Data Analytics for Utilities

Each new generation of technology brings with it a cull of companies that fail to take advantage of that new technology. In a cutting-edge, modern world, the need for enterprise software that can track, optimize assets and improve overall performance is at an all-time high. This requires the need to embrace AI, sooner rather than later, because enterprise AI is at the heart of this cutting-edge software. It offers fluid automation through deep learning and other machine learning software.

But what is AI for enterprise? Enterprise AI is the future of successful organizations, offering real-time value through unmatched data analytics. It’s what helps drive digital transformation forward. By embedding AI technology into the core of your enterprise’s data strategy, you’re ensuring optimization on a mass scale.

Why Enterprise AI is the Next Biggest Asset

As stated, there is a need to embrace AI – sooner, rather than later. It’s not a matter of if, it’s a matter of how to best prepare your organization for enterprise AI. Ultimately, it helps to reduce risk, increase business value and, most importantly, helps your organization win against your competitors.

In fact, the sooner an organization starts thinking of artificial intelligence first, the sooner they can truly flex what AI’s capabilities can do for them. Startups and existing companies alike can benefit from the right machine learning platform. AI technology should be a priority for businesses that want to have a strategic, focused future using invaluable predictive analytics.

Big data being fed into the right models can help you build products with the right predictive maintenance tools. And getting started as early as possible in the business allows you to build relevant systems and gather important data before you find your company needs the data.

Deploying Success Through Predictive Machine Learning

Being able to know where to focus your attention from a budgeting standpoint is already an invaluable asset. There’s much more to love about enterprise AI, however. Some might say that it’s redefining the meaning behind smart enterprise, in the first place.

How do you deploy success through artificial intelligence? How do you use it to the full extent of enterprise AI as an organizational asset? As AI picks up speed, we see the asset as pivotal to the success of future businesses. How does it happen in the first place, though?

Prioritize Responsibly

By prioritizing responsible AI, you ensure that it remains open and able to change based on your technological needs. With the constantly fluctuating laws on artificial intelligence, your organization needs a sustainable system that’s agile enough to make those changes quickly and without question. With a spectrum of various data applications, you can iterate the information rapidly in real-time.

Integrate Seamlessly

Go from design to production smoothly with an operationally ready enterprise AI software that can make it all feel seamless. As the world draws away from open source platforms, we expect to see a drastic increase in organizations leveraging machine learning and other AI techniques with commercial solutions.

More Than a One-Off

Enterprise AI is not a trend to wait out, especially as a CIO, data scientist or other relevant member in an enterprise. It’s set to be used for more than just one-off cases. Rather, organizations can use AI applications for a massive variety of use cases across the business.

Depending on the need, we can build and operate dozens, even hundreds, of enterprise AI applications at once to ensure the fluidity and success of an organization. As every industry is different, there’s no form of AI that is set in stone. Industrial AI is readily and operationally available to every industry equally.

FAQs

How many enterprises use AI?

In late 2018, the US Census Bureau surveyed 583,000 US businesses about their use of enterprise AI and other advanced technologies. It was one of the largest efforts, to date, to gauge the commercial use of AI, and the results were later revealed in a research paper.

The findings observed that just 2.8% of businesses had adopted machine learning at that time. However, that number jumps up to 8.9% when accounting for any form of enterprise AI. That means autonomous vehicles, natural language processing, machine vision and voice recognition.

Now, less than three years later, AI is large and in charge. In 2020, enterprises drastically accelerated adopting machine learning and enterprise AI. From customer experience to process automation, more than 76% of enterprises now prioritize deep learning and AI over any other IT initiative. Enterprises across the globe are increasing their budget for AI, and it’s become one of the highest-priority concerns, to date.

What are the advantages to using enterprise AI?

Computers can learn from data without being explicitly programmed to do so thanks to enterprise AI. It’s a powerful software that takes a chatbot, data process or other system to a whole new level.

Can AI learn on its own?

Yes. The beauty of AI is that it can learn from its past mistakes, data sets and other deep learning tools to never stop learning on its own.

What is enterprise machine learning?

Enterprise machine learning is a method of using machine learning to solve business problems.

Why is AI so important?

AI is important because it is the next step in human evolution. It goes beyond the downsides of human error and learns past them. Automation will help improve the efficiency and productivity of the world.