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6 Things to Look for When Hiring an AI Consulting Company

A recent Accenture study shows that AI could boost profitability by an average of 38%. That’s a big boost in a time when markets are becoming increasingly saturated and the competition is fierce for new customers.<br><br>Here are a few things to look for when you start shopping for an expert AI consultant to help with your AI application project.

ChrisEvans1
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6 Things to Look for When Hiring an AI Consulting Company

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  1. 6 Things to Look for When Hiring an AI Consulting Company sales@arkenea.com

  2. Machine learning has been a growing technology for more than a decade … from chatbots to facial recognition, AI has developed to the point where it offers direct, measurable business benefits

  3. AI lets you work smarter by giving you smart technology to work with

  4. AI could boost profitability by an average of 38%

  5. 1. Types of AI Technology The first thing to remember about building AI applications is that there are many different platforms and development options under this umbrella term. Everything from the coding language used to the training library available will affect the final performance of your AI application.

  6. 2. Access to a Wealth of Training Data One of the biggest barriers to entry which AI development companies takes care of is the training time. It takes hundreds of hours and hundreds of terabytes of data to train an AI to do a single thing — like consistently recognize an apple. The more good quality, curated training data is available, the more you can shorten that timeline.

  7. 3. Knowledge of Neural Networks When building a network, you need an expert on network architecture. The same is true when you’re building a neural network for your AI. Neural networks are the foundation of your system, containing thousands of nodes full of historical data. In an image training program, simply providing thousands of pictures labeled apple or no apple, allows the system to understand what to look for in an image.

  8. 4. Types of AI Training New automation technologies make it easier than ever. Google just released Cloud AutoML, and IBM put Watson on the market for business use. Both of these platforms help streamline and fast forward the AI training process. Google - Cloud AutoML IBM - Watson

  9. 5. Blending Cloud, IoT and Networking Requirements Make sure the company you work with can build an application that doesn’t conflict with your existing systems (Cloud, IoT and network) You want something that will pull data and present solutions, not only act on a limited data set available through your network, missing everything stored on the cloud.

  10. 6. Niche Expertise in Your Area of Business AI automation has a lot of potential, but systems need to be purpose-built with a specific goal in mind. That often means performing internal assessments, and working with an AI consultant that also has management consulting experience. The challenge lies in finding the right team to help teach an AI the skills needed to understand and adapt to changing conditions.

  11. Thank you sales@arkenea.com

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