Skip to main content

Eight ways an MSP can help with an AI solution

Eight ways an MSP can help with an AI solution

AI, on its own, is a complex tool. It is also a tool that can be misapplied. Remember, the term artificial is key. To be used effectively and wisely, AI needs to be applied by someone with experience using it in your particular business. An MSP can offer the following to help you begin to integrate an AI solution into any aspect of your business.

Step one: Assess your organization's potential use of AI. Basically, with the holistic understanding of your business that an MSP has, they can evaluate where there is opportunity, and prioritize where to implement first

Step two: Understand your KPIs and organizational goals, from the top down. Before you do anything, it is essential to articulate your specific goals. What do you identify as the key strategies and how will you measure your success?

Step three: Propose a possible range of AI solutions. Here is an area where your MSP can be of particular value. An MSP will be knowledgeable about the variety of applications out there and lead you to select those most appropriate for your goals.



Step four: Estimate the solution’s ROI. Remember, measurement is important. And you can not do everything. So identify each potential AI solution's ROI. This will guide you to make the most effective use of your resources.

Step five: Ensure compliance: For example HIPAA, PCI. HITRUST. ISO27001, SOC1, SOC2. AI is a powerful and potentially intrusive tool. Compliance is critical.

Step six: Implement the solution. An MSP can implement the solution for you. Most business owners do not have the resources available for what can be a time-intensive project.



Step seven : Manage tool-related risks. This is a post-implementation issue that most businesses do not have the in-house resources to maintain long term. Examples of ongoing tasks include password management, security patches, and updates, as well as monitoring response

Step eight: Ongoing evaluation for effectiveness and reliability. Remember, nothing is stagnant in business. Technologies change, the competitive environment changes. Your organization moves forward. Make sure you commit to ongoing reviews of the effectiveness of your chosen solution.

In the end, AI can be useful. But with any powerful tool, it can cause a lot of trouble if used by an organization without experience. Small to medium sized businesses lack the in-house IT resources and depth of knowledge to implement and maintain an AI infrastructure. An MSP can bring that to the table.

Comments

Popular posts from this blog

Leveraging your business data to drive better business outcomes

Leveraging your business data to drive better business outcomes Smaller firms may hear about AI and how data is driving the big corporations of the world, but they often don’t realize that they can do the same. The size and age of your business doesn’t have to be a limiting factor in whether you use data. Today’s blog is a quick look at data management for the small firm. The first lesson is: don’t take your data for granted. The basic business model for some large IT companies is monetizing the data that they collect. While this may not be your goal, you probably collect a great deal of data about your customers, prospects, and operations. An MSP can help you make better use of that data. Here are just three examples: Marketing Data tells you who is interested, when they're interested, and in what they are interested. Data can tell you where each individual prospect sits in the sales funnel, so your marketing messages reach them exactly where they are. It can also track the...

Why Migrate to the Cloud

Why Migrate to the Cloud If you haven't already considered migrating your data storage to the cloud, you are probably in the minority of businesses. While it may seem intuitive that somehow your data is safer if it is stored “ at home,” on location at the site of your business, that probably is not correct. Given the ability of skilled cloud service providers to provide redundancy and a level of security unattainable by a small business, storing all your crucial business data on site using in-house support is probably akin to keeping your money under the mattress instead of a bank. In this blog, we’ll explain what cloud data storage means, and some reasons why it may be a good business decision. In addition, we’ll quickly note some reasons some people get nervous about the security of cloud storage. What is cloud data storage? In an earlier time, a business would store all of its data on-site. Individual employees might keep all of their Word and Excel documents filed on their PC. ...

Protecting Your Data on the Cloud

Protecting Your Data on the Cloud Cloud storage has transformed the way businesses store and manage data, but for some, it also raises concerns about data protection. This blog post discusses a few security measures that can be deployed when using cloud storage. Data Encryption One of the fundamental security features of cloud storage is encryption. It ensures that your data remains confidential and protected from unauthorized access. Cloud storage providers use encryption algorithms to protect data both during transit and when stored in their servers. This means that even if an attacker intercepts the data in transit or gains access to the storage servers, the information remains unreadable. Encryption adds an extra layer of security, ensuring that your data remains confidential and secure. Access Controls and Identity Management Concerned about access to data? Cloud storage providers offer access controls and other mechanisms to prevent unauthorized access to your data. These feature...