There is an immense noise about artificial intelligence, while multiple news stories about the impacts of Al have encompassed the entire internet. In 2017, PricewaterhouseCoopers reported that 72% of executives believe that AI will become a business advantage in the future.
However, most organizations are unaware of how to utilize AI intelligently with the assistance of human effort. Some challenges prevent companies from fruitful gains and maximum benefits through AI.
- Artificial intelligence’s reported advantages and benefits are extensively exaggerated, eventually giving an unrealistic image.
- Most companies think of achieving high targets via AI instead of going for numerous small wins with the assistance of AI.
- The initiation of Machine Learning technologies and Artificial intelligence isn’t mature. The investment in these has an indirect impact on hiring costs. However, machine learning is time-consuming, complicated, and uncertain.
The misconceptions about AI
The over-assumed sparkles of artificial intelligence are somewhat a result of projected fantasy through things such as autonomous cars, robots, or Natural Language Processing (NLP), which can depict human speech. However, a total delusion is that Artificial intelligence could serve as intellectual support like a human.
Although this could be an essential part of the organization, businesses can still not meet their requirements through these massive research programs. Such technologies require a significant amount of time before their widespread adoption. For instance, Google started research on a self-driving car in 2009, and it would still take ten years more to be in everyday use.
Artificial intelligence is a complicated aspect that requires deep concentration for accurate recruitment. Incorporating various advancements makes AI an attractive and exciting sphere; however, such technicalities are the leading cause of the projects being risky for businesses at this stage.
To a certain extent, AI has been given an unrealistic high rating through overhyped information, which is also an early prediction. Organizations haven’t had an appropriate idea about the resources and costs required to implement machine learning technologies into the industry. Therefore, firms investing millions of dollars and time in AI are at risk if they haven’t adequately fabricated their workings.
The application of AI could be highly successful for firms if they intelligently implement it and their company’s human resources. As a trending technical side, much research is conducted regarding its beneficial application. Some industrial areas where artificial intelligence could address the maximum profit might be supply chain optimization, customer or employee retention, marketing performance, HR assessment process, manufacturing optimization, pricing, and anomaly detection.
What are the common approaches?
Most companies and organizations are questing to achieve a high goal through AI. This common perception may persist due to the exciting and breathtaking confessions propagated regarding AI. However, an ignored aspect by many of these firms is that a considerable budget, long runway, and expensive recruitment could accompany a high target thought.
Therefore, an expected outcome could be a failure or a decision to stop executing the plan. In November 2016, Gartner predicted that 90% of enterprises would invest in C-level data science leaders until 2019. However, half of these investments will be unsuccessful due to the inadequate focus on core business improvement.
Anticipating AI breakthroughs could distract organizations from multiple opportunities to score achievements for their business. Also, organizations revert their minds from AI recruitment due to the high investment in money, hiring, time, and risk.
How can you implement AI accurately?
Artificial intelligence could be an immense advantage for businesses. It could completely transform industrial growth, but only when accurately managed. Tractica forecasts that the revenue generated from AI software’s direct and indirect applications will grow from $1.38 billion in 2016 to $59.75 billion by 2025.
Companies should start with the target of numerous small goals so that the achievement of one could raise their confidence level for the future. On the other hand, chasing a big target demands a high investment, which could cause an immense loss.
Therefore, the companies should start with a small investment that could dramatically reduce cost, complexity, time, and resources. One important thing to remember is that the project could take 2-3 months to resonate properly, or in this period, it could be completely ready for production. However, organizations should search for new technical approaches and follow future updates.
Share this article
About the Author
Zehra Ali is a Tech Reporter and Journalist. She has done her Masters in Mass Communication. Topics related to cybersecurity, IoT, AI, Big Data and other privacy matters are extensively covered by her on various platforms. You can follow her on twitter.
More from Zehra AliRelated Posts
How to Avoid Gambling Restrictions in 2024
KEY TAKEAWAYS Gambling is prohibited in multiple countries as it is addictive, and many people go ba...
20 Best Penetration Testing Tools For Security Professionals
KEY TAKEAWAYS If you’re in a hurry, then have a look at the list of 20 best penetration testin...
The Role of Developer Security in Software Development
KEY TAKEAWAYS The revolution of DevOps has reduced the SLDC and resulted in the creation of many sof...
How To Detect Hidden Cameras And Listening Devices? A Complete Guide
Many people feel like someone is watching them or listening to their conversations. They may be righ...
What is Virtual Firewall and How it Helps Us in 2024?
Scientists and technicians are trying to invent the latest technology protection to create barriers ...
7 Ways to Fight Against Ransomware Attacks
KEY TAKEAWAYS Ransomware attacks are growing frequently and affecting every sector of the business i...
