Implementing chatbots has never been more relevant than it is today. People use instant messaging more than any other internet activity, including email, browsing the web, etc. In addition to this, social networking giants such as Facebook, Twitter, Skype, and Slack have opened their programs up to developers and businesses to build chatbots. These platforms have given businesses an opportunity to better reach their target audience. The ecosystem is evolving in such a way that it is imperative that businesses have chatbot presence in certain industries.
All we have to do is visit LinkedIn and see there is no shortage of articles and ideas on successful leadership. Servant leadership, lead from within, and pyramid leadership are just a few styles one might adopt. What I have found to work for me is a leadership style centered on happiness. Sounds a bit crazy I know but maybe after I share my story you might find it to be what we all need.
Chatbots aren’t just a set-it-and-forget-it type of software. The best chatbots improve over time, learning through AI how to better serve their purposes. In order to develop a chatbot that improves over time, you’ll need to gather metrics, collect surveys, and continually monitor your bot’s success. In this blog, our chatbot experts have made a list of ways you can improve your chatbot as time passes.
With so many technologies emerging and so many avenues to get things done, you can solve the most complex connectivity problems across SaaS, SOA, and APIs with Anypoint PlatformTM powered by MuleSoft. It’s an all-in-one, productive hybrid integration platform designed to create an application network for data and gadgets led wit API connectivity.
Chatbots are capable on providing one-on-one consultancy to website visitors, customers, as well as internal employees. In the insurance industry, this is vital, as it is a large, complex industry that customers and employees alike may have questions about. Where do chatbots fit in within the insurance industry? One of our chatbot experts has crafted a list of key areas for chatbots in the insurance industry.
The advancement of technology is never-ending. With one new program emerging, you can always count on another to follow. As the first line of defense in network security, there's no doubt that the firewall barriers between controlled and internal networks should not be determined optional. As technology advances, so do hackers. Having network security that monitors incoming and outgoing network traffic is the chain that adheres your company privacy.
Carissa Clark is a Proposal Specialist here at V-Soft. Her passion for project management is an important asset to our team. Along with bringing her talents to our company, Carissa is also involved in helping her community here, as well as abroad. Learn more about Carissa's role at V-Soft, and her hobbies, in our latest Employee Spotlight blog.
When developing a chatbot, there are several different approaches that can be taken. Whether you’re looking to go the Finite State Machines route, the Deep Learning route, or go off in another direction, choosing what type of development to use with your chatbot is crucial to its success. Are you creating a virtual assistant that will plan meetings and schedule appointments? Do you want to create an automated HR system to help save you time and money on on boarding? In this blog we will teach you about two major types of chatbots that you can develop.
Businesses of all sizes have a responsibility to ensure the safety and privacy of their organization and employees. Unfortunately, cyber security has always been a rather difficult topic to understand for those who are not responsible for it on a day-to-day basis. What needs to happen to make sure your business is safe? How can you prevent an attack? We will answer these questions in this post.