The growing adoption of AI and machine learning
Artificial Intelligence and Machine Learning are two disruptive technologies that are changing business, education, healthcare and finance in productive ways. Reports of the International Data Corporation (IDC) survey say that companies are already spending more on AI. Over half of the businesses have adopted AI in one form or other. To implement such powerful technologies and empower your business, these are the basic requirements.
Find out the commonalities across your process flow
In order to be proactive in implementing these advanced technologies, we have to identify commonalities throughout the business. These commonalities or process flow has to be grouped under a leader like Chief Information Officer. The leader must identify the right technology to be implemented.
Research on topics and tools
Learn every nuance in technology and develop skills that suit the AI potential. Since this stream is exponentially growing, there is a huge skill gap. To overcome this disadvantage, train your talent pool to face AI potential.
AI-based analytics
The first place where you can seamlessly implement AI in your business is in analytics. If you are a communication service provider, you could implement AI in data gathering and analysing. If you are a manufacturer or product based company, you could implement AI in customer interaction and services.
After implementing AI in analytics, standardise those data implementation without any prior judgement. Through this approach, you let the technology partner unleash their full potential in analysing the data you gathered.
Set realistic goals
As mentioned earlier, there is a huge demand for AI professionals. Even if certain organisations have skilled AI professionals, they are naive about creating interesting and challenging roles for them. This stresses both the organisation and the professional who is employed. To reduce this stress, you need to set realistic goals for the AI professional. On the other hand, the AI specialist should also understand that they should be working with system integrators and vendors for a while.
By implementing automation in networks and systems, we avoid huge operational costs. These cloud-based solutions are easy to implement and allow a flexible working environment.
Al and Machine Learning are the most advanced technology for software-defined networking and network function virtualisation.
Be the first in the industry
Showcase your technology capabilities by being the guinea pig in implementing advanced potential available. However, keep your options open to centralise the process and technology. AI and ML are capable of handling inventory, governance, maintenance, and common analytics. Collaborate with others to establish a project that is profitable and advanced.
Application of AI and ML
Some of the readily available AI and ML technologies are in:
A) data analysis
B) communication management
C) process automation, and
D) customer care
These technologies are found to be useful across various verticals of business. From healthcare to manufacturing AI is revolutionising the business world.
- ML is finding immense opportunity in running models for healthcare providers and insurance companies in the healthcare domain. Besides, these technologies have promising results in disease diagnosis equipment. This will enable doctors to predict and treat patients at the right time.
- ML models are already proving helpful in the finance domain by finding the irregularities in customer payment and behaviour. Mountainous transactions happen in a day and these data can easily be compromised. By strengthening these technologies, we create a cyber safe.
- In the retail market, AI and ML are used to find new combinations and customer preferences. This helps in providing the customer with a wide range of options.
Challenges in adopting AI
Even though they are very advanced and can be the most helpful technology solutions you could afford, there are four challenges involved.
- Data storage is a big issue when you are planning for on-site storage. Cloud storage solutions are the best recommended, particularly a public cloud solution will be the best.
- If the data is not processed properly, the AI model may fail to interpret them.
- Without proper data organisation, it is likely sending the AI model into a sea of information without any direction instructions.
- To adopt such advanced technology, the organisation must have maturity in handling these technologies.
But all these drawbacks can be overcome by implementing the right solution with the right attitude.
How can E2E Cloud help you in implementing these advanced technologies?
The life-changing technology solutions we discussed are all cloud-based. The E2E cloud server can help you in implementing these solutions. You can also migrate from other cloud service providers to the E2E cloud. The steps are easy, and you could do it in a few hours.
The E2E cloud is trusted by many top brands globally because of its prompt service and high uptime