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Make the Transition: Ways to Incorporate AI Technology into Your Company

Author: Cynthia Madison
by Cynthia Madison
Posted: Sep 22, 2022
deep learning

AI can be the know-how of corporate achievement, but it’s not always easy to implement, especially in an environment that has long depended on traditional software.

Artificial Intelligence (AI) is making the world a more productive place. By automating daunting and time-consuming operations, entrepreneurs have more time to concentrate on more urgent and purposeful duties. As technologies evolve at a fast pace, AI has rapidly been adopted in various industries, among which healthcare is prevalent. In this domain, for example, AI is used to analyze vast amounts of data and diagnose conditions. Technicians and doctors are the first to benefit from AI-powered machines, with business owners eagerly following them. AI can serve countless business purposes, from driving customer relationship management (CRM) engagement to mining social data.

One thing is for sure – if integrated correctly, AI can enhance processes and even increase bottom lines. So, let’s find ways to adopt AI into your company successfully.

Get Familiar with AI

AI can help businesses work smarter and faster, but it can’t do so if implemented incorrectly. Before implementing AI into your company, it’s essential to understand it. The vast AI space comprises everything from deep learning, natural language processing (NLP), and robotic process automation to rule-based expert systems. You may be tempted to adopt every aspect of this technology, but it’s best to conduct profound research beforehand and inform what exactly would benefit your business. Deep learning, for example, can excerpt knowledge from massive amounts of labeled data, but if that’s not what your company needs, it’s all in vain.

Informing in the first place is mandatory. In this sense, consider calling on an expert that can deliver insightful details about AI and its continual development. You can employ a futurist speaker to talk about powerful topics these days, including future-proofing your business, in a conference, meeting, trade-show, seminar, or company workshop. This way, you can initiate your employees to technological advancements, too. Addressing corporate innovation and digital transformation should be prioritized by all companies craving success. Keynote speakers can help keep everyone informed, so ensure you look for a futurist speaker for hire when planning to introduce AI technology in the working environment.

Start by Employing Chatbots

Chatbots are the secret behind customer satisfaction. When clients have all their questions answered satisfactorily, they tend to remain on your website and further analyze your products/services. More often than not, they end up buying something from you if chatbots manage to help them in their shopping journey. So, how could you improve customer experience? By customizing chatbots to generate answers to FAQs in real-time. Machine learning is a powerful tool for managing customer interactions and addressing client concerns with ease. In eCommerce, they are a must, but other industries can also implement them to enhance their customer support.

Optimize Your Website for Voice Search

Chatbots are undoubtedly helpful, but a voice search option would be next level. This enables consumers to search for and even purchase something with quick voice commands, which greatly simplifies their buying experience. Time spent searching and purchasing is significantly reduced, reason thousands, if not millions, of users around the globe, prefer voice searching to simple tasting.

NLP, an AI subset, allows businesses to implement voice search and for customers to look up information smoothly. Google Assistant and Amazon Alexa already use this technology, and now, you can do the same. And there’s no need to invest in expensive software if costs are your concern but only try to capture the featured snippet for keywords relating to your business and keep the language conversational and direct.

Synthesize Big Data

As your company evolves, there will be a need for a software platform to store and synthesize big data. Crucial information like customer contact and bank account details are to be kept in a secure place, and more often than not, this isn’t possible if you still depend on traditional spreadsheets. Big Data is inevitably part of your business’s introduction to AI since AI performs the function of a data synthesizer that assesses your actual data and adds context appropriate to your objectives. AI software programs not only store critical data into a cloud-based dashboard, but they can also send custom alerts when they spot issues or trends.

Companies all around the globe, especially credit card companies and banks, pair traditional analytical software with machine learning technology to have clear, precise reports and proactively detect points of interest in data and anomalies. AI is the response to those sometimes-impossible-to-avoid human errors. Intelligent software programs can do what once would have requested a human eye, so we recommend adopting AI software for accurate, visual reports if you’re doubtful about standard business analytics software.

Set Up a Pilot Project

Companies should start with trial projects before initiating cognitive applications across the enterprise, as the distinction between actual and expected AI competencies isn’t always that obvious. Proof-of-concept pilots are mainly developed to prove that a business proposal, design concept, product, etc., is feasible and are typically intended for projects with high corporate value. They also make it possible for companies to test more than one tech simultaneously. However, they aren’t easy to implement, as several factors must be considered in advance. The advisable way to do that would be to think big but start small, have clearly-established project goals, and last but not least, acknowledge what you can control regarding AI and what you can’t.

By "starting small", we mean that applying AI to a specific type of data would be better than taking on too much too early. You can implement AI to collect feedback, for example, or prove value, and if everything runs smoothly, you can broaden your horizon. In the medical industry, specialists use NLU tech combined with an AI platform that incorporates EMRs (electronic medical records).

Whatever your business needs, ensure you take your research seriously before implementing AI into your organization and assess every positive or potential negative aspect accordingly.

About the Author

Cynthia Madison is a young blogger and economics and marketing graduate. She writes about home, lifestyle and family topics and is a senior contributor to popular niche publications.

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Author: Cynthia Madison
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Cynthia Madison

Member since: Jun 30, 2017
Published articles: 90

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