What role does Lenovo play in the AI market?
A Fortune Global 500 company and a recognized leader in the computer industry, Lenovo is quickly making a name for itself in AI. The gap between AI-enabled and non-AI-enabled companies is growing: according to Lenovo, projects who use AI to enhance their analytic capabilities tend to enjoy triple the return on investment compared with non-AI projects.
While AI-enabled companies are expected to take over USD 1.2 trillion from non-AI enabled companies, and 64% of IT decision-makers expect AI to determine their organization’s success, most of them have an extremely vague concept of what this will look like. Many project leaders are unfamiliar with AI applications and need help getting started, navigating the different hardware and software platforms and designing a setup that works for their company’s needs. Lenovo prides itself on its customer service and ease of launch. But what if we could enhance this advantage by joining entrepreneurs so they can work together to launch their projects?
How does Lenovo facilitate AI adoption?
Two stumbling blocks in adoption of AI technology are the deployment cost and the learning curve. Lenovo’s AI platforms and comprehensive customer support simplify the AI adoption process. Devices such as the Lenovo ThinkSystem SR670 or SD530 rack server combined with the user-friendly Lenovo Intelligent Computing Orchestra platform are compatible with many different AI deep-learning frameworks (e.g. TensorFlow, Caffe, Neon and MXNet), allowing for optimized performance in high-performance computing workloads, machine learning and deep learning. The cluster environment design allows for easy expansion as workload demands it.
Lenovo’s AI technology can be applied to a variety of platforms across many different industries. Current projects at Lenovo include everything from using geospatial data to identify links between food, water and energy, to using AI to help detect early signs of cancer. The technology is highly adaptable and easy to use, and this simple approach to AI adoption makes Lenovo an attractive option for smaller entrepreneurs and start-ups in developing countries.
How can entrepreneurs benefit from a specialized AI crowdfunding platform?
By joining projects from different walks of life on one crowdfunding platform, entrepreneurs can already start to network and share the Lenovo tools and techniques that have worked for them when it comes to implementing machine learning and artificial intelligence to their platforms. Moreover, the diverse and global nature of crowdfunding ensures that investors will find their way to the projects they are most interested in, creating a very real potential for generating financial support.
Crowdfunding is a skill in itself and running a crowdfunding campaign takes hard work, dedication and know-how. It’s something that doesn’t come easily to everybody. But with many similar start-ups on the same platform, running a crowdfunding campaign becomes a simple matter of tweaking the template that’s worked for others. In addition, by working together during the launching of their businesses, entrepreneurs can also form partnerships that will serve them in future.
How can we leverage crowdfunding to finance Lenovo AI technology?
The concept of crowdfunding is still evolving and there are many different ways to approach the process. In addition to traditional formats like donation-based or reward-based crowdfunding, the increasing popularity of equity crowdfunding is opening up some interesting possibilities. Lenovo’s Intelligent Devices Group (IDG) reported a revenue growth of 14% year-on-year for the first fiscal quarter of 2018 (ending June 30). This definitive growth stage is the ideal time for would-be investors to seize the opportunity to be a part of Lenovo’s rapid increase in AI technology.
In keeping with the adaptability of Lenovo AI devices to a vast swathe of programs in different fields, it would be interesting to consider the possibility for investors to choose to apply their investment to a particular area. So, for example, perhaps investors could put their money toward a certain Lenovo platform and receive revenues generated from all the agriculture-based startups that use this platform, or all the healthcare devices that use the platform. This approach might appeal to a broader base of investors, and it would have the added benefit of linking companies in similar fields.
Some platforms use blockchain technology to widen the reach to a bigger pool of investors and increase transparency in the crowdfunding process. Other platforms use AI to generate and analyze data to maximize fundraising potential. The possibilities for leveraging crowdfunding platforms to help develop Lenovo’s AI technology are exciting – and limitless!
What do you think of these strategies? Do you have any ideas of your own about how to get the most out of crowdfunding for Lenovo AI technology? Let us know in the comments!