the importance of critical thinking and creativity when using AI tools. As I often tell my listeners, AI is a powerful tool, but it's our human ability to critically evaluate and creatively apply its outputs that will truly drive innovation and success.
We touched on some practical advice for startups too, discussing the importance of documenting founder knowledge, setting realistic expectations for new sales hires, and identifying what 'good' looks like in your organization. These are crucial steps that can make or break a young company's go-to-market efforts.
Throughout our conversation, a common theme emerged: AI has the potential to greatly enhance our work, but only if we use it wisely. It should complement and augment our human skills, not replace them. As we wrapped up, Joey and I both expressed excitement about the future, where AI and human expertise combine to create more effective, efficient, and personalized go-to-market strategies.
Key Quotes from Joey:
"I think from a recruitment perspective and trying to source and court these people on a daily basis, how people are found and the skills that people are looking for, strictly from a search standpoint... it's much more nuanced because it can be nuanced at a larger scale by using AI."
"People that can be hyper scientific in the way that they sell... it's an exponential curve that is like very close to being straight upwards and downwards right now, because of AI."
"I think bringing in someone like yourself on an advisory capacity is, is really, really exceptionally important and probably not prolific enough to use that word again, right? Um, that would have a big impact on just getting people conceptually to understand why this sort of program is important and why they should do it earlier than not, instead of waiting for a mess to happen and being reactive in it."
"It needs to be an enhancement of the human experience and all these people are going through, whether it's recruitment, whether it's direct sales, whether it's sales enablement or some sort of data analysis."
Tell me what you think of the episode, I highly enjoyed it!
I have been geeking out with the new release of Claude 3.5 Sonnet which has been released by Anthropic just recently after the release of OpenAI release of ChatGPT 4o which made a splash a few weeks ago.
Claude 3.5 knowledge is updated as of April 2024, but its capabilities are next level.
Anthropic has once again pushed the boundaries of what's possible in AI with the release of Claude 3.5 Sonnet. This model sets new industry benchmarks in graduate-level reasoning, undergraduate-level knowledge, and coding proficiency. It operates at twice the speed of its predecessor, Claude 3 Opus, while maintaining cost-effectiveness.
Key Features and Capabilities:
1. Advanced Language Understanding:
Claude 3.5 Sonnet excels in grasping nuance, humor, and complex instructions. It can engage in thoughtful conversations across a wide range of topics and produce high-quality content with a natural, relatable tone.
2. Coding Prowess:
As a developer's dream assistant, Claude can write, edit, and execute code across various languages and frameworks. From creating full-stack web applications to developing games like Snake in React or a Mario clone, its coding abilities are truly impressive.
3. Visual Intelligence:
With enhanced vision capabilities, Claude can interpret charts, graphs, and complex images. It can even generate SVG images, animated diagrams, and design maps for fictional worlds.
4. Data Analysis and Financial Reasoning:
Claude demonstrates sophisticated skills in data extraction, correlation analysis, and developing trading strategies based on complex financial data.
5. API Integrations:
The model can seamlessly work with various APIs, expanding its capabilities in areas like sound generation and more.
6. Interactive "Artifacts" Feature:
This groundbreaking addition allows real-time generation and display of content alongside conversations. Users can see, edit, and interact with generated code, web apps, and images immediately.
Real-World Applications:
Developers have been pushing Claude's limits, and the results are astounding. Here are some examples:
- A fully functional Mancala web app created and deployed in under a minute
- Interactive sound generation using the Eleven Labs API
- Complex data analysis and financial strategy development
- Architectural and design capabilities for creating detailed fantasy world maps
Commitment to Safety and Privacy:
Anthropic has subjected Claude 3.5 Sonnet to rigorous testing, including evaluations by the UK's Artificial Intelligence Safety Institute. The company maintains a strong commitment to user privacy, not training its models on user data without explicit permission.
Availability and Pricing:
Claude 3.5 Sonnet is now available for free on Claude.ai and the Claude iOS app. It's also accessible via the Anthropic API, Amazon Bedrock, and Google Cloud's Vertex AI. For those needing more intensive use, the model is priced at $3 per million input tokens and $15 per million output tokens, with a generous 200K token context window.
Looking Ahead:
Anthropic isn't resting on its laurels. They're already working on Claude 3.5 Haiku and Claude 3.5 Opus, set to complete the Claude 3.5 family later this year. Future developments may include new modalities, enterprise application integrations, and exciting features like Memory for more personalized interactions.
Certainly! I'd be happy to explain why Claude 3.5 Sonnet's capabilities matter and how Go-To-Market (GTM) professionals can leverage this technology. Here's an overview:
Why It Matters:
1. Increased Efficiency: Claude 3.5 Sonnet's speed and advanced capabilities can significantly reduce time spent on various tasks, allowing GTM teams to focus on strategy and high-value activities.
