Artificial intelligence (AI) and machine learning are buzzwords that have become commonplace today. However, many businesses still don’t realize all the benefits of these technologies. However, their strategic implementation is growing more important than ever before.
While this combination of AI and machine learning with business technologies is still in its early stages, it’s time to learn what information you should collect, what data you already have, and how to analyze all this so you can use it productively. This is something you must do soon as this field is quickly advancing and you need to be on its cutting-edge – besides simply using it to help you with your research.
How AI will change businesses
There are many ways AI will grow. As it does so, there are also many challenges we encounter. Tech Republic says these will include:
Hiring more AI professionals
This is important in guiding AI and machine learning towards being fully integrated into your company’s existing products and strategies. You’ll also want to make sure to hire some math, algorithm, and AI technique experts so they can provide input.
Using AI in cybersecurity
Supporting both traditional and cloud native applications requires cybersecurity professionals to be on the lookout for a large variety of different types of attacks. New AI prevention technologies will offer you more protection than you ever had in the past though.
These technologies are automated and able to detect, analyze, and defend against advanced attacks. They can also attempt to detect and defeat them through deception. Acting in this proactive fashion allows them to become even smarter than the attackers themselves, which is important in today’s cyber age.
Helping prevent cyberattacks
Organizations may start to also see AI in malware as a cybersecurity threat since it can make decisions that benefit attackers. Targeted attacks will also occur on AI-powered devices and AI algorithms too.
Giving your sales and marketing teams a boost
This is where AI will make the biggest impact. Here it will be able to remove repetitive tasks and improve employee focus so that engagements with customers are of a higher quality.
It’ll be easier to leverage AI at scale
This is something you can do for pennies on the dollar, unlike in the past.
AI won’t completely transform business as we know it quite yet
Today we’re witnessing the AI consumer market flourish. While AI technology is currently influencing consumers’ daily lives (e.g. Siri, Alexa), we haven’t yet see it reach its full potential when it comes to businesses.
Chatbots will become the norm in banking, media, and retail
This will help create more interactive experiences that these companies need. Voice AI phone system makes the change possible so that helpdesk workers are better equipped to handle their workload – which is also much lighter now thanks to AI.
AI dries application efficiency and adoption because it optimizes the user experience
AI can help you develop new apps that makes user experiences more fluid and automatically helps create the right set of functionality for the right role. It’ll also help your business improve productivity and reduce security and compliance risks.
AI will remove corporate biases
This is made possible because AI will have information to act on without being impacted by emotions or external prejudices. Doing so will help with things like hiring and marketing which will benefit your company as a whole.
Human jobs will still be “safe”
While some people argue that human jobs are about to be displaced by robots, experts argue that this isn’t true. Instead of AI replacing these jobs, they will augment them. AI will help your business be more productive, effective and accurate.
How AI will challenge businesses
Tech Crunch says with an explosion in AI enterprise there will come a shortage of talent. Nevertheless, there will be great advantages for companies who adopt AI talent early – including fast growth.
This is why it’ll become important to attract new talent so you can have a successful business that’s built on having high-functioning, reliable solutions as a foundation. Of course, developers and data scientists are only the beginning.
Your organizational structure must also attract employees in every niche who understand AI. These are people who are well-informed, passionate and forward-thinking. This is important because it’s up to them to help your customers understand how AI will power of work and customer engagement in the future.
What businesses need to do to keep up
AI capabilities are powering today’s digital transformation. Businesses must understand how to extract data and utilize data-driven intelligence for this to work though. This is because data is a major benefit – and something you need to maximize an AI application’s value.
Unfortunately, data is often underutilized and misunderstood. This is something that must change and the best way to make this change is for executives to create teams that hold employees in various departments accountable for continually, successfully implementing digital tools to extract this data.
For this to happen you’ll need to hire, train and re-skill employees who have the resources they need so they can adopt AI-powered disciplines that help them do their jobs better. In other words, most businesses need to take some time to rethink and evolve the role of new digital tools – many of which are enabled by AI.
AI and other digital technologies will become more prevalent in all business niches eventually. This isn’t something that we’ll simply see at the application layer. Expert-systems will exist to help with decision-making too.
These will make the current AI tools we have (ones that rely on deep-neural nets) obsolete so that we can start using tools that can help with even bigger issues like classification problems, making larger decisions, and successfully working in complex and dynamic environments.
Unfortunately, today’s tools are data inefficient because they need so many different data points – millions in fact. In this way they’re able to act as effective black-boxes. It’ll be interesting to watch as AI moves beyond handling classification jobs today to making decisions tomorrow.