value 
Analytics Vidhya
NOVEMBER 7, 2022
Introduction Missing values are the type of data that contains NaN or no value for the particular record of the dataset. Handling missing values is one of the most important and tricky parts of data cleaning and preprocessing in machine learning. This article was published as a part of the Data Science Blogathon.
Analytics Vidhya
SEPTEMBER 26, 2024
Introduction In the world of databases, NULL values can often feel like the proverbial black sheep. Understanding how to effectively handle NULL values […] The post Handling NULL Values in SQL appeared first on Analytics Vidhya.
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CIO Business Intelligence
DECEMBER 10, 2024
That gives CIOs breathing room, but not unlimited tether, to prove the value of their gen AI investments. Align data strategies to unlock gen AI value for marketing initiatives Using AI to improve sales metrics is a good starting point for ensuring productivity improvements have near-term financial impact.
CIO Business Intelligence
NOVEMBER 21, 2024
Ninety percent of CIOs recently surveyed by Gartner say that managing AI costs is limiting their ability to get value from AI. Gartner’s prediction that CIOs can underestimate AI costs by 1,000% should be a wake-up call to CIOs to figure out how to measure and prioritize the AI projects that can provide value , Miller says.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API.
Analytics Vidhya
FEBRUARY 6, 2024
Introduction Replacing values in a list is a common task in Python programming. Whether you want to update specific elements, replace multiple values, or modify elements based on certain conditions, having the ability to replace values in a list is essential. appeared first on Analytics Vidhya.
Analytics Vidhya
FEBRUARY 3, 2024
Introduction Python programming opens the door to a world of endless possibilities, and one fundamental task that often stands before us is extracting unique values from a list. Getting unique values from a list is a common task in Python programming.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
You will learn: How to identify business problems with a good fit for Generative AI solutions 🔍 How to build a simple proof of concept that showcases the core functionality and business value - even if it's not perfect 📊 How to choose the right approach for integrating your generative model into your application on production 🔀 (..)
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
This pragmatic approach is generally applicable, and will provide significant value to developers who are aiming to improve accuracy and speed! Using this case study, he'll also take us through his systematic approach of iterative cycles of human feedback, engineering, and measuring performance.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
This talk will offer a comprehensive roadmap for turning AI potential into tangible results, opening up the opportunity to create value in your organization. Fostering Collaboration 🤝 Learn how to create an organizational culture that embraces AI, encouraging collaboration between AI experts, product teams, and other stakeholders.
Speaker: Dave West, CEO of Scrum.org
Everyone knows that agile approaches are designed to deliver value. Many Scrum Teams’ reality is that their very reason for being is defined not by value but by work. Many Scrum Teams’ reality is that their very reason for being is defined not by value but by work. How to measure value inside and outside the team.
Advertiser: Data Robot
Ultimately, organizations will have to improve the velocity of innovation by creating repeatable processes that support ideation, exploration, and incubation, essential to capturing an idea’s full value.
Speaker: Data Robot
In this session, we will debate whether and how these same lessons can help organizations get to value more quickly with generative AI. Join our DataRobot experts to reflect on lessons learned from helping hundreds of enterprises grow their AI maturity over the past 5 years.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale.
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