2. Enhanced Creativity: The AI's ability to generate and iterate on ideas quickly can spark innovation in marketing campaigns, product positioning, and content creation.
3. Data-Driven Insights: Claude's advanced analytical capabilities can help extract meaningful insights from complex market data, informing strategic decisions.
4. Personalization at Scale: The ability to understand nuance and context enables more personalized communication with prospects and customers.
5. Cost-Effective Solution: Compared to hiring additional staff or multiple specialized tools, Claude 3.5 Sonnet offers a versatile and cost-effective alternative for many tasks.
How GTM Professionals Can Use Claude 3.5:
1. Market Research and Analysis:
- Analyze competitor websites, marketing materials, and social media presence
- Synthesize industry reports and trend data
- Conduct sentiment analysis on customer feedback and social media mentions
2. Content Creation:
- Generate blog posts, social media content, and email campaigns
- Create product descriptions and feature highlights
- Develop pitch decks and sales presentations
- Write and proofread press releases
3. Customer Segmentation:
- Analyze customer data to identify key segments
- Develop detailed buyer personas
- Create targeted messaging for different customer groups
4. Sales Enablement:
- Generate customized sales scripts and email templates
- Create FAQ documents and objection handling guides
- Develop training materials for sales teams
5. Product Marketing:
- Assist in crafting compelling value propositions
- Generate product comparison charts
- Create user guides and documentation
6. Campaign Planning:
- Brainstorm campaign ideas and themes
- Develop multi-channel marketing strategies
- Create campaign timelines and project plans
7. Data Visualization:
- Generate charts, graphs, and infographics for presentations and reports
- Create interactive dashboards for tracking KPIs
8. Competitive Intelligence:
- Monitor and analyze competitor activities
- Summarize industry news and updates
- Identify market gaps and opportunities
9. Customer Support:
- Draft responses to common customer inquiries
- Create troubleshooting guides and knowledge base articles
- Analyze customer support tickets for trends and insights
10. Localization and Internationalization:
- Assist in adapting marketing materials for different regions
- Provide cultural context for international marketing efforts
11. A/B Testing:
- Generate ideas for A/B tests on websites, emails, and ads
- Analyze test results and provide recommendations
12. SEO Optimization:
- Generate keyword lists and content ideas
- Analyze website content for SEO improvements
- Assist in crafting meta descriptions and title tags
By leveraging Claude 3.5 Sonnet's capabilities, GTM professionals can streamline their workflows, enhance their strategic thinking, and deliver more personalized and data-driven marketing efforts. This can lead to improved efficiency, better customer engagement, and ultimately, stronger market performance.
The key is to view Claude as a powerful assistant that can handle many time-consuming tasks, freeing up GTM professionals to focus on high-level strategy, relationship building, and decision-making that requires human creativity and emotional intelligence.
The Recording Industry Association of America (RIAA) has initiated lawsuits against two prominent AI music generation companies, Suno and Udio. Here's what you need to know:
1. The Allegations:
Major recording companies, including Sony, Universal, and Warner, allege that Suno and Udio have infringed on copyrights by using protected sound recordings to train their AI models without authorization.
2. The Defense:
AI companies argue that using copyrighted materials for AI training should fall under "fair use" exemptions in copyright law.
3. The Counterargument:
The music industry contends that AI-generated music directly competes with copyrighted works, disqualifying it from fair use protection.
4. Evidence Cited:
The RIAA claims to have found producer tags and sound-alike recordings in the AI-generated outputs, suggesting the use of copyrighted material.
5. Broader Context:
This is part of a larger trend of lawsuits against AI companies, including actions against Anthropic, Meta, and OpenAI for alleged copyright infringements in various creative fields.
Why This Matters for GTM Professionals:
1. Legal Landscape Shifts:
As AI becomes more integrated into marketing and content creation, understanding the evolving legal landscape is crucial for risk management.
2. Content Creation Strategies:
GTM professionals using AI for content generation, including music for ads or social media, need to be aware of potential copyright issues.
3. Partnership Considerations:
When collaborating with AI companies, it's important to verify their data sourcing and training practices to avoid potential legal complications.
4. Market Disruption:
The outcome of these lawsuits could significantly impact the AI tools available for creative marketing efforts.
5. Ethical Considerations:
This case highlights the importance of ethical AI use in marketing, which can impact brand reputation and consumer trust.
6. Industry Specific Impacts:
For those in the music, entertainment, or tech industries, these developments could reshape product offerings and marketing strategies.
