Artificial Intelligence (AI) is a broad spectrum of Computer Science related to the creation of automated software systems, tools, and machines that mimic human actions. AI is programmed to learn patterns and improve decision-making based on the input of evolving data. If you are a startup, you can hire AI engineers to build sophisticated AI-powered solutions to cater to your business requirements.

Machine learning, robotic process automation, and speech recognition are the major technological subsets associated with AI software development. These technologies are used in major AI applications including voice assistants, chatbots, payroll, recruitment, smart home devices, and security biometrics respectively. These applications utilize various AI algorithms and data analysis for delivering the expected output. The integration of AI in different facets of business can transform the entire workflow – making it more efficient, and delivering on high scaling objectives of startups.

AI application in different industries

AI applications are used in various industries to deliver smart solutions to the end-users. AI is prominently used in the healthcare, finance, gaming, recruitment, cyber security, social media, and automobile industries. The surge in AI tech has pushed the demand for AI engineers to an all-time high. This is why companies in different industries recruit talented AI engineers to transform their business workflows and integrate more advanced solutions backed by AI technologies.

How is AI boosting productivity for startups?

Startups can benefit immensely by integrating AI applications and workflows into their daily operations. There is a wide range of AI applications that can be deployed in various verticals for transforming the entire business process and improving customer experience. 

  • Predictive analysis for smart recommendations: We all know about online stores and e-commerce platforms sharing product recommendations to the customers; or video streaming platforms giving content suggestions to users based on their past activity. Similarly, startups can utilize machine learning for forecasting user demands and then offering smart recommendations. This can prove to be a great opportunity to convert casual customers and upsell to old customers, thereby contributing greatly to the scale-up of the startup’s objectives.
  • Virtual assistant services: The virtual assistants help startups in daily tasks through automated functionality, thus allowing managers to focus on more important tasks. For instance, the virtual assistant can help with scheduling appointments, managing calendars, generating reports, social media management, and marketing tasks. Virtual assistants can handle different verticals like administrative tasks, finance management, customer service, and research.
  • Chatbots for customer interactions: A chatbot is a bot that makes use of artificial intelligence and machine learning to answer user questions and execute simple tasks on various platforms such as Facebook, Twitter, Instagram, and other websites or apps. The chatbot not only reduces human effort but also provides a cost-efficient solution to companies who need to interact with customers on a regular basis. Many startups these days are hiring chatbot developers to build effective chatbots for powering customer communication and improving customer efficiency. 

AI helps recruitment by bridging the gap between developers and companies

AI has made huge strides in the recruitment sector through highly advanced frameworks and applications that have pushed the envelope further. The modern AI applications have simplified the hiring process by bridging the gap between job seekers and startups using advanced data analysis metrics. Let us have a look at some of the advanced functionalities and frameworks provided by AI in the recruitment process.

  • Smart vetting through resume analysis and automated tests: AI-powered applications are used for inspecting candidate resumes to analyze the data and establish crucial indicators regarding the developers’ strengths and weaknesses. The AI is also used for generating automated coding and technology-based tests for evaluating developers on different metrics of algorithms, programming languages, system designs, data structures, software frameworks, and other conceptual domains. Startups can build robust vetting systems for finding the top-rated candidates around the world.
  • Background checks powered by AI: In recent times, AI has also made its mark in conducting background checks for potential candidates. The key advantages of using AI for conducting background checks include privacy for candidates, a more efficient and faster process, and elimination of bias from the screening process.
  • Interview bots: Interview bot, also sometimes referred to as chatbot, is used for asking relevant questions, logging in answers, evaluating the answers, and conducting advanced analysis based on the data collected. The AI-powered interview bots create candidate profiles and match the candidates with the right interviewers using the experience and skill-set metrics. This greatly helps in speeding up the process by reducing turnaround time for interviews, increasing efficiency, and eliminating human error.
  • Testing for soft skills: The AI applications are also trained to evaluate candidates for their various soft skills including leadership, problem-solving skills, analytical skills, and communication skills. The AI provides automated tests for evaluating the candidates against these different soft skills thereby drawing accurate conclusions through advanced data parameters. AI applications provide a more accurate and faster analysis of candidates’ skills thereby helping startups to make the right hiring decisions.
  • Robotic processing automation: The RPA module of AI is used for performing a myriad of tasks that simplify recruitment and provide a more efficient solution to the hiring requirements of startups and large-scale companies. Some of the different tasks conducted by RPA include sourcing candidates, enhancing marketing campaigns for recruitment, scheduling interviews, and deploying chatbots. The robotic processing automation can also be used for pre-employment screening, information collection from candidates, and automating onboarding activities. Startups can build effective robotic processing automation modules and integrate them into the business workflows.
  • Candidate rerouting: The rerouting of candidates is one area that has huge scope in boosting the productivity of a company in the future. The rerouting of candidates is essentially a process where you keep the candidate in your talent pool, in cases where they don’t get matched or selected in the initial interview process. The companies keep them engaged so that the candidate could be matched for a different role or different location in the future. AI uses advanced data for identifying potential opportunities in the future and then suggesting those opportunities when they arise.

Wrapping up

Artificial Intelligence has changed the landscape of the recruitment space in startups through incredibly efficient and highly innovative AI applications. These applications are integrated for performing a wide array of functions within the startup ecosystem and for recruiting new talent seamlessly. You must hire dedicated AI engineers for building an extensive collection of AI applications and accelerating the hiring process within your organization. 

Author bio: Huzefa Chawre

Huzefa is a technical content writer. He is a computer science graduate and an Oracle-certified associate in Database Administration. Beyond that, he loves sports and is a big football, cricket, and F1 aficionado.