What is the future of work? That’s hard to say. But one thing seems certain: Disruption lies ahead. Driven by innovations in technology, shifting business strategies, and evolving definitions of success, the workplace is changing fast. As the adoption of things like process automation, AI, and Machine Learning continue to accelerate, so will the pace of change in the workplace. Indeed, with the continuing trend toward remote work, many of us may not have a workplace at all. As a result, we must all reconsider how jobs are designed and work to adapt and learn for future growth.
The phrase "the art of the possible" can mean different things to different people. For those of us in the information management business, it has come to mean "achieving what we can (possible), rather than what we want (often impossible)." For me, it's an optimistic view of the future rather than a fearful acknowledgment of our challenges and difficulties. The "art" part is where the magic happens; as we allow ourselves to explore the boundaries of what information technology permits us to achieve and how those capabilities move the needle in terms of transformation, innovation, and organizational performance; indeed pushing back those boundaries with a new, more forward-looking approach.
Making an ECM implementation successful requires planning and attention to detail. The best way to create the right solution is to identify organizational goals and priorities. Learn how to manage a successful implementation in our free guide.
How will humanity survive the AI revolution? Simple—we become superhuman. That is the subject of our new AIIM On Air interview with author and researcher Alex Bates.
Our ability to intelligently capture information in an automated and consistent way, share it with teams, customers and partners, and integrate that content into business processes is a core element of Intelligent Information Management. Indeed, this is the “on-ramp” to the process improvements using information to drive organizational performance.
The notion of Artificial Intelligence has pervaded both the info and tech worlds. Indeed, it's difficult to have a discussion or a webinar without the topics of AI and Robotic Process Automation coming up. And while it might be tempting to dismiss the implications as something from a Hollywood movie of a future world populated by smart robots with super-human characteristics, the truth is that these technologies are already at work today, fueling important changes in the way we do business.
Have you ever wondered how companies like Amazon and Netflix recommend content based on our past viewing or purchasing? Recommendation engines are fueled by techniques in Machine Learning and AI. There are many benefits to consumers and companies, but what are the dangers and downsides of recommendation engines? That is the subject of my newest AIIM On Air interview with Michael Schrage.