HOW HUMAN-CENTRIC AI WILL TRANSFORM BUSINESS

1. HOW HUMAN-CENTRIC AI WILL TRANSFORM BUSINESS Artificial Intelligence (AI) has the potential to help us achieve our common dream of a better future for humanity as a whole, but it will bring challenges and opportunities that we cannot yet predict. Given the revolutionary power of artificial intelligence in business, many people wonder, “If AI is to do the grunt work in the business world, what room is there for so-called ‘human’ qualities? Is the

2. future of business and technology so deeply interconnected, that it leaves no space for human intelligence and action vagaries?” To people asking these questions, the answer is simple and quick – absolutely. Unlocking Possibilities With AI Technology While being a powerful paradigm shifter in the business world, AI is still one of the most promising resources that humans can use to make better decisions. And reliable AI technology will still be built

3. and used by people, at the end of the day. In doing so, it will be able to retain the ‘human element’, in the manner that it is made, distributed, used and improved, all of which would make it much more effective at achieving business goals. Identifying how to use AI technology to bring about a change in your company or consumer experience is a complex challenge if you start with no resources or roadmap in this area. The applicable opportunities are vast and diverse, and prioritizing where to take action first without a clear starting point may feel daunting. AI is bringing structural change to the operation of companies that goes far beyond technological considerations. Developing a mindset of design with this canvas should help anticipate how AI-powered digitalization will impact your organization’s building parts. Organizations have the responsibility to educate and engage their workers to prevent any forms of confusion that may give rise to ambiguity and misunderstanding about the importance of enterprise AI, which I hope can promote this tool. Using AI The Right Way

4. Start by describing who the audience you’re trying to solve a problem with, will be. It may be your client or your organization’s particular unit. Once you’ve selected the people for whom this exercise is necessary, you’ll be able to work through your method. One of the aims is to make sure you understand the problem you are trying to solve, even before considering AI technology. Your goal is to identify the problem you want to solve for your target audience in this very first chapter. Whether it’s your workers or your clients, find the points of distress that go home or are alleviated to make them “more normal”.

5. List machine-only tasks that will make the most of the algorithms implemented to solve your problems. Are these things too risky for humans to perform? Is it spotting hidden patterns in complex datasets that are out of reach for human analytical capabilities? Or is it bringing speed and accuracy to perform a repetitive activity at scale? List the exclusive human activities your staff will have to do. Find activities best suited to humans, rather than machines that would require judgment, ingenuity or experience. The goal is to create an environment governed by hybrid practices – where humans and computers work together to find better solutions to problems and improve organizational efficacy and efficiency. Remember the ways that people help people with computers, devices, and emerging tech. They work side by side and communicate, with new technology increasing their productivity. Basically, you don’t want to isolate technologies from the rest of your company to perform tasks. The benefits should be transversal and allow you to improve your human agents’ ability to simultaneously unleash new levels of productivity. Critical thinking is one of the many mental abilities that robots will never take over, making them truly unique. In order to address any

6. perceived blind spots in your AI system, you should consider the interventions you must incorporate. AI technology is an exciting tool, but if it falls into the wrong hands it also carries risks. When our lives in complex digital systems become even more dependent on networked AI, it is important to pay close attention to the possible legal, moral and social issues that may arise. The Future Of AI

7. It’s important that we don’t forget who we are amongst all the rapid digital transformation. With the large customer data sets that brands are generating, they need to ensure that they use them in emotionally intelligent ways. Using social listening tools to combine data with customer intelligence will help brands engage with customers meaningfully, directly and consistently. It will also help brands to understand whether customers actually want some of the new and crazy products they offer. Will consumers want the internet of things to mobilize any product they own? Listening to customers makes business sense, promotes a human- centric approach and prevents a brand from bringing irrelevant solutions to the market. Product development, brand strategy, and marketing can all be better with a human-to-human method. AI and machine learning can create more relevant and targeted communication, too, that doesn’t feel invasive or full-on. According to a study by HubSpot, 91% of online users in the U.S. and Europe found that advertising and marketing have become more and more intrusive over the past two to three years. So, there’s an opportunity here to tailor advertising towards customer’s online habits and behaviors.

8. Building credibility for AI allows us to slow down and engage in an open debate on its implications. The stakes are too high to accept the language of ‘moving quickly, breaking things.’ Ultimately, including your people and getting their feedback regarding your vision will help to change negative perceptions about AI technology, fueled by pop culture, and also help explain potential outcomes of embracing new technology. It’s time to change the topic from which jobs will be eliminated to how AI should be implemented to enhance human capabilities. To stop thinking about robots as a human replacement, and start thinking about them as partners with a different skill set. In these projects, human-centered design — and its promise to build new solutions to meet human needs— is an essential tool for policymakers, seeking to create healthy foundations for a viable future in which people are truly valued, not robot slaves.

9. About The Author Ryan is an avid tech enthusiast and Regional Partner at Tekrevol, Houston, a leading app development firm. His passion lies in using technology to help people out, especially aspiring entrepreneurs. Among other things, Ryan has expertise in data analysis, business strategy development,leadership & management, strategic marketing, asset management, and portfolio management.