With over half of all knowledge employees working remotely, analysts expect companies to make a harder push to use AI technology to “keep an eye” on remote workers.
This is basically a cybersecurity concern.
Last year the average cost of a data breach in the U.S. was $9.44 million. And, incredibly, at least 67% of small businesses have faced more than one security breach.
AI generated monitoring programs will enable software systems to integrate network devices, applications, and servers to provide real-time monitoring of employees, instant cloud-based solutions, and foresee threats.
In the coming years, businesses are also expected to make greater use of augmented analytics, which empowers AI tools to assist with data preparation and insight generation methods by deploying machine learning (ML) and natural language processing (NLP), augmenting the prevalent data exploration methods.
Almost every sector has found an application for augmented analytics as it transforms how organizations look at data, making it one of the definitive AI trends.
In fact, one report predicts that by 2025, 75% of data stories will be automatically generated using augmented analytics techniques.
This growing data culture will enable business users and executives to access deep insights and automate the processes of identifying critical change without any expertise in working with data.
Want to learn more? Tonex offers AI/ML Training for Managers, a 1-day introduction to artificial intelligence/machine learning. This course is especially beneficial for managers who want to see the “big picture” in order to communicate with technical as well as non-technical individuals.
AI/ML Training for Managers covers the most important aspects of beneficial AI/ML techniques without getting too involved in the technical nitty gritty.
Participants will learn to recognize the emergence of artificial intelligence and machine learning as a competitive strategy as well as learn foundations of data science on which AI models are built.
Additionally, participants will learn descriptive, diagnostic, predictive, and prescriptive analytics and their applications in generating solutions for business problems.
For more information, questions, comments, contact us.