Artificial Intelligence
Artificial IntelligenceHow to reskill yourself for a career in AI
For end users and IT professionals who want to transition to an AI career, these are the skills you need to develop and the steps to take.
Mary E. Shacklett is president of Transworld Data, a technology research and market development firm. Prior to founding the company, Mary was Senior Vice President of Marketing and Technology at TCCU, Inc., a financial services firm; Vice President of Product Research and Software Development for Summit Information Systems, a computer software company; and Vice President of Strategic Planning and Technology at FSI International, a multinational manufacturing company in the semiconductor industry. Mary is a keynote speaker and has more than 1,000 articles, research studies, and technology publications in print.
For end users and IT professionals who want to transition to an AI career, these are the skills you need to develop and the steps to take.
Managing AI projects requires a different approach from traditional IT project management. What are these differences, and how can you manage an AI project for success?
Data scientists have to make decisions about which data to include in data repositories. To make this decision-making process easier, learn tips for maintaining control of your data funnel.
Artificial intelligence has a mixed record of success and failure in business processes. What should you do for successful AI implementation?
Artificial intelligence, or AI, is still a learning experience for many business users. One way business users can better communicate about AI with IT and data science staff members is to gain familiarity with frequently used AI terms.
More Americans are suffering from depression than ever before. With moodable sensors, we might finally have an IoT tool for mental wellness.
Knowing when to limit your data dramatically affects the quality of your AI. How do you know that your AI data is enough?
Insights-as-a-service cloud providers can help financial SMBs compete with the big banks in AI and analytics without having to hire expensive data scientists.
Have we finally reached a tipping point on how much time we want to put into our smartphones? Recent research seems to say yes. This may have a dramatic effect on the marketing industry.
More than one-third of American bridges need to be repaired, not to mention other critical infrastructure. It’s a prodigious task for which robots are well suited for the dangerous work.