This is the heart of data-sharing policies. Data sharing should be governed by strict protocols and transparency, ensuring that information is only shared where necessary and under stringent conditions.
“Is it protected?” The security of all data is vital. Implementing robust security measures to safeguard data against breaches and unauthorized access is a top priority in any AI implementation.
These valid concerns echo the early days of software as a service (SaaS), when businesses were initially hesitant to embrace that new technology. We’ve since seen that SaaS has transformed the landscape of software delivery and usage. AI has the potential to have an even greater impact. But this can’t happen if we don’t address issues up front and create trust.
Shape your company’s AI plan with a (human) AI Coach
When the Turing Test was first introduced in 1950, it was originally called “the imitation game” — the idea being if a computer could successfully imitate a human, then the answer to the america phone number list question, “Can a machine think?” would be a definitive, “Yes!” Though it’s up for debate whether the Turing Test is still a useful measurement, the fact that it’s being debated at all means we’re not quite ready to go human-free.
Readiness for AI implementation transcends technology. There needs to be a comprehensive evaluation of AI’s potential business value, organizational data quality, the trustworthiness and security of the AI solution, and an organization’s adaptability — not to mention preparing for a new way of working. This is where Salesforce Professional Services’ trusted advisors come in.