AI Made Easy

1/9/2019
Most executives know that artificial intelligence (AI) has the power to change almost everything about the way they do business — and could contribute up to $15.7 trillion to the global economy by 2030. But what many business leaders don’t know is how to deploy AI, not just in a pilot here or there, but throughout the organization, where it can create maximum value. The “how” is the sticking point with any emerging technology, and AI is no exception. How do you define your AI strategy? How do you find AI-literate workers or train existing staff? What can you do to get your data AI-ready? How do you ensure your AI is trustworthy? To complicate matters, the answers to these questions often vary from one company to the next — and the environment is continually evolving. But businesses can’t wait for the dust to settle. AI adoption will accelerate in 2019, and Oxcyon is prepared to deal with it, for any organization.


AI reality check
There is a lot of hype around AI, and vendors like IBM, Microsoft and Google want to have you believe that they alone can 'sell you AI'. Oxcyon disagrees. AI is not something which is built, or licensed, it is something which is developed by each organization uniquely. To Oxcyon, AI are the unique rules, conditions, and process of your business. The only problem is that there is nowhere to manage, store, and edit these rules. What you need is a platform, which manages not only your knowledge, and links to your many sources of information- but ALSO a rules engine relating to 'when' to present 'what' information to 'whom'. Centralpoint AI Assistant allows you to set these rules; over your users, your information, and when it appears. 

I think it is important to step back and analyze the term "Artificial Intellgience". Artificial anything is typically less than or sub standard to the original version which is organic and not artificial. In your business this would mean the normal intelligence gained by battle worn users who have gained real intelligence over a  long period of time, exposed to recurring issues. Any good nutritionsit would tell you that food containing artificial ingredients should be avoided as it is bad for you. So, why is Artificial Intellgience in such demand? Many I talk to point to sophisticated algorithms, from some brain like Watson, by IBM as the solution. In reality, Watson knows nothing about your unique business processes, until you train it on your specific way of doing business. Integrating your 'secret sauce' with a core knowledge repository like  Watson, could be tantamount to giving IBM the keys to control your business; allowing IBM to inadvertently help your competition, by leveraging your lessons (learning captial) to help others for a handsome fee. It is my belief that your intellectual capital should be kept very close to the vest, protected at all costs (from those in the AI business) to access it and to potentially re-sell it to others. Yes, there are certain industry standards which all businesses within a specific vertical can leverage, but at a certain point....it your unique process which allows you to successfully compete against others. Centralpoint AI Assistant acts as your private rules engine, which gets smarter, with each new condition you add to the engine. 

Who needs AI the most within your organization?

Likely the ones who need AI the most are those with the least amount of knowledge. This is usually those on the front line of your business, communicating directly with your customer relationships; customer service representatives, help desk, sales, and technical support. These soldiers are the farthest away from the officer's tent, and are unfamiliar with the quickly changing regulation, rules, processes, and problems identified in the bottom line. These less knowledgable resources are the ones who likely need AI the most. The problem is they typically don't know when to even ask the right questions, when they should be; again, because they lack the knowledge.  

If you have even seen the televsion series, "Undercover Boss", you will see CEOs going incognito, serving side by side with the front line of their business. In each episode, they learn of valuable lessons which could only be seen on the front lines. These CEOs return to HQ afterwards, armed with big changes for corporate to help streamline the operations, and generally reward someone on the front lines who has empowered them with this knowledge. These anomolies cannot be gleaned in the business intellgience or analytics, because no one knew to even look for it in the first place.  

In my opinion, every business needs to step through this process to truly understand and leverage what artificial intelligence is, and how to use it. Spend an entire day sitting next to a customer service representative or entry level sales rep and you will see countless opportunities to automate their access to information using AI. It will ultimately boil down to empowering the least knowledgable resource, with the most knowledge....automatically. You will also see that without the intelligence or knowledge, they sometimes don't even know what to ask, or where to look to remedy their problem.  This is precisely where AI should start. Giving these users  automated access to only the information they needed, "when" they need it, without them having to ask. Centralpoint AI Assistant does just this, allowing you to set these rules and conditions, so should anyone be facing 'x' problem, they will be given 'y' or 'z' solution options and in priority of which solution will be most helpful, based on the historical patterns of similar issues. 

Said another way, you need to make the least knowledgable person in your company, the most knowledgable; and do it as quickly and easily as you can. This is where Centralpoint AI Assistant comes in. You need to spider, index and aggregate all of your company's data into a central platform, so that when certain users need access to it, they will have it, based on conditions which are completely unaware to them. This suggests that you need to manage rules, logic or conditions to insure that when 'x' (<, =, >) 'y', the user will be served with 'z'. In this way, any scenario encountered, is entered as a rule, that is one less scenario that will ever be a challenge to the next employee. Centralpoint's AI Assistant acts as a repository against these many rules, in which to serve knowledge to the right user (by role), should that combination ever be encountered again. Think of it as middleware which allows you to program rules, without being a programmer.