How Implementing Data Cleaning Can Boost AI Model Accuracy: image 1

Prevent Costly GenAI Errors with Rigorous Output Evaluation — Here’s How

Output evaluation is the process through which the functionality and efficiency of AI-generated responses are rigorously assessed against a set of predefined criteria. It ensures that AI systems are not only technically proficient but also tailored to meet the nuanced demands of specific...

Read More
Data quality in AI

The Critical Role of Data Quality in AI Implementations

AI has revolutionized how we operate and make decisions. Its ability to analyze vast amounts of data and automate complex processes is fundamentally changing countless industries. However, the effectiveness of AI is deeply intertwined with the quality of data it processes. Poor data quality can...

Read More
Futuristic paper printing machine

Why “Garbage In, Garbage Out” Should Be the New Mantra for AI Implementation

The adage “Garbage In, Garbage Out” (GIGO) holds a pivotal truth throughout all of computer science, but especially for data analytics and artificial intelligence. This principle underscores the fundamental idea that the quality of the output is linked to the quality of the input. As...

Read More
Midjourney depiction of AI business automation

Future-Proofing Business for AI & Automation: Driving and Managing Change

Evaluating your organization’s tools, leadership, business model, and partnerships can identify areas of improvement needed to find success with your AI strategy. It’s not necessarily the case that AI will lead to automation of all business — and it may be your industry is one of the least-affected by this disruption — but these steps will ensure your organization is prepared for the future.

Read More
Midjourney depiction of AI future trends

The Future is Here: Why You Need to Jump on the AI Bandwagon

If you have been waiting for strong evidence before investing your organization’s time and resources into AI, the knowledge most organizations have already taken that step should be convincing. Now is the time to begin your journey into AI for your enterprise.

Read More
Midjourney depiction of AI Regulation

What Will AI Regulation Look Like? Unpacking Proposed Restrictions

The CASC approach hopes to provide regulation that is “future-proof” since it gives agencies free rein to keep adapting to the evolution of AI technology, but it doesn’t provide the clear direction some organizations may want (or need) to pursue their AI strategy.

Read More
How Implementing Data Cleaning Can Boost AI Model Accuracy: image 2

How Retailers Can Keep Customers Happy and Satisfied This Holiday Season With AI

This article was originally published on TotalRetail blog. The busy holiday shopping season is already upon us, bringing today’s brands an important opportunity to strengthen relationships with new and existing customers. As increasing numbers of consumers rely on e-commerce to meet their shopping...

Read More
Get Demo