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Machine learning is critical to computing and the advancements being made with artificial intelligence. All computers use algorithms to provide instructions for how to proceed with processes, solve problems, perform calculations, and more. With artificial intelligence, such operations can be done autonomously, and that requires machine learning. Basically, machine learning creates algorithms that AI systems can use to process data and learn new things without having to be programmed. For instance, AI systems with machine learning capabilities can recognise faces, detect instances of fraud, predict customer behaviour, and much more. One area that is being transformed by machine learning is the online gaming industry.

How Machine Learning Is Transforming Video Games

Machine learning is being adopted in video game development in various ways. For instance, it is being used via deep learning agents that compete with professional human players in complex strategy online games, such as Minecraft, Doom, and StarCraft. In the future, machine-learning non-playable characters in video games could get smarter and respond in unique ways based on your actions within a game. Other ways machine learning could be used in online video games in the coming years include:

Modelling complex systems, so that games can be better-modelled on the real world and become more immersive and realistic.

Making games more aesthetically pleasing, by enhancing and rendering imagery so that details become finer when they are approached in gameplay.

World creation on the fly, in which machine learning algorithms would help with pathfinding and creating game worlds.

How Machine Learning Is Transforming the Online Gambling Sector

It is not only online video games that are benefitting from machine learning. Gambling-sector games are also becoming transformed. For example, in the last few years, the Danish national lottery Danske Spil has begun using machine learning and advanced analytics algorithms that can provide a multitude of insights. Online casinos, including ones like Casumo live casino in which players play games like blackjack and roulette in real-time with real croupiers, are also becoming transformed due to the adoption of machine learning. Here are some of the key ways in which machine learning could change the online casino industry over the next decade.

Improved Customer Experience

Platforms like Netflix already use machine learning to suggest movies and shows based on users' viewing histories. Online casinos will be able to do the same thing. Player behaviour can be analysed to provide highly-customized game suggestions.

Enhanced Marketing

The marketing aspect of online casinos is due to be enhanced with the use of machine learning. Potential customers could be found more easily and customized bonuses could be used to bring those customers to a specific online gaming platform.

Better Player Protection

With the proper screening, it will be possible to identify players who have early signs of gambling problems. That simply would not be possible without machine learning. So, better player protection looks likely to become an integral part of the online casino industry's future.

Smarter Opponents

Machine learning has already enabled artificial intelligence to take on human players in all manner of casino games. As machine learning continues to become enhanced, AI bots will become more sophisticated. That means artificial opponents can become smarter, and it allows various new gaming options for the future.

Cost-cutting

As machine learning and artificial intelligence are used more and more by the online gaming industry, a number of costs can be saved and the efficiency in a multitude of spheres can be enhanced. Things like online payments, security, and customer support will become transformed in the next few years.

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How machine learning Is transforming the online gaming industry - The Munich Eye

The AI Standards Working Group, co-chairedby IBM Watson Advertising and Nielsen, today released theguideArtificial Intelligence Use Cases and BestPractices for Marketing, which is intended to help executives, marketers, and technologists get the most from artificial intelligence (AI) and machine learning (ML). The announcement was made duringthe IAB ILM annual conference.

The guide -- which provides dozens of working examples -- draws directly from the real-world experience of the co-chairs as well aspublishers, agencies, and ad-tech companies. Itincludes nine use cases that span internal robotic process automation and data migration for agencies as well as AI use cases for creative,contextual, video, and more.

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David Olesnevich, head of product at IBM Watson Advertising, and IAB AI Standards Working Group co-chair, believes the work and the guideprovide a road map through insights driven by conversations about real-world challenges faced daily by some of the industry's largest brands.

It felt natural toform this group, so we reached out to IAB to generate momentum, because with privacy forwardness, changes in identifiers, and government regulators we will need technology that canscale, he said. We believe thats AI.

AI was once deployed in advertising at the DSP level, which is very transactional, but now is beingused across the entire stack, including planning and the development of creatives.

Bias is one of the key topics the group will address, based on feedback fromindustry participants following todays release.

The reason why bias is scheduled to be the next topic of discussion is because it was on everyonesradar, he said, adding that it is an issue the group will address head on with other partners like Dentsu, GumGum, and Dun & Bradstreet.

EvenGoogle is using AI to create Cohorts.

Onegoal of the guide is to share different perspectives on how AI and ML could work, along with adoption, as well as to understand different views based on groups within the industry.

Feedback from C-suite agency executives suggests they are apprehensive about aligning AI and ML to their business priorities and objectives, how to ensure teams havethe skills they need to use the technology, and finding ways to implement solutions with a third-party partner or leveraging existing internal resources.

Despite theconcerns, C-suite agency executives do expect the technologies to create a competitive advantage, and to increase profit margins by reallocating manual effort against work by offloading criticalbusiness function, leaving the tedious tasks to machines.

Marketers have a different take on what the technologies can do, and the apprehensions that might keep themfrom using them.

Marketers look toward AI and ML to automate ad creation for addressable and non-addressable programmatic media formats, automatic media mix modelingbased on brand and performance metrics, and optimize audiences based on addressable and non-addressable programmatic media formats.

They are apprehensive about the biastheir efforts might create. When it comes to bias, they wonder whether a media vendor is using AI or ML to benefit them or their clients, and are concerned about the lack of human touch that resultsin issues at the account level, and will adoption help or hurt their career development.

Technologists are also concerned that the algorithms running the AI and MLcould be biased and assume certain behavior based only on race or gender. They also have concerns that AI-based systems might not perform fast enough or scale to their intended level, and that thedata to build a performant algorithm might not be available or affordable.

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IAB Artificial Intelligence Group To Build Standards, With Focus On AI, Machine Learning, Bias 03/10/2021 - MediaPost Communications

Twitter is out and Instagram is in, at least for advertising. That is a key takeaway fromSocialInsider's 2021 social networking benchmarks. According to their latest dataTwitter posts are netting brands an engagement rate of about 0.07% while ads onimage-heavy site Instagram is netting engagement rates of about 1.16%, an increase of6% from 2019 through 2020, and Facebook is bringing in an engagement rate of about0.27%.

Researchers studied more than 22 million posts on the various social networks to cometo their findings, but it isn't just where brands post. In social it's all about what brandspost, and in 2020 those posts needed to be more about products.

Spurred by ongoing protests about racial injustice and political polarization, postsacross all the social networks that dealt with politics saw higher engagement rates thanthose that didn't refer to social issues. Breaking this trend down by platform:

Instagram posts that were politically motivated saw engagement rates increaseto 2.9%, up nearly 2% over 2019Political Facebook posts saw engagement rates increase to 0.90%Twitter posts dealing with politics or social issues had engagement rates of0.47%

One other thing to remember about social media posts, whether straight-up advertisingor joining in a cause: it's all about image. Not just the brand image, but according toSocialInsider, posts in all three major social networks that were image based receivedhigher engagement rates than posts that were script based.

This will come as no surprise to those familiar with Instagram, which is photo/imagebased; about 84% of brands using Instagram are primarily posting images. About three-quarters (75.14%) of brands on Facebook are focused on image-based posts, andabout half of brands on Twitter are posting images

Moredata from SocialInsider's 2021 benchmarks can be accessed here.

Tags: Facebook advertising, Facebook trends, Instagram advertising, Instagram trends, social marketing, social marketing trends, social network trends, SocialInsider

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Breaking down Social: Ads on IG more engaging that other social networks - Social Marketing - BizReport

NEW PROVIDENCE, NJ - Online audiences are growing exponentially, but many businesses wonder how they can effectively and affordably access this universe, and when they do, how can they attract a potential customer that is interested in and local to their place of business? The answer is content marketing on a local news site combined with social media lift.

Here at TAPinto, each site is locally focused, which attracts a local audience to your business. 40 percent of TAPintos established readership reports that they buy products or services they see marketed on TAPinto. Meanwhile, aligning your businesss brand with TAPintos well-regarded reputation further enhances your business in the community.

Through TAPintos do-it-yourself marketing platform, businesses and organizations can reach local audiences in a multitude of ways, including press releases/announcements, events, classified ads and real estate listings. The best part is...each piece of content can be upgraded to include a paid partnership post on our local TAPinto Facebook pages, enabling the business to reach deep into our local audience.

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Facebook defines a paid partnership as a creator or publisher's content that features or is influenced by a business partner for an exchange of value.

The benefit of joining in a paid partnership with any brand is visibility of your brand. Your established audience already knows the value of your product or service and believes in it enough to be a follower. While their word of mouth will generate some new leads, content marketing combined with a paid partnership will share your brands value beyond your current customers.

Your brand will be able to reach a wider audience in your local area by leveraging the established audience of your local news sites followers. Together, your brand will reach well beyond your current customer base.

For more information on marketing opportunities, please click here.

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Content Marketing and Social Media Can Lift Your Business to New Heights - TAPinto.net

The Global Content Creation and Social Marketing Tools Market research report provides a basic overview of the market by offering study and analysis of various parameter involved in the industry including definitions, trends, classifications, challenges and risks, applications and industry chain structure.Hence the research report gives the in depth analysis of the industry with quantitative as well as the qualitative solutions for the market users. The Global Content Creation and Social Marketing Tools Market report offers a comprehensive overview of the market on the basis of market size and growth opportunities by studying various parameters such as product type, application, prominent companies and regions.

Get a sample of the report @ https://www.orbisresearch.com/contacts/request-sample/4747288

The Major Players Covered in Global Content Creation and Social Marketing Tools Market are:The major players covered in Content Creation and Social Marketing Tools are: Xtensio, Hootsuite, CoSchedule, Buffer, Grammarly, Quora, Beacon.by, Hemingway, TalkWalker, SnapApp, BuzzSumo, Wistia, JotForm, MailChimp, etc.

Global Content Creation and Social Marketing Tools Market by Type:By Type, covers:Cloud BasedOn-premises

Global Content Creation and Social Marketing Tools Market by Application:By Application, can be divided intoLarge EnterprisesSMEs

Market segment by Regions/Countries, this report coversUnited StatesEuropeChinaJapanSoutheast AsiaIndiaCentral & South America

Read complete report @ https://www.orbisresearch.com/reports/index/global-and-china-content-creation-and-social-marketing-tools-market-2020-by-company-type-and-application-forecast-to-2025

The key segments covert in the research report:

The purpose of the research report:

For Enquiry before buying report @ https://www.orbisresearch.com/contacts/enquiry-before-buying/4747288

The report summarizes various aspects of the Global Content Creation and Social Marketing Tools Market through comprehensive study. Hence the report covers all the parameter such as SWOT analysis, strategic solutions and moves, recent developments, product portfolio, financial performance of the key market players, regional analysis and many more.

About Us:Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients.

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Content Creation and Social Marketing Tools Market SWOT Analysis by Top Companies The major players covered in Content Creation and Social Marketing...