DEVOPS: THE TANDEM TEAM DRIVING THE APPLICATION ECONOMY

Infographic | March 4, 2020

We surveyed over 2,000 business executives and managers to learn how AI is changing the rules for management. Our results reveal that successful AI implementation requires leaders to drive more collaboration across functions, rethink IT road maps and processes, and invest in workforce training. This infographic highlights our research findings and can help you prepare for the changes you need to make in order to reap the benefits of AI.

Infographic | June 29, 2023

Unlock the power of rapid mobile app development! Discover the latest market trends and gain valuable insights through this eye-catching infographic.

Infographic | June 10, 2022

Automated digital-first channels are the new benchmark for optimized claims journeys. Providers are implementing AI at speed and scale to meet the demand for digital convenience and solve critical business challenges.

Infographic | February 28, 2022

The Year Neural Networks Were Born Warren McCulloch and Walter Pitts proposed the model of artificial neurons. The Name ‘Artificial Intelligence’ Came into Existence American computer scientist John McCarthy first adopted the name at the Dartmouth Conference.

Infographic | December 3, 2019

We’ve long been searching for ways to extend the human lifespan, which currently sits around 79 years. Of course, there are those who live well beyond that point — with the longest-living person reaching 122 years before dying in 1997. But can we push that average life expectancy to 100 and beyond? This infographic offers a variety of ways in which artificial intelligence can help us get there:

Infographic | May 28, 2022

Peak, a leader in Decision Intelligence (DI), released a new “State of AI, 2022” report highlighting that a number of organizations are making investments in both data and AI – without connecting the two. Surveying 775 decision makers (senior managers and above) from the US, UK or India, the report further reveals that when businesses are failing to prepare their data for future AI adoption, they risk needing to retrofit their infrastructure later down the road.