AI is no longer a futuristic concept but a reality that is reshaping the businesses today. From Google, Apple and Amazon which are tech giants to consumer-centric service providing companies like Uber, all are using Artificial Intelligence in the business processes to transform CX. But the power of AI is not only for big companies with massive R&D budget. Small businesses too are making use of AI.
Across industries, businesses are examining how AI can aid them to cut down costs on operations, better assist customers and stay competitive with their progressively tech-driven competitors.
Rolling out AI can be a daunting task for small businesses who are unfamiliar with the tech. But, if you adopt a strategic plan, you can get ahead in the race by harnessing the power of AI and reap its benefits.
With customers getting acquainted and addicted to AI powered-solutions, they are looking for businesses who have adapted to the trend. But how can a small business lay groundwork for AI?
Give AI a try in your personal life. Before making a call that AI is appropriate for your business or not, make use of it in your daily life. Put yourself in your customer’s place and evaluate what would you want as a service. Test the readily available AI-powered solution and determine what you liked or disliked about it. How as a customer you would want a function to speed up. Brainstorm ways you could use AI in your business. IT consulting company keep on developing AI-powered solutions that activity across the industry can take use of.
Layout business-specific AI goals. Before approaching for an AI-powered solution for your small business needs, it is crucial that you have pre-defined goals and objectives set beforehand. Say for example you run a clothing store, through AI solution, you can look into its predictive analytics tech and reduce staff inefficiencies. If it a restaurant that you run, AI tech can help you automate your order delivery through automated delivery vehicles. AI technology can even ease the process of accounting and going over repeated calculations. With a specific goal in place, you can plan a strategic business approach with AI.
Get your IT capabilities up to speed. Gathering data and making sense of it is the biggest roadblock faced by small business today while deploying Artificial Intelligence. Most small business if not all lack small business IT support services and IT infrastructure to support AI and its applications. Thus, small businesses should start adopting AI in their processing by modernizing their IT infrastructures. Move away from on-premises solutions and towards cloud migration that will enable you to boost the potentials of your AI resources.
Track the growth of AI. Small businesses who pay active attention in the evolution of Artificial Intelligence are bound to reap profit in the big run. Though your business is not capable of employing the AI tools, still keep an eye on it. Knowing what is going around you will help you make an informed decision to steer your business towards growth. By creating an effort to understand more about AI, your small business can prepare for the AI-powered future.
Artificial intelligence has found its way into helping us make sense of how natural weather phenomena causes disasters and technology helping us find the means to manage its impacts and reduce the risks for harm and danger.
Technology service providers such as IT consulting companies in VA that play critical roles in facilitating the collection of valuable weather and relevant phenomenal data to help authorities address mitigating damaging and traumatic impacts of natural disasters.
Where traditional disaster management failed
Before AI, existing disaster management models were more reactionary and provided data after the fact.
Previous management methods failed to provide real-time data, had very limited capabilities for data collection from multiple sites and unable to recommend preventive or risk-reduction measures.
There have been a lot of cases in the past where the systems failed to mitigate the impacts and the breadth of casualties and damage.
How machine and deep learning tools can optimize disaster management
AI-driven machine and deep learning platforms can leverage on dynamic and robust data from satellite images, historical data, real-time monitoring and hard data from collection agencies located around the world.
All these data are combined in an AI neural network and deep learning algorithms to provide the best available evidence-based solutions.
The AIDR is the winner of the 2016 Open Source Software System Challenge for its unique concept of an open source software that collects data from numerous weather and other data-collection centers and classifies social media posts related to any humanitarian crisis, including natural disasters and calamities.
It leverages on social media channels during crisis situations and AI-driven algorithms kick in to manage the flow of data and other pertinent and verifiable data.
It has been responsible for providing vital information to help address concerns that arise during disasters and has helped coordinate millions of dollars in relief support in disaster-stricken areas around the world.
Banking on AI for Earthquake Response
A California-based start-up is using AI and machine learning to eliminate guesswork in disaster response actions by making accurate predictions about damage caused by earthquakes.
They use up to date data about homes, buildings structures, what materials were used, how were those built and the application of physics to determine the time of a collapse as the earthquake happens. This is followed by environmental data and finally, real-time information such as earthquake magnitude, traffic in the disaster area and weather.
Other tech companies also use similar applications for cyber-attacks, floods, vehicular accidents and other large-scale disasters.
This is how AI technology by IT services, NGO’s, governments and together with other key players in making a difference to improve the conditions of humankind during times of crisis.