The era of artificial intelligence (AI) has finally arrived. Conventional AI applications, in particular, have come a long way, which has led to more accurate search effects for online shoppers, allowing apps and websites to make more personalized recommendations, and allowing voice-activated virtual assistants to perceive us better.
As impressive as those uses of AI are, they only imply how this revolutionary generation will be implemented in enterprises. Because the purpose of enterprise AI is to help the corporations that drive our global economy to be informed from their knowledge to be much more resilient, adaptable and innovative. .
We all know that knowledge has enormous prospective value, which continues to grow exponentially. In fact, the world creates 2. 5 quintillion knowledge every day (i. e. , 2. 5 followed by 18 zeros). To harness this potential, corporations want AI to generate sense of knowledge and hybrid cloud computing platforms that can distribute it across organizations.
The economic opportunity for these technologies is enormous, given that corporations are only 10% below the path to knowing the full potential of AI. Fortunately, we are making steady progress, with the number of organizations in a position to integrate AI into their business processes. and workflows develop rapidly. A recent IBM study showed that more than a third of the companies surveyed are employing some form of AI to save time and optimize their operations.
Meeting the challenge of demographic change. Artificial intelligence, along with hybrid cloud, is helping many corporations automate some regime business activities and move other people to higher-value tasks. In the production sector, a factory operator can now rely on AI to find defects invisible to the human eye. In healthcare, AI-forced virtual agents can take millions of calls at once. In the force sector, autonomous robots can use cloud and AI to analyze data at the edge to determine device availability and avoid forced disruptions. Another example: IBM is helping McDonald’s launch an automated self-service service that benefits both consumers and restaurant teams.
Then there’s the big challenge of cybersecurity. The inherent commercial price of knowledge makes it a prime target for hackers. of 287 days to be detected and contained. This is obviously unacceptable. With AI’s ability to analyze risk intelligence at scale, we can reduce that time to days or even hours.
AI simply by making companies smarter, stronger and more secure; drives clinical discovery. AI can speed up the ingestion of clinical articles and the extraction of wisdom 1000 times compared to human experts. At the height of the global pandemic, IBM adapted its cloud-based AI platform to explore thousands of articles on the coronavirus. We then share applicable knowledge with other members of the COVID-19 high-performance computing consortium to drive drug design.
As those use cases show, for commercial AI to be effective, it must also be reliable and explainable. It’s one thing to rely on an AI app to order a dinner. life-and-death recommendations on medical treatment.
For this reason, tech corporations want to be transparent about who is educating their AI systems, what knowledge is used in this education, and most importantly, what was included in their algorithm’s recommendations. Developing a guilty and moral AI demands that we eliminate any possibility of human bias to influence this process.
We also want to recognize that the goal of AI systems is to augment, not replace, human intelligence. Throughout history, the advent of new technologies has led to profound changes in the way corporations create prices while getting rid of heavy and repetitive responsibilities for humans. These come with everything from windmills and printing presses to steam engines and factory robotics. This is how progress happens. Artificial intelligence will create even greater progress, but only if it is implemented responsibly.
Enterprises have the potential to usher in an unprecedented new era of increased productivity, faster insights, better decision-making, and advanced reporting for workers and consumers through the combination of AI and hybrid cloud. Given our consumers’ enthusiasm for those transformative technologies, the spring of advertising AI is coming soon.