Posts Tagged ‘AI’

Artificial intelligence (AI) has not only created much-anticipated hype but also has many working applications. Although it is in its infancy in healthcare marketing, there is great enthusiasm and potential for its use to innovate and disrupt creating cost savings and greater returns on investment. 90 percent of healthcare executives predict that they will see […]

Doug Kemp of Innodata spoke about getting key medical data into a form that can be understood and used.  Like many things, components of AI can parse and understand this data but it can’t be done by itself.  In this particular case, getting even small things wrong in your data has huge implications when using […]

Matt Maccaux, Global Field CTO at HPE,  spoke on an interesting topic.  There are plenty of ways to make mistakes with artificial intelligence. Analytics Anti-Patterns (the worst practices) Anti-patterns are what organizations do to solve problems when it “seems” right but really isn’t correct. Volume 1 (presented earlier) Silos of information create duplication of data […]

Christine Livingston, Perficient’s own Chief Strategist for AI,  presented at a session on real-world success stories in AI at AI Summit. As always, she focused on the best practices in how this works. Quote: AI adoption has tripled in the past 3 years. We’ve barely scratched the surface What is AI really? Machine Learning Natural […]

Perficient is at the AI Summit in New York City and there’s a lot of great content and insights. Jeff McMillan, Chief Analytics and Data Officer at Morgan Stanley Wealth Management gave a great session about AI and what he’s learned. In many ways, his insight mirror what Christine Livingston has to say about AI in […]

The AI Summit is coming to New York again December 11-12 at the Javits Center. This 2-day conference is jam packed with exclusive content tailored to help attendees dig deeper into implementation opportunities and the challenges they face in their industries. There will be eight tracks with stages covering: Retail Sales & Marketing Finance (Look […]

Many recent machine learning challenges winners are predictive model ensembles. We have seen this in the news. Data science challenges are hosted on many platforms. Techniques included decision trees, regression, and neural networks. And, winning ensembles used these in concert. But, let’s understand the pros and cons of an ensemble approach. Pros of Model Ensembles […]

Many enterprises set out with good intentions to transform their organizations with AI, but fail to deliver without a strong AI Strategy in place.  A game plan that overlooks business requirements and scalability often sets AI journeys up for disappointment and turn leadership off to future investments. But you don’t have to let your past […]

A few years ago, BBC Earth highlighted a memory test performed by a Chimpanzee named Ayumu. The Chimp displayed traits of machine learning (ML) when it was shown the numbers 1 to 9 in a randomized order on a screen and able to correctly remember the sequence when the numbers disappeared almost 90% of the […]

Delivering seamless, consistent, and engaging experiences starts with a customer-centered digital strategy. This ongoing series explores the characteristics that make up a great digital strategy and how to deliver powerful brand moments that solidify customer loyalty and drive differentiation for your organization. Mobile technology – and the role it plays in our lives – continues […]

Have you heard about the Human Brain Project? It is one of the largest funded projects to build a super computer that will replicate the molecular architecture of the human brain. This was done to understand how brain comprehends diseases, genomic sequencing, and eventually to correct the defects behind human brains. It included nuero-scientists, data […]

The famous example that would be given about artificial general intelligence (AGI) is when a autonomous car has the rational ability to make a strong decision of what direction to take. Take an example of a car driving in a lane autonomously. It has to make 1 of 2 options in an accident prone path. […]