Power of Artificial Intelligence & Big Data Analytics: Intelligence that Mirrors Human Behaviour
- by 7wData
For efficient data analysis, digital technologies play an inevitable role in business and Artificial Intelligence and its dominant form, Machine Learning has become the most sought-after technology now to help innovate and transform businesses
What enables clients to transform their businesses? What keeps them awake at night to rewrite customer stories? It is the reliable data that gives analysis and insights for enterprise owners to decode, innovate and gain customer’s trust. For efficient data analysis, digital technologies play an inevitable role in business and Artificial Intelligence and its dominant form, Machine Learning has become the most sought-after technology now to help innovate and transform businesses.
Increasingly, organizations are realizing the importance of analytics in their businesses and digging deeper into data to increase its effectiveness to gain competitive advantage. To achieve reimagined business objectives, organizations are considering implementing machine learning and artificial intelligence along with analytics in their daily tasks.
Imagine a scenario where you are diagnosed with high blood pressure just by your retina scanning. This imagination can turn into reality soon leveraging and correlating multiple data sets and applying advanced AI techniques. Through deep learning techniques, data can be automatically recognized to classify images, text, and speech with greater precision. This has led to an impressive development of applications in text and speech recognition, imaging analytics, Natural Language Processing (NLP), and many more such breakthroughs in different industries etc.
To move ahead of competition and to get an edge over others in the industry, organizations are engaging in machine-learning based predictive analytics. Neural networks and deep learning algorithms successfully discover and utilize hidden patterns in unstructured data sets and reveal new information from these data sets. Today, where businesses are able to collect data about their customers within seconds, it is very important for them to quickly process and extracts real-time insights from the data. Organizations will have to build a strategy to harness large volumes of big data in near real-time and re-wire several of their business processes.
Powered by cloud, containerization, APIs and microservices architectures, the modern IT landscape looks very different from what it was even 5 years ago. Many organizations have invested in Descriptive Analytics in the past and have reaped benefits, but it is now time to take advantage of advances in Analytics.
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