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2020 Vision: The Future of Business Information 

Information Happens

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

Are Machines Going to Take Your Job?

by Leonard Hancock on March 6, 2017

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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: Machine Learning, AI, Artificial Intelligence

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.

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

Machine Learning in Searches for Business Information

by Leonard Hancock on January 27, 2017

How Search Engines Are Increasingly Driven By Machine Learning

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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: Machine Learning, Business Information, AI, Information Portals, Artifical Intelligence, 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?

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

The Future of AI in the Workplace: What Industries Will Be Affected?

by Kari Walgran on November 17, 2016

Part 2 of a 2-part series on how artificial intelligence is transforming workplaces and redefining jobs.

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Part 1 explored key statistics, predictions and analysis about AI in the workplace. In this section, we will examine reports and predictions about the industries and occupations most likely to be affected by AI, which occupations are considered safe from automation, and how workers and workplaces can respond to the coming changes.

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Topics: Competitive Intelligence, 2020 Vision, AI

The Future of AI in the Workplace - Will a Robot Steal Your Job?

by Kari Walgran on October 21, 2016

Part 1 of 2-part series on how artificial intelligence is transforming workplaces and redefining jobs.

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In previous posts, we have discussed the various forms of artificial intelligence (AI), the role of AI in advertising and marketing, and the widespread adoption of AI technologies in businesses throughout the world. 

As AI becomes more widespread and related technologies continue to advance, industries increasingly rely on these innovations to streamline and modernize the way they conduct business. But what will these changes mean for humans whose jobs are drastically altered or eliminated by AI in the workplace? Are we facing an onslaught of job-stealing robots poised to destroy society as we know it? Or is there a less terrifying, but still very high-tech, way of transforming our approach to work so that humans can function alongside intelligent machines?

Below is a roundup of resources that explore the impact of AI technologies in the workplace. Read on to learn more about key statistics and predictions, which industries are likely to be affected, and where we go from here.

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Topics: 2020 Vision, Digital Transformation, AI, Data Analytics

Artificial Intelligence in Marketing and Advertising

by Kari Walgran on October 10, 2016

AI insights and resources for digital information strategists.

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We have previously discussed the importance of artificial intelligence (AI) to business information technology. AI innovations are everywhere and stand to transform the way that humans process information and manage personal and professional business.

Marketing and advertising are key growth areas, as AI offers opportunities for personalization, customization and direct communication between brands and consumers.

Below is a curated list of 13 resources to help information professionals understand and apply key insights about the state of AI in advertising and marketing today and in the future.

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Topics: 2020 Vision, Information Management, AI