How to Partner with a Top AI Solutions Company

 

 

Artificial Intelligence (AI) isn’t a ‘growing force’ or something for the future – it is here and taking center stage in countless business plans. Leaders of all industries are embedding their products and services with AI technology. Be it your favorite retail store offering personalized searches on its app or chatbots that help you navigate business websites – AI is having its moment and will continue to do so for the next ten years.

 

But, the general conception regarding AI is still detached from reality. Small businesses, in particular, think AI tools can only help the big players like Google, Microsoft, Facebook, or Salesforce. They’re still not aware of how AI tools can make their existing tech devices smarter and help unleash the power of all the data they collect.

 

Don’t think a top AI solutions company can add AI algorithm layers into your business software or private cloud platforms? Think again! Partnering with AI companies to boost your business intelligence (BI) has never been easier. Here’s how businesses with no inkling about AI and its uses should approach the prospect of successfully integrating AI into their organizations –

 

Learn about AI and How It Can Address Your Specific Business Needs

Firstly, learn as much as possible about the capabilities of modern AI tools. Capitalize the free resources on the internet. If your business has a tech department, ask your professionals to visit OpenAI, a website where recent achievements and updates in the field of AI and Machine Learning (ML) technology is posted every day.  

If possible, visit online workshops or take online courses to learn how ML can equip your organization with predictive analytics capabilities. After getting a gist of what tools and technologies your business can use at the moment, create a list of specific use cases.

 

A top AI solutions provider will assess your existing tech systems and problems. Then, they’ll demonstrate how tools like ML or image recognition may help those systems. So, asking such a company for a demonstration or an on-site workshop is a good idea.

 

How AI tools can help a business varies based on industry and the business’s capabilities. For instance, for a manufacturer of glass windows, ML tools can be used to automate resource allocation processes.

 

Set Time-Specific Goals

There’s an unambiguous difference between expectations and present abilities. Most businesses that don’t use AI tools are likely in no position to automate major business functions and processes within the next year. Knowing your organizational capabilities and setting a time frame is the first step towards full-scale AI implementation.

 

AI implementation can take a long time. During this time, you’ll have to modify various internal processes. Hence, all businesses will need time to assess the long-term financial benefits of possible AI implementations. Instead of over-thinking what AI can do for your business, prioritize.

 

Look at the most feasible options first. For instance, adding AI-powered chatbots to your business website is a good way to start your journey towards full-scale AI implementation.

 

Invest in Pilot Projects

After assessing what your business needs to do to be ready from a tech standpoint, start experimenting. Invest in small-scale pilot projects. Many AI solutions providers and consultants are more than willing to offer demonstrations and mini-projects to learn the true potential of AI adoption in your organization. Here’s how you can set-up a pilot project –

·         Set up an internal team of three to four people.

·         Ask this team to collaborate with outside AI experts and consultants.

·         Set straightforward goals for this small team.

·         Execute the pilot project.

·         Determine which aspects of the pilot project you want to implement in the long-term.

Before taking this small but vital step, ask both your internal and external team members for their feedback.

 

Focus on Data 

AI algorithms are ever-improving only if they’re fed huge volumes of data. The more data you allocate to your AI system, the more accurate its computing. But before feeding this data, you’ll need to create clean data.’

 

Clean or structured data is the type of data that ML and AI tools can understand. Typically, businesses have their commercial data spread across multiple legacy systems. Sometimes, businesses may not have their own data. For instance, if you have a third-party accounting software partner, the company is likely using your data to better its services.

 

Stop these data losses by creating an internal team dedicated to handling your commercial data. According to a recent Gartner report, 50% of businesses are ‘data illiterate.’ They don’t know how to convert data into business value. Your organization shouldn’t belong on that list.

 

Start the Journey 

One step at a time, start applying AI and ML tools to all the data your data management team collect. Use these tools incrementally. Don’t throw piles of data into your AI systems. Give it specific objectives and then expand accordingly.