Machine Learning (Machine learning) is rapidly expanding into industries such as medical, financial, social media, face and voice recognition, online fraud detection, and biometrics. On average, Gartner expects 30% of Government and major corporate contracts would need AI by 2025.
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Where do you see machine learning going in the future?
Cognitive enhancements
Developers may integrate intelligent features into their apps using machine learning services like SDKs and APIs. This allows robots to learn from their surroundings and perform tasks like visual identification, voice recognition, and dialect comprehension. How else does Alexa “wake up” to perform a google search on 9/11 theories for you if our phones are already listening to our conversations? We couldn’t have predicted this a decade ago, yet here we are. Human engagement skills are always evolving to better serve and comprehend the users.
We spend so much time in front of screens that our phones have actually become an extension of ourselves. Your computer learns about you and adjusts your results. Why are no two Google searches alike? Cognition.
Cloud Primero provides machine learning based customer behavior analysis help in qualitative and quantitative monitoring of how customer interact with company.
Mass Personalization
Retail, social networking, and entertainment systems employ Machine learning to customise consumer experiences. The face swap filter uses picture recognition and computer vision techniques to detect and (mostly) properly exchange facial features. Machine learning is being used in e-commerce and social networking to deliver hyper-personalised experiences and freemium payment options.
NLP can automatically evaluate and handle support requests before they reach your live personnel. Cloud Primero’s smart chatbots may also prioritise and route calls to the appropriate agent, or carry out requests themselves if the application is simple.
Detection and Prevention of Fraud
The irony of typing “I’m not a robot” into a computer to avoid fraud is not lost on banks and other financial organisations.
In order to anticipate fraudulent activities, banks are using machine learning algorithms based on historical records. Phishing emails may be identified and removed with the use of classifiers and regression models. In order to curtail identity theft, algorithms based on machine learning and computer vision are continuously scanning critical databases for signs of a match. In order to decrease document counterfeiting, pattern matching algorithms may also be used to identify fake papers.
Predictive analytics from Cloud Primero uses historical data, predictive modelling, and big data machine learning to help your company better forecast future outcomes, prepare for unexpected occurrences, and identify potential future actions.
Quantum Computing’s Rise
“Quantum computing”—sounds like a sci-fi movie, no? But it’s a real thing now. Microsoft CEO Satya Nadella names it as one of three technologies that will transform our planet. Quantum algorithms have the potential to revolutionise machine learning. It may analyse data significantly quicker, allowing for rapid insights and information synthesising.
Compute intensively in a flash, saving time and resources. The improved machine performance will open various doors that will elevate and accelerate development. Imagine what may be done if we delved into a new universe of computers and physics?
Improved Healthcare Safety
Using machine learning to predict and support COVID-19 methods has grown significantly in recent years. We believe that the medical sector will continue to employ machine learning to perform a wide range of duties in the future, and we believe that machine learning will be able to handle increasingly complex use cases in the future.
Precision surgery performed by robots. Personalized treatment plans are created using machine learning software that go through a patient’s medical history, records, reports, and so on. Projects like IBM Watson Oncology have a big impact here. Elder health monitoring and prevention using wearable technology is poised to make significant breakthroughs in the near future. Cloud Primero provides unique solutions through computer vision services by integrating computer vision with ERP, CCTV, and POS systems, that can help healthcare institutions to enhance the level of services they offer.
Robotics Rise
With the growth of machine learning comes a new face—robots! Machine learning’s complexity is no ‘small marvel’.
Robotisation will enable multi-agent learning, robot vision, and self-supervised learning. Drones have already displaced human delivery workers. With the pace of technological advancement, the sky is the limit. Our childhood dreams of living in the Jetsons’ era will soon come true. Small jobs will be mechanised, and humans will no longer be self-reliant, as a bot will always be following them like a shadow.
Robotic process automation can automate repetitive tasks and data-intensive processes, freeing up business users to focus on value-added work and customer-focused projects. Moreover, RPA enables enterprises of all sizes to automate business processes for users with varying degrees of automation expertise.
Prepare for the Future of Machine Learning with Cloud Primero
Cloud Primero team has implemented multiple machine learning use cases in the sports, manufacturing, healthcare, and financial services sectors. We can help you sift through the machine learning hype and uncover the use cases that warrant investigation for an ML-based solution. Our objective while working with companies is to develop solutions with a high success rate and a favourable return on investment.
