SafetyDetectives spoke with Elzat Erken, the co-founder of AI Center, he gave insights into the rigorous process of curating AI tools to ensure their quality and relevance for businesses. Erken shares his observations on the rise of Natural Language Processing (NLP) models in mass adoption, and the evolving landscape towards achieving aspects of Artificial General Intelligence (AGI). He also unveils the exciting future roadmap for AI Center, which includes launching Stevie AI, an AI Solution Advisor designed to bridge the gap between businesses and cutting-edge AI technologies.
Can you talk about your journey and what motivated you to co-found AI Center?
There have been dozens of new AI software launching on a daily basis since early 2023, many of which have been successfully increasing productivity and reducing costs for the early adopter businesses. Following the success trend, many more companies started to adopt AI solutions. However, given oceans of AI tools, companies are having difficulties picking the best AI tools that are tailored specifically to their need. At the same time, many newly launched AI companies with unique features that are targeted to solve unique problems are having a hard time getting noticed. There are companies that are hesitant to adopt AI within the organization because they are not sure how AI can improve their productivity. Those companies, particularly start-ups and smaller-sized companies, have no resources to conduct proof of concept for AI Implementation or hire a separate AI Business Strategy team. In order to solve this problem, we launched an AI Center at the end of March 2023. We started with an AI directory where everyone can find AI tools for their need with the help of Stevie AI, an in-house trained Chatbot backed by Chatgpt4 and tens and thousands of online resources. After months of data collection, Stevie AI proved to be highly accurate and useful, it was not only able to suggest the AI tool based on the user’s input but also answer questions such as: “How to use XXX Tool?”; “Can you compare Tool A with Tool B”; “Is Tool A good for SEO content Creation?”; etc.
Can you describe the process you go through to curate and filter the AI tools featured on AI Center? How do you ensure their quality and relevance?
AI tools that are featured on AI Center are submitted by the AI companies themselves through our Submit Tool page. After the submission, we review each and individual detail they input about their AI tool and compare it against their website for accuracy. We take this extra step because we have received some AI tools that are not AI at all (we even got a local bagel shop got submitted once). In addition to this, we also check their authority and traffic through software like Semrush and ScamAdvisor to make sure they are not just some randomly built spam websites. For some of the AI tools, we even sign up and try them ourselves. If we believe those tools are very useful for our users, we would write a blog about them. We currently have 140 blogs about AI tools and AI best practices.
From machine learning to natural language processing, AI has diverse applications. Which types of AI have gained the most traction and adoption in recent years?
The answer is undoubtedly NLP AIs.
AI isn’t something new – companies and electronic products have been utilizing AI in various ways. People have mass adopted AI without realizing it as part of the products they’re using.
NLP AI like Siri, Alexa, and even Google Translates are used by billions of people prior to the LNLP Model like ChatGPT. However, companies and enterprises utilize machine learning to improve their products from within, from algorithms of Social Media platforms that cause doom scrolling, to the GPS we use on a daily basis. Everything is created and improved through machine learning. So in my personal observation, NLP Models can serve as the catalyst for mass AI adoption among ordinary people.
AI can be categorized into narrow or general AI. Which type has seen more practical applications and growth within the industry?
Narrow AI was, and still is, used at a more business level – mostly in data analytics and processing tasks. However, due to its limited and narrow use cases, Narrow AI solutions can only grow vertically, improving on giving more accurate results, handling more data and etc.
AGI, however, is something that wasn’t considered possible until recently. Especially with the doors Large Language Models like ChatGPT opened up, we can already see some AI tools achieving certain aspects of AGI – though it’s still far from fully being realized.
For example, If you mix the capabilities of a few AI tools from our platform, you can get a good sense of what a successful AGI would look like – this wasn’t possible with the older models.
Since the beginning of the Generative AI era, Copywriting AI tools, for example, started to widen from mere “caption writing”, to being able to write everything; Chatbots went from being a “customer service” tool to being able to be your therapist. The pattern is clear – AI Development is going toward developing the capabilities of AGI.
Looking ahead, what exciting developments or features can users anticipate from AI Center in the near future? How do you envision the platform’s growth and impact?
There couldn’t be a better question in our current development.
AI Center started off as an AI Search Engine, but Our end goal was always to help bridge the gap between businesses and ever-innovating AI Technologies – because we realized the direction AI was going, it’s to help businesses grow.
Our second step was Library GPT – an AI chatbot that users can talk to and get matched with the perfect AI Tools designed for their needs. We gathered millions of blogs and articles as well as other information to help users to get a more detailed understanding of the said AI Tools.
After its completion, users were able to not only get matched with an AI tool, but they can also get step-by-step tutorials, find out the best use cases and even compare multiple AI tools. We released this to the public through AI Center to test out the capabilities and make necessary changes before we build our main product – Stevie AI.
We are now building Stevie AI – AI Solution Advisor. With Stevie, businesses can get matched with the perfect AI solution for their specific needs, and within budget, just by answering a few questions. Of course, there is plenty of useful information that can help them make purchase decisions.
We’re also integrating an AI Consultant function where users can get on a one-on-one call with AI Consultants who can help businesses to streamline their work using AI.
As always, this is just the start of our journey – we’ll improve our product and add more features as we gather feedback from our customers.