Says Wilkinson  on artificial intelligence. As for the United States, there is currently no federal privacy law. Expensive pricing, according to a study in which salespeople believe AI is costly, while sales leaders say AI tools have a negative ROI. Yes you can use some free AI tools for example but if you want to go beyond the basics the cost can quickly add up. The problem is that more advanced AI techniques and custom solutions require hardware with high computing power to efficiently run algorithms such as (Graphics Processing Units). They start at about $1,000 for the most popular processor models used to run complex machine learning tasks.

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So be prepared to spend anywhere from a few Kuwait phone numbers thousand dollars to a few million dollars depending on the size of your company, hardware, software or labor costs. This can be very expensive for startups and companies still in the early stages of development. Take Gong for example. To take advantage of the power of this sales intelligence platform you have to pay approximately $5 per person per year on your sales force. Bottom line: AI isn’t right for every sales team. It is suitable for companies investing in optimizing operations and improving ROI. Lack of integration among sales professionals cited lack of integration with existing system data as a major hurdle they faced.

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That support to its full advantage

Since it requires a solid understanding of current AI IG Users  technologies, sales reps should also receive training on how to use AI, solve problems, and detect when AI is underperforming. Furthermore, the knowledge of on-site experts is required when it is necessary to integrate AI with in-house tools. Also incorporating AI into your workflow goes beyond downloading software or registering tools. For open source AI solutions you should have suitable resources such as storage and infrastructure before using them. Discrimination and bias Discrimination and bias information are other major issues with AI in sales. People today think AI-generated content is biased. As AI learns from data it may perpetuate.