7. Future of AI in Marketing:
The resolution of these cases will likely influence how AI can be used in content creation and marketing automation going forward.
Key Takeaway for GTM Teams:
While AI offers exciting possibilities for content creation and marketing automation, it's crucial to approach its use with caution. Ensure that your AI-powered marketing tools and strategies are ethically sound and legally compliant. Stay informed about these legal developments and be prepared to adapt your strategies accordingly.
How and where our data is being used for training models will become a hot topic for all businesses as we move forward.
Generative AI: Transforming Workplaces and Career Dynamics
One year after generative AI revolutionized our interaction with technology, its profound impact on the workplace is undeniable. Employees, already grappling with intensified work demands post-pandemic, are proactively incorporating AI tools into their routines. Business leaders recognize AI as crucial for competitiveness but often lack concrete plans for leveraging it to enhance bottom-line results.
Satya Nadella, Microsoft's CEO, emphasizes that AI is "democratizing expertise," enhancing decision-making and collaboration across all levels of an organization. Microsoft's fourth annual Work Trend Index, developed in partnership with LinkedIn, draws on extensive data from global surveys, productivity signals, and Fortune 500 research, offering vital insights for leaders and professionals on AI's role in reshaping work and the labor market.
Key Findings from the Work Trend Index:
1. Widespread Adoption and Individual Initiative: Seventy-five percent of knowledge workers use AI at work, citing time savings and enhanced creativity. Despite 79% of leaders acknowledging AI's importance, many are concerned about quantifying its productivity benefits. Notably, 78% of employees are introducing personal AI tools at work, highlighting a gap between employee initiative and organizational strategy.
2. Career Impact and Talent Mobility: AI is reshaping career trajectories, with many workers considering job changes and pursuing AI skills independently. Alarmingly, 55% of leaders worry about talent shortages, particularly in fields like cybersecurity and engineering. Despite this, only 39% of employees receive formal AI training from their employers, prompting a self-driven surge in AI skill acquisition.
3. The Emergence of AI Power Users: Power users of AI, who integrate these tools deeply into their work processes, report significant gains in efficiency and job satisfaction. These individuals are often supported by proactive organizational cultures that emphasize the importance of AI and provide targeted training.
Ryan Roslansky, CEO of LinkedIn, suggests that agility and continuous skill development are crucial for organizations aiming to maintain a competitive edge and foster more efficient, engaged, and equitable workplaces.
As we continue to navigate the complexities of AI integration, the ability to effectively communicate with AI systems remains a challenge for many. To address this, Microsoft is introducing new Copilot features for Microsoft 365 to aid users in leveraging AI more effectively.
This evolving landscape presents a dual opportunity: for organizations to harness AI to attract top talent and improve operational efficiency, and for professionals to enhance their career prospects through strategic skill development.
Scale Zeitgeist AI Readiness Report 2024: A Deep Dive
In the latest edition of the Scale Zeitgeist AI Readiness Report, the focus pivots from mere adoption to optimizing and critically evaluating AI within enterprise environments. With insights gathered from over 1,800 machine learning practitioners and leaders, this comprehensive analysis unveils pivotal trends and challenges that are shaping the future of AI application across various industries.
Key Insights and Trends:
1. Adoption Hesitancy: Despite the broad recognition of AI's potential, a significant 60% of organizations surveyed are yet to adopt AI, primarily due to security concerns and a lack of in-house expertise. This hesitancy underscores the critical need for robust security measures and the development of AI proficiency within enterprises.
2. Evaluating AI Performance: Among those who have embraced AI, there is a strong inclination towards enhancing operational efficiency, with 79% citing it as a principal motivator. However, only half of these organizations measure the actual business impact of their AI initiatives, indicating a gap in performance evaluation practices.
3. Model Optimization and Customization: The report highlights a dynamic shift towards the customization of AI models to fit specific organizational needs. While 65% of organizations utilize out-of-the-box models, there is a growing trend towards fine-tuning (43%) and employing retrieval-augmented generation (RAG) techniques (38%) to enhance model relevance and performance.
4. Safety and Security: Interestingly, while safety concerns are prominent in public discourse, they rank lower in operational priorities, with only 55% of organizations considering them during model evaluation. This could signal a potential underestimation of safety-related risks in current AI deployment strategies.
5. Future Outlook: The landscape of AI is rapidly evolving, with a notable increase in the adoption of more capable foundation models and a shift towards integrating multimodal capabilities. This evolution suggests that future AI systems will not only understand and generate text but will also increasingly handle images, audio, and video, creating more immersive and interactive experiences.
