Join Seth Earley on Earley AI Podcasts as he welcomes Adam Honig, a pioneering force in the field of customer relationship management (CRM). As the founder of Spiro AI, Adam challenges the conventional need for CRM systems by offering an innovative AI-driven alternative. With a rich history of building one of the largest Salesforce consulting partners—eventually acquired by Accenture—Adam’s insights blend tradition with transformative technology, sparking discussions about the evolving landscape of CRM.

Key Takeaways:

• Revolutionizing CRM: Understand Adam's perspective on why traditional CRM systems are antiquated and how Spiro’s AI-driven approach offers a modern solution.
• Automated Data Capture: Learn how Spiro AI automates the tedious process of data entry and offers real-time insights for sales teams without manual input.
• Industry-Specific Challenges: Explore the unique hurdles faced by manufacturing and distribution sectors in adopting CRM and AI technologies.
• AI Implementation: Discover practical implementations of AI, including order entry automation, in revolutionizing traditional business models.
• Future of Work: Delve into a candid discussion on how AI could lead to significant job displacement, and the broader economic implications.
• Roadmap of Innovation: Get a sneak peek into future developments, including autonomous AI agents and enhanced integration with product data.

Quote from the show:

"Salespeople didn't go into sales to enter data. They want to meet with customers. They want to be where the action is, and they need the software to just get out of their way." – Adam Honig

Links:
LinkedIn: https://www.linkedin.com/in/adamhonig/

Website: https://spiro.ai

X: https://x.com/adamhonig

Thanks to our sponsors:

• VKTR
• Earley Information Science
• AI Powered Enterprise Book

In this episode, Seth Earley is joined by Brian Magerko, a professor of digital media at Georgia Institute of Technology and a pioneer in applied AI and computer-human interaction. Brian shares his journey through the academic realm and his fascinating experiences, including co-founding EarSketch, an educational platform that merges coding with music for nearly 2 million users. Together, Seth and Brian explore the bridging of technical language gaps, the role of AI in creativity, and unravel common misconceptions about generative AI. Listen in as they discuss the complexities of AI-driven creativity, the importance of fostering AI literacy in organizations, and the ethical considerations that come with the integration of cutting-edge technology. This episode is packed with insights that are sure to provoke thought and inspire innovation in any AI enthusiast or professional. Join us as we continue our journey into the evolving landscape of artificial intelligence.

Key Takeaways:

• The evolution of AI from aspirational concepts to today’s realities in the marketplace.
• Insights into the bridging of technical language gaps and the role of AI in creativity.
• Common misconceptions and myths about generative AI and its responsible use.
• Importance of a holistic organizational approach to adopting AI technology, including involving diverse stakeholders.
• Discussion on the implications of biases in AI and the significance of responsible data handling.

Quote from the show:

"They are tools, not oracles, you know, they're things that are great in the hands of people that know how to use them." - Brian Magerko

Links:
LinkedIn: https://www.linkedin.com/in/magerko/

Website: https://expressivemachinery.gatech.edu

X: https://x.com/thatmagerko

Thanks to our sponsors:

• VKTR
• Earley Information Science
• AI Powered Enterprise Book

In this episode, hosts Seth Earley and Chris Featherstone are joined by Don Gossen to explore the transformative potential of AI and blockchain in decentralized energy networks. This episode explores how AI and blockchain technologies work together to optimize energy consumption, secure transactions, and drive innovation in local energy management. Don shares real-world case studies showcasing the impact of AI-driven IoT solutions, from reducing costs to enabling energy sovereignty in European markets.

Key Takeaways:

• AI’s Role in Energy Optimization – How AI-powered agents connect with IoT devices to enhance efficiency and manage decentralized transactions.
• Blockchain for Security & Transparency – The role of blockchain in securing transactions and ensuring trust in energy markets.
• Real-World Applications – Case studies of AI-driven decentralized energy networks lowering costs and increasing sustainability.
• Future Trends – The emergence of AI-driven economic models that could redefine how energy is produced and consumed.

Tune in to hear Don’s insights on the cutting edge of AI, blockchain, and the future of decentralized energy.

Quote from the show:

"Blockchain technology offers elegant solutions to problems of provenance in data and ML models, enabling higher fidelity and trustworthiness. The integration of decentralized blockchain with centralized ML technology presents conflicts, but it is essential for developing better solutions and new economic models. It's about more than just replacing tasks; it's about redefining how we manage and transact value in an increasingly autonomous ecosystem." – Don Gossen

Links:
LinkedIn: https://www.linkedin.com/in/donald-gossen-40ab96/

Website: https://nevermined.io

X: https://x.com/dongossen

Thanks to our sponsors:

• VKTR
• Earley Information Science
• AI Powered Enterprise Book

In this episode, hosts Seth Earley and Chris Featherstone are joined by John Lenker, an accomplished expert in enterprise search and data governance. John, who has presented to technology leaders like the CTO of NASA and the CIO of the Marshall Space Center, shares his extensive knowledge and experiences from working with leading companies. Currently engaged with Big ID, John delves deep into the evolving landscape of search technologies, data security, and enterprise-specific solutions.

Key takeaways:

• Evolution of Search Technologies: Current search tools are transitioning from simple keyword-based systems to sophisticated question-based interactions, offering synthesized answers and enhancing data findability.
• Importance of Security: John underscores the critical need for granular security in modern search technologies, detailing the challenges of securing sensitive documents amidst cloud migration and generative AI implementations.
• Trust and Customization: Organizations can trust search vendors to enhance data findability while retaining existing systems. Companies must consider both common needs and unique requirements shaped by their environments and practices.
• Challenges with Legacy Systems: Accessing and modernizing data from outdated systems adds complexity to organizational workflows, necessitating a fine balance between old and new technologies.
• Retrieval Augmented Generation (RAG): The future of search lies in interactive models like GPT, evolving towards more contextually relevant search experiences.

Quote from the show:

"Effective information architecture is the backbone of superior search experiences. It’s not just about finding information—it’s about finding the right information securely and efficiently." – John Lenker

Links:
LinkedIn: https://www.linkedin.com/in/jlenker/

Website: https://bigid.com

X: https://x.com/LenkerITPro

Thanks to our sponsors:

• VKTR
• Earley Information Science
• AI Powered Enterprise Book

In this episode of the Earley AI Podcast Sahitya Senapthy, Founder and CEO of Endeavor, joins us for an episode filled with rich discussions on AI, data management, and the intriguing paths of technological advancement in industrial manufacturing. Sahitya's career has spanned work with the US Air Force, AWS, and Palantir.

Sahitya joins our hosts, Seth Earley and Chris Featherstone, as they have an in-depth discussion about the intersection of AI and industrial manufacturing.

Key takeaways:
Rethinking AI Implementation: The importance of moving beyond simple chatbot applications like ChatGPT to realize real ROI through generative AI for sales optimization and cost savings in industrial spaces.

Phased Approach to Tech Deployment: The "crawl, walk, run" methodology along with proof-of-concept (POC) phases is crucial in acclimating users and ensuring new tools deliver tangible ROI, avoiding "shelf-ware."

Data Privacy and Security: Amidst the integration of sophisticated AI solutions, maintaining data privacy and security remains paramount.

Quote from the show:
"Real ROI in industrial spaces comes from effectively using generative AI for sales and cost savings—not just relying on chatbots." - Sahitya Senapathy

Links:
LinkedIn: https://www.linkedin.com/in/sahityas/
Website: https://www.endeavor.ai

Thanks to our sponsors:

• VKTR
• Earley Information Science
• AI Powered Enterprise Book

In this episode of the Earley AI Podcast Camden Swita, the Head of AI and ML Innovation at New Relic, joins us for an insightful discussion on the transformative role of AI in modern technology. With a rich background spanning journalism, product management, and cutting-edge AI/ML initiatives, Camden brings a unique perspective on leveraging artificial intelligence to enhance both professional and creative workflows.

Camden joins our hosts, Seth Earley and Chris Featherstone, as they navigating the complexities of data readiness and AI operations

Key takeaways:

• Understanding Vendor Offerings and Data Infrastructure: The importance of scrutinizing vendor promises and the potential of building simpler AI solutions, like basic chatbots, in-house. Consulting legitimate data scientists and engineers to assess data readiness before plunging into AI investments was highly recommended.
  
  
• Impact of Generative AI on Content Creation: Generative AI's role in automating content creation is rapidly evolving. While it offers incredible efficiencies in some areas, its application in creative writing is still experimental and requires a balance between traditional methods and automation.
• Modular Retrieval Augmented Generation (RAG): The concept of Modular RAG was explored as a way to enhance language models with relevant context. This system uses specific data sources to fill knowledge gaps, making responses more accurate and targeted. The discussion included how visual tools like heatmaps can identify and improve sparse contexts.

Quote from the show:

"Understanding the actual capabilities of AI systems and the state of your own data infrastructure is crucial. Investing in foundational data work isn't glamorous, but it's the backbone of any successful AI implementation. Without it, even the most advanced algorithms can't deliver meaningful results." - Camden Swita

Links:
LinkedIn: https://www.linkedin.com/in/camden-swita-54a41aa/

Website: https://newrelic.com

Thanks to our sponsors:

• VKTR
• Earley Information Science
• AI Powered Enterprise Book

In this episode of the Earley AI Podcast Ron Green, Founder of KUNGFU.ai joins host Chris Featherstone. Ron's expertise spans over 25 years in artificial intelligence and machine learning. Starting his journey in computer science during the early days of AI, he has witnessed and contributed to the evolution of the field from modest neural networks to today's complex, groundbreaking systems. With a master's degree in AI from Sussex, he has firsthand experience in areas ranging from protein folding predictions to advanced graph models.

Key takeaways:

• Feedback Loop in LLMs: Discover why training large language models (LLMs) using their own generated data can create a feedback loop reducing model capabilities.
• AI Accuracy and Trust: Insights into the importance of building trust in AI through accurate models and robust graph environments handling diverse data associations.
• Ethical AI Development: Discussions on the ethical challenges and necessary oversight in AI, emphasizing transparency and policy controls to mitigate biases.

Quote from the show:

"Accuracy in AI models builds trust, and that's crucial for their successful deployment. But it's vital to remember that all models have biases; the key lies in identifying and addressing the unfair ones early on." - Ron Green

Links:
LinkedIn: https://www.linkedin.com/in/rongreen/

Website: https://www.kungfu.ai

Podcast: https://www.kungfu.ai/resources/hidden-layers

Thanks to our sponsors:

• VKTR
• Earley Information Science
• AI Powered Enterprise Book

In this episode of the Earley AI Podcast we are joined by guest David Marra a seasoned expert in AI-driven investment strategies and founder of Marken Asset Management. David brings invaluable insights into the transformative potential of AI, particularly in complex payroll workflows, ERP systems, and financial services.

David joins our hosts, Seth Earley and Chris Featherstone, as they explore the current state and future of AI, including the integration of large language models (LLMs) and the importance of robust data management.

Key takeaways:

• AI for Simplifying Workflows: AI, particularly chatbots, can streamline complex payroll tasks, improving productivity by up to 30% and reducing errors.
• AI in Financial Services: Though slower to adopt AI, financial services have vast potential, offering long-term growth opportunities through AI investments.
• Global AI & Investment: Japan’s AI market is booming, and companies with strong data infrastructures are best positioned to benefit from AI advancements.

Quote from the show:

"2023 was the wake-up call for realizing new technology's immense potential, and as we transition pilot programs to production systems in 2024, we’ll start seeing real, tangible outcomes by 2025. The application layer of AI isn’t just a technological enhancement; it’s poised to become a multi-trillion-dollar market, revolutionizing capabilities and creating workflows that weren't even conceivable before." - David Marra

Links:
LinkedIn: https://www.linkedin.com/in/david-marra-8693b44/

Website: https://markinfunds.com

Thanks to our sponsors:

• VKTR
• Earley Information Science
• AI Powered Enterprise Book