Sep 16, 2018
Industrial executives and operators are faced with the
challenge of doing more with less, while simultaneously reducing
excessive resource consumption. Industries such as the food
processing, beverage and chemical verticals experience tremendous
pressure to make operational processes more efficient, and decrease
operational costs and consumed energy. And while many organizations
already possess the data they need to execute on these goals, many
don’t know it – or they don’t know how to obtain and make use of
it.
Enter artificial intelligence (AI) and machine learning. With
this transformative technology, organizations can unlock valuable
operational data previously trapped in legacy systems to increase
outputs using less energy and budget. With AI and machine learning,
this asset data can be automatically connected to key business
metrics, helping operators measure key performance indicators,
predict trends, increase efficiencies and maintain profit
margins.
Plutoshift is
an Asset performance management platform for
process industries like food, beverage, water, chemicals, and more.
I wanted to learn more about how they are also working with big
process manufacturing companies and the role technology is playing
so asked them on our daily tech podcast.
Prateek
Joshi, Plutoshift, CEO of talk talks about topics such as how
AI works for IIoT; why the food processing, beverage and chemical
industries are eager to harness the power of AI; and how companies
can implement AI-driven programs that are as cost-effective as they
are efficient.