Key Trends To Dominate Big Data Analytics This Year
Big data analytics has been in the forefront of providing insights and predictive power to businesses in recent times. Once an industry hype, it has become a critical need and requirement as more and more businesses realized that data and the related infrastructure, in all forms and sizes, is critical to making the best possible decisions. In 2017, we will be able to see continued growth of systems that support massive volumes of non-relational or unstructured data as well as move towards processing data in more real-time.
Data Governance and Data Quality will grow in importance as organizations bring on additional data sources into the decision making. These systems will evolve and mature to operate well inside of enterprise IT systems and standards. This will enable both business users and data scientists to fully realize the value of big data and move to Advanced Analytics. The top big-data trends include:
IoT goes mainstream
According to a recent predictions report, smart cities as planned by the government of India will use nearly 1.6 billion IOT connected devices by 2016, an increase of 39 per cent from 2015. Smart commercial buildings are predicted to be the highest user of IoT until 2017, followed by smart homes. Together these two categories will consume just over 1 billion connected devices by 2018. The Internet of Things has vast implications for government institutions from city hall to international governing bodies. Tens of billions of physical devices are expected to join the global network by the end of the decade, providing a number of concerns and opportunities for planners, policymakers and regulators.
Analysis of Things (AoT)
It is expected that at places such as industrial zones, office parks, shopping malls, airports or seaports, IoT can also help reduce the cost of energy, spatial management and building maintenance by up to 30 per cent. The biggest trend therefore will not just be the increase in connected devices but the data that these devices begin to generate that will create a strong demand for the ‘Analysis of Things’ or AoT. It is the emergence and mainstreaming of AoT that we will see as a significant outcome as the IoT ecosystem comes into play. This analysis or analytics of things will go on to provide disruptive advantages to companies and entities.
Artificial Intelligence and Machine Learning
Artificial intelligence (AI) and machine learning have begun to creep into our lives in more diverse and unexpected ways. Just at a glance, AI algorithms are starting to self-improve search rankings and search results, automated investing, and personal digital assistants. Technology is getting better at making machines better, and in the next few years, we may start inching closer to approaching human-level intelligence with these systems.
IoT, Cloud and Big Data come together
The technology is still in its nascent stage, but the data from devices in the Internet of Things became and will continue to become one of the “killer apps” for the cloud and a driver of petabyte scale data explosion. For this reason, we see leading cloud and data companies bringing Internet of Things services to life where the data can move seamlessly to their cloud based analytics engines.
- Hybrid Cloud Deployment Leads To Massive Cost Savings: Study
- AI Implementation: A Few Things Enterprises Must Know
- GDPR Compliancy: Road Paved For A Global Change
- Why Is Android Oreo A Good Bet For Enterprise
- The Internet Of Things: What's It And Why It Matters
- Metro Shoes Taps IBM Watson For Digital Commerce
- Modern Cloud Infrastructure Is A Key Growth Enabler
- Smartron Brings AI powered IoT Platform
- Weekly Rewind: Top 10 Stories On CXOToday (Aug 14-18)
- Why Enterprises Should Adopt Hybrid Cloud