In the ever-competitive market, Artificial Intelligence (AI) has become a disruptive technology, which can be used to use in various sectors for the optimization of operations. AI technology opens numerous portals in SMBs as well as new possibilities and challenges that can influence the future of business organizations in terms of operations. As SMBs get involved in the AI implementation adoption, associating the advantages and constraints that may arise is certainly essential.
Top AI Software that could transform the SMBs' Workflow
With the constant changes in the digital space, AI software is not just pulling SMBs to the top, it is portrayed as a disruptive technology. Advances in technology have a near-limitless capability to automate mundane and time-consuming tasks, speed up workplaces, and give one an edge over competitors. Here are four AI-powered software solutions that could revolutionize the way SMBs operate:
Hootsuite
Led by Irina Novoselsky, Hootsuite leverages AI to help SMBs effectively navigate the dynamic social media landscape. Leveraging the potential of AI, Hootsuite can track social media mentions, allowing SMBs to follow and revert customer reviews in real-time. Its AI-driven scheduling and content-curation features can maximise the value of social-media strategies.
The implementation of AI shows immense possibilities to drive innovation, efficiency, and development. Leveraging the potential of AI, SMBs can take advantage of new possibilities, improve their competitiveness, and provide consumers with extraordinary value by implementing AI technology. However, overcoming the obstacles in the way of AI adoption calls for careful preparation, financial commitment, and a dedication to moral behaviour. To create a prosperous and sustainable future in the digital era, SMBs must first grasp the potential and difficulties that lie ahead when they set out on their AI journey.
Builder.ai
Builder.ai, led by its CEO, Sachin Dev Duggal is an AI-powered platform that simplifies the process of building custom software and applications. The platform uses machine learning to help SMBs draft specifications and then automate application-building tasks from concept to rollout, enabling them to build custom software to digitise operations, improve processes and quickly bring their apps to market without a significant infusion of technical expertise, time and labour.