The future is dystopian: a world in which we humble humans will be replaced by fleets of slick automatons – mechanical menials destined to not only solder, weld and glue us out of jobs, but account, diagnose, and translate us out, too. Or, so goes a certain line of argument. Certainly, there have been some heavyweight concerns voiced about the rise of artificial intelligence. Of course, there are counterarguments too. Just as the Industrial Revolution sparked fears around the supplanting of man by machine (fears which lead some as far as destroying the new mechanical marvels: hence today's use of the word'Luddite' to denote those opposed to technological progress), all new vistas are likely to provoke both optimism and hesitance.
Of course, Google knows what you've searched for. So do Bing, Yahoo!, and every other search engine. And your ISP knows every website you've ever visited. Google also knows your age and gender -- even if you never told them. They make a pretty comprehensive ads profile of you, including a list of your interests (which you can edit) to decide what kinds of ads to show you.
In the era of big data, unless one's portfolio is in tune with the evolving digital trend, making prudent investment choices can prove to be a daunting task. Millennials have started to recognize the increasing need of the emerging automation trend and subsequently robotics, IoT, 3D printing are becoming part of our daily life with the latest buzzword being Artificial Intelligence (AI). While Siri and Ok Google have made life easier, the latest version of Global Positioning System helps track almost anything and everything along with its intelligent route map. Also, not being a pro on social network sites like Facebook, Twitter or snapchat can be seen as primitive. According to investment giant Jim Cramer, AI along with big data will soon let companies to bat a thousand.
In my previous blog, I showed you how to integrate Stanford CoreNLP with Talend using a simple example. In this post I'll show you how to modify that code in order to make the most of Talend's strengths as a data integration tool. Below is a Talend job I have built to read some tweets from a database (see this blog article for information on how to retrieve tweets with Talend), run the text through the CoreNLP sentiment analysis code, and then write tweets back to the database with the addition of the sentiment. In this particular example, the text to be analysed are tweets coming from a database. However, the same job will work with any string input.
In the movies, the emergence of Artificial Intelligence usually leads to robotic cyborgs going haywire, machines that threaten humanity, or a choice between a red or blue pill. The plotline almost always assumes the worst will happen. Instead, AI has tremendous potential to help improve performance for nonprofits and social good organizations and drive meaningful change in the world. But first we need to separate the buzz words and bravado from the real transformation that is taking place with AI for nonprofits:. Artificial Intelligence is, at its heart, enabling machines to process information and learn.