AI-driven solutions boost efficiency by automating routine tasks, freeing up employees to focus on more complex and creative projects.

Yet convincing employees to adopt AI is a hurdle for many businesses. Besides cost concerns, many are anxious about job security.

This week on AI-Driven, we dive into the challenges businesses face in getting their teams to embrace AI. We'll look at effective strategies to foster an AI-friendly culture.

To effectively leverage AI, you can obtain, adjust, or develop the necessary models.

But expanding your AI portfolio requires resources. Even pre-built systems need customization.

So, should you build or buy AI? AI-Driven explores the advantages and disadvantages of developing your own AI model internally versus purchasing a ready-made solution.

Guests

Data Scientist Justin Waltrip

Business Development Executive Cody Clements

Generative AI is all the rage.

But what exactly is it? How is it used? And why has it become such a sensation? 🤔

Get ready to dive into the world of Generative AI with our latest AI-Driven podcast! We're here to unravel the secrets behind this powerful and popular technology. Tune in now! 🎧✨

Guest: Cognistx Data Scientist Justin Waltrip

Cognistx CEO Sanjay Chopra addresses this critical challenge, discussing how good and bad data shape business outcomes.

Retrieval-augmented generation (RAG) is a method for enhancing searches, providing greater context to the questions users ask.

Cognistx Data Scientist Justin Waltrip explains how RAG is the driving force behind powerful new search platforms and the difference it makes.

Cognistx uses RAG to power SQUARE, an AI-powered enterprise search tool that uses customer's data to generate the responses.

Cognistx CEO Sanjay Chopra and Data Scientist Justin Waltrip discuss regulating AI and the concerns about the misuse of the technology.

As a company that has been developing AI products for business since 2015, Cognistx has developed a protocol for working with businesses.

Cognistx Data Scientist Justin Waltrip explains the difference between search engines and answer engines.

Not quite a search engine and not quite a chat bot, the answer engine provides nuanced, relevant and cited content in response to a question.

Justin offers several examples including how SQUARE, Cognistx's platform, uses this same technology applied to a company's corpus of documents including audio and video files, pdfs, emails and other document types.

SQUARE is Cognistx's answer engine for businesses. We apply generative and extractive AI to your corpus of documents, allowing your team to find the answers they need.

Now, SQUARE can search audio and video files.

Imagine you own a franchise, and your new employee needs to remember the cleaning protocols covered in training. A quick SQUARE search pulls up an employee training video and a specific reference to cleaning procedures, so they don't have to scroll through two hours of video for what they need.

Cognistx CEO Sanjay Chopra and Data Scientist Justin Waltrip discuss this latest innovation and how it works.

The "1-10-100 rule" is a concept in data quality management that suggests the cost of addressing a data quality issue increases as the issue moves through different stages of the data life cycle.

Our guests, Cognistx Product Manager Romy Dhiman and Data Scientist Justin Waltrip, address the transformational effect of AI on data quality.

The US Copyright Office is opening a public comment period around AI and copyright issues. Recently, a group of prominent authors joined a proposed class action lawsuit filed against OpenAI over allegations that products like ChatGPT make illegal use of their copyrighted work, setting off a high-profile legal clash.

Cognistx Data Scientist Justin Waltrip fills us in on the latest and how we're helping a client create AI-generated product placements on existing images. The debate, says Justin, centers on the percentage of work done by an individual as opposed to a machine.