User input merged with automation – the AI way of getting things done has taken the world by storm with businesses eager to tap into the potential of this new technology. Will generative AI really allow businesses to reach their customers better?

AI no longer is the rookie in the market, it has been able to prove itself as having the potential to increase business productivity, efficiency, and opportunities while simultaneously lowering costs. Has your business tried it yet?

Competition is a part of business that not only serves to keep business owners on their toes but also keeps raising the bar. Each business competed on giving the best product at the best value; and now, with the best customer service. It is no surprise then that AI has been discovered to be a tool that can be easily incorporated into leveraging business profits by boosting productivity. Like most technologies, AI serves to reduce the effort and thus, the time involved.

Also, it can help support businesses by reducing the pressure to hire more staff or the outsource of tasks that can be automated. After all, digital solutions have been widely accepted to solve business problems.

Intelligent Healthcare Solutions for Remote Treatment

Modoscript partnered with Sunflower Lab to improve the remote health monitoring of chronically ill patients through IoT. Instead of keeping to the usual pen-and-paper record approach, they have EHR and patient treatment data updated in real-time through Galen data. Through smart healthcare, it becomes possible to monitor the frequency and timing of when patients take their medication as well as monitor their vital health details.

What is Generative AI?

At its most basic, generative AI can be best described as a set of various algorithms that are able to generate content that appears to be innovative and unique. These algorithms are built on foundation models. These models are trained on a large store of uncategorized data so that a lot of different tasks can be accomplished upon the identification of the underlying patterns.

Key Points from the Google Developer Conference, I/O 2023

It was no surprise when Google introduced its new generative AI-powered features that are set to change its core functionalities like Sheets, Slides, and even Gmail; as well as its chatbot Bard.

“AI is having a very busy year, so we’ve got lots to talk about…”

– Sundar Pichai, Google Generative AI’s content creation features will be tapped into with Gmail having a “help me write” feature added where AI will do the thinking and typing based on user input. So, if you find typing an email a hassle, help is on the way. Furthermore. AI and AR combine in Google Immersive view which makes Google Maps not only more user-friendly bust also more informative.

Google has long been considered a technological leader and thus, the time and thought Google has put into AI gives one clear message: AI is a technological frontier to be explored and has the potential to benefit multiple industries. The constructive use of AI can be a business game changer.

The Concept of Generative AI & its Impact on Businesses

Businesses have always had to deal with the competition. However, while technology and digital solutions on the one hand make things easier, on the other –they can complicate things as well. Instead of merely staying abreast of competitors, businesses now need to also stay on top of technology trends. When ChatGPT was introduced earlier this year, people were unsure about how it could be put to actual business use. And now, AI tools and chatbots with such NLP features are on the rise as substitutes to human customer care representatives. For more information on integrating AI chatbots into business read our blog on: Enhancing Customer Support by ChatGPT & Java API Chatbots

Find the Right Light Bulb Every Time!

Philps has a tagline, “Innovation & You,” & it has indeed lived up to that with its amazing lighting solutions. However, with expanding markets and changing lifestyles, Philips realized that a lot of its clients preferred making purchases from the comfort of their homes. While online shopping is easy, finding the right light bulb can be challenging.

Partnering with Sunflower Lab, Philips was able to provide its customers with an assurance that they would find the right light bulb every time!

How? Through AI of course! And thus, was created Philips Lightfinder powered with AI & AR which not only allows customers to choose the right light bulb but experience how the light will brighten up their homes. After all, to quote Philips: Home is where the best light is!

Applications of Generative AI on Businesses

There is a lot of diversity in what generative AI stands to offer. From integrating with IoT and Big Analytics for better treatment plan optimization to chatbots for customer support, versatility is a part of artificial intelligence.

1) Content Creation and Design

AI initially attracted people’s interest with its content and design capabilities as both tasks are quite time-consuming. Apart from regular content creation like blogs and articles, businesses have found generative AI to be a helpful tool in the creation of emails and social media posts. It facilitates the communication process and reduces the time and effort involved. Furthermore, its design capabilities extend to the creation of graphics and logos which are tools useful to most businesses’ applications.

2) Personalization and Recommendation Systems

Generative AI tools are also useful for creating a more personalized experience as they can generate recommendations based on user preferences. This is extremely helpful in e-commerce. Businesses can provide a more engaging and customer-centric experience through the analysis of user data. From this analysis behavior patterns and preferences can be generated and machine learning models can be further streamlined. This personalized approach of generative technology is perfect for creating chatbots that appear to be more human.

3) Data Augmentation and Synthetic Data Generation

Machine learning models benefit from interaction as datasets are required to train these ML models. Generative AI can be used for data augmentation and synthetic data generation. Through the generation of these additional data points the machine learning models benefit from a larger & more diverse dataset.

The Future of Generative AI Tools in Business

While the advantages of generative technology have already been outlined in this blog, the question still remains what future do generative AI tools really have in the world of business? Despite being a digital solutions specialist, even our team of experts cannot hazard a guess as of now. Technology has a way of evolving and surpassing even our wildest expectations, so, it would be safer to say, that as machine learning models evolve, they will be further able to enhance the automation of business processes.

As NLP models fine-tune further, there will be even more business possibilities opening. Automation, artificial intelligence, big data analytics, and IoT are not industry specific. Our team has worked with international brands, small to medium enterprises, and start-ups for the same across industries.

Success Stories: The Advantages of AI in Applications

A New Way to Find the Right Bulb

Customers more often than not land up with the wrong choice of bulb. Using AI & AR technologies, Light Finder makes finding the right bulb from the comfort of one’s home a possibility as it eliminates the guesswork involved.

View Case Study
A new way to find right bulb
Re-Inventing Healthcare With IoT For Better Patient Outcomes

Redefining Remote Patient Care with IoT & Big Data Analytics

Remote treatment monitoring of patients with real-time data updates on patient health for doctors without the hassle of paperwork & powered by Galen data.

View Case Study

How Data Augmentation & Synthetic Data Generation Impact Business Profits

Generative Artificial Intelligence and Artificial Intelligence on the whole come with a disclaimer – the data may not be accurate at all times, or it may only be able to reflect information as per the data resources that have been trained into the system. The more diverse generative AI is to become, the more data augmentation and synthetic data generation will gain importance.

By tapping into the manifold potential provided by generative AI tools, businesses can improve not only their functionality but also their profits. AI is there to stay and hence, either a business can stay with the times and integrate itself with this new technology or watch its competitors get ahead through their leveraging of AI’s versatile features.

When it comes to data augmentation, the benefit is in terms of fine-tuning the machine learning models by providing them with more information at their disposal. Synthetic data generation also helps improve AI as it provides it with data sets that were created so as to train the machine learning models further. Of course, AI still has a lot of ground to cover but as its exposure increases, the NLP and human speech element improves, and this is what provides users with a more natural and personalized experience.

To AI or Not to AI?

With the advent of AI there definitely has been a great change in the way businesses operate and their expectations from digital solutions. At Sunflower Lab, our team of experts is dedicated to being partners in our client’s digital success and not vendors. Hence, they are interested in knowing the ‘Why’s’ and building from the perspective of what the business requires instead of merely cutting corners with quick but basic development.

Do you have digital solutions products in mind, or do you want to explore the possibilities of IoT, Big Data, or AI in your business? Our team would love to talk to you! Contact us today!