Zebra Technologies predicts that we will see the emergence of the Internet of Things 2.0. “The IoT market will be transformed from a closed source, proprietary first-generation solution to a more mature, industry-standard, and adaptable solution. With open source methods, organizations can deliver from a greater number of services. Make a choice among the vendors and their respective APIs."
1. The rise of data civilians
Oracle predicts a new type of user: Data Civilian will rise. The company said: "Although complex data statistics may still be limited to data scientists, data-driven decision-making will not be like this. In the coming year, simpler big data discovery tools will allow business analysts to look for enterprise Hadoop clusters. Data sets, re-create them into new mashup combinations, and even use exploratory machine learning methods to analyze them.
2. "Big Data" will die
Nucleus Research has publicly expressed a different opinion, predicting that the big data we know will die. The company said: "In the past two years, every company and its people seem to have introduced some form of big data solution. It is time to say goodbye to the shiny object syndrome. Users will treat anything like this. Data treats and accesses big data like that, rather than addressing the big and arduous task of big data analytics.
3. Venture capital companies pay more attention to the conclusions given by big data
According to Keri Smith, senior vice president of Opera SoluTIons, it is time to start asking sharp questions as venture capital firms invest in data startups. Smith asked: "What is the true return on investment (ROI) of big data solutions? How can companies cross this stage of departmental deployment to maximize the value that big data creates across the enterprise? What are the meaningful uses? Is the field suitable for many vertical areas? If your company does not ask such questions now and actively seek answers, it should be soon.
4. Machine learning and human insights infiltrate new industries
Spare5 CEO Matt Bencke said that we will see the rise of Data Jedis in 2016. He wrote: "There will be more work to be changed by artificial intelligence in the future than ever before. 'Data Jedi Knight' will become the most sought-after employee. The combination of machine learning and human insight will penetrate into new industries. Including the healthcare and security industries, employees need to be flexible to provide different services or they will fall behind.
5. Data science shines in the banking world
Mike Weston, CEO of data science consulting firm Profusion, predicts that data science will shine in the banking world. He wrote: “The financial industry is one of the first industries to adopt data science technology/methods. However, the pace of adopting data science for all banking service companies is far from uniform. In 2016, I expect this situation to change. Good use of data and service personalization will move from the financial market to the retail banking sector. This will have a profound impact on marketing, customer service and product development."
6. Artificial intelligence and cognitive computing make personalized medicine a reality
The advanced artificial intelligence caused the robot to become the ruler, and this scene scared Elon Musk. However, according to Franz's cognitive scientist and CEO Jans Aasman, artificial intelligence should be classified as a "friendly technology." He said: "In 2016 and beyond, artificial intelligence and cognitive computing will make personalized medicine a reality, help save patients with rare diseases and improve overall health care."
7. Chief Data Officer will become the "new darling" in the field of information technology
Michael Ludwig, head of Blazent's chief technology officer's office, believes that the chief data officer (CDO) will become the "new darling" in the information technology arena, always making office politics more complex. He wrote: “Because big data is complex and requires complete and accurate data, CIOs will become more and more important. Therefore, CTOs and CIOs need to give way to the chief data officer. Unless a clearly defined role is established and a relevant team is formed, there will be tensions in the top management team."
8. Chief Insight Officer becomes a key leader in the big data consolidation process
But not everyone thinks so, including the chief visionary of the PROS company, Craig Zawada. “In 2016, we will begin to see the gradual decline of the appointed CIO, which is a role in the past. On the contrary, there will be a Chief Insight Officer in 2016, who will be a key leader in the big data consolidation process. ""
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