Data can be complicated to collect and it is often even more complex to understand in a way that brings a business value. Salesforce's Tableau business unit today announced the 2023.1 release of its enterprise platform known as Tableau Server, which can run on-premises or in an organization's own virtual private cloud deployment. Tableau is generally used as a data analytics technology that helps users get insights from data. The new 2023.1 update integrates enhanced features to help organizations connect to data including a data mapping feature that has been designed to make it easier to execute analytics on any data source. There is now also a deeper integration with Salesforce's Slack messaging application in a bid to help users benefit from data analytics directly within Slack.

Automated data storytelling is the future of analytics. That's the argument put forth by James Richardson during a conference hosted by automated data storytelling vendor Narrative Science (as reported here). I've spoken to Mr. Richardson on a couple of occasions and deeply appreciate his understanding and enthusiasm for data storytelling. He's been a champion for data storytelling at Gartner for years. It is his modifier'automated' that worked me into a Stephen Few -style lather.

Automated data storytelling is the future of analytics. Its rise, meanwhile, could signal the demise of self-service analytics. That was the premise of a presentation by James Richardson, a research director at Gartner who spoke on Feb. 24 during a virtual conference hosted by data storytelling vendor Narrative Science. According to Gartner, data storytelling will be the most widespread means of consuming analytics by 2025. In addition, by then a full 75% of data stories will be automatically generated using augmented intelligence and machine learning rather than generated by data analysts.

With the range of technology that marketers can use for both content marketing and generating new content ideas, it's no surprise that content generation itself can and would benefit from the use of Artificial Intelligence (AI). At okwrite, we engage the support of an AI-powered brand to guide our content creation. But there are additional technologies that use AI to actually write the content. This kind of technology for content marketers is still in its infancy and it has been interesting as a company to witness its evolutions. Considering the importance of creating original content, we thought it would be best to create a piece that takes a dive into content generation and AI.

It took a while, but natural language generation is now an established commercial software category. It's commented upon frequently in both industry media and the mainstream press, and businesses are willing to pay hard cash to take advantage of the technology. We look at who's active in the space, the nature of the technology that's available today, and where things might go in the future. A version of this article will appear in a forthcoming issue of the Journal of Natural Language Engineering. If you want to keep up with what's happening in the Natural Language Processing industry, subscribe to This Week in NLP.

As you might expect, this year, many companies use artificial intelligence (AI) and machine learning at the core of their business to deliver innovative products and service offerings. Anyone interested in AI should know about these 14 pioneering businesses.# This London-based company was founded in 2013 and operates under two business units: BenevolentTech's focus is to develop the artificial intelligence platform that will drive innovation by transforming the way scientists access and use the information available to them. BenevolentBio is the division that applies the tech to generate new ideas that will impact human health such as better medicines and research, insights and innovation for rare diseases. With a mission to make law free and understandable, Casetext leverages artificial intelligence technology to help legal researchers find the most relevant cases quickly.

In 2015, car-and-rocket man Elon Musk joined with influential startup backer Sam Altman to put artificial intelligence on a new, more open course. They cofounded a research institute called OpenAI to make new AI discoveries and give them away for the common good. Now, the institute's researchers are sufficiently worried by something they built that they won't release it to the public. The AI system that gave its creators pause was designed to learn the patterns of language. It does that very well--scoring better on some reading-comprehension tests than any other automated system.

In 2015, car-and-rocket man Elon Musk joined with influential startup backer Sam Altman to put artificial intelligence on a new, more open course. They cofounded a research institute called OpenAI to make new AI discoveries and give them away for the common good. Now, the institute's researchers are sufficiently worried by something they built that they won't release it to the public. The AI system that gave its creators pause was designed to learn the patterns of language. It does that very well--scoring better on some reading-comprehension tests than any other automated system.

If you've spent much time on Nanalyze, you know that we're passionate about technology and believe that we're living in the most exciting times in history. Our job is to keep you up-to-date about these changes in a variety of fields, so you can make informed financial decisions about where to invest or not--and learn some pretty cool stuff along the way. We talk about the good, the bad and ugly no matter what. Then we came across Narrative Science and its natural language generation (NLG) platform Quill, which uses artificial intelligence technology to write everything from financial reports to sports news. We knew that English degree would be obsolete someday.

Here's a scary fact that most SEO content creators may not want to face: AI-generated content is already happening. In 10 years, AI-generated content probably will be the norm. In 20 years, robot content creators might take over the reins entirely. "In 10 years the majority of content will be generated by software. In 20 years, humans will wonder why we wasted so much time on content creation. I can't see any other way around this." So, if you're a content creator, should you just give up now?