Innovation can be defined simply as a "new idea, device or method". However, innovation is often also viewed as the application of better solutions that meet new requirements, unarticulated needs, or existing market needs.
There is widespread agreement about the cultural attributes that inhibit innovation.
The issue many organizations face today with innovation is their tendency to be too optimistic and wanting all innovation to be revolutionary or too cautious and staying in their comfort zones.
Both approaches lead to failure and an internal perception that the company must retreat back to the core business and delete its innovation efforts. This slide show shares 10 steps to promote innovation and succeed.
There is a growing realization that organizations have to get the people who actually do the work to innovate. The innovation agenda is now as much about human capital investment as delivering new products and services. Now that innovation is everyone’s job, who owns job training?
Those with the HR teams, training program, organizational structures, and adaptable staff will be best prepared for this fast-approaching reality.
Artificial Intelligence is already forcing leadership teams around the world to reconsider some of their core structures. Fundamentally. organizations need an AI Strategy to stay completive
While the expansion of robotic process automation has reduced headcount in the back office, it's a different story for customer service and sales.
In a Forrester report, 46 percent of organizations said sales and marketing are leading the investment in and adoption of AI, followed by customer support (40 percent).
AI investments are increasing and there will be a domino effect throughout sales, marketing, and customer support. This will have a direct impact on both employees and customers.
There is a fear among many people that AI Systems will become so much smarter than humans, take all of our jobs, and humans may even lose their dominance at the top of the food chain.
Their worry seems to originate from experts who are asking themselves the same question— e.g. Elon Musk, Max Tegmark, Sam Harris, and Bill Gates.
Underlying the scenario of an AI world takeover are five misconceptions that are not based in evidence.