Can a small business use AI?

Can a small business use AI? One area where AI tools can help even the smallest business is in sales and marketing. Every business is marketing and selling in the online digital world. Marketing on social media is a given for every business, and can be a game-changer for a small startup. However, a lot of the tasks of marketing on social media and through your website can involve tedious, time consuming tasks. Marketing tools that use AI can help with drip email campaigns, website visitor tracking, and understanding where each customer exists in the sales funnel at any given moment. Other digital tools that increase customer engagement and drive sales are available and are an excellent introduction to AI as a marketing tool. Using these tools, you can focus your limited sales resources on other, more critical tasks such as closing a sale with a customer that is now ready to buy and not simply exploring vague options. These AI tools are readily available and your MSP can guide you in the adoption and use of them AI and that data you collect. An MSP or MSSP can also be a resource for data protection. As you begin using such tools, you amass enormous amounts of data about prospects as well as customers. How you hold, use, transmit and store this data is subject to some data regulations, either by your state, a federal agency, or even the European Union. Regulation is growing because of the increasing concern about an individual’s online privacy. Because so much personal data is being collected about each of us, there is increasing...

AI: Can you avoid the risks it carries?

AI: Can you avoid the risks it carries? Are there risks to AI? Absolutely. There are end-of-the-world predictions about the use of IA. For a business, many of the risks are a bit less extreme, but they are also very real. For example, in the area of content creation. There are a variety of risks that you open yourself up to. One of the key ones is the trustworthiness of the content created. You rely on generative AI to create an accurate explanation or description of a topic, event, thing, or idea, However, can you, in fact, completely rely on that? The answer is probably a qualified no. The level of “qualified” depends on a variety of factors. Your AI generated content is only as good as its sources, and that can create real questions for readers. Also, an organization using AI to create any type of video, text, image, or audio content needs to be concerned that it may include proprietary information that you need permission to use. Could material created by generative AI suddenly veer off into copyright infringement? AI is also being used in areas such as recruitment. However, there has been research suggesting that bias can sneak into AI decisions as a result of the source data the tools are using. Bias is a concern not limited to the one example of recruitment. It can have consequences in areas where AI is making marketing decisions, and can taint medical and legal recommendations AI might provide. As a result AI cannot go “unmonitored.” Review by humans and other tools is a best practice that is needed...

AI Is All Around Us

AI Is All Around Us IT seems it is virtually impossible to avoid hearing about Artificial Intelligence (AI). Ever since ChatGPT hit the market, AI has become a never ending source of news, articles, advertisements, and lots of gloom. Artificial intelligence isn’t exactly new–the term goes back to the mid-1950s. Artificial Intelligence is a broad term and encompasses a few different subsets of processes. Generally, it refers to machines or computers doing things that we consider a skill limited to human intelligence. What has caught the public eye is what is labeled “generative AI”. Generative AI (e.g ChatGPT) refers to the AI tools that can create content, music, images, code and voice. One of the reasons generative AI is so widespread in its applications is that it doesn’t require coding skills for a layperson to use it, instead the user can instruct the tool to create content by using natural language. Questions about generative AI – The media has certainly been filled with concern about AI and has raised many questions about areas where we potentially interact with it. How do we know the content we are reading is accurate and can be trusted to have come from reliable sources that have been vetted for accuracy? Can it be used to create misleading information that could misdirect our understanding of social, political, cultural, legal and other issues that affect the well-being of society? Others worry it could displace whole sectors of human labor. These are heavy questions best left to another venue of discussion. Where is the average person interacting with AI? We interact with artificial intelligence everyday in...

AI: Of any value to an SMB?

AI: Of any value to an SMB? Artificial Intelligence (AI) has been all the media rage in the past year. Specifically, it isn’t AI in general, but a specific category of AI known as generative AI. This AI is capable of creating content, such as text, images, audio and similar data. Examples of generative AI tools can create content, music, image code, and voice. What this can include are documents that are used for marketing and other content on websites, as well as images, video, and audio. What made generative AI more widespread are the tools that use natural language to utilize them. It doesn;t necessarily require expertise in coding anymore. The generative AI tool that hit the news and has everyone curious about this development is ChatGPT. This allows any user to create conversations, answer text, and similar “written responses.” ChatGPT and similar tools are available to almost anyone. Of course if you follow the news, there is much excitement about the potential of generative AI. It may be used to facilitate faster customer service, help attorneys evaluate large quantities of legal documents and propose new approaches to cases, medical professionals diagnose, and on and on. It also raises lots of concerns. How does one know that the content created by generative AI is accurate and can be trusted? Can it be used to create misleading information, such as deceptive statements that could alter someone’s understanding of a political, cultural or medical issue. And there are others who worry it could displace whole categories of human workers, but that question isn’t our worry here. One place where you...

IT isn’t just about filling seats

IT isn’t just about filling seats No matter the size of your business, no matter what the product or service, your company is at least partially reliant on technology to survive and function in today’s marketplace. It is just unavoidable. A significant portion of everyone’s business is online in some fashion or other. And internal operations and administration are dependent on databases, servers on-line access, etc. A large and diversified company has the depth of staffing to fully support all of its IT infrastructure needs. Unfortunately, this is not the case with small- to medium-sized businesses, and it is absolutely not the case for recent startups struggling to get a foothold in the market. SMBs are generally forced to focus all of their resources on the operations that drive revenues. For example, how many small firms have a trained human resource practitioner on board, even though the lack of one can leave them vulnerable to a number of legal and staffing issues? Very few. They just don’t have the resources to devote to anything that isn’t sales or a critical line operation. The same tends to be true for an IT infrastructure support staff and the personnel “required” to support it 24/7. The question then arises, how does an SMB begin to bring on the necessary resources to support their IT needs? A common solution is to bring on a generalist who will act as the IT director/manager and then that person will bring on additional, more specialized staff as revenue growth permits. This is a pretty standard model for addressing IT support needs for a growing SMB. But...