We live in a world of internet where AI is making our existing technology smarter and unlocking the power of all the data that enterprises collect. Widespread advancement in machine learning (ML), computer vision, deep learning, and natural language processing (NLP) have made it easier than ever to implement an AI algorithm layer into systems. Lately, a clear pattern is emerging which is, anything which is a repeatable process can and will be taken over by AI and machine learning. Because of which all normal processes will be automated, and the job of humans will be relegated to handling the complex exceptions.
Benefits of Combining Machine Learning and Big DataThe importance of machine learning and big data to businesses cannot possibly be overemphasized. This is because both are revolutionizing business operations and consistently providing lots of new opportunities leading to growth. Machine learning, as well as big data, majorly impact on how businesses conduct operations. As these two concepts are gaining a huge amount of attention, there's no doubting that both depend on each other's strength.
About Predictive ITBusiness organizations today are working in an environment where there are threats from everywhere. They exist in the form of competitors, uncertain market conditions and so on. This is where they rely on predictive IT for exploiting the patterns in transactional and historical data for forecasting the future with a certain degree of accuracy. Predictive IT is typically a body of tools capable of discovering and analyzing patterns in data so that past behaviour can be used to forecast likely future behaviour. It is one concept that is increasingly being used for marketing purposes.
5 Step Guide to Implement AI in Your BusinessBusinesses can make use of practical AI applications in all kinds of ways. This entirely depends on the organizational needs and business intelligence. Enterprises can employ AI for everything from mining social data to driving engagement in customer relationship management to optimizing logistics and efficiency when it comes to tracking and managing assets. There are five factors that you should keep in mind while using AI technology to scale the growth of an organization:
- Listing down your necessary requirements
- Defining critical issues to be resolved
- Recognizing the skill and technology gap
- Expanding the number of tools
- Scaling accountability
Key Takeaways from the Whitepaper titled, "5 Steps To Transform Your IT Organization With Artificial Intelligence"
- Artificial intelligence is extremely important for the future success of IT organizations
- Application of AI powered by machine learning leads to data-driven insights & recommended actions
- AI strengthens customer experience, increases engagement, and builds strong targeted communication
- Big data combined with machine learning has enormous potential to help IT better serve the enterprise and its customers