AI Machine Learning Investments
The era of Big Data has helped democratize information, creating a wealth of data and growing revenues at tech companies. It has also led to an increase in the number of AI investments that are used to automate manual tasks and improve the accuracy of predictions in various fields such as healthcare, finance, retail, marketing etc.

However, most companies overlook the importance of having the right tools. They skip to hiring highly paid researchers then the researchers end up preparing data instead of finding insights.

Companies can take the following steps to avoid the trap of diminishing confidence and returns from an Artificial Intelligence (AI)/ Machine Learning (ML) program.

  1. Recognize where you are.
  2. Get all your data in one place.
  3. Start with the proper order of operations.
  4. Don’t forget the basics

By building the right infrastructure for data science, companies can see what’s important for the business, and where the blind spots are.

Read more here

* Leads Resources can assist you in developing a program to help you re-evaluate your vendor relationships. Contact our team for more information.