Discover the 5 crucial challenges for increasing productivity in the manufacturing sector with AI implementation, and how to solve them.

In our previous blog post, we shared the experiences of three companies that incorporated artificial intelligence into their operations, improving efficiency through innovation. These successful examples can serve as inspiration for manufacturing leaders looking to implement AI-driven solutions in their own organizations. However, questions and concerns about the transformation process are common, as any business project must face various daily challenges.

In this blog post, we will also present several challenges that may arise in the process of implementing an AI solution and suggestions on how you can address them to ensure a successful integration of artificial intelligence into your organization.

Generative AI increases the productivity of less experienced workers by 35%, according to the first study conducted by MIT and Stanford.

Adaptability is one of the strengths that every company must have possess. While all companies have defined goals and work methods, the reality is that in a constantly changing environment, all companies must update their practices and integrate new tools to remain competitive.

In recent years, we have witnessed one of the most significant technological revolutions, the arrival of artificial intelligence (AI). (https://andonix.com/press-release-meet-andi-the-ai-powered-manufacturing-chatbot-revolutionizing-factories/). This technology came to transform the way we work and help us be more productive in our daily basis.

Less experienced employees were the most benefited, completing their work 35% faster with the help of AI.?1

According to a study by researchers from MIT and Stanford in a Fortune 500 company under real working conditions, less experienced employees were the most benefited, completing their work 35% faster with the help of AI. This research demonstrates the potential of generative AI to improve the productivity of workers with little training instead of harming them, as previously believed.

The research suggests that the increase in productivity and performance of less trained workers may be due, in part, to how AI tools can absorb tacit knowledge that makes the company's top employees stand out, such as knowing what are the best practices to solve a problem or what technical documentation would be most useful to share in each situation, and then disseminating that knowledge to less trained or experienced workers through suggested responses generated by AI.

A recent survey of leading companies on LinkedIn found that nearly 70% claim that AI is already helping them be faster and smarter, and another 32% say they expect to see greater benefits from using AI in the coming years. Companies like EY explicitly listed AI as one of their top three hiring priorities, while Wells Fargo and Kaiser Permanente are implementing AI in their workflows.

More and more companies recognize the benefits of AI and the advantages that early adoption can bring to the entire organization. Many companies have already taken the first step to integrate artificial intelligence into their operations; however, there are several challenges that we must consider to achieve successful implementation. Below are the points you should consider before executing an AI initiative:??

1 Cost?

Challenge

Like any other project, an artificial intelligence initiative needs resources for its execution. Some market options may have a high cost or are designed to support very specific processes and tasks. This limits their benefits to a few areas or a few workers, making it very difficult to justify their implementation.

Suggestion

You should consider a flexible artificial intelligence solution that can be used by multiple areas and roles within the organization, maximizing benefits and obtaining a higher ROI.

2 Hardware Investment

Challenge

Some artificial intelligence solutions have several technical requirements to function optimally. This implies allocating additional resources to acquire devices with higher processing capacity, increasing data storage space, or expanding your network's bandwidth.

Suggestion

You can optimize the company's resources by selecting an artificial intelligence solution that can be used on the devices already available in the organization. We recommend opting for cloud-based solutions, which can be used from any device with internet

3 Adoption

Challenge

All companies have multidisciplinary teams with different skills, experience, and training. Many workers are already familiar with them, but not all feel comfortable using new technologies. If the artificial intelligence solution is too complex, many people may not understand its benefits, hindering its adoption.

Suggestion

If you want to facilitate the adoption of the AI solution you decide to implement, it must be intuitive and easy to use. You can start the implementation with those employees or areas with more experience in technology tools, so they can testify to the benefits of AI and help you accelerate the adoption of the rest of the company. You can also look for digital tools that your workers are already using and integrate AI to eliminate barriers and speed up adoption.

4 Training

Challenge

Trainings and workshops require one of the scarcest resources in companies, time. If the artificial intelligence solution is too complex to use, your team will need several training sessions, which will be difficult to coordinate with leaders. Additionally, the learning curve will be slower and it will take longer to see results.

Suggestion

Currently, there are several AI-driven solutions that are easy to set up and only require a couple of instructions to use. You can opt for AI solutions that allow users to have autonomy over the use and encourage self-learning.

5 Security and Confidentiality

Challenge

The unauthorized use of AI chats in the workplace is causing a stir in the business world, and for good reason. The use of these technologies without proper control and supervision can trigger a series of problems, from the exposure of confidential information to making inappropriate decisions based on incorrect data.

Suggestion

It is essential that companies monitor the use of AI in the workplace and offer authorized solutions to their employees. By doing so, they will be able to guarantee the protection of confidential data and comply with applicable regulations.

Andi an Innovative and Easy-to-Implement Artificial Intelligence Solution

Andi is the first AI-powered virtual assistant expert in manufacturing, designed to support workers in their daily tasks. Now you can automatically monitor all your indicators, as Andi can connect to machines, sensors, and your databases. With this information, you can solve problems faster and make better decisions.

With Andi, your entire organization will benefit from artificial intelligence, as it can support all areas, from operations to human resources. This is thanks to the extensive knowledge library that allows it to offer information on a wide variety of topics. In addition, Andi has the ability to learn the information from any type of document (manuals, policies, processes, formats, etc.), making it the most complete source of information for your company.

One of the most important features of Andi is its ease of implementation, as it integrates with WhatsApp. Your workers will not need to learn how to use a new , but rather make their inquiries from an app they are already using. You will also not need to invest in specialized equipment, as Andi works on any mobile device with internet.

Our goal is to make artificial intelligence accessible to all workers. For this reason, we have designed Andi to be an affordable solution for any company. Starting at just USD 250* per month, your organization can start benefiting from artificial intelligence.

Don't fall behind and take the first step towards greater productivity. Check it out for yourself, scan the following QR code, and start using Andi from your WhatsApp!

• Monthly price for 50 users

1-?GENERATIVE AI AT WORK Erik Brynjolfsson Danielle Li Lindsey R. Raymond Working Paper 31161?https://www.nber.org/papers/w31161?NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 April 2023

2- Workers are secretly using ChatGPT, AI and it will pose big risks for tech leaders?https://www.cnbc.com/2023/04/30/the-big-cyber-risks-when-chatgpt-and-ai-are-secretly-used-by-employees.html