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Artificial intelligence-enhanced journalism offers a glimpse of the future of the knowledgeeconomy

Much as robots have transformed entire swaths of the manufacturing economy, artificial intelligence and automation are now changing information work, letting humans offload cognitive labor to computers.

In journalism, for instance, data mining systems alert reporters to potential news stories, while newsbots offer new ways for audiences to explore information.

Some estimates suggest that current levels of AI technology could automate only about 15% of a reporter’s job and 9% of an editor’s job.

Reporting, listening, responding and pushing back, negotiating with sources, and then having the creativity to put it together – AI can do none of these indispensable journalistic tasks.

But developing it took a ton of work, both editorial and technical: Editors had to figure out what to tag and whether the algorithms were up to the task, then develop new test data sets to evaluate performance.

Stuart Myles, the AP executive who oversees the project, told me it took about 36 person-months of work, spread over a couple of years and more than a dozen editorial, technical and administrative staff.

The system relies on a stable of six journalists who find government data sets tabulated by geographic area, identify interesting and newsworthy angles, and then develop those ideas into data-driven templates.

4 THEN text = “minor earthquake.” Tools like Arria also contain linguistic functionality to automatically conjugate verbs or decline nouns, making it easier to work with bits of text that need to change based on data.

For instance, template writers need to approach a story with an understanding of what the available data could say – to imagine how the data could give rise to different angles and stories, and delineate the logic to drive those variations.

It’s almost like the work a team of software engineers might do in debugging a script – and it’s all work humans must do, to ensure the automation is doing its job accurately.

As these new jobs evolve, it will be important to ensure they’re good jobs – that people don’t just become cogs in a much larger machine process.

But I’m optimistic that focusing on the human experience in these systems will allow journalists to flourish, and society to reap the rewards of speed, breadth of coverage and increased quality that AI and automation can offer.

Top 10 Benefits Of Artificial Intelligence

Did you know that Artificial Intelligence will contribute a whopping $15.7trillion to the global economy by 2030!?

Such tools help to free the employees from tedious manual tasks and allow them to focus on complex tasks like strategizing and decision making.

This bot uses Machine Learning techniques like Deep Learning and Natural Language Processing to understand and analyze legal documents, find and fix costly legal errors, collaborate with experienced legal professionals, clarify legal terms by implementing an AI-based scoring system and so on.

Driven by advanced Machine Learning, Deep Learning, Natural Language Processing, and predictive modeling, Einstein is implemented in large scale businesses for discovering useful insights, forecasting market behavior and making better decisions.

This growth in AI has helped companies solve complex issues such as fraud detection, medical diagnosis, weather forecasting and so on.

Machine learning and deep learning algorithms mine data from the customer’s purchasing history in addition to reviewing patterns of likely fraud stored in its databases and can tell whether a particular transaction is fraudulent or not.

Regardless of whether AI is considered a threat to the world, it is estimated to contribute over $15 trillion to the world economy by the year 2030.

According to a recent report by PwC, the progressive advances in AI will increase the global GDP by up to 14% between now and 2030, the equivalent of an additional $15.7 trillion contribution to the world’s economy.

The report also states that approximately $6.6 trillion of the expected GDP growth will come from productivity gains, especially in the coming years.

Major contributors to this growth include the automation of routine tasks and the development of intelligent bots and tools that can perform all human-level tasks.

It does this by creating credit report updates, facilitating bill payments and helping customers with simple transactions.

Edureka Erica’s capabilities have recently been expanded to help clients make smarter financial decisions, by providing them with personalized insights.

As of 2019, Erica has surpassed 6 million users and has serviced over 35 million customer service requests.

Research from McKinsey found that brands that excel at personalization deliver five to eight times the marketing ROI and boost their sales by more than 10% over companies that don’t personalize.

Capable of reaching max speeds of 11 mph, the machine is intended to patrol areas and, in the case of danger, can deploy an “electrically charged riot control tool.”

For most of us, precise weather forecasting makes vacation planning easier, but even the smallest advancement in predicting the weather majorly impacts the market.

This partnership gave IBM access to the Weather Company’s predictive models, which provided tons of weather data that it could feed into IBM’s AI platform Watson to attempt to improve predictions.

The system provides highly customized information for business clients by using hyper-local forecasts –

Edureka Amazon monitors our browsing habits and then serves up products it thinks we’d like to buy, and even Google decides what results to give us based on our search activity.

Just like how Eliezer Yudkowsky, co-founder and research fellow at the Machine Intelligence Research Institute quoted: “By far, the greatest danger of Artificial Intelligence is that people conclude too early that they understand it.”

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