Rise in AI-driven Business Processes – Salesforce
Artificial intelligence is beginning to make what was once considered impossible possible, such as driverless cars. This is only a possibility because of adopting technology.
Companies started by implementing AI technologies that empower their workforce, rather than replacing them. For example, using Salesforce Einstein provides deep data insights and enables sales teams to focus on sharpening the like creativity and compassion.
Some common examples of AI in CRM are:
- Predictive scoring
- Forecasting
- Recommendations
- Numeric Predictions
- Yes-and-No Predictions and many more
Below is the detail that how Salesforce companies get ready for an AI-driven future or how they implemented it:
What is Salesforce Einstein?
- Salesforce Einstein is artificial intelligence (AI) technology that has been developed for the Salesforce Customer Success Platform.
- It’s an integrated set of AI technologies that makes Salesforce Customer 360 smarter and brings AI to trailblazers everywhere.
Some features of Salesforce Einstein are mentioned below:
- Data-ready — You don’t have to do data preparation or manage models. Just put the data in Salesforce and it works.
- Modelling-ready — Multitenant, automated machine learning means the right model is automatically fit to your organization.
- Production-ready — No DevOps needed. It’s part of the same trusted Salesforce platform, with model management and monitoring tools.
How AI helped in Salesforce business processes?
- AI technology like Einstein enables you to become an AI-first company so you can get smarter and more predictive about your customers.
- Sales can predict next opportunities and exceed customer needs
- Service can be predictive by resolving cases before they happen
- Marketing can create predictive journeys and personalize experiences like never before
- IT can embed intelligence everywhere and create smarter apps for employees and customers
On a broad level, people will need help adjusting to more fluid and adaptive business processes. This means getting ready for organic teams comprising both humans and advanced AI systems. Executives should also commit to using responsible AI that is transparent, accountable, and unbiased.
AI is possibly the most advanced tool ever developed, but just like a hammer, it can be used for good or bad. If we can properly address the issues of how to use AI responsibly, transparently, and fairly, it is much more likely to be a useful tool in the tasks of building business growth and creating a better world.
In summarized form, to make the most out of AI you must have a concrete definition of what outcomes you want to optimize, historic data to train on, and a plan of action for how to use predictions.
Thanks,
Meenakshi Dholpuriya
