AI in social media is used for tasks like content creation, ideation, sentiment analysis, and forecasting. It can help you create personalized content that is tailored to user interests, as well as analyze customer feedback and make predictions on future trends.
Using AI for managing social media can help brands save time and money, as well as improve customer engagement. AI can automate mundane tasks like content creation and ideation, allowing social media teams to focus on more strategic initiatives. AI can also provide valuable insights into customer behavior that can be used to inform marketing decisions.
Brands can use AI on Instagram in several ways. AI can be used to generate content and captions for posts, analyze customer feedback and comments, identify influencers, schedule posts, and more. AI also can help brands uncover insights about their customers that can inform their marketing strategies.
No, AI will not take over social media. While AI can automate some aspects of social media management, it is no replacement for the creativity and strategic thinking that comes from human social media managers. AI will continue to be used as an aid to help social media teams become more efficient and effective, but we believe humans will always remain at the heart of successful campaigns.
The media and entertainment are early adopters of modern technology, embracing the digital revolution and leveraging the perpetually evolving technology to produce better content, enhance user experience and build a strong brand presence. One of the ways the media and entertainment industry has evolved to embrace the digital revolution is by integrating data-driven insights to understand the modern consumer-centric marketplaces and adapt their operational practices to improve user experience. As a result, artificial intelligence (AI) in media and entertainment has made tools like predictive analytics, recommendation engines, customer journey mapping and audience segmentation popular.
This has helped media and entertainment companies to improve their services and build a more interactive and satisfactory customer experience. Additionally, AI in media and entertainment has opened up significant opportunities with viable long-term solutions. As a result, 98% of the companies are relying on data-driven insights to drive their consumer experience as the global AI in the media and entertainment market is set to reach USD 8.4 billion in 2023.
AI use cases in media and entertainment
Some of the most popular AI use cases in media and entertainment include:
Content personalisation:
One of the biggest tools to increase user engagement and improve user experience on OTT platforms is content personalisation or content suggestions that are tailor-made for your preferences. Finding the perfect movie or show is not easy with the number of choices available today. Content personalisation allows media and entertainment companies to ensure each customer gets content suggestions based on their preferences to retain them and improve customer experience.
AR and VR:
Gone are the days when customers simply consumed a piece of content and moved on. Modern consumers want interactive and immersive content, which AR and VR make possible. AI applications have expanded how AR and VR can improve consumer experience by allowing media and entertainment companies to make interactive shows or programme video game NPCs that respond to the players’ actions instead of being limited by a set of pre-programmed actions.
Targeted advertising:
Streaming has become one of the most popular content consumption channels for modern customers. And when streaming in real-time, AI in the media and entertainment industry allows the companies to display individually targeted advertisements to each customer – based on their individual preferences – to improve customer experience (by eliminating irrelevant advertisements) and increase profit margins.
Streaming Quality:
Streaming speed and quality is the key to engaged and content customers. AI applications in the media and entertainment industry can adapt video quality – to avoid buffering – with customers’ data speeds or give customers the option to opt-out if they do not want to compromise on video quality.
Controlling the distribution of online content:
AI tools play a great role in adhering to different regulatory guidelines about content distribution in different regions. Automated content moderation tools can filter undesirable or prohibited content for regions under different regulatory bodies. Additionally, these tools can also help detect bogus content or copyright violations, protecting consumers from fake news and content creators and media and entertainment companies from theft.
Predictive analysis:
AI-powered predictive analysis can help content creators determine which content will work by analysing viral social media content. This can guide the content, marketing and distribution strategies of the companies to adapt to the changing market needs and build an agile brand.
Content categorisation and classification:
With the amount of content available online, content categorisation and classification can become a mammoth task, and without classification, content personalisation is not possible. AI tools in the media and entertainment industry can help automate tagging and annotation of metadata of the content, which simplifies the categorisation and classification of the content for customers to consume.
Efficient processes and enhanced services
Better budget allocation insights and increased revenue
Real-time marketing intelligence for increased marketing agility
Enhanced marketing and advertisement landscape
Content security and privacy management
Improved customer experience and personalisation
The media and entertainment industry has been at the forefront of adopting AI solutions to not only make better content but to personalise the customer experience and, in turn, drive profitability. Leveraging the latest technologies and tools and data-driven actionable insights are at the core of AI shaping the modern media and entertainment industry.
For organizations on the digital transformation journey, agility is key in responding to a rapidly changing technology and business landscape. Now more than ever, it is crucial to deliver and exceed on organisational expectations with a robust digital mindset backed by innovation. Enabling businesses to sense, learn, respond, and evolve like a living organism, will be imperative for business excellence going forward. A comprehensive, yet modular suite of services is doing exactly that. Equipping organisations with intuitive decision-making automatically at scale, actionable insights based on real-time solutions, anytime/anywhere experience, and in-depth data visibility across functions leading to hyper-productivity, Live Enterprise is building connected organisations that are innovating collaboratively for the future.
1. Reduction in Human Error
One of the biggest advantages of Artificial Intelligence is that it can significantly reduce errors and increase accuracy and precision. The decisions taken by AI in every step is decided by information previously gathered and a certain set of algorithms. When programmed properly, these errors can be reduced to null.
Example:
An example of the reduction in human error through AI is the use of robotic surgery systems, which can perform complex procedures with precision and accuracy, reducing the risk of human error and improving patient safety in healthcare.
