Victoria Alford The next wave of disruptive technology
Jinfo Blog

14th November 2017

By Victoria Alford

Abstract

Read Jinfo's latest articles and reports on artificial intelligence (AI) and machine learning.

Item

Stake your claim in the success of data analyticsAccording to Gartner, "Augmented analytics, an approach that automates insights using machine learning and natural-language generation, marks the next wave of disruption in the data and analytics market."

Companies nowadays are constantly changing, evolving and collaborating. And AI is now a massive part of these changes - for the better. Jinfo reviewer George Morgan, author of our "Market landscape - document review and AI" report, concluded that "Most of the work AI is doing are those parts of our jobs that we utterly dread and would love to hand over!"

Companies are looking more to transform their organisations with augmented analytics insight, and there are a number of platforms helping business to overcome the challenges of adopting AI, such as Birst which "helps businesses make smarter decisions through trusted insights gained by their network of analytics in the cloud". 

Using your organisation's data as a competitive advantage will help transform analytic workflows for all business users. It's something that can't be avoided and, more to the point, should be embraced.

So, what are your options?


AI: big news in the world of news

Other forms of AI include sentiment analysis (sometimes known as emotion AI) - a way to establish the emotion of a piece of writing.

Gone are the days when a person would manually interpret the news to make a trading profit; now the world of text and sentiment analytics is big news when it comes to using AI in news analytics.

Our recent Jinfo "Market landscape - text and sentiment analytics" delves into the field and reviews five products: covering typical users, geographic scope, special features, and value. If you want to find out more about using signal media and artificial intelligence in news then take a look at this Jinfo article from Martin Murtland.

 

AI: digging deep for content

Using AI for text mining and accessing real-time information is another way of using analytics to your organisation's advantage.

Jinfo recently reviewed a new advance in text mining solutions - Dow Jones DNA. Researcher Chris Porter explains in the review how Dow Jones DNA is a "significant advance on previous solutions for text mining, as it puts both a technical and a commercial/licensing infrastructure in place to give customers easy access to a significant body of licensed content, with a very deep archive."

In the review, you'll discover what advantages Dow Jones DNA has when it comes to helping companies access data, news and analytics that can be integrated into their own solutions (including text mining applications). Read more about this in our "Product review of Dow Jones DNA".

When it comes to analytics, yes - the machines are invaluable. But let's not overlook the value that information teams can add to analytics and data strategy. If they are brought in too late - or not at all - then projects can cost more and fail to achieve their objectives. To find out what Jinfo thinks is the solution to this problem, read through the other items in our Research Focus, "Stake your claim in the success of data analytics".

 

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