Useful Case Studies
Artificial Intelligence can largely be measured by the positive impact it has on society. Organizations are able to access more data today than ever before. But it’s of no value unless you know how to put your data to work. These are some case studies observed by firms like Oracle, Facebook and Microsoft.
The digital revolution has transformed the manufacturing industry. Manufacturers
are now finding new ways to harness all the data they generate to improve operational
efficiency, streamline business processes, and uncover valuable insights that will drive
profits and growth.
Competition is fierce in retail. To stay ahead, companies strive to differentiate
themselves. Big data is being used across all stages of the retail process—from
product predictions to demand forecasting to in-store optimization. Using big data,
retailers are finding new ways to innovate.
Healthcare organizations are using big data for everything from improving
profitability to helping save lives. Healthcare companies, hospitals, and researchers
collect massive amounts of data. But all of this data isn’t useful in isolation. It
becomes important when the data is analyzed to highlight trends and threats in
patterns and create predictive models.
For the past few years, the oil and gas industry has been leveraging big data to find
new ways to innovate. The industry has long made use of data sensors to track
and monitor the performance of oil wells, machinery, and operations. Oil and gas
companies have been able to harness this data to monitor well activity, create models
of the Earth to find new oil sources, and perform many other value-added tasks.
The popularity of smart phones and other mobile devices has given telecommunications
companies tremendous growth opportunities. But there are challenges as well, as
organizations work to keep pace with customer demands for new digital services while
managing an ever-expanding volume of data.
Forward-thinking banks and financial services firms are capitalizing on big data.
From capturing new market opportunities to reducing fraud, financial services
organizations have been able to convert big data into a competitive advantage.
The entertainment industry is booming, and AI has provided its input.
Many professionals in the fields of filmmaking, marketing, advertising, game development, and a variety of entertainment services accept on AI unleashing an entirely new approach to AI creativity.
Most of the entertainment companies adopt AI to drive investments and focus on delivering high-quality content that grabs the attention of audience.
Augmented Intelligence and robots find applications in entertaining viewers and offering them an excellent next-gen experience.
Aviation requires an extensive look at the landscape; the kind of innovation technologies can
lead into meaningful applications – something where operators can see or experience the benefit in a meaningful and impactful way, that would significantly change the enterprise over the course of time;
The kind of aviation eco-system needed to deliver those kinds of AI applications and advanced analytics applications; an application development roadmap to get airlines to advanced analytics and AI applications; and
then a couple of cases to illustrate how meaningfully these things can come together.