Building a Modern Enterprise with Artificial Intelligence

2 min read
Curated from cio.com →

For today’s enterprises, artificial intelligence isn’t just a good idea. It’s becoming a new imperative. To stay competitive and relevant in their industries, enterprises increasingly need to become AI-driven. AI is a new key to improving business processes, making better decisions, monetizing data, increasing security and more.

The growing importance of AI in the enterprise is a point that industry observers now emphasize. Just consider this view from the global consulting firm Deloitte: “As AI technologies standardize across industries, becoming an AI-fueled organization will likely be table stakes for survival. And that means rethinking the way humans and machines interact within working environments.”1

Leaders of forward-looking enterprises are saying many of the same things, as they are investing in AI. As Michael Dell, founder and CEO of Dell Technologies, points out in an online webinar, “Seven of the 10 most valuable public companies in the world are using deep learning and AI at the heart of their operations.” He notes that, in this new era, organizations are reimagining every aspect of their operations, their businesses, their products and their services to deepen customer relationships, to grow new capabilities and to design better products.2

Get the AI & data signal, daily.

335k+ subscribers read this every morning. One email, both newsletters. Unsubscribe anytime.

These are all among the benefits of an AI-driven enterprise. Enterprises are now using AI to enable predictive maintenance of machinery, to optimize logistics and supply chains, to streamline customer interactions in call centers, to drive higher sales with personalized product recommendations, and to create new products and services. The possibilities created by AI systems go on and on.

We now have all the components for AI

For organizations that recognize the need to become AI-driven, there’s good news: All the key pieces of the puzzle are now in place. These include an abundance of affordable compute and storage, faster networks, massive amounts of data, new algorithms, and pre-validated solutions for machine and deep learning. Put it all together, and AI becomes more accessible than ever before, even to small and midsize businesses.

In an interesting twist that comes with the age of AI, the deluge of data from the Internet of Things (IoT), social media, enterprises systems and other channels is increasingly seen less as an IT problem and more as a business opportunity. That’s because massive amounts of data are essential for training the machine learning and deep learning applications that are at the heart of AI solutions.

Continue Reading

Enjoyed this summary? Read the complete article at the source:

Continue at cio.com →

Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.