About the author: Michael D. Lieberman has more than 29 years of experience as a researcher, statistician, and strategist in the marketing, advertising, and political research fields. He has worked extensively with clients in advertising attribution and advertising testing, data translation, financial services, information technology, food service, telecommunications, human resource, political polling, and public relations. He founded Multivariate Solutions in 1998 and now works with an international clientele including advertising firms, political strategy groups, and full service market research companies. Michael Lieberman is an Amazon featured author and has written more than 90 professional articles.

The new world of L&D is all about making people adapt to the demand in Cross-Skilling & Up-Skilling their resources. Organization are struggling to keep pace with the unprecedented demands in bringing together the skill requirement to meet the business outcome. Moving away from Ad-hoc & calendar programs to Strategy Solutions do post as a challenge. As a result, it's mission-critical that workforce transformation has a significant role to play in the future, keeping up with the pace of business demand. What is Workforce Transformation Model?

Speaking at the VivaTech conference in Paris, Eric Schmidt said that Tesla and SpaceX head Elon Musk is "exactly wrong" when it comes to artificial intelligence. Schmidt believes that the new technologies which are currently under development will actually benefit people, and that the issue around job losses is a non-starter because as the average ages of populations gets higher, there will be too many jobs and AI will help fill the gap. "I think Elon is exactly wrong. He doesn't understand the benefits that this technology will provide to making every human being smarter. The fact of the matter is that AI and machine learning are so fundamentally good for humanity."

Japan's elderly are being told to get used to being looked after by robots. With Japan's ageing society facing a predicted shortfall of 370,000 caregivers by 2025, the government wants to increase community acceptance of technology that could help fill the gap in the nursing workforce. Developers have focused their efforts on producing simple robotic devices that help frail residents get out of their bed and into a wheelchair, or that can ease senior citizens into bathtubs. But the government sees a wider range of potential applications and recently revised its list of priorities to include robots that can predict when patients might need to use the toilet. Dr Hirohisa Hirukawa, director of robot innovation research at Japan's National Institute of Advanced Industrial Science and Technology, said the aims included easing the burden on nursing staff and boosting the autonomy of people still living at home.

In one of my previous articles I envisioned the state of Customer Success in the year 2041. The future looks bright for our community, but in fact the future is happening right now. Salesforce.com's annual Dreamforce conference is taking place in the San Francisco Bay Area even as I write these words, creating the perfect setting for a topic that underlies all my earlier predictions. You see, while the future of Customer Success will definitely include Automation, Virtual Reality (VR), and The Internet of Things (IoT), the thread linking all of these advancements together is Artificial Intelligence (AI). In this article I will discuss how AI can both help and hinder Customer Success. All new technologies present the possibility of a double-edged sword, and we have never been faced with a blade quite as sharp as AI.