During a recent meeting, one of my employees said that we should be looking toward building AI technology-based products for our consumers. Upon questioning, he gave me a bland example of the movie Terminator but no product like Arnold Schwarzenegger. I wasn’t disappointed but felt that this happens in many organizations that look too far in the future rather than the current applicability.
According to Forrester, 53% of global data and analytics decision-makers stated that they have already implemented, are in the process of expanding, or are upgrading their AI implementation. Over the past 1 year, 29% of global developers have worked with the AI and ML software. Using edge computing, 54% of the global mobility decision-makers are anticipating that they will be able to handle present and future AI demands. About 16% of global B2C leaders are planning to increase their spending on data and analytics technology.
AI is still in demand,
Though if we go far into the future, the applications will be endless and the prospects unending. So take a step toward 2020 and see what will be possible next year,
1. Utility robot
Assisting humans in a risky task.
It is a robot that can replace the human on the basis of all functionalities and intelligence.
It was a big challenge when the inventors imagined building a robot that can act and think like a human. Yet we devised a robot that is functional enough to do certain tasks.
Boston Dynamics developed SPOT, a nimble robot that can climb stairs and traverse through rough terrain. Massachusetts State Police recently tested the robot to open doors to check the potential of these robots to assist human officers during hostage situations.
Can you imagine if they could have replaced the firefighters in Australia? The government could have applied thousands of SPOT robots in the field to assist human firefighters during a dangerous situation.
2. Virtual assistant
Alexa, can you please schedule a meeting for tomorrow.
Virtual assistants from Google and Amazon have been on the forefront, giving effective no-touch solutions to consumers, ranging from voice-based connectivity to multi-function smart device. Personalization, securing users’ privacy, and cross-platform connectivity for users will be the next step for businesses building virtual assistants.
3. Face identification
Securing devices and connectivity.
Smartphones have already implemented the face ID technology, but they do come with certain glitches. In 2020, businesses will explore the face ID technology to improve the customer experience. AI-driven applications will allow the machine to recognize the user’s face and complete many of the transactions.
4. Analyzing data
Checking the data authentication.
During the deadly mass shooting recently, social media sites such as Facebook, Twitter, and Snapchat became a line of live coverage, but many of them were fake. AI-powered analytics tools could be taught to determine whether the headline agrees with the article body, process text, analyze the writing style, and helps image forensics to detect the image authenticity. The ratio of reactions versus shares on Facebook help in determining the popularity of the article, apart from correlating the new data from other data on the website and determining anomalies.
5. Neural network
A functional object sending and receiving signals.
A human brain communicates using neurons to send signals and communicate, and the body performs a different function when the signals are communicated across nerves using neurons. The complicated setup of signaling systems is analyzed to create an artificial neural network. Text classification is an essential application with a focus on web searching, information filtering, and sentiment analysis. Named Entity Recognition (NER) is to classify terms based on entities, so it becomes easier for text readers to define terms.
Final thought
In 2019, AI was seen with caution as the governments and organizations started tethering with users’ private data. There is an underlying negative segment about AI in the minds of the consumer, so businesses will need to be cautious in 2020 to deal with implementing AI. In 2020, users’ consent will be one aspect many businesses would be working on. The challenge for businesses is to optimize their ongoing business process using AI technology and then forward them toward applicability. The year 2020 will be interesting because autonomous devices will make their way through the market.
AI has evolved over the decades, but its usability still remains in question. The challenge for businesses is to identify processes where AI application can be implemented, not only as a technology but as a performance enhancer. It will be interesting to see how AI will be moving from the small steps of 2019 to taking a giant leap in the coming months. To know about recent trends in AI, you can download our latest whitepapers on Artificial Intelligence.
