Why Big Data, Machine Learning, and AI are The Key to Success in 2019
It’s important to keep in mind some of the trends and advancements that will impact how we utilize and leverage critical data throughout the year.
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Business leaders are increasingly recognizing the importance of managing data effectively in order to gain insights and competitive advantages. However, as data volumes continue to explode, companies need to ensure they have the right infrastructure in place to harness the power of this critical information and stay ahead of the curve. Over the past year, we saw an uptick in the adoption of modern data management strategies as more executives look to integrate data from various sources in order to drive deeper insights.
As businesses continue to reallocate budgets and pinpoint areas vital for continued investments, it’s important to keep in mind some of the trends and advancements that will impact how we utilize and leverage critical data throughout the year so they can continue planning effectively.
AI and ML Will Remedy System Failure in DevOps
One of the biggest challenges today’s DevOps teams face is application and system failure. This year, we will see AI and ML enable computers to go beyond predictive analytics and begin directly taking corrective actions. An advancement of this level has the potential to allow business to significantly reduce the need for human intervention, which in turn, encourages companies to set up ongoing processes while also promoting efficiency. Essentially, AI and ML can be leveraged to perfect the deployment of DevOps strategies.
Rise of One-Click ML Models
The emergence and increased implementation of industry and use-case-specific specialized ML models will be on the rise this year. As a result, training models will need to be implemented in order to ensure data is being distributed properly. This increasingly specialized system has the ability to enable business decision-makers to gain insights more efficiently and more intelligently. By providing a simple solution to a complex problem, enterprises are able to execute on their decisions in a timely manner.
Transforming Legacy Databases and Processes
As the trend of democratizing machine learning technologies continues to grow throughout the year, AI will begin to be used more extensively by enterprises of all types through easily accessible ML APIs in the cloud. As part of this transformation, it will become easier for businesses that have long depended on legacy data storage to migrate to modern technologies through innovative AI-based solutions and significantly reduce process times with the adoption of intelligent RPA systems. Because this transformation can help cut costs for enterprises, customers will also benefit from this trend.
Of course, as all businesses know, these are far from the only trends that will impact data programs and investment throughout the year. However, they are important considerations to keep in mind to ensure your infrastructure is keeping pace with the ways employees will want to utilize and leverage your data. While only time will tell what’s next in the big data playbook, one thing is certain: real-time, data-driven decision making will be crucial in today’s fast-paced digital world.
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