Goto

Collaborating Authors

100+ AI Use Cases & Applications in 2021: In-Depth Guide

#artificialintelligence

AI is changing every industry and business function, which results in increased interest in AI, its subdomains, and related fields such as machine learning and data science as seen below. However, we also note that since COVID-19 outbreak, interest in AI, as measured by Google queries about AI, has been stable / possibly declining. This may be due to increased interest in COVID-19 and its effects during this period. However, this depends on the specific industry and applications, we see increased interest in AI in manufacturing during the same period. As of 2018, 37% of organizations were looking to define their AI strategies. There has been significant progress since then and according to a recent O'Reilly survey, 85% of organizations are using AI. To integrate AI into your own business, you need to identify how AI can serve your business, possible use cases of AI in your business. Marketing can be summarized as reaching the customer with the right offer, the right message, at the right time, through the right channel, while continually learning. To achieve success, companies can leverage AI-powered tools to get familiar with their customers better, create more compelling content, and perform personalized marketing campaigns. AI can provide accurate insights and suggest smart marketing solutions that would directly reflect on profits with customer data. Marketing analytics: AI systems learn from, analyze, and measure marketing efforts. These solutions track media activity and provide insights into PR efforts to highlight what is driving engagement, traffic, and revenue. As a result, companies can provide better and more accurate marketing services to their customers. Besides PR efforts, AI-powered marketing analytics can lead companies to identify their customer groups more accurately.


How Is Artificial Intelligence Used In B2B Companies: Here Are Powerful Examples

#artificialintelligence

There's often a misconception that artificial intelligence (AI) is only applicable to businesses in the B2C space. It's thought that since B2C companies have more customers, they have more data to leverage to make AI impactful. However, this couldn't be further from the truth. AI is as relevant to a B2B company as it is to a B2C company. It's important for every B2B company to evaluate the ways AI can help them produce better products, provide better services, and improve business processes.


Top 7 Data Science Use Cases in Finance

@machinelearnbot

In recent years, the ability of data science and machine learning to cope with a number of principal financial tasks has become an especially important point at issue. Companies want to know more what improvements the technologies bring and how they can reshape their business strategies. To help you answer these questions, we have prepared a list of data science use cases that have the highest impact on the finance sector. They cover very diverse business aspects from data management to trading strategies, but the common thing for them is the huge prospects to enhance financial solutions. Risk management is an enormously important area for financial institutions, responsible for company's security, trustworthiness, and strategic decisions.


123 AI Use Cases & Applications in 2018: In-Depth Guide

#artificialintelligence

We are tracking the most impactful AI use cases here. This is meant to be a list that grows over time so feel free to contribute with your comments, this list is definitely not comprehensive now. And share the knowledge with your twitter followers: @AndrewYNg claims that "AI is the new electricity". We compiled 100 applications runnning on this new electricity. Marketing can be summarized as reaching the customer with the right offer, the right message, at the right time, through the right channel while constantly learning. Optimizing product, pricing & placement allows marketers to create an attractive value proposition to customers. Gesture Control: Gesture control enables higher levels of activity and engagement by allowing users another mode of interaction with your digital products. Quantify the gesture levels and other engagements in order to provide meaningful insights. Pricing Optimization: Also called dynamic pricing or demand pricing, pricing optimization allows companies to optimize markdowns. Optimal markdowns minimize cannibalization while maximizing revenues. One of the easiest transformations a business can achieve, dynamic prices directly impact the bottom line and can be rolled out in a matter of days. Optimize markdowns to minimize cannibalization while maximizing revenues. Identify which products are of significant importance for customers.


Top 7 Data Science Use Cases in Finance – ActiveWizards: machine learning company – Medium

#artificialintelligence

In recent years, the ability of data science and machine learning to cope with a number of principal financial tasks has become an especially important point at issue. Companies want to know more what improvements the technologies bring and how they can reshape their business strategies. To help you answer these questions, we have prepared a list of data science use cases that have the highest impact on the finance sector. They cover very diverse business aspects from data management to trading strategies, but the common thing for them is the huge prospects to enhance financial solutions. Risk management is an enormously important area for financial institutions, responsible for company's security, trustworthiness, and strategic decisions.