Understanding from the AI Risk Management Framework: Building Trustworthy AI, Part 3 of 6 In the world of Artificial Intelligence (AI), trust is a critical factor. The National Institute of Standards and Technology (NIST) has developed a comprehensive guide, the
Understanding the NIST Artificial Intelligence Risk Management Framework: The Audience. Part 2 of 6 In the rapidly evolving landscape of Artificial Intelligence (AI), risk management is a critical aspect that demands attention. The National Institute of Standards and Technology (NIST)
Understanding the NIST Artificial Intelligence Risk Management Framework: Part 1 of 6 The National Institute of Standards and Technology (NIST) released a comprehensive guide named the Artificial Intelligence Risk Management Framework (AI RMF 1.0), to help organizations navigate the complexities
Time Series Forecasting using Machine Learning. Addressing Risk, Enhancing Efficiency, and Navigating Future Pain Points in Media and Healthcare Time Series Forecasting using Machine Learning (ML) has witnessed a surge in its application across various sectors, not least the media
Preparing for AI: The Analyst’s QuickStart Guide In the world of data, information is as valuable as gold. As Artificial Intelligence (AI) becomes increasingly embedded into business processes, it’s essential for analysts to keep up with the rapid pace of
The Power of AI to Revolutionize Revenue Operations: What Executives Must Know to Choose the Right AI Vendor Revenue Operations (RevOps) holds the key to driving growth and maximizing profitability. As organizations seek innovative solutions to enhance their revenue generation,
Turbocharging Your Machine Learning & AI Projects with Squark’s Advanced & Automated Data Preperation, Cleaning, and Feature Engineering Data preparation and “feature” engineering is a critical aspect of any successful machine learning project, involving cleaning, preprocessing, and structuring the data.
Embracing the “Predict, Explain, Act” Cycle in AI for Customer Data Adopt the three-step cycle of “Predict, Explain, and Act” to better understand and benefit from AI. This cycle can be instrumental for executives who want to successfully leverage customer
Top 10 Reasons Why Revenue Operations Executives Succeed with AI on Customer Data Today’s data-informed world means successful revenue operations executives recognize the importance of leveraging cutting-edge technologies such as Artificial Intelligence (AI) to drive growth and gain a competitive
10 Ways for Prioritizing AI Projects in Revenue Operations The primary goal of revenue ops is to maximize your organization’s revenue growth and profitability. To successfully prioritize AI projects that will support this objective, Squark encourages you to consider the
Squark is a no-code AI as a Service platform that helps data-literate business users make better decisions with their data. Squark is used across a variety of industries & use cases to uncover AI-driven insights from tabular and textual data, prioritize decisions, and take informed action. The Squark platform is designed to be easy to use, accurate, scalable, and secure.