2. Zero Risks
Another big advantage of AI is that humans can overcome many risks by letting AI robots do them for us. Whether it be defusing a bomb, going to space, exploring the deepest parts of oceans, machines with metal bodies are resistant in nature and can survive unfriendly atmospheres. Moreover, they can provide accurate work with greater responsibility and not wear out easily.
Example:
One example of zero risks is a fully automated production line in a manufacturing facility. Robots perform all tasks, eliminating the risk of human error and injury in hazardous environments.
3. 24×7 Availability
There are many studies that show humans are productive only about 3 to 4 hours in a day. Humans also need breaks and time offs to balance their work life and personal life. But AI can work endlessly without breaks. They think much faster than humans and perform multiple tasks at a time with accurate results. They can even handle tedious repetitive jobs easily with the help of AI algorithms.
Example:
An example of this is online customer support chatbots, which can provide instant assistance to customers anytime, anywhere. Using AI and natural language processing, chatbots can answer common questions, resolve issues, and escalate complex problems to human agents, ensuring seamless customer service around the clock.
4. Digital Assistance
Some of the most technologically advanced companies engage with users using digital assistants, which eliminates the need for human personnel. Many websites utilize digital assistants to deliver user-requested content. We can discuss our search with them in conversation. Some chatbots are built in a way that makes it difficult to tell whether we are conversing with a human or a chatbot.
Example:
We all know that businesses have a customer service crew that must address the doubts and concerns of the patrons. Businesses can create a chatbot or voice bot that can answer all of their clients’ questions using AI.
Related Reading: Top Digital Marketing Trends
5. New Inventions
In practically every field, AI is the driving force behind numerous innovations that will aid humans in resolving the majority of challenging issues.
For instance, recent advances in AI-based technologies have allowed doctors to detect breast cancer in a woman at an earlier stage.
Example:
Another example of new inventions is self-driving cars, which use a combination of cameras, sensors, and AI algorithms to navigate roads and traffic without human intervention. Self-driving cars have the potential to improve road safety, reduce traffic congestion, and increase accessibility for people with disabilities or limited mobility. They are being developed by various companies, including Tesla, Google, and Uber, and are expected to revolutionize transportation.
6. Unbiased Decisions
Human beings are driven by emotions, whether we like it or not. AI on the other hand, is devoid of emotions and highly practical and rational in its approach. A huge advantage of Artificial Intelligence is that it doesn’t have any biased views, which ensures more accurate decision-making.
Example:
An example of this is AI-powered recruitment systems that screen job applicants based on skills and qualifications rather than demographics. This helps eliminate bias in the hiring process, leading to an inclusive and more diverse workforce.
7. Perform Repetitive Jobs
We will be doing a lot of repetitive tasks as part of our daily work, such as checking documents for flaws and mailing thank-you notes, among other things. We may use artificial intelligence to efficiently automate these menial chores and even eliminate “boring” tasks for people, allowing them to focus on being more creative.
Example:
An example of this is using robots in manufacturing assembly lines, which can handle repetitive tasks such as welding, painting, and packaging with high accuracy and speed, reducing costs and improving efficiency.
8. Daily Applications
Today, our everyday lives are entirely dependent on mobile devices and the internet. We utilize a variety of apps, including Google Maps, Alexa, Siri, Cortana on Windows, OK Google, taking selfies, making calls, responding to emails, etc. With the use of various AI-based techniques, we can also anticipate today’s weather and the days ahead.
Example:
About 20 years ago, you must have asked someone who had already been there for instructions when you were planning a trip. All you need to do now is ask Google where Bangalore is. The best route between you and Bangalore will be displayed, along with Bangalore’s location, on a Google map.
9. AI in Risky Situations
One of the main benefits of artificial intelligence is this. By creating an AI robot that can perform perilous tasks on our behalf, we can get beyond many of the dangerous restrictions that humans face. It can be utilized effectively in any type of natural or man-made calamity, whether it be going to Mars, defusing a bomb, exploring the deepest regions of the oceans, or mining for coal and oil.
Example:
For instance, the explosion at the Chernobyl nuclear power facility in Ukraine. As any person who came close to the core would have perished in a matter of minutes, at the time, there were no AI-powered robots that could assist us in reducing the effects of radiation by controlling the fire in its early phases.
10. Faster Decision-making
Faster decision-making is another benefit of AI. By automating certain tasks and providing real-time insights, AI can help organizations make faster and more informed decisions. This can be particularly valuable in high-stakes environments, where decisions must be made quickly and accurately to prevent costly errors or save lives.
Example:
An example of faster decision-making is using AI-powered predictive analytics in financial trading, where algorithms can analyze vast amounts of data in real time and make informed investment decisions faster than human traders, resulting in improved returns and reduced risks.
11. Pattern Identification
Pattern identification is another area where AI excels. With its ability to analyze vast amounts of data and identify patterns and trends, AI can help businesses and organizations better understand customer behavior, market trends, and other important factors. This information can be used to make better decisions and improve business outcomes.
Example:
An example of pattern identification is the use of AI in fraud detection, where machine learning algorithms can identify patterns and anomalies in transaction data to detect and prevent fraudulent activity, improving security and reducing financial losses for individuals and organizations.
12. Medical Applications
AI has also made significant contributions to the field of medicine, with applications ranging from diagnosis and treatment to drug discovery and clinical trials. AI-powered tools can help doctors and researchers analyze patient data, identify potential health risks, and develop personalized treatment plans. This can lead to better health outcomes for patients and help accelerate the development of new medical treatments and technologies.
Let us now look at what are the main disadvantages that Artificial intelligence holds.
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