Human beings possess unique traits such as creativity, empathy, inventiveness, and imagination, which machines cannot replicate. Embracing the right AI tools can enhance these human capabilities, enabling people to achieve more.
Business users across various industries can benefit from a multitude of AI solutions. For instance, subject matter experts like researchers and engineers can leverage AI to apply their expertise more effectively and efficiently. They can also create their own AI models or integrate them into applications using no-code platforms, turning their innovative ideas into reality.
Here are some ways anyone can engage with and even create AI to achieve greater results.
AI for Reasoning
Today’s landscape offers a wide variety of AI models. Typically, workers access these models through specific applications designed for particular purposes. However, in fields requiring deep expertise, there’s a need for flexibility to adjust approaches based on new ideas or evidence. Having the ability to access and utilize a range of AI models for different purposes and information sources is crucial.
AI for reasoning is especially valuable for those with critical business expertise, such as researchers, operations managers, field technicians, marketers, and business developers. With robust AI applications, they can apply their knowledge more efficiently, accelerate learning cycles, and deliver impactful business results at an unprecedented pace.
AI for Researchers and Subject Matter Experts
There are three key areas where AI aids researchers and experts:
Empowering Experts: Enabling them to apply their deep knowledge more effectively using AI.
Enabling AI Collaboration: Facilitating teamwork among professionals through AI tools.
Driving Enterprise-wide Transformation: Utilizing AI to bring about significant changes across an organization.
Case Example: Shoes Inc.
Shoes Inc., an innovative shoe manufacturer, showcases the application of AI for strategic decision-making. They harnessed AI to analyze existing design patterns, sales data, and customer feedback, leading to the creation of numerous unique shoe designs. Their design team then meticulously refined these AI-suggested concepts, blending their artistic sensibility with AI’s analytical power to push the boundaries of shoe design and customer appeal.
Building AI Without Code
At Shoes Inc., business professionals can now develop their own AI models or integrate them into applications using no-code platforms. This democratizes AI, allowing team members to enhance their workflows and add AI functionalities to their projects, regardless of their technical background.
For example, a retail manager at Shoes Inc. might use no-code AI tools to assess customer reviews. This AI-driven approach can categorize and analyze customer feedback, providing valuable insights for improving product design and customer experience.
No-Code AI Capabilities in Development Platforms
Leading development platforms have introduced no-code options for AI model creation. With user-friendly tools like AI Builder, Shoes Inc.’s staff can independently design, deploy, and manage AI models using intuitive templates and step-by-step guidance, all without needing to code. There are also pre-set models available for common business scenarios.
The use of low-code tools is on the rise. Predictions suggest that by 2024, more than 65% of application development will involve low-code platforms.
At Shoes Inc., employees can leverage customizable templates to build their own AI models for various purposes, such as:
- Form Processing: Automating the extraction of data from forms, utilizing example-based learning.
- Object Detection: Counting, locating, and identifying specific objects within images, which can be integrated into apps like PowerApps for real-time data capture.
- Prediction: Analyzing historical data to identify patterns and forecast future trends in shoe design and sales.
Pre-Built AI Models
Team members at Shoes Inc. also have access to ready-to-use AI models that don’t require specialized training or customization, including:
- Business Card Reader: For extracting key information from business cards.
- Sentiment Analysis: To gauge customer sentiment from text data, providing insights into public perception.
- Text Recognition: For converting text from various formats into digitally accessible data.
With these accessible development platforms, Shoes Inc. empowers its employees to tackle business challenges directly by creating tailored AI solutions.