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Artificial Intelligence (AI) was invented several decades ago. In the past, many people associated AI with robots. But, it plays a crucial role in our lives now. Personal gadgets, media streaming gadgets, smart cars, and home appliances use artificial intelligence. Also, businesses use it to improve customer experience and management functions. Here are six artificial intelligence trends to look out for in 2020.

Each business should strive to offer an enjoyable customer experience. Satisfying existing customers helps businesses market new products and services. AI enables firms to improve their customer service by offering better response time and interaction. Artificial system assistance includes sales tasks and customer services. It will be more streamlined this year.

Digital marketing experts predict that customer service representatives wont be required to manage over 85 percent of customer support communication by December. Companies can use programs and applications with Artificial Intelligence systems to build brand reputation and loyalty. They will help them increase their revenue.

Data is making Artificial Intelligence more versatile. Data access enabling ubiquity is one of the recent Artificial Intelligence innovations this year. Reliable and accurate information helps businesses shift to AI-powered automated decision making. It has cut operational cost, streamlined processes, and improved the research capabilities of many organizations.

For example, developers of the autonomous car software can access a lot of driving data without driving the vehicles. Soon, we will witness a drastic increase in the application of Artificial Intelligence in real-world simulations. As AI becomes more sophisticated, it will cause cost-effective and widespread availability of crucial data.

Artificial Intelligence, NLP, and machine learning to process data have a positive effect on augmented analytics. More companies will start using predictive analytics this year. It is essential in customer service, recruitment, price optimization, retail sales, and supply chain improvement. Predictive analytics will help businesses use real data to prepare for outcomes and behaviors thus being more proactive.

Companies need to understand delivery services and customer preferences to have an edge over their competitors. All-pervasive location and real-time data have conformed customer services in online marketplaces and urban mobility. Businesses need to offer relevant and personalized services to remain relevant and widen their client base.

Instant data on current marketing decisions is part of real-time marketing. It relies on relevant trends and customer feedback to prepare strategies. The number of real-time marketing activities is expected to soar in 2020, and Artificial Intelligence will drive most of them. Besides, more companies will apply AI to manage real-time user interactions and satisfy clients.

Many businesses use chatbots to market products and make payments. They are efficient in offering exemplary customer service. Many chatbots use data from huge databases. But, they might not comprehend particular phrases. Chatbots will match human conversation this year. For instance, AI-driven chatbots can recall some parts of a conversation with a client and make a personalized conversation using them.

Artificial intelligence has many possibilities. It is one of the most important technologies in Industry 4.0 and automation, agriculture, aerospace, construction, logistics, robotics, and connected mobility. AI customer support and assistance, data access enabling ubiquity, predictive analysis, enhanced customization, real-time marketing activities, and AI-powered chatbots are the top artificial intelligence trends this year.

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Analytics Insight is an influential platform dedicated to insights, trends, and opinions from the world of data-driven technologies. It monitors developments, recognition, and achievements made by Artificial Intelligence, Big Data and Analytics companies across the globe.

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Artificial Intelligence Trends in 2020 - Analytics Insight

Made possible by the tremendous generosity of the Davis family and trustee of its charitable foundation Andrew Davis 85, LL.D. 15, the Davis Institute for Artificial Intelligence will provide new pathways for talented students and faculty to research, create, and apply AI and machine learning (ML) across disciplines while setting a precedent for how liberal arts colleges can shape the future of AI.

For decades the Davis family, through The Shelby Cullom Davis Charitable Fund, has contributed generously to the evolution of the academic and cocurricular experience at Colby, and the Davis Institute builds on this tradition of leadership. With Andrew Daviss support, his family provided a $25-million gift in 2017 to create DavisConnects, Colbys innovative model for post-graduate success, as well as a $10-million lead gift in 2013 to construct the Davis Science Center on Colbys campus. In 2000 the Davis family selected Colby as one of five partner institutions to pilot the Davis United World College Scholars Program (UWC), which funded UWC graduates attendance at Colby and continues to make a profound impact at the College.

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Davis Institute for Artificial Intelligence

By Elizabeth PennisiJun. 4, 2021 , 5:00 PM

With biodiversity in decline around the world, researchers are desperate to catalog all of Earths insects and other invertebrates, which represent 90% of the 9 million species yet to be named. To do so, scientists typically face long hours in the lab sorting through the specimens they collected.

Enter DiversityScanner. The approach involves a robot, which plucks individual insects and other small creatures one at a time from trays and photographs them. A computer then uses a type of artificial intelligence known as machine learning to compare each ones legs, antennae, and other features to known specimens.

The technology then imposes a color code, or heat map, over the image (see above). The warmer the color, say, red, the more the computer program depended on that body part to make a call on the type of insect it was. This heat map makes it easier for researchers checking the identification to see what the programs thought process was.

The robot then moves each insect into a plate with 96 tiny wells, readying these specimens for DNA sequencing. The resulting species-identifying piece of sequencea DNA barcodeis linked to the image in a database of all the cataloged specimens.

Although not quite as good as a human expert, the approach accurately classifies insects 91% of the time, the designers of the technology report in a study posted to the preprint server bioRxiv. That accuracy will improve as more specimens are added to the database, they note.

The researchers have made the software and 3D printing plans for the technology openly available. And, as the scientists describe in a second preprint, they have simplified the sequencing steps and software so that developing countries and small organizations can take advantage of it96 insects at a time.

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Artificial intelligence could help biologists classify the world's tiny creatures - Science Magazine

Founded in 2018 by Ajay Malik, previously serving as executive manager in companies like Google, Cisco and author of several publications on the AI, Oro designs and develops Artificial Intelligence solutions which are made available on a Software-as-a-Service basis. Oro's solutions allow to rapidly connect and cloud manage any hardware for smart control, monitoring and display of actionable insights using machine learning, deep learning, predictive analytics and data mining. Thanks to Oro's real-time edge AI solution, any device can be turned into a cloud managed intelligent endpoint, and customized AI pipelines can be easily deployed on the data generated on the edge. A set of ready-made and personalized apps is also available for clients to monitor their key performance indicators in real time.

The acquisition of Oro represents a strategic transaction for SECO, allowing it to add an important building block to its Artificial Intelligence portfolio and strongly increasing the software's weight on the Group's offering: thanks to a wide capability to integrate high value-added services, Oro will enhance SECO's capacity to target software-first clients, with a particular reference to the US market. In this way, SECO also internalizes further competences to customize its Artificial Intelligence algorithms, while ensuring proximity to the US-based clients with a presence in the heart of the Silicon Valley.

The transaction will be completed through SECO's subsidiary SECO USA, Inc., which will control a newly-incorporated company ("SECO Mind US" or the "Newco") holding the assets of Oro.

"This transaction allows to further accelerate the adoption of CLEA on the US market. We are delighted to welcome Ajay Malik and his high profile team of managers and outstanding developers on board. Thanks to them, we acquire top-level capabilities to customize the last mile of CLEA with the Artificial Intelligence module. The integration with dynamic, cutting edge and complementary companies with respect to our business will be an accelerator of our development process that will be accompanied by a solid organic growth," Massimo Mauri, SECO CEO, said.

"Global AI market is predicted to snowball in the next few years, reaching more than $190 billion market value in 2025. With CLEA and ORO AI Suite, we will be able to do rapid enablement of AI in EDGE or CLOUD 25x to 100x times faster than alternative approaches!," said Ajay Malik, who will take the role of CEO of SECO Mind US after the closing.

The closing of the transaction is expected by the end of June 2021.

Description of SECO

SECO SpA, (IOT.MI), a company listed on the Italian Stock Exchange STAR segment, develops and manufactures cutting-edge technological solutions, from miniaturized computers to fully customized integrated systems combining hardware and software. SECO also offers Clea, an end-to-end IoT and AI software suite

For more information: http://www.seco.com/

Contact:Marco ParisiHead of Investor Relations+39 3394241605[emailprotected]

SOURCE SECO

https://www.seco.com

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SECO invests in the Artificial Intelligence of Oro Networks - PRNewswire

Wikipedia is a free online encyclopedia with open information that was built by a community of people known as Wikipedians. Anyone who has registered on the site can submit an article for publication; however, editing articles does not require registration. The name of the website is derived from the wiki, a server program that allows anyone to modify website content using their browser.

It has come to light that Wikipedia has decided to employ artificial intelligence to learn more about the issue its facing and consider possible solutions.

Here are some of the ways Wikipedia uses Artificial Intelligence:

1/ Wikipedia is an open-source online encyclopedia that anybody may contribute to. The non-profit website forever revolutionized the way we obtain information by crowdsourcing the building of an encyclopedia. Its one of the top 10 most-visited websites on the web. However, it is not without problems. Anyone with the ability to edit Wikipedia can inadvertently add false information.

Computer scientist Aaron Halfaker describes how Wikipedia recently began implementing an AI system he designed to detect vandalism and bogus edits on articles using machine learning it can identify common patterns in vandalous edits, such as a tendency for improper character spacing, according to a report for Wired.

On the one hand, this means less work for volunteers who monitor for suspicious changes, but Wikipedia expects the change will attract a flood of new editors.

Its all about lowering the entry hurdle. Because Wikipedia relies on crowdsourcing for its content, it must establish rigorous guidelines for who can make modifications to key documents in order to prevent vandalism. On the other hand, it discourages many people who have excellent intentions and sound information.

Hopefully, more people will be devoted to authentic content by having smarter AI identification of flawed items and modifications. When the policing machines are clever enough, Wikipedias regulations for newbies could be relaxed a little. Some will, however, be concerned about whether machines will ever become intelligent enough to replace a major number of human editors.

2/ To combat the trolls, the Wikimedia Foundation teamed up with Jigsaw (the tech incubator previously known as Google Ideas) on a research project called Detox, which uses machine learning to identify comments that may be personal assaults. This project is part of Jigsaws open-source AI mission to tackle abuse on social media sites and web forums.

3/ According to Forbes, a Google Brain team trained software on how to summarize information from online pages and generate Wikipedia-style articles. Text summary turns out to be more challenging than most of us imagined. The efforts of Google Brain to get a machine to summarize text are slightly better than past attempts, but there is still work to be done before a machine can write with the cadence and flair that humans can. It turns out that we arent quite ready to have a machine generate Wikipedia entries automatically, but work is continuing to get us there.

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Wikipedia Uses Artificial Intelligence in These Amazing Ways - Analytics Insight