Post by account_disabled on Mar 9, 2024 23:40:27 GMT -6
Artificial intelligence (AI) is always a hotly debated topic . There are countless authors who portray dystopian worlds in which artificial intelligence has allowed the spread of sentient and anthropomorphic robots, more or less devoted to man. The pros and cons of AI are debated mainly on an ethical level, rather than a practical or technological one . Although it may sound strange, this has led the market to look at artificial intelligence with a little distrust. But on the other hand, it meant that suppliers began to present their AI products as magical elixirs, valid for every need. The reality is that most companies have no need for AI at the moment, and particularly when it comes to CRM (customer relationship management) . Artificial intelligence is not the answer to everything, and in some cases (be careful, not in all) it can even become a problem. In this content we will try to examine when this can happen, and when AI can instead prove decisive.
Does your business really need artificial intelligence (AI)? 5 Ways AI Will Transform India Mobile Number Data Customer Relationship Management (CRM) 11 Tips to best implement artificial intelligence and CRM (customer relationship management) New call-to-action Does your business really need artificial intelligence (AI)? What is the reality regarding the need for AI within business organizations? In the IDC survey on AI and CRM entitled "Economic Impact 2017", 28% of respondents said that their company has already started using artificial intelligence , while 41% said they intend to adopt it in the next two years . But are we sure that all these companies really need it? In the mid-market, but also at the large enterprise level, a lot of customer information is not contained in one place . For example, financial data may be on one platform and operational data on another (and so on…), leading to unnecessary and exasperating fragmentation.
This makes the implementation of advanced AI solutions practically impossible, unless all this different data is preliminarily brought together in a single container, which for example can be done through the adoption of a CRM . This solution also has to do with AI and is in particular very effective as regards the marketing sector, since the CRM allows you to analyze interactions with the customer, email openings, web paths and anything else . It can also use that data to form some analytics on typical customer journeys and workflows. The goal of CRM (customer relationship management) The lack of unification of customer data can inhibit (a lot) marketing. But before investing in AI, despite the hype that has been created around the subject, it is necessary to evaluate how it should be done.
Does your business really need artificial intelligence (AI)? 5 Ways AI Will Transform India Mobile Number Data Customer Relationship Management (CRM) 11 Tips to best implement artificial intelligence and CRM (customer relationship management) New call-to-action Does your business really need artificial intelligence (AI)? What is the reality regarding the need for AI within business organizations? In the IDC survey on AI and CRM entitled "Economic Impact 2017", 28% of respondents said that their company has already started using artificial intelligence , while 41% said they intend to adopt it in the next two years . But are we sure that all these companies really need it? In the mid-market, but also at the large enterprise level, a lot of customer information is not contained in one place . For example, financial data may be on one platform and operational data on another (and so on…), leading to unnecessary and exasperating fragmentation.
This makes the implementation of advanced AI solutions practically impossible, unless all this different data is preliminarily brought together in a single container, which for example can be done through the adoption of a CRM . This solution also has to do with AI and is in particular very effective as regards the marketing sector, since the CRM allows you to analyze interactions with the customer, email openings, web paths and anything else . It can also use that data to form some analytics on typical customer journeys and workflows. The goal of CRM (customer relationship management) The lack of unification of customer data can inhibit (a lot) marketing. But before investing in AI, despite the hype that has been created around the subject, it is necessary to evaluate how it should be done.