Big data analytics predictions of 2017? Check.
Data science industry is one of the hottest field of 21st century. The data science industry has a lot to offer to data science professionals and people who aspire to become a part of data science industry. Experts of data science industry have come up with certain trends in data science arena. Some of them include-
1. Artificial Intelligence and stakeholder M&A movement will rise- There's probably a gigantic demand for AI, machine learning and deep learning. Primary players including Apple, Google, Salesforce and Microsoft to AOL, Twitter and Amazon drove the acquisition pattern this year. Because of the short working history of a large portion of the new companies being gained, these moves are as much about obtaining the predetermined number of AI specialists on the planet as the estimation of what each organization has created till date. The fight for AI venture mindshare has obviously been drawn between IBM, Salesforce Einstein, Watson, and Oracle's Adaptive Intelligent Applications. What's surely knew is that AI needs a predictable establishment of solid information whereupon to work- and this will demand expertise which means- employees and data science professionals with data science certifications. Companies can also opt for big data certification programs to unlock the maximum potential of big data analytics by asking their employees to acquire data science certifications.
2. Data lakes will finally become valuable - Many organizations who took the data lake risk in the good 'ol days have spent a lot of cash not just tying up with the guarantee of low cost stockpiling, but also numerous ways to aggregate the noteworthy pools of data to for actionable insights. The only challenge that the companies are confronting is finding skilled employees- which means data science professionals with data science certification. Alternatively, some firms are opting for big data certification programs to make the most of big data analytics. With existing big data platforms perceiving the requirement for a dependable information establishment, and new tasks being joined into a comprehensive information administration system, data lakes are expected to satisfy data science professionals in 2017.
3. Data monetization techniques will begin to develop - For companies to leverage the data they use to maintain their organizations as a potential new income stream, the information must be genuine, applicable, portioned, anonymized and secured, if important, and reviewed to ensure responsibility for. One would surmise that information suppliers who as of now offer information as a profession would have the advancements set up to meet such necessities, and in addition an approach to computerize and uphold the administration and permitting of their information, yet that’s not the situation. Data merchants with data science certifications have started to join dissemination through Data as a Service (DaaS), opening a more effective approach to track and permit their information straightforwardly to undertakings, additionally to offer information at the purpose of engagement.
But, for the companies to unlock the maximum potential of big data analytics, it becomes imperative to employ professionals with data science certifications- only then they can attain the competitive edge or else, firms can also choose big data certification programs in-house for the employees to understand the tools and techniques of big data analytics.
