The things you know about your business are the assets, processes, and strategies that make it function, be productive and thrive. The thing you don’t know about artificial intelligence (AI) is how it uses your deep enterprise knowledge to enhance your company’s progress toward its goals.
Don’t let your ‘AI innocence’ interfere with your decision to embrace it as your next, best corporate investment. Datavail’s AI experts can help you connect your organization’s strengths with the AI programming that will take it exactly where you want it to go.
Clarifying the AI Concept
There is much confusion these days about what AI actually is, how it works, and how it helps companies do better. There are many things, however, that it is not:
- It is not ‘artificial.’ AI is based on actual, relevant, and timely data that is structured for optimal access by the users who employ it for their specific purposes.
- It’s not ‘intelligence’ either, at least not in the way human intelligence is measured. Instead, it’s a series of software programs that coordinate ‘knowledge’ (data) to establish compatible relationships between datasets. When the rules governing those coordinating efforts are accurate for their purpose, the computing process can make appropriate connections and determine appropriate and precise responses to specific queries. To the non-programming end user, the result of the AI-assisted computing process looks like the ‘intelligence’ they would experience if they asked an expert the same question.
- It is also not ‘one size fits all.’ Most companies use ubiquitous software programs like Word™ and Excel™ because they are adaptable to meet virtually every company’s business needs. AI programming is designed to meet the needs of the specific singular company, so it’s not even capable of being distributed on a disk or as a download. The programming is unique to the company’s goals, processes, and activities, so every instance is as finely tuned and arranged as is the business itself.
So, if AI is not all these things, then what is it? In essence, AI creates a digital version of the architecture and infrastructure of your company that mirrors its physical reality but performs at a much deeper, more comprehensive level.
Corporate Data is the Foundation of AI
As noted above, you’re very familiar with the workings of your enterprise, and you’re appropriately tracking its data every minute of every day.
- You consider sales and inventory data before making purchasing decisions.
- You evaluate your labor force costs before adding new products or production lines.
- You are keenly aware of the supply chain issues that impact your outputs and revenue streams.
It’s the work that you’ve put into and your deep knowledge of your company and its value to the community that has grown it into the success it is today.
But what if you didn’t have to spend that much energy tracking all your organization’s hustle and bustle? What if your corporate software was doing all that assessment and analysis for you? What if you – as a business leader – could just receive analyzed reports about corporate activities and evaluate those as the basis for business decisions for tomorrow? And next year?
You can, through the application of AI programming.
Data Models Shape the Structure of AI
Assessment and analysis of relevant data to drive accurate, actionable decision-making is the precise purpose of the AI investment. Designers develop AI software to meet the specifics of the company that will use it. They evaluate all the nuances of corporate activities, from production elements and capacities to market demand to workforce requirements, then generate a series of algorithms that both capture all that data and also build pathways through the relationships between them. And to determine how best to maximize those relationships, they then build ‘data models‘ that reflect the business’s processes and test those for decision-making accuracy and efficacy.
It’s in the design phase of AI adoption where you – the business leader – and AI developers collaborate together. Your inputs are critical to the AI project’s success because your knowledge of your company is where the design of its AI implementation begins. The designers will generate unique data points that correlate to the elements of the company and how it functions to build a digital twin for AI programming purposes:
- Its products: Each product is unique, both as an actual item and as a sale event. Data related to ‘product’ might include its physical components (weight, volume, size), its materials (what it’s constructed of, including aspects that may rely on supply chain reliability), and its location (off-shore, warehouse, back room.)
- Its buyers: To ensure you’re meeting your customer’s needs, you’ll want to know more about them as individuals. Have they purchased from you before? Did they have any problems with their sales experience? Have they offered feedback? A well-designed AI program will give you that data.
- Its productivity: Supply chains, manufacturing plants, logistics, and labor force data all shape the ultimate financial success of a company. When each of those corporate aspects functions well, the company can thrive. It’s when they don’t do well that problems arise. Your AI program can help you see where supply chain bottlenecks are occurring, where production plants are faltering, and where your labor costs are too high – or too low.
AI designers can build a digital model of your physical enterprise, then ‘tune it’ to provide the precisely relevant and accurate data-based reports you need to make your best decisions. While the actual AI adoption process may take time at the front end, the values and opportunities it promises on the back end are almost limitless.
You do know all there is to know about your business. And now you know why Datavail’s AI professionals are your best opportunity to take that knowledge into the digital realm by harnessing it into an AI application. Datavail’s AI experts help their clients define their organization’s ‘AI relevance’ and then build that physical reality into its digital twin, maximizing the value of its data and projecting it forward toward its goals.
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