TL;DR:
- Legacy tools like AWS Sagemaker and Google AutoML aimed to assist technical individuals and machine learning engineers.
- Nirman Dave, CEO of Obviously AI, claims their models are superior to those of legacy tools.
- Obviously AI specializes in building rapid and accurate no-code AI models for businesses.
- They focus on tabular data and supervised learning, expanding into unsupervised learning with custom Large Language Models (LLMs).
- Levity AI, another company, focuses on image, video, and audio data.
- Obviously AI has acquired 52 customers since its establishment in 2021, with a 15% week-over-week growth in customer acquisition.
- They are working with a large consumer bank in India to develop a loan repayment model to expedite the underwriting process.
- Obviously AI acts as a manufacturer of AI models, helping businesses with data cleaning, model selection, hyperparameter tuning, deployment, and management.
- Their user-friendly interface caters to individuals with limited technical expertise, and they provide dedicated data science support.
- No-code tools, like Obviously AI’s, are seen as accelerators rather than replacements for data scientists, allowing them to focus on strategy.
- Concerns about no-code tools potentially impacting coding and software development jobs exist, but Dave believes they enhance the data science process.
Main AI News:
Automated machine learning has seen several generations of tools, each with the aim of assisting machine learning engineers and technical individuals. However, the landscape has evolved, and Nirman Dave, the CEO of Obviously AI, asserts that their models surpass those of legacy tools such as AWS Sagemaker and Google AutoML. Based in San Francisco, Obviously AI specializes in crafting no-code AI models tailored for businesses.
Dave, the driving force behind the startup, envisions transforming every company into an AI company and proudly touts the development of the fastest and most accurate no-code AI tool to date. Customers gain access to these machine learning models, which they can quickly build or customize within minutes, as Dave explained.
In contrast, legacy tools, which have been in existence for over a decade, are known for their sluggishness in model building. Dave emphasized the exceptional aspect of their approach: building models in less than a minute. With this feat, they currently stand as the swiftest AI model-building tool available.
While Dave acknowledges that other companies have also constructed no-code AI tools, he underscores the distinctiveness of their approach. Obviously AI predominantly focuses on tabular data and supervised learning but has expanded into unsupervised learning through its custom Large Language Models (LLMs) offering. Levity AI, on the other hand, concentrates on image, video, and audio data types.
Demand for Obviously AI’s services has been on the rise since its establishment in 2021, with 52 customers already on board. Although the majority of their customers are based in the United States, the startup has also garnered a client base in India, Japan, and South Africa. Dave proudly shared that their customer acquisition is growing at a rate of 15% week over week.
Notably, a major customer in India, a large consumer bank, approached them to build a loan repayment model. Traditionally, the manual underwriting process for loans is time-consuming, but with the model developed by Obviously AI, the bank can swiftly process loans, predict default probabilities, and empower underwriters to make informed decisions.
As a manufacturer of AI models, Obviously AI caters to mid-market businesses lacking data science teams or the capacity to scale one, as well as enterprise businesses that may have a backlogged data science team. The process commences with the customer bringing their data collection to the platform and specifying the desired prediction or AI model based on that data.
From data cleaning to model selection, hyperparameter tuning, model deployment, and management, the entire process is automated by the system. Notably, the user interface is designed to be user-friendly, catering to individuals without extensive technical expertise.
Furthermore, Obviously AI excels in providing dedicated data science support, forging connections between their customers and data scientists, ranging from independent practitioners to consulting firms. Concerns have arisen regarding the potential negative impact of no-code tools on jobs, particularly those involving coding and software development. As these tools become increasingly sophisticated and accessible, there is apprehension that traditional coding skills may become less essential in certain roles, leading to shifts in the job market.
However, Dave maintains that Obviously AI’s no-code tool is not intended to replace data scientists; rather, it accelerates the data science process. Hewlett-Packard and other companies utilize their tool not with the intention of eliminating their data science teams but to expedite their work.
By leveraging no-code tools, data science teams can transition from spending months on raw data to generate insights, analytics, and predictions within a matter of days or weeks. Dave emphasizes that the role of a data scientist extends beyond building AI models; it encompasses developing a strategic approach. Thus, no-code tools serve to enhance the focus of data scientists on the most exciting part of their job: strategy.
Conlcusion:
The emergence of advanced no-code AI tools, exemplified by Obviously AI, signifies a significant shift in the market. These tools offer businesses the opportunity to leverage machine learning models swiftly and accurately without requiring extensive technical expertise or data science teams. By streamlining the data science process, organizations can accelerate their decision-making and gain valuable insights more efficiently.
While concerns about the impact on coding and software development jobs persist, it is clear that the focus is shifting toward strategic data analysis rather than solely model building. This transformative trend is set to reshape the market, empowering businesses to embrace AI capabilities and unlock new opportunities for growth and innovation.
