Tech

Simplifying AI can optimize your entire business


Artificial intelligence is increasingly becoming a future technology and an integral aspect of today’s business landscape.

The use of AI across the business world is revolutionizing every industry, and Gartner reports that at least 75% of organizations using deep neural network today.

In the finance department, AI is Automate important tasks and reduce errors in traditional manual workflows.

AI’s Unfounded Fears

There’s no doubt that businesses using the right AI for the right reasons are benefiting exponentially. Unfortunately, not every business unit is excited about the AI ​​solutions available to finance departments. Change management is a significant failure component when implementing any transformation technology.

Many people still have unfounded fears about it gaining attention or displacing them, and workers are wary of becoming obsolete once their daily tasks are automated.

But that has never been a matter of AI, machine learning and automation because they enhance human intelligence.

Humans are still essential

Take for example OpenAI’s GPT-3 and Dall-E 2 text and image generation models. While they can create a 1,000 word blog post with images within seconds, there can be a lot of liability issues if you publish raw content generated by one of these models directly. on your website.

Content is never 100% accurate; Human interaction is still essential to training, implementing, and using AI across the enterprise.

Simplifying AI for the average worker

AI data sets and outputs need to be accessible at all times, and making them accessible means tapping people across the organization to apply their expert judgment to them. with data sets. This provides the speed, variety, and authenticity of the machine as it learns.

AI in the finance department

The use of AI in finance departments is very successful because payroll, compliance, accounting, tax, etc. are complex – especially when you are a multinational or using remote global workforce Unlocked by the pandemic.

Extended dataset

But you can import extensive data sets into the AI ​​to make it more useful. Streamlining all of this and optimizing processes not only reduces errors, but also frees up workers to perform more advanced analytics closer to the reason they entered the industry in the first place.

How simplifying AI can open up possibilities of use

Simplifying AI for casual workers means they can focus on less expensive tasks, be more creative, and get more done in less time.

GPT-3 and Dall-E 2 may not have perfect, production-ready output, but they do use neural networks on large datasets with about 175 billion parameters on 45TB of text data. Therefore, they are perfect for idea and concept forming work to get a solid visual image of the final product.

Overcome

Although their outputs appear to be very different (text versus images), both OpenAI creations work similarly. While it may seem like AI leads to faster advancements, what actually happens is that we discover an important concept that opens the door to new possibilities.

This is why getting technology into the hands of as many people as possible is important to see how others use it in the outputs it produces.

How AI brings more value to businesses

As the quality of content-generating AI debates rages in the media and online forums, the use of this technology for internal business functions is even more remarkable. .

New ways of looking at things – skilled data scientists

Enterprise-wide AI continues to open up new ways of seeing and enabling skilled data scientists to develop complex models to predict anything you need to know – from machine health to operating conditions. market conditions and possible forecasts.

Enterprise-wide AI can and will go beyond personal assistants, voice-to-text, and personalized recommendations to bring value to individual employee roles.

Better use of time

Leveraging specific AI technologies across the enterprise helps employees at all levels work only on tasks that cannot be automated. This includes handling exceptions to the rules (which will always be), parsing AI-generated outputs, and more.

Instead of spending every day manually assembling reports, we analyze pre-generated reports and make advanced intelligent decisions.

Using artificial intelligence

When GPT-3 and Dall-E 2 were released, both writers and Designers fear for their work. However, those fears were allayed as they experimented with the tools and became more comfortable with them. These tools can do great work to assist writers and designers, but it still requires skill to understand how to drive it for desired results.

An expert can edit and polish it throughout the process in a variety of ways that will always require human instinct.

And an experienced photographer or graphic designer will get higher quality outputs and know how to fix them in posts.

Focus on higher priorities

Familiarizing yourself with these types of tools helps to better understand their true capabilities and how they can be implemented into existing workflows while finding better, faster, and more optimized ways to do the job. It’s like that Finance department leverages AI to complete the most difficult and error-prone aspects of their work so they can focus on more important things.

And it won’t be long before AI will change every aspect of every business.

Featured image credit: Sergey Zolkin; Unlock; Provided by Author; Thank you!

Melissa Chan

Customer Success Manager at MindBridge

Melissa Chan is the Customer Success Manager at MindBridge. She has been on a mission to innovate accounting and auditing.



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