Using AI for customer service in your company is a definite method to save time and money. If you’re like most business owners, you’re constantly searching for fresh, creative ways to improve your enterprise. We’re here to inform you that improving AI customer service is a simple and rapid win.
If you have a team of software engineers and want to move them to Mac, you will need to consider a number of things before you do so.
What are some use cases for Artificial Intelligence (AI) that can help Business Intelligence (BI) professionals? In BI, you are tackling some of the most interesting challenges in finding win-win-win solutions in today’s constantly evolving environment. There’s a path to making companies more profitable, workers happier, and customers more satisfied. It’s often on you – the BI manager or analyst to find it. There are many ways AI can help in expediting your accessing and making sense of Big Data and automating tedious time-consuming tasks.
Almost anyone can get involved in solving win-win-win equations – to improve upon what they’re doing or help their teams perform better. Granted, not every company frames things in a win-win-win context, but there are few reasons why they can’t or shouldn’t with the proliferation of AI systems to help solve the equations.
BI is a term that refers to the technologies and strategies used to analyze data and provide a predictive view of a company’s business operations. In its simplest form, BI is the analysis of business data. The goal of BI is to give managers and business leaders a complete picture of the state of a company’s operations. Businesses can use BI technologies to gain these insights. These tools are useful in analyzing current and historical business data.
Some of the most common types of BI are: healthcare, education, and technology. Hospitals, universities, and corporations all use business intelligence to better serve patients. The use of BI is growing because the information it provides can help improve decision-making and increase overall efficiency. A business intelligence system can also help companies manage their costs and optimize production and efficiency. While this may seem a bit overkill, the technology is here to stay and will continue to grow in popularity.
BI is a tool used to transform raw data into actionable information. It involves a collection of technological processes that can turn structured or semi-structured data into useful information. The tools are often used to generate profitable business decisions. It can also be used to create reports for clients. If a client wants to build his or her own business intelligence, they can create custom dashboards. Regardless of the software used to generate the reports, it can be easily customized to suit their needs.
That’s surprisingly good, aye? Give it a few years…
“Show me the money!” Few arguments are more convincing than company profitability. For the travel and hospitality industry, but increasingly for retail consumer packaged goods (CPG) and even pharmaceuticals, Revenue Management (RM) or Revenue Growth Management (RGM) is getting a lot of attention. RGM is about optimizing product lines (architecture), prices, and promotions to steadily boost sales and market share.
In a traditional “manual” RGM program, it can take several six months or more to determine a 5- year pricing strategy for a given country. Some CPG companies are active in most of the world’s 195 countries, so the slow cycle time hurts. Everyone on an RGM team is likely to move on before they see a single cycle complete.
Our friends over at Revenue.AI are completely changing the RM/RGM game with AI-driven decision-making with their digital assistant (RAI). In a nutshell, it enables BI/RGM specialists to optimize prices and promotions on a “per product or SKU / per store / per country or region” basis, in real-time. It makes the decision-making process at least 10x faster with an exponential increase in granularity. With Next Best Actions, Stop Action, and Real-Time Alerts, it also keeps Sales, Marketing, and other teams aligned to organizational objectives. This knowledge sharing promotes cross-functionality and minimizes the impact of turnover.
Where historical “manual” RM programs have been hit or miss, so far AI for RGM is showing a fairly consistent (and imo, conservative) 3-5% yearly revenue growth. That may sound modest, but for large international CPG companies making billions, this adds tens or hundreds of millions more despite having few to no new markets to expand into. However, it also provides smaller companies the means to seriously compete against their larger counterparts.
Take Git and combine it with Potential and there you go – Gitential. We’re in the process of upgrading our analytics platform into providing an AI-powered Digital Assistant to help software development teams unleash their full potential… faster. All present and new subscribers are automatically enrolled in our Early Access Program so you can follow along and offer feedback to improve its usefulness for you.
Nearly everyone involved with software development teams stands to benefit – C-levels, BI and HR professionals, engineering managers, and developers. Though still in the early stages, you’ll be able to ask a question and receive a data-driven answer showing a visualization of the data, definitions of the data, a summary of the situation, and Next Best Actions – “Actionable Insights On-Demand.”
The following provides an overview of the major components where our AI can assist you to achieve Win-Win-Win situations:
We’ll definitely keep everyone posted as new features are implemented, but we do hope you’ll join us for what is guaranteed to be a very interesting ride!