Implications for GTM Strategies:
As GTM professionals, understanding these trends is crucial for aligning our strategies with the evolving capabilities of AI technologies. The insights from the Scale report can guide us in several ways:
- Security and Expertise Development: Given the widespread concern about AI security and expertise, there is a valuable opportunity to differentiate our offerings by emphasizing secure AI solutions and providing training programs to cultivate AI expertise within our teams and client organizations.
- Customization and Optimization: The move towards customized AI solutions suggests a growing market for services that tailor AI models to specific industry needs. This can be a key competitive advantage in our GTM strategies, offering bespoke solutions that enhance client operations and efficiency.
- Evaluative Metrics: The lack of comprehensive evaluative practices in AI applications presents a gap we can fill by developing and offering robust AI performance metrics and evaluation services. This will not only enhance our value proposition but also help clients maximize their ROI from AI investments.
- Safety Focus: Addressing the underrepresented concern for AI safety in operational contexts, we can lead in promoting and integrating safety-first AI designs, thereby appealing to risk-averse industries and building trust with our clients.
By leveraging these insights, we can position ourselves at the forefront of the AI application wave, delivering value that is not only aligned with current technological advancements but also anticipates future trends and challenges.
### Overview of CLAY AI
CLAY AI is a cutting-edge sales automation and data enrichment platform designed to revolutionize how go-to-market (GTM) teams handle their lead generation and outreach strategies. With a robust AI core, CLAY AI facilitates the scraping of extensive lead data across the internet, enhances it for accuracy and relevance, and enables personalized outreach at scale. This tool is particularly celebrated for its seamless integration of artificial intelligence with practical sales tools, making it a powerhouse for not just collecting data but also for making meaningful connections out of that data. As such, it provides an all-in-one solution for GTM teams looking to maximize their outreach efficiency and effectiveness.
The platform stands out for its ability to integrate with existing CRM systems and other sales tools, ensuring that all data remains synchronized and up-to-date. This synchronization allows for real-time data enrichment and the automation of personalized outreach campaigns, saving teams considerable time and resources. The user-friendly interface, although packed with advanced features, is designed with the end-user in mind, making complex tasks more manageable and allowing GTM teams to focus on what they do best—closing deals.
### Capabilities
- Advanced Lead Scraping: Automatically extract detailed lead information from various online sources, including social media and professional networks.
- Data Enrichment: Enhances lead data with accurate and up-to-date information from over 75 million company leads and integration with multiple data providers.
- Personalized Outreach: Utilizes AI to craft personalized email messages based on enriched data, increasing the likelihood of engagement.
- Seamless Integrations: Compatible with popular CRM systems and sales tools, ensuring that all data is easily accessible and actionable.
- Real-Time Data Synchronization: Keeps all lead information current across platforms, which is crucial for maintaining accurate sales funnels.
- AI-Driven Insights: Offers insights and recommendations to optimize sales strategies based on data trends and interaction histories.
### Utility for GTM Professionals
For GTM professionals, CLAY AI serves as a crucial tool to streamline and enhance various facets of the sales process. Here's how and why GTM teams should consider integrating CLAY AI into their workflows:
- Efficiency in Lead Generation: By automating the extraction and enrichment of lead data, GTM professionals can save hours that would otherwise be spent manually searching for and updating lead details. This efficiency allows teams to focus more on strategy and less on administrative tasks.
- Enhanced Personalization: With its advanced AI capabilities, CLAY AI allows sales teams to send out highly personalized outreach messages based on specific lead data points, which significantly improves engagement rates and ultimately, conversion rates.
- Scalability: As businesses grow, so does the volume of leads and data. CLAY AI's scalable infrastructure supports growing data needs without a drop in performance, making it ideal for both startups and large enterprises.
- Data-Driven Decisions: The insights provided by CLAY AI help GTM professionals understand market trends, customer behavior, and campaign performance, leading to more informed decision-making and strategy optimization.
By leveraging CLAY AI, GTM teams can not only increase their productivity but also enhance the effectiveness of their outreach campaigns, ensuring that every interaction with a potential customer is as impactful as possible.
That is all for today, more next week!
Founder of Saasfactor | On a mission to make design a competitive advantage for SaaS to maximize ARR.
8 个月Exciting updates in this newsletter!?
Exec Search for VC/PE-Backed AI, SaaS and Cyber Scale-Ups
8 个月Incredible time - thanks for having me Jonathan!
Connector, Problem Solver & Believer in People | Revenue Enablement Leader | SEC Ambassador, Award Winner & One to Watch | Top 50 Creator
8 个月So excited to see Luster launch!!!
Enablement | Sales, Customer Success, Channel, Technical | SaaS & Tech
8 个月Awesome, thanks Jonathan M K. Coach K! Always appreciate these.