2014 Big Data definitely not going to happen 4 things and something that's going to happen

In large data environment, the disclosure and prediction of large data is a case of contention. But Jordan Novet has given different opinions, mainly from these angles:

1 when big data arrives, does every company need to hire a Chief data Officer (CDO)?

2 for (listed) companies, how will the face of large data?

3 will data Science application software replace data scientists?

4 with large data, will Google become the new US Blackwater Security (Blackwater)?

5 In addition, he hopes that future applications of large data will bring more forward-looking experiences and attractions to consumers.

The author is Jordan Novet,jordan Novet, author of the American Science and Technology news blog, and VentureBeat contributor to the Business Analytics agency, which writes articles related to large data, cloud computing and other business technologies.

This year, many executives, analysts and many other authors have been exposing and predicting big data, but we think some of them seem quaint and unrealistic. Just to test our suspicions, VentureBeat and LinkedIn's former chief data scientist Pete Skomoroch a conversation.

In the conversation, Skomoroch confirmed our suspicions while presenting some of his own opposing views on large data projections. These views are as follows:

No, not every company will hire a Chief data Officer (CDO). Last week, Brad Peters, chief executive of Business Intelligence (BI) start-up Birst, said the Post's "glorious moment has finally arrived". But Skomoroch does not think the CDO title will be widely accepted this year. Even though some companies really decided to fill the vacancy this year, Skomoroch just wanted to know what impact the job creation would have on the company. If CDO reports to the CEO, the company may be affected. And Skomoroch said, "If the CEO devotes all his energies to a single offshoot institution, it is not clear whether the creation of a CDO will be a great success."

No, companies don't list how much data they have on their earnings statements. Although in the 2013 Databeat/data Science③ summit in VentureBeat last month, Skomoroch said people would "start looking at what the data assets of those" listed "companies on their balance sheets would be", but he added that This year is likely to be hard to do in real life. Skomoroch also does think of data as an asset. And the more data, the better; the more detailed the data, the better; the more scarce or popular the data, the better. Nonetheless, it is still not easy to calculate the total amount of data a company keeps in many data warehouses. It may also be difficult to standardize and standardize data reporting. Finally, some companies may not want to disclose the valuable data they have.

No, data science apps can't replace real-time data scientists. While startups may try to automate the process of discovering trends and anomalies in large amounts of data, software is most likely to be unable to replicate the capabilities of people trained in the principles of data science and best practices. The whole concept of "automation" reminds Skomoroch of the idea of outsourcing software years ago. Although start-up companies such as Trifacta will shorten the time to prepare data for data analysis, future work will still use the advice and advice of professionals (with specialized skills). And for Skomoroch, creativity, intuition, these "human factors" still seem extremely important. He said, "(because) this is a kind of knowledge work (knowledge work)".

No, Google is not going to be a defense contractor. Although Google has been involved in the Robotics Challenge (DRC contest) organised by the US Defense Advanced Research Program, and recently completed a takeover of Boston Power (Boston Dynamics), the robotics company, Skomoroch said, " Google will not be the new Blackwater Security Company (Blackwater) ⑧. In addition, Skomoroch said, "I think what Google is doing is related to attracting talent and attracting people who are committed to developing self-driving cars and related to other projects they are developing." One might say that Google has been doing work involving a lot of data from the start, improving the company's business and workflow. Think of Google search, Google Mail, Google Inbox filter (Gmail inbox filters), and you'll know that it's all about big data. Google is now preparing more to develop hardware-related projects.

So what should we expect to see in the future? Skomoroch that the intelligent agent will become more attractive to consumers after 20 years of the intelligent agents in the man-machine conversation technology.

1216 For example, Google now and Apple's Siri apps have attracted many consumers and should continue to attract more users in the future.

"I think the next phase will be more forward-looking," Skomoroch said. "It's actually going to help us entrust things or deal with things so much that we really don't need to do it in person," he said. To that end, he cites the Wall Street's high speed, algorithmic-driven trading model as an example.

He, like many startups trying to make the model, wants to be more specific this year. "I don't think this model will make a big leap in 2014, but I'm sure you will have enough interest in it," he said.