The 10 Latest Artificial Intelligence Trends That Your Business Needs to Embrace
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Loading... - Adriana Melo
- 19 Jul 2022
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Artificial Intelligence (AI) has quickly become an essential component for business processes across industries. It’s now more common than not for business tools to make use of AI and machine learning technologies.
According to McKinsey’s The State of AI in 2020 report, more and more businesses are now turning to AI to increase value in their businesses. And 50% of survey respondents report that their companies have adopted AI in at least one business function.
Clearly, AI is big news. So, today, we’re going to be discussing the top ten artificial intelligence trends that will set your business apart.
1. AI for Cybersecurity
One of the biggest artificial intelligence trends we’re seeing is the increased use of AI technology for cybersecurity and surveillance. With an increasing amount of business happening online, cybercrime is an increasingly pressing issue for organizations. This is especially true for those with extensive networks of connected devices.
AI techniques are helping to produce more robust security measures in a number of ways. Firstly, AI can learn to recognize and flag criminal activity before it becomes a problem. Secondly, AI can be used to improve access security measures with features like:
1. Face and voice recognition
2. Video analysis
3. Biometric authentication
These are ideal for improving security systems and getting ahead of suspicious activity.
2. AI for Communications
The next trend we’re going to focus on is AI for communications. Next-generation AI tools use Natural Language Processing (or NLP for short) to generate visual, auditory, and text-based data automatically. What’s more, these processes have become so good that AI outputs are virtually indistinguishable from real data.
One of the biggest NLP trends to take root has been the development of AI chatbots. Chatbots can be used to automate business-customer interactions to provide clients with human-like interactions on-demand. This takes the pressure off customer support teams by automating repetitive tasks. And it improves overall access to customer services.
For example, chatbots can easily replace humans to:
1. Answer simple client questions
2. Organize appointments
3. Send out reminders or personalized offers
But as well as real-time communication, AI technology is also capable of creating content. Increasingly, AI tools are being used to generate creative outputs, such as writing headlines or designing logos.
3. Automated Business Processes
More and more organizations now use AI technologies to automate their business processes. That could involve automating your marketing efforts, appointments… the list goes on. AI tools are able to memorize and follow set protocols of tasks. And, as a result, they can help businesses streamline business processes and become more efficient.
Increasingly, manual data procedures are being replaced by automation. Intelligent automation can:
1. Solve common business challenges
2. Reduce pressure on employees
3. Eliminate manual error
4. Increase productivity and efficiency
The key to achieving a successful digital transformation is scalability.
Marketing automation is taking the business world by storm. With so many business models to choose from in this space, you might be wondering which processes can be automated successfully.
For example, lots of marketing teams weigh up the benefits of affiliate marketing vs dropshipping.
In reality, AI can be applied successfully to both of these marketing models. AI helps affiliate marketers gain valuable insights into the types of content customers enjoy. Automation can also help reduce human-run tasks in a dropshipping business.
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Intelligent Process Automation (IPA) uses Robotic Process Automation (RPA) and AI in combination to automate end-to-end business processes. This is proving to be the key ingredient for successful digital transformations. IPA enables businesses to automate processes aided by machine learning, Natural Language Processing (NLP), and other intelligent automation.
4. Ethical AI
As well as focusing on what AI can do for businesses, there’s a growing awareness surrounding the ethics of AI. And the topic is being discussed more and more at computer science conferences.
Demand for ethical AI is rising. Today’s consumers are increasingly value-driven. And more and more organizations are questioning how we can make use of these technologies in the most ethical way possible.
It’s critically important that we monitor the quality and use of big data because AI technologies use it. AI data compliance (AKA ensuring that all AI systems meet the prerequisite regulatory requirements) is essential to the distribution and use of responsible and ethical AI solutions.
Platforms like Hadoop help organizations manage big data applications. You can learn more in the Hadoop blog post from Databricks. Read More...
