2020 Vision: The Future of Business Information 

Information Happens

Why "Augmented Intelligence" is Trending

by Phoebe Allen on July 6, 2018

What is Augmented Intelligence and why has it become a business buzzword?


2018 finds many sectors making a vernacular shift away from Artificial Intelligence (AI), but not merely to allay people’s growing trepidation surrounding the term. Humans remain necessary for AI to be effective. Unsupervised machine learning is still prohibitively complex and expensive, and supervised machine learning can only go so far. AI has other limitations; Natural Language Generation (NLG) technologies are not being employed to write novels or legislation, but rather to summarize complex data sets or churn-out rote descriptions for websites. At present, AI largely revolves around its capacity to assist human intelligence rather than replace it. As such, the spreading prevalence of the term “Augmented Intelligence” makes sense.

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Topics: augmented intelligence, Natural Language Processing, Natural Language Generation, Machine Learning, Artificial Intelligence

Intuition and the Limits of Natural Language Generation

by Phoebe Allen on June 8, 2018

Natural Language Generation lacks the insight that participation provides


Natural Language Generation (NLG) is a software process that converts complex systems (data) into text (prose) that is comprehensible to humans. NLG is a relatively new use for Artificial Intelligence (AI) that, since its advent, has helped accelerate operations across multiple sectors by quickly translating and summarizing datasets that would otherwise take thousands of working hours to interpret.

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Topics: augmented intelligence, Natural Language Processing, Natural Language Generation, Machine Learning, Artificial Intelligence

Relationships Define Natural Language Processing

by Leonard Hancock on March 13, 2017

Vectors, ontologies, embeddings and sentiment analysis: how relationships between words are the foundation of NLP

Human language follows unexpected patterns. Varied forms of syntax and metaphor, together with context and repetition, make classification challenging for both humans and machines. Manual classification of unstructured linguistic data by human curators can be valuable, but without technological assistance, is time consuming and potentially rife with errors. When such “natural language” data is left untouched it is less usable. Enterprises are faced with the challenge of transforming huge amounts of this raw data into actionable intelligence.

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Topics: Natural Language Processing, AI, Machine Learning, Ontologies, Sentiment Analysis

Are Machines Going to Take Your Job?

by Leonard Hancock on March 6, 2017

Separating Panic from Prediction as Artificial Intelligence Replaces Careers robots.jpg

For decades Hollywood has entertained the public with stories about how Artificial Intelligence (AI) will become smart enough to replace us. These stories may have an air of authenticity for manufacturing workers, especially as machine learning has enabled robotic process automation (RPA) to handle increasingly complex tasks. But some may rightly feel it is nothing new or particularly worrisome; factory workers have seen their jobs supplemented by machines for many years.

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Topics: AI, Artificial Intelligence, Machine Learning

Human Content Curation Helps Prevent Spread of "Fake News"

by Leonard Hancock on February 2, 2017

Combining AI and an editorial team can prevent "fake news" and other unreliable information from influencing business decisions.


Not all content is created equal. Moreover, not all content can be trusted. New York Times followers received a sharp reminder of this axiom on Sunday, January 22, when OurMine, a hacker “security” group, infiltrated one of the media organization’s Twitter accounts. OurMine tweeted a fake news brief through the New York Times' video account (@nytvideo) claiming that Russia had launched a missile attack against the United States. The source was supposedly a “leaked statement” from Russian President Vladimir Putin. The Times quickly removed OurMine’s fake tweet: “We deleted a series of tweets published from this account earlier today without our authorization,” they reported via Twitter. Unfortunately, not everyone seems to realize that not all content can be trusted.

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Topics: Information Management, content curation, Cybersecurity, Fake News, IT Security, Machine Learning, AI

Machine Learning in Searches for Business Information

by Leonard Hancock on January 27, 2017

How Search Engines Are Increasingly Driven By Machine Learning


Machine learning is an application of artificial intelligence (AI) expected to proliferate even further throughout the business world in 2017.  When specific, rule-based algorithms are impossible or ineffective, machine learning is advantageous - smart machines can utilize data by teaching themselves to improve from it. Machine learning’s versatility is such that almost any process could be improved by it. When dealing with business information, maybe no process is more  important than search tools, an area where machine learning has been truly revolutionary.

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Topics: Business Information, Artifical Intelligence, AI, Information Portals, Machine Learning, Automation, Search Engines, Google Search, RankBrain, Deep Learning

How Business Information Can Support Artificial Intelligence

by Leonard Hancock on January 18, 2017

Can Informing Workers Ease the Implementation of AI?


It is always a challenge for companies to embrace investment in new technologies. Many have recently funded new IT systems, and are understandably reluctant to abandon these investments for what they perceive as passing trends. But artificial intelligence (AI) and automation are not passing trends, and those who are able to evaluate new advances in a business context will be better positioned for success.

AI and automation have management teams scrambling to keep up with the latest advances in productivity, and workers struggling to develop greater proficiency. For both groups, knowledge is key. Business information and the technologies to support it are valuable tools for getting buy-in from employees as AI and automation are implemented.

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Topics: Business Information, Artifical Intelligence, AI, Information Portals, Machine Learning, Automation

A Breakdown of Key Concepts Shaping Business Information Technology

by Kari Walgran on September 23, 2016

Artificial Intelligence. Machine Learning. Natural Language Processing.


Artificial intelligence. Machine learning. Natural language processing. Once the stuff of science fiction, these high-tech unions of human intelligence and computing capabilities, of algorithms and efficiencies, have already transformed business information technology, and they are poised for even greater growth in the future.

With drastic changes in information processing compounding the ever-growing volumes of information being produced, it is critical for digital strategists to develop a working knowledge of key concepts and terminology.

Read on for a glossary of key terms, along with links to further reading and resources.

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Topics: Natural Language Processing, Machine Learning, Artifical Intelligence, Business Information Technology

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