Data Related Topics 
Leapfrogging
MARCH 3, 2025
AI technologies can automate routine tasks, analyze complex data sets, and provide insights that were previously unattainable. Whether you’re dealing with big data, customer insights, or operational inefficiencies, AI can offer tailored solutions to meet diverse business needs.
Leapfrogging
MARCH 21, 2025
AI technologies, such as machine learning and natural language processing, enable you to analyze vast amounts of data quickly and accurately, uncovering patterns and insights that would be impossible to detect manually. This comprehensive data collection provides a holistic view of consumer sentiments and preferences.
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Leapfrogging
MARCH 21, 2025
AI algorithms can analyze vast amounts of data, identify patterns, and provide insights that might be overlooked by human analysis. This capability is particularly valuable in concept testing, where AI can predict the potential success of new ideas based on historical data and market trends.
Leapfrogging
MARCH 21, 2025
By leveraging AI, you can enhance your ability to analyze vast amounts of data, identify emerging trends, and make informed decisions. From idea generation to concept testing, AI can support you in making data-driven decisions that align with your strategic goals. Improved Decision Making Evaluate scenarios and predict outcomes.
Speaker: Steven Bryerton, SVP of Sales at ZoomInfo & Robin Izsak-Tseng, VP of Revenue Marketing at G2
Join Steven Bryerton, SVP of Sales at ZoomInfo, and Robin Izsak-Tseng, VP of Revenue Marketing at G2 in this webinar where you're guaranteed to walk away with a fresh understanding of and a new perspective on intent data! Turn your go-to-market motions around with intent data!
Leapfrogging
MARCH 21, 2025
AI tools can analyze vast amounts of data, identify patterns, and provide insights that might be overlooked by human analysis alone. Here are some key benefits: Enhanced Creativity : AI can analyze diverse data sources and generate a wide range of ideas, helping you think outside the box.
Leapfrogging
MARCH 21, 2025
AI algorithms analyze vast amounts of data, identify patterns, and provide insights that can drive decision-making processes. One of the primary advantages is the ability to make data-driven decisions. Improved Accuracy : AI reduces human error by providing precise data analysis and predictions.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
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Combine this with innosabi Insight, an innovation market intelligence tool that automatically delivers the latest trends, patents, technologies, and competitive insights, ensuring your strategies are always data-driven. Whether it’s accelerating product development or exploring white spaces, we help turn data into actionable strategies.
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Learn how to refine targeting, personalize outreach at scale, and use automation the right way—without losing authenticity.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use. . 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI prototypes into impactful products!
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. When developing a Gen AI application, one of the most significant challenges is improving accuracy. The number of use cases/corner cases that the system is expected to handle essentially explodes.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)
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Storytelling is more than just data visualization. Storytelling provides an organized approach for conveying data insights through visuals and narrative. Data-driven storytelling could be used to influence user actions, and ensure they understand what data matters the most.
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Organizational data literacy is regularly addressed, but it’s uncommon for product managers to consider users’ data literacy levels when building products. Product managers need to research and recognize their end users' data literacy when building an application with analytic features.
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