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Humanized big data, insight engines & the future trajectory of technology
The business world is in the midst of a digital transformation. Let’s unveil the technology trends that will allow you to successfully and confidently navigate the digital era, and considers how conversational systems, humanized big data, and augmented information will benefit everyday business.
1. Conversational systems: In human dialogue with artificial intelligence
Companies are increasingly investing in technologies like natural language processing and natural language question answering that make their systems smarter and thus more efficient. For example, in conventional systems to date, the user types in a search query and receives a hit list that is no more than a bunch of documents from which he must extract an answer; a question-answering system responds with a concrete answer, so that the exchange is very much like a conversation between two people.
To achieve this goal, a great deal of artificial intelligence is required in the background. The system has to be able to extract from the context both the intention and the mood of the person asking the question. The progress in this area is so great that soon we are going to see dialogue systems that make it almost impossible for the user to figure out whether he is talking to a human being or a machine – this is the meaning of the catchphrase “turing test“.
2. Humanized big data: Real answers that stress quality over quantity
The trends Internet of Things (IoT) and Industry 4.0 bring intelligence to components and everyday appliances, resulting in a flood of data that is increasing exponentially.Big data is a technology that collects and analyzes the kind of data created by those processes. It is difficult to derive concrete action guidelines or actionable meaning from an analysis of current solutions, if the point is to make business decisions based on the collected data.
Hence, the current trend is pointed squarely towards “humanized big data”: Information should be processed in such a way that non-data scientists can also derive clear answers ̶ “actionable insights” ̶ from big data analyses and use them as a basis for decision making.
.3. Augmented Information: A 360-degree view of subjects and customers
The business sector links areas that were previously strictly separated from each other. In 2017, we’ll see an increased trend towards combining data from a variety of sources to provide employees with a 360-degree view of the customers and of subjects relevant for them. For this purpose, systems need to be able to make data available automatically across all applications, and all departmental and company boundaries. The coming year will bring forth appropriate systems for augmented information that, for the most part, will be based on enterprise search technology.
[Tweet ““Data are becoming the new raw material of business.” – Craig Mundie”]
4. Proactive information management: The digital assistant is just around the corner
Important information inevitably gets lost in the daily flood of information. For this reason, the business world will increasingly see systems in 2017 that provide users with the right information at the right time ̶ just like a personal assistant. This is exactly the principal on which the so-called proactive information management systems work: By permanently observing a person’s working methods and the type of information that he finds relevant, the system learns to differentiate between important and unimportant information and provide the former in a way that is proactive and timely.
5. Insight Engines: The competitive advantage of clever search
If you combine the first four trends, you end up with insight engines − a term coined by the market research company Gartner (https://www.gartner.com/doc/3176419/insight-engines-power-enterprise-search). Insight engines are company-wide knowledge centers that link all information from various internal and external sources and communicate it in natural language, and thus proactively provide relevant, contextual information with results that provide deeper insights.
Once a knowledge center is established, the system will either provide the answer to business-relevant questions itself, or lead you to the employee who has the appropriate know-how, whatever the case may be. Insight engines end up producing the basis for corporate-wide skill management and the promise that the company will finally “knowwhat it knows.”
6. Artificial intelligence: An essential prerequisite for digital transformation
The term “artificial intelligence” (AI) has been a part of technological development for quite some time. In contrast to earlier, tools and technologies −such as enterprise search − are available today that are capable of letting systems constantly learn and independently improve – which is what is meant by machine learning and deep learning.
Among other things, artificial intelligence will be used in the coming year to take over the so-called “monkey jobs”, the mental assembly line work. AI frees up resources that are necessary to keep the company on course through the digital transformation and ideally directly, helps develop new business ideas